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Development of Extracellular Vesicle Therapeutics: Challenges, Considerations, and Opportunities
Bethany Claridge, Jonathan Lozano, Qi Hui Poh and 1 more
Frontiers in Cell and Developmental Biology · 2021 · Review · CC BY
Abstract
Extracellular vesicles (EVs) hold great promise as therapeutic modalities due to their endogenous characteristics, however, further bioengineering refinement is required to address clinical and commercial limitations. Clinical applications of EV-based therapeutics are being trialed in immunomodulation, tissue regeneration and recovery, and as delivery vectors for combination therapies. Native/biological EVs possess diverse endogenous properties that offer stability and facilitate crossing of biological barriers for delivery of molecular cargo to cells, acting as a form of intercellular communication to regulate function and phenotype. Moreover, EVs are important components of paracrine signaling in stem/progenitor cell-based therapies, are employed as standalone therapies, and can be used as a drug delivery system. Despite remarkable utility of native/biological EVs, they can be improved using bio/engineering approaches to further therapeutic potential. EVs can be engineered to harbor specific pharmaceutical content, enhance their stability, and modify surface epitopes for improved tropism and targeting to cells and tissues in vivo . Limitations currently challenging the full realization of their therapeutic utility include scalability and standardization of generation, molecular characterization for design and regulation, therapeutic potency assessment, and targeted delivery. The fields’ utilization of advanced technologies (imaging, quantitative analyses, multi-omics, labeling/live-cell reporters), and utility of biocompatible natural sources for producing EVs (plants, bacteria, milk) will play an important role in overcoming these limitations. Advancements in EV engineering methodologies and design will facilitate the development of EV-based therapeutics, revolutionizing the current pharmaceutical landscape.
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From PubMed Central, U.S. National Library of Medicine, as current on Oct 21, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Extracellular vesicles (EVs) are nanosized, membranous cell-derived particles with important roles in exchanging molecular information between cells; they have been shown to contain and transfer proteins and nucleic acids (DNA, mRNA, miRNA) to recipient cells, modulating their functional activity through transcriptional and translational regulation; transfer of organelles has also been highlighted by EVs, including mitochondria, to regulate inflammatory response. EVs can be classified by their biogenesis and biophysical/biochemical characteristics. The subtypes include intracellular formed exosomes (50–200 nm) secreted after fusion of multivesicular bodies with the cell surface, microvesicles (100–1,000 nm) formed by outward budding of the plasma membrane, shed midbody remnants released during cytokinesis (200–600 nm), and apoptotic bodies (100–5,000 nm) released during apoptosis. The International Society for EVs (ISEV) recommends the use of “EV” as a broad classifier term for these types of vesicles, due to the difficulty in assigning an EV to a particular biogenesis pathway, and instead recommends classifying EVs by their physical attributes (size, density), their differing biochemical composition, and surface charge. The nature and relative abundance of EV cargo is selectively determined during EV biogenesis, and varies according to EV subtype and state/type of the producing cell. Importantly, EVs, comprising of a lipid membrane and aqueous lumen, provide a pathway for the transfer of hydrophobic and hydrophilic components allowing for complex intercellular signaling.
Due to their nanoscale size, stability, biocompatibility, and propensity for cellular uptake, EVs have been recognized as viable vehicles for therapeutic application. Recent studies have highlighted the therapeutic potential of EVs, investigated in clinical trials (phase I/II) for their regenerative capacity (NCT04223622), vaccine potential, immunotherapeutic activity, and application as delivery vectors (NCT01294072). Indeed, pre-clinical and therapeutic applications of EVs across a wide range of pathologies for tissue repair and regeneration are well underway (Table 1). Critically, stem cell-derived EVs can ameliorate the effects of various diseases in the liver (fibrosis, hepatitis, inflammation), brain (stroke), heart (myocardial infarction, contractility), kidney (renal ischemia, stenosis), and immune system [reviewed in and ]. EVs have been shown in various mechanisms to regulate the immune system, enhancing or inhibiting the immune response depending on their parental cell source and of the immune context of the application site, demonstrating a potential use in immunotherapy. Indeed, EVs exert specific and potent therapeutic effects on recipient cells because of complex bioactive properties and are an effective and efficient system of cell-cell communication, surmounting biological barriers.
The diverse beneficial effects of seemingly identical entities [i.e., mesenchymal stem cell (MSC)-EVs, bone marrow-derived stem cell (BMDSC)-EVs] suggests a complex repertoire of active cargo working synergistically, as opposed to a single molecular component. As such, a global view of EV-based therapeutic action is needed. The biological cargo harbored by EVs, including proteins, nucleic acids, and lipids [reviewed in,, ] (Table 2), greatly influence their clinical potential. The protein and lipid expression of EVs yield insights into their surface receptor mediated interactions with, and effects on recipient cells, including their fusion and uptake, while their genetic landscape sheds light on the EVs’ reprogramming potential through regulation of protein expression. Findings from such studies have inspired strategies for EV-based therapeutic development, such as the modification of their contents to perform a specified function for a specific disease phenotype (Table 3). Comprehensive deciphering of EV biochemical and biophysical heterogeneity, variable composition, pharmacokinetic behavior, and functional diversity needs to be addressed in order to harness their potential as next generation therapeutics.
Advances and applied technologies which can be used to reproducibly monitor form and function of EVs at molecular and structural levels will be instrumental in future development of EV research knowledge, and therapeutic design and application. Bioinspired engineered EVs/nanovesicles have emerged as an alternative to native EVs to address issues in production, purity, scalability, and economic viability, while maintaining key properties required for in vivo trafficking, biological function, and therapeutic efficiency. Recent advances in bioengineering have allowed the refinement of cargo loading, targeting capacity, and pharmacokinetic properties of EV-based therapeutics, both native and mimetic.
Here, we focus on recent advances in clinical utility of EVs, understanding the molecular complexity of bioactive cargo, avenues for bioengineering, and monitoring the form and function of EVs intended for clinical use. For further discussion on topics not covered in extensive detail here, we direct readers to the following recent reviews and position papers.
Current Developments in EV-Based Therapeutics
Recent years have seen significant development and translation of EV-associated therapeutics, progressing to pre-clinical and clinical studies (Table 1). Further, the capacity of EVs to transfer biological and pharmaceutical molecules to specific tissues and cell types has raised considerable interest in their development as biocompatible drug delivery systems [reviewed in;;; and ]. At present, https://www.clinicaltrials.gov lists 224 studies which include “exosome,” 84 with “extracellular vesicle,” 9 with “nanocarrier,” 4 with “engineered exosome,” and 2,101 with “liposome.” While a portion of these are diagnostic/biomarker studies, most are clinical trials based on pre-clinical therapeutic success in wound healing (NCT04761562, NCT04281901, and NCT04664738), heart disease (NCT04327635), COVID-19 (NCT04657458, NCT04493242, NCT04276987, NCT04747574, NCT04389385, and NCT04969172), infectious disease (NCT01478347, NCT01717638, and NCT04350138), diabetes (NCT02138331), stroke (NCT03384433), arthritis (NCT04223622), and drug delivery (NCT01294072, NCT02889822, and NCT04217096). While classified as EV therapies, such studies are more often comprised of a variety of secreted components (i.e., secretome containing soluble factors and EVs) than purified EVs (Table 1). Various terminology is used in the field, including “extracellular vesicles,” “exosomes,” “secretomes,” “nanoparticles,” or components “enriched in extracellular vesicles.” Regardless of terminology or composition, these therapies utilize the functional capacity EVs/secreted components have to mediate a recipient-cell response through the delivery of cargo including siRNAs, miRNAs, proteins, small molecule drugs, and molecular toolkits.
Immunomodulation
Extracellular vesicles hold the potential for potent immunomodulation, both in eliciting and suppressing immune response. EVs share structural similarities to viruses and recent findings demonstrate that viruses exploit mechanisms associated with EV uptake and release. Previously, the ground-breaking application of EVs in anti-tumor immunotherapy led to two clinical trials where EVs activated patient immune response against tumor antigens. Since then, refinements in EV production and modification have led to successful reduction in tumor size in various pre-clinical models and additional clinical trials exploiting their immunomodulatory capabilities to target various cancer types (NCT01550523, NCT01159288, and NCT02507583). The use of EVs as antigen vehicles is an approach still under development, but does represent the most successful translated application. The FDA approved Bexsero bacterial outer membrane vesicle (OMV)-containing meningococcal vaccine is administered to protect against meningococcal group B. This vaccine exploits the complexity of bacterial OMVs to boost immunogenicity of multi-component formulas over those without OMVs. Anti-viral EV-based vaccines are also in development, with pre-clinical success against COVID-19, influenza H1N1, influenza H3N2, and MERS-CoV. In addition to immune-priming, EV therapeutics hold the potential for deactivation and suppression of over-active immune responses. Indeed, although results have yet to be released, a clinical trial is underway examining the therapeutic effect of MSC-derived EVs in the autoimmune disease Type I diabetes (NCT02138331). Pre-clinical success in the treatment of sepsis, inflammatory bowel disease, and multiple sclerosis suggests EV-mediated treatment of inflammatory and autoimmune disorders may soon expand further into patient trials.
Regeneration and Recovery
Extracellular vesicle therapeutics are also being explored to facilitate/promote recovery and regeneration following injury, surgery, and tissue damage, such as that arising from viral infections [i.e., pulmonary damage in COVID-19]. There are currently 13 clinical trials treating COVID-19 with “exosomes” or “extracellular vesicles” (NCT04902183, NCT04798716, NCT04602442, NCT04747574, NCT04491240, NCT04389385, NCT04276987, NCT04657406, NCT04384445, NCT04623671, NCT04493242, NCT04657458, and NCT04969172). Although no large studies have released results, a case report of three critically ill patients administered with amniotic fluid-derived nanoparticles (likely containing EVs and other small extracellular particles) revealed the therapy had no adverse effects and the patients’ status improved. There are now clinical trials further evaluating the safety and efficacy of this treatment for COVID-19 (NCT04384445, NCT04657406). Another major application of EV therapies is in accelerated and improved healing and regeneration of damaged tissue. There are promising results in the utilization of EVs to repair arthritic joints (NCT04223622) and spinal-cord injuries, with tissue restoration in EV treatments exceeding that of untreated animals/tissue. As these are recent developments, mechanism of action and clinical translation are still underway. However, there are many clinical trials addressing the regenerative capacity of EVs in surgical and dermal wound healing and tissue regeneration (NCT04652531, NCT04173650, NCT04664738, NCT04761562, and NCT04281901). The regenerative capacity of EVs is also relevant in rescuing and restoring function in damaged organs, including brain and heart. Animal models of stroke treated with EVs show improved outcomes, in particular those derived from MSCs overexpressing miR-133b. Indeed, overexpression of miRNAs in EVs represents a promising avenue, with a clinical trial administering EVs enriched with miR-124 for stroke recovery underway (NCT03384433). Cardiac damage following myocardial infarction is debilitating and previously un-preventable, however, there has been significant preclinical success using EVs in reducing infarct size and restoring cardiac function in various in vivo models. There is now a clinical trial treating patients with an EV product following acute myocardial infarction (NCT04327635). While we wait for results from these trials to be released, the applications and modulation of EV therapies will continue to be developed for the next phase.
Combination Therapies
The therapeutic and clinical potential of EVs is further elevated through their biocompatibility and capacity to be surface modified and coupled with other remedial approaches. As discussed, protein or nucleic acid landscape can be modulated in parental cells to generate vaccines or bio-modified (biosimilar) therapeutics. These combination therapies can also utilize the protection, stability, and targeting capacity that EVs provide to mediate the delivery of drugs or gene vectors which are otherwise degraded or cleared. Trials in vivo have proven the efficacy and feasibility of EV-mediated adeno-associated virus (AAV) and siRNA delivery when uptake levels of the component alone are sub-optimal. Indeed, in Lhfpl5−/− hereditary deafness, EV-mediated delivery of AAV was more effective in rescuing hearing than AAV treatment alone. Additionally, EVs delivering siRNA-KRAS were able to successfully silence KRAS in murine tumor tissues, reducing tumor size; the same technology also enabled the delivery of plasmids to successfully replace/restore genes. Furthermore, the incorporation of drugs and molecular factors into EVs improves their bioavailability and delivery, increasing efficacy of treatment. EVs containing curcumin (a natural anti-inflammatory compound) significantly inhibited tumor size when compared with either component alone by increasing curcumin’s bioavailability. Indeed, the success of this treatment in vivo has led to an active clinical trial investigating the effect of curcumin-containing plant exosomes in the treatment of colon cancer (NCT01294072). While there are few clinical trials using EV-combination therapies (NCT04747574, NCT01294072, and NCT03384433), the pre-clinical success supports the translational potential of this approach.
Commercial Pursuit of Clinical Translation
Already the revolution of EV therapeutics is underway, with many emerging and established companies now focused on their development and application. Ventures in treatments for dermatological disorders and skin repair (Aegle Therapeutics, XOStem Inc., Exogenus Therapeutics), as well as cancer (Aethlon Medical, Unicyte AG, TAVEC Pharmaceuticals, Puretech Health, EV Therapeutics Inc., Anjarum Biosciences, Codiak Biosciences) and neurological disorders/diseases (Stemcell Medicine Ltd., Puretech Health, Evox Therapeutics, Codiak Biosciences) dominate the commercial EV-based therapeutic landscape. Codiak Biosciences have identified two EV-associated membrane proteins (internal/lumen or external orientated), which they use as scaffolds to link molecules of interest and engineer EVs for therapeutic application; this engineering platform (engExTM) has been utilized to develop exoSTING (EVs enriched in stimulator of interferon genes in the lumen), and exoIL12, currently in Phase 1/2 clinical trial (NCT04592484). Significant efforts in other areas include wound healing (RION Health), metabolic disorders (Evox Therapeutics), fibrotic and immunological conditions (Puretech Health), acute respiratory distress syndrome (Direct Biologics), kidney and liver disease (Unicyte AG), and inflammation (Direct Biologics, Cell-Factory BVBA, Puretech Health). Also in development are treatments for specific debilitating and/or life-threatening disorders (VivaZome Therapeutics), retinal disease (ReNeuron), genetic diseases (Anjarium Biosciences), diabetes (Unicyte AG), stroke (ReNeuron), lymphatic disorders (Puretech Health), and cystic fibrosis (OmniSpirant). With EV therapeutics being developed to combat a wide variety of diseases, understanding these membranous entities, their activities, and their engineering are all critical for achieving full therapeutic potential.
EVs as Nanocarriers of Functional Cargo
Native EVs are cell-derived, lipid-bound nanoparticles (30–1000 nm) that facilitate intercellular communication through targeted delivery of bioactive cargo to alter recipient cell phenotype [reviewed in,, and ]. EVs are involved in transferring molecular cargo, between animal cells, from parasite to its mammalian host, and from plant to fungal cells. In addition to their role in communication between cells and organs, EVs are excellent therapeutic delivery systems due to their: (i) ability to protect bioactive cargo, (ii) inherent biocompatibility, (iii) small size and negative surface charge, (iv) ability to cross biological membranes, including blood-brain barrier (BBB), and (v) capacity to target specific cells. The rigid structured membranes [resulting from an abundance of sphingomyelin and cholesterol] of EVs protect biological macromolecules from degradation [i.e., nucleases and proteases] and micro-environmental changes [i.e., pH and osmolarity]. Therefore, compared to soluble factors, EVs more efficiently deliver a complex variety of active biomolecules resulting in greater potency. As a result of their cellular origin, EVs are associated with low immunogenicity and are capable of interacting with innate immune cells through surface-expressed components [e.g., anti-phagocytic signals and opsonins]. EV-mediated crosstalk may occur unidirectionally or reciprocally or even via systemic communication, during which EVs target to various tissues and organs. Importantly, the EV surfaceome also facilitates inherent targeting properties/tropism and direct signal transduction. Further, EV surface composition is important for traversing biological barriers [e.g., BBB] through receptor-mediated transcytosis. The mechanisms by which EVs are internalized by target cells are still poorly understood, often uptake is cell and context dependent. Currently known cellular entry routes of EVs are complex mechanisms ranging through receptor-mediated endocytosis, lipid raft interactions, clathrin interactions, phagocytosis, micropinocytosis and possibly direct fusion. As such, uptake and intracellular mechanisms of trafficking and localization requires more in-depth evaluation exploring subcellular analyses using high-resolution microscopy, subcellular composition studies, or novel live-cell reporters. In this section, we discuss EVs as carriers of functional cargo and their therapeutically promising characteristics.
Cell Reprogramming Using EVs
Preclinical development of EVs have focused on their ability to horizontally transfer bioactive components, eliciting transcriptional and translational modulation, antigen presentation, and functional regulation in recipient cells. A landmark study demonstrated that embryonic stem cell derived EVs contribute to epigenetic reprogramming of target cells; EVs were enriched in key players for early pluripotency, hematopoietic stem cells (Scl, HoxB4 and GATA 2), and induced MAPK/Akt phosphorylation. Here, mRNA could be delivered by EVs to target hematopoietic stem/progenitor SKL cells and translated as Oct-4 protein expression. Of note, the biological effects of EVs were perturbed following heat inactivation or pretreatment with RNAse, indicating major involvement of the horizontal transfer of mRNA/proteins by EVs in the observed phenomena. Recently, adipocytes have been shown to release lipid-filled EVs that serve as the primary source of lipid for adipose-resident macrophages. Adipocyte-derived EVs have been described previously, primarily as regulators of inflammation and systemic insulin resistance. The uptake of adipocyte EVs facilitated the direct transfer of lipids, and a macrophage-type specific transcriptional activation of lipid metabolism in bone marrow cells., revealing a form of intercellular communication and nutrient exchange with important implications for obesity-associated pathologies. Thus, EVs exert functional effects on recipient cells by modifying their composition through protein, lipid or nucleic acid transfer. This mechanism of action has also been demonstrated in other diseases (i.e., sepsis, fibrosis, cardiomyopathy) where various induced disease models were used to highlight the protective and regenerative roles of EVs, as well as identify the key EV-associated bioactive molecules involved in such functions (Table 2), which provides a strategy to improve the efficacy of EV treatment. In an acute myocardial infarction (AMI) murine model, EV-mediated transfer of miR-21 protected cardiomyocytes from oxidative stress-induced apoptosis through the inhibition of pro-apoptotic PDCD4 and cell cycle-regulator PTEN. Treatment of miR-21 mimics in vitro and in vivo then significantly reduced apoptosis in cardiomyocytes following AMI, and dramatically attenuated infarct size in mouse hearts. As conduits of bioactive molecule transfer, EVs are also exploited as nanocarriers/delivery systems that provides a sustainable mode of miRNA delivery. Transfer of miRNAs from miR-let7c-overexpressing MSCs to renal cells via secreted EVs, suppressed the expression of fibrotic genes, thus reducing interstitial collagen production, attenuating renal fibrosis, and improving kidney structure.
Extracellular vesicles have also been shown to contain and transfer tyrosine kinase receptors (i.e., EGFRvIII) to increase downstream signaling events (MAPK, AKT) and expression of EGFRvIII-regulated genes (VEGF, Bcl-xL, p27) involved in tumor vascularization, survival and proliferation. EV-mediated delivery of functional receptors can also be physiological, as demonstrated by the transfer of glucose transporters (GLUT) 1 and 4 between cardiomyocytes and endothelial cells during metabolic stress to increase glucose uptake by endothelial cells and mediate plasma glucose concentration. In addition to their functional value, the presence of intact receptors in EVs can facilitate loading of bioactive ligands through their ligand-receptor interaction, increasing the efficacy of EV function on recipient cells. As a cerebral hypoxia/ischemia treatment, EV-bound transferrin receptor was exploited to load apotransferrin into EVs, which, when administered to animal demyelination models, conferred neuroprotection and reduced white matter damage, neuronal loss, and astrogliosis through apotransferrin-activated differentiation of oligodendroglial cells in the brain.
This protective effect of EVs have also been shown to rescue adverse side-effects following chemotherapy-induced damage. EVs derived from amniotic fluid stem cells enriched in pro-survival miR-146a and miR-10a were directly injected into murine ovaries, where they promoted the survival and elevated the apoptotic resistance of granulosa cells in mice undergoing chemotherapy; side effects can otherwise cause premature ovarian failure and aberrant fertility. This is attributed to the apoptosis- and inflammation-related downstream targets of EV-associated and transferred miR-146a and miR-10a, including IRAK1 and TRAF6, and BIM respectively. However, if these anti-apoptotic EVs are trafficked to off-target sites (i.e., tumors), they can significantly reduce the sensitivity of tumor cells to chemotherapy treatment, as demonstrated by EV-mediated transfer of miR-19b. Therefore, stringent regulation of EV-associated bioactive cargo and components of interest is critical in developing EVs for therapeutic application.
For further streamlining of functional/therapeutic effect, EV donor cell source is a critical factor for consideration, particularly in the field of regenerative medicine, where MSCs, with unique multipotent differentiation potential, are expansively explored in various pathologies and regenerative applications. Importantly, MSC-derived EVs have been shown to alleviate CNS-associated disorders/injuries, including subcortical stroke [i.e., through axonal sprouting, tract connectivity, remyelination and oligodendrogenesis], and, cerebral ischemic-reperfusion injury [i.e., by conferring neuroprotection through modulation of M1-M2 microglia toward an anti-inflammatory phenotype]. They are also an avenue for treatment of physical ailments, such as osteoarthritis [i.e., by attenuating inflammation and regulating extracellular matrix synthesis/degradation], skeletal muscle injury [i.e., through promotion of skeletal muscle cell proliferation, differentiation and migration], and ageing [i.e., by ameliorating dermal fibroblast senescence and promoting skin rejuvenation]. In models for cardiac injury, MSC-derived EVs have been shown to promote proliferation and differentiation of epicardial-derived cells and improve cardiac morphology. In fact, improvements for sustained administration of MSC-EVs have been made to enhance their effects at sites of cardiac, spinal cord, or hepatic injury, by loading them into biocompatible hydrogels which are then administered to target sites.
For therapeutic development, it must be noted that EV composition and release is influenced by environmental and signaling changes occurring in donor cells {i.e., hypoxia, stress [metabolic, heat, oxidative], infection and cell activation} as a mechanism of homeostatic maintenance [reviewed in ], thus, EV donor cell culture conditions may be modified accordingly to suit various clinical applications. For instance, MSCs under high oxygen level-induced oxidative stress release depolarized mitochondria to remove accumulated reactive oxygen species (ROS) generated as a result of oxidative phosphorylation. The EV-associated mitochondria are transferred to and metabolically reprogram recipient cells with potent regenerative effects, as observed in cardiomyopathy, and renal and pulmonary injury. Another key, yet not fully explored consideration in this study, is the synergistic function of EV cargo. For example, in a pulmonary silicosis-induced murine model, MSC-derived EVs transfer both mitochondria and anti-inflammatory and immunomodulatory miR-451 to macrophages; increasing their metabolic state while inhibiting their activation and protecting them from excessive inflammation caused by accumulated mitochondrial ROS. The synergistic function performed in this study by EV-associated mitochondria and anti-inflammatory miRNA is therefore a well-balanced one, highlighting a need for in-depth EV composition characterization during their development as therapeutics. Modifying protein cargo loading into EVs can be manipulated in donor cells directly and exploiting endogenous protein sorting mechanisms. Ubiquitin-like 3 (UBL3) was identified as the protein sorting target which can interact with and post-translationally modify cargo proteins (i.e., Ras and tubulin) to enhance their loading into EVs. Through donor cell transfection of mutated, oncogenic RasG12V, a binding partner of UBL3, this study demonstrated effective loading into released EVs and subsequent downstream signaling activation in target cells. Development of loading proteins into EVs from the cytosol in a free form has been shown via optically reversible protein-protein interactions; EXPLORs. This approach is based on the selective interaction of cargo protein and tetraspanin CD9, allowing cargo proteins to be freely localized in the recipient cells. On the other hand, loading of specific miRNA can be achieved by exploiting the short sequence motifs over-represented in miRNAs commonly enriched in EVs, and the sumoylation of their binding partner hnRNPA2B1, which is required to facilitate miRNA sorting into EVs. Other loading RNA-based methods using RNA binding proteins include EXOsomal transfer into cells (EXOtic) using the interaction between C/D box RNA structure and L7Ae ribosomal protein fused with tetraspanin CD63, and conjugated mRNA sequence with interaction between trans-activating response (TAR) sequence and trans-activator of transcription (Tat) protein (with membrane protein ARMMs), to load specific mRNAs into EVs. Further, this latter study demonstrated a highly versatile platform for packaging and intracellular delivery of therapeutic macromolecules, including protein, RNAs, and the genome-editing CRISPR-Cas9/guide RNA complex. While the molecular mechanisms of cargo sorting into EVs are still being understood, it may be useful to consider the above characteristics of target molecules and their compatibility with endogenous donor cell cargo sorting machinery to improve their loading efficiency and consistency for EV-based therapeutic development.
Targeted Delivery of EVs
Specific components present in the EV surfaceome (selections of proteins presented on the external side of the lipid bilayer), allow for preferential uptake by specific cells, tissues, and organs. Although this capacity for tropism is supported by various reports, our understanding of the complexities behind this intrinsic targeting in native EVs remains incomplete, though they are widely attributed to their biological origin. Like their progenitor cells, platelet-derived EVs have an intrinsic affinity with inflammatory sites and atherosclerotic plaques, binding to activated/inflamed vascular walls and plaques through various receptors including CD40L, glycoproteins Iba and aIIb, and P-selectin. Thus, platelet-derived EVs hold great potential to be exploited as nanocarriers of anti-inflammatory reagents to ameliorate inflammatory diseases including pneumonia and atherosclerosis. EV homing to specific organs also play roles in disease progression, such as those derived from pancreatic ductal adenocarcinoma cells (PDAC) (a cancer commonly associated with liver metastasis), which demonstrated natural homing to the liver upon in vivo administration, where they were selectively taken up by Kupffer cells. Though the molecular mechanism behind this liver tropism is unknown, the current hypothesis is that EVs express surface components to facilitate a specific interaction with target cells. Indeed, EVs derived from tumors with metastatic organ tropism (lung, liver, or brain) express different integrin complexes; lung-tropic: α6β4 and α6β1, liver-tropic: αvβ5, brain-tropic: ITGβ3. EVs containing these integrin complexes bind to S100-A4-positive fibroblasts and surfactant protein C-positive epithelial cells in the lungs, Kupffer cells in the liver, or CD31-positive endothelial cells in the brain, respectively. Lung-tropism is also influenced by non-integrin proteins, with genetic knockdown of SLCO2A1, CD13, and CLIC1 in cervical adenocarcinoma cells (HCA1) resulting in the decreased accumulation of EVs in lung tissue. EVs’ tropism to particular organs and cells may also be mediated by surface ligands that interact with cognate receptors on recipient cells to induce binding and subsequent uptake. This ligand-receptor interaction (i.e., EV chemokine receptor CXCR4 to recipient cell-expressed chemokine SDF-1α) mediated targeting of endothelial colony forming cell-derived EVs to the kidney, thus preventing kidney injury and neutrophil infiltration following ischemic injury through the transfer of PTEN-inhibitor miR-486-5p.
Other surface-expressed molecules that mediate EV-cell interaction include glycosphingolipid glycan groups, which are present on neuroblastoma-derived EVs, facilitating their binding to and clearance of β-amyloid aggregates in the brain. Their ability to target the brain highlights the potential of EV-based treatments for brain cancer and Alzheimer’s disease. Other mechanisms for brain-tropism also exist, such as the natural homing capacity of EVs derived from specialized immune cells in the central nervous system (CNS) (i.e., microglia) to the brain, where they reduced multiple sclerosis-associated inflammation in myeloid cells and astrocytes through the transfer of anti-inflammatory cytokine IL-4. These studies highlight the natural ability of EVs to transverse the BBB, an ability mediated in-part by surface components (i.e., heparan sulfate proteoglycans, mannose 6-phosphate receptor, CD46, integrin complexes αVβ6 and αVβ3, and endothelial- and leukocyte-associated transmembrane protein ICAM-1) which allow receptor-mediated transcytosis; a transcellular route allowing EVs to traverse brain endothelial capillary cells toward brain parenchyma. Further characterization of surface components which possess tropic-capacity will allow for refinement and selection of EV therapeutics.
Biodistribution and Clearance of Native EVs
As mediators of inter-organ communication, EVs must evade immune clearance for as long as possible to remain in circulation prior to cellular uptake. The mononuclear phagocyte system (MPS) [previously termed reticuloendothelial system (RES)] encompasses monocytes, macrophages, and other cells present in liver, spleen, and lungs, and contributes to EV sequestration and clearance. Indeed, following in vivo administration, EVs accumulate in the liver, spleen and/or lung; an occurrence widely observed in EVs derived from dendritic, MSCs, myoblasts, kidney, glial, melanoma, macrophages, and placental cells. With phagocytosis central to clearance, EVs avoid engulfment through surface presentation of anti-phagocytic signals including immunomodulatory receptors, most commonly CD47, PD-L1, CD24, CD31, and CD44, that act as “don’t eat me” signals to phagocytic cells, potentially prolonging their EV half-life in circulation.
Conversely, internalization of EVs ensures the delivery of EV content into target cells, allowing them to exert their effector functions. Phosphatidylserine (PS) is a lipid located on the outer leaflet of EV membranes, forming lipid-receptor interactions [e.g., with immune regulatory receptor TIM4] to facilitate EV engulfment and internalization by recipient cells. EVs also express opsonins [e.g., MFGE8, β2-glycoprotein-1, developmental endothelial locus-1] that facilitate their internalization through PS-dependent phagocytosis. Indeed, increasing the expression of MFGE8 on microglia-derived EVs elevated their uptake by macrophages and microglial cells in the CNS, facilitating the transfer of EV-loaded anti-inflammatory cytokine (i.e., IL-4) to significantly reduce clinical symptoms of neuro-inflammatory multiple sclerosis, and experimental autoimmune encephalomyelitis (EAE) in a murine model. Other factors that influence EV biodistribution and uptake in vivo is the microenvironment from which they are released. Tumor-derived EVs can bind to soluble secreted cytokines and chemokines (i.e., CCL2 and IL-6) in the tumor microenvironment through their surface-expressed glycosaminoglycan (GAG) side chains of proteoglycans, significantly increase their uptake in the liver, spleen, and lung. Through a similar mechanism, EVs expressing GAGs released by glioblastoma bind to, and are decorated with, chemokine ligand CCL18, facilitating their interaction with cognate receptor CCR8 on recipient glioblastoma cells to increase uptake and induce a proliferative phenotype. Indeed, pharmacological inhibition of this interaction (via CCR8 inhibitor, R243) completely blocked EV-induced tumor growth, thus neutralizing EV-induced phenotypic remodeling.
Despite these insights into EV biodistribution and clearance, attempts to comprehensively define the pharmacokinetics of EVs in vivo have remained inconsistent, with results ranging from their rapid clearance within 2–4 min (as monitored by fluorescence imaging) up to 7 days, with DiR-labeled EVs localized to the liver and spleen a week following administration. This variation may be resultant of EV labeling with lipophilic dyes, which have been found to remain in the system long after EVs have been degraded or recycled. Regardless of these uncertainties, EVs possess important qualities—highlighting them as promising modalities for therapeutic applications. Further development toward EV-based clinical application involves their engineering/modification to reduce their immune clearance and prolong their half-life in circulation, improve their biodistribution and tropism to sites of interest, and, enhance their functionality on recipient cells, tissues, and organs.
Engineered EVs
Native EVs offer unique advantages for cellular regulation and the efficient delivery of therapeutic payloads. However, several studies have highlighted the intrinsic limitations of native EVs including long-term maintenance of parental cell culture with minimal metabolic/phenotypic variation, bio-distribution (i.e., organ targeting), clearance rates [complement and immune systems (RES-MPS system)], and crucially, difficulties associated with large scale generation (i.e., processing times, variable potency between batches, good manufacturing practice; GMP). Moreover, the regulatory machinery of EVs and their distinct subtypes associated with production and cellular uptake remains largely unknown. Engineering therapeutics based on native EVs offers an alternative approach, employing their advantages while bypassing limitations. As such, the engineering of EVs for therapeutic application is a field undergoing rapid development with applications for regeneration/repair, immune disorders, wound healing and cancer. Here, we discuss several strategies recently developed to address such limitations through modification or engineering of EVs including: (i) generation of mimetic EVs/nanovesicles (M-NVs), EV synthetics (synEVs), and EV hybrids (hEVs), (ii) improvement of targeting of native EVs and (iii) customized cargo loading (into native and engineered EVs) to enhance their functional properties (Table 3).
Engineering Alternatives to EVs
M-NVs simulate the biophysical properties of native EVs, including size (50–200 nm), which has been reported to influence half-life in circulation (i.e., nanoparticles smaller than 200 nm are able to evade RES uptake, and nanoparticles larger than 30 nm to avoid rapid renal elimination). M-NVs can be generated by either top-down (extruding parental cells into nano-sized fragments) to obtain biological M-NVs, or bottom-up methods (selecting cargo and capsule materials i.e., liposomes or polymer nanoparticles) to obtain chemically-defined synEVs. Top-down M-NVs are generated by serial extrusion, ultracentrifugation, or pressure-based microfluidic approaches [reviewed in ]. Mechanical extrusion is achieved by forcing the cell suspension to pass through membranes of different pore size to cause cell disruption. After extrusion of parental cells, the membrane fragments form membrane-derived vesicles due to their physicochemical properties, engulfing the cellular components in suspension and generating mimetic EVs. Following this method, M-NVs generated from macrophages through serial extrusion with concurrent loading of catalase (added to the cell suspension before extrusion) demonstrated elevated neuroprotective activity while increasing the yield ∼100-fold, compared to native EVs.
MN-Vs can also be generated from MIN6 pancreatic β-cells by serial extrusion i.e., five passages through 10, 5 and 1 μm polycarbonate membrane filters using a mini extruder. In parallel, bone marrow MSCs isolated from femurs and tibias of BALB/c mice were embedded in Matrigel and implanted subcutaneously into NSG mice (NOD.Cg-PrkdcscidIl2rgtm1Wjl/SzJ). Into these subcutaneous patches, 10 μg/injection of MIN6 mimetics were administered for a total of four injections in 10 days. The authors demonstrated that the MSCs imbedded in Matrigel formed islet-like clusters with extensive capillary networks as a cause of M-NV administration, and that these were able to maintain the glucose levels of the mice for over 60 days. This work provided a key insight of the effectiveness of mimetics in vivo as delivery and signaling systems. To understand composition of M-NVs, Hill and collaborators performed proteomic profiling of M-NVs and demonstrated their distinct composition from exosomes and parental cells. Although M-NVs shared many similarities with native EVs (physical attributes, key protein EV markers, proteins that overrepresented the original cell), differences were observed in protein post-translational modifications, specifically phosphorylation, ubiquitination, and thiophosphorylation. This raises an important consideration of using M-NVs as an alternative nanocarrier when spontaneous endosomal sorting of therapeutics is limited or when modulation of donor cells influences native EV generation. An important consideration of M-NV generation is that despite the 100 to 150-fold increase in yield, this method still relies in parental cells as raw materials which requires the surveillance of their long-term maintenance (genome stability, passage number, cell culture technologies) and culture conditions/media type and potential influence of non-model EV source [i.e., bovine-derived].
A different stream of research to solve upscaling as a key limitation for native EVs’ and M-NVs’ pharmaceutical use, focuses on the generation of bottom-up particles denominated synEVs. synEVs have demonstrated a high efficacy and high scalability as drug and vaccine-based delivery systems. Generation of liposomes include extrusion over membrane filters [analogous to mimetic generation], and hydrophilic microchannels [microfluidic systems]. The development of synEVs has gained immense interest due to COVID-19 vaccine research, including mRNA encapsulated in liposomes by Moderna/NIAID, BioNTech/Pfizer, Arcturus/Duke-NUS, PLA/Walvax Biotech, Imperial College London, and CureVac AG. These synEVs (in particular Moderna/NIAID and Pfizer non-viral vaccines) have shown to be a highly efficient system for delivery and immunoregulatory response. Furthermore, the methods for generation and encapsulation of cargo (i.e., mRNA) into synEVs has demonstrated high efficiency and yield; >72% encapsulation rates. Although different approaches for generating synEVs with vaccine applications have been employed, in all cases their lipid composition provides key therapeutic advantages, including ability to encapsulate and condensate mRNA, promote delivery to cytosol by increasing cellular uptake (due to their composition compatible with biological membranes i.e., PEGylated lipids, cholesterol and cationic or ionizable lipids), protect mRNA (or any other cargo) from degradation in extracellular spaces, and their components are easily manufactured with GMP in a large scale. The latter demonstrates synEVs represent a unique advantage in combining with production of native EVs, despite issues with their targeted delivery. Unlike cell-derived EVs, synEVs lack targeting and recognition molecules, therefore, their synthesis has been coupled with different functionalization techniques such as bioconjugation [reviewed in,,,, and ] and cargo loading [reviewed in,,, and ] to obtain use-specific synEVs, as well as their fusion with EVs (native or mimetics) to generate EV hybrids (hEVs).
hEVs are a recently developed method to generate vesicles—they comprise native EV components and synthetic liposomes. Hybrids could be a more effective alternate to both EVs and liposomes as drug delivery systems by combining the advantages of loading versatility (diverse molecular cargo), targeting capabilities (native EV tropism), and stability (structure stabilization, cargo protection, handling stability) [reviewed in ]. Moreover, hEVs can be generated by different methods such as extrusion, sonication, co-incubation or freeze/thaw cycles, which makes them convenient for clinical development and diverse applications. Freeze/thaw cycle method was used in combination to surface modification techniques to fuse EVs expressing a specific surface protein produced by macrophages and different cancer cell lines (mouse fibroblast sarcoma-derived CMS7-wt, CMS7-HE, and Raw 264.7 macrophages) with liposomes. Hybrids have also been generated by sonication of an aqueous suspension of macrophage-derived EVs and L-α-phosphatidylcholine/Cholesterol liposomes. The resulting hybrids are a promising platform for tumor-targeted drug delivery, releasing Doxorubicin predominantly to macrophages, osteosarcoma cells and breast cancer cells (compared to normal fibroblasts) in vitro, demonstrating these hEVs have preferential targeting to parental cells and tumor cells. Furthermore, a variant of hEVs using native EV sources [bone marrow MSC-derived EVs (purified from conditioned media) and platelet mimetics (generated by a combination of freeze/thaw and consecutive sonication)], were generated by co-extrusion and administered to mice (100 μg/mice, once a week for 4 weeks), demonstrated increased targeting and pro-angiogenic activity in a mouse model of myocardial infarction in mice. Here, tropism of platelets toward activated endothelium (which occurs during injury or stress) was inherited by the resulting hybrids enhancing their targeting and accumulation capabilities to the myocardium (compared to native MSC-derived EVs) allowing the targeted delivery of reparative cargo despite systemic administration.
Improved Targeting: Genome Engineering and Surface Functionalization
Modifying EVs to improve their specific delivery is a key requirement in therapeutic applications. Several engineering approaches have been developed and applied to EVs. Click chemistry, genetic modification, and glycoengineering have proven to be highly efficient methods to increase site-specific retention, thus reducing off target effects. EV composition and function are influenced by the cell source, a characteristic which can be exploited during EV-based therapeutic development. Many technologies can modify progenitor cells to alter the functional capacity of their derived EVs; one of which is genome engineering, which involves either the knockout [i.e., siRNA, CRISPR] or overexpression [i.e., Lentiviral/Adenoviral, plasmid, or nucleic acids (siRNA, miRNA, anti-miR) transfections] of genes. The composition of EVs released from these modified cells are therefore customized, heavily influencing recipient cell function [i.e., immunomodulatory, pro-angiogenic, anti-apoptotic or anti-cancer]. Thus, these strategies are applicable to a range of pathologies, including cardiovascular disease, tissue repair/regeneration, cancer, and immunological disorders. However, continuous improvements are required for these techniques due to their low mutation efficiency and potential off-target sequence error (CRISPR-Cas9) or low efficiency and variable expression levels by transfected cells (transfection) (which may influence the biogenesis/yield/content/function of the produced EVs or parental cell viability or proliferation.
In this context, genetic manipulation strategies [e.g., plasmid transfection, pDisplay vector transfection, retroviral transfection] pre-EV isolation have been shown to modify the surface of EVs to enable site-specific delivery (Table 3). For instance, overexpression of folate receptor α (FRα) on EV surface facilitated their specific binding to the brain parenchyma, crossing the BBB, demonstrating a mechanism of brain-specific drug delivery in vivo after an intraventricular injection. Furthermore, genome engineering of cardiosphere-derived cells (CDC) using lentiviral particles to express LAMP2B fused to a cardiomyocyte specific peptide (CMP; WLSEAGPVVTVRALRGTGSW) generated EVs displaying LAMP2B-CMP on their surface, increasing retention time and improving targeted delivery to the heart. Moreover, modification of mouse dendritic cells to express LAMP2B fused to the neuron specific RVG peptide was shown to target EVs with siRNA-BACE1 to neuronal cells. The therapeutic potential of this system was demonstrated by mRNA (60%) and protein (62%) knockdown of BACE1, a therapeutic target in Alzheimer’s disease. This strategy was also employed to modify BMSCs for the generation of EVs expressing LAMP2B coupled with ischemic myocardium-targeting peptide (IMTP; CSTSMLKAC), which caused a significant increase of EV accumulation in cardiac tissue when compared to peptide sequence (non-targeted) controls. Altogether, these studies highlight the capacity of genome engineering to generate surface modifications that enhance EV targeting capabilities. On the other hand, off-target errors during genome editing complicate validation and are time consuming/expensive, thus would impede upscaling. It was also observed that despite their targeting capabilities, engineered EVs accumulate in non-targeted tissue/organs, including liver and kidney; determination of the EVs’ effects at these sites and an improved understanding of EV-site interaction are required for clinical applications. Engineering methods can also be combined to refine EV-based therapeutics. Decoy mimetic EVs have been generated through mechanical extrusion of genetically engineered parental-cells overexpressing surface receptor ACE2. These mimetic EVs were fused with human myeloid mononuclear THP-1 mimetics, to generate hEVs. Upon administration to a murine model of acute pneumonia, these hEVs suppressed immune disorder and decreased lung injury.
A different approach for surface engineering is modification post-EV isolation. These modifications can be performed through glycoengineering [attachment of glycans to proteins by generation of covalent bonds] and click chemistry [reactions which involve conjugation of molecules in a modular fashion, for example, the bio-orthogonal copper-free azide alkyne cyclo-addition], and are used for targeting and cloaking strategies, also known as “surface functionalization”. For example, glycoengineering of anti-EGFR nanobody to the phosphatidylserine (PS) of EVs derived from blood, or Neuro2A cells, promotes their uptake by EGFR+ cells in a dose-dependent manner and decreases their non-specific binding to other cells. Further, this modification resulted in an increased circulation time of >60 min for engineered EVs in comparison to 10 min for native EVs. Together, these results provide an effective strategy for cloaking and targeting using glycoengineering.
A combination of glycoengineering and click chemistry has been employed as a highly- efficient and specific approach to modify the EV surface through irreversible bioconjugation. This allows EV surface functionalization for delivery of small molecules, large biomacromolecules, and polymers without altering particle size or function. Murine MSC-derived EVs were modified by copper-free click chemistry to generate an Ale-EVs system (EVs coupled with Alendronate, a medication used for osteoporosis) administered to an in vivo model of ovariectomy (OVX)-induced osteoporosis. These Ale-EVs had an affinity to bone tissue and promoted regeneration under osteoporotic conditions with low toxicity. Similar methods, including genetic modification of parental cells and/or post-EV isolation methods can also be used to enrich surface-ligands on EVs, which can then induce/inhibit signaling or target specific recipient cells for delivery. As a direct approach to modify the surface of MSC-derived EVs by click chemistry conjugation, c(RGDyK) peptide which exhibits affinity to integrin αvβ3 and expressed in reactive cerebral vascular endothelial cells after ischemia, was used for improved delivery (11-fold tropism to the lesion region of ischemic brain) and treatment of stroke. Additionally, surface modifications using click chemistry can be used to chemoenzymatically label EVs to visualize cellular uptake in real time. EVs isolated from conditioned media of human breast cancer MCF-7 cells were purified and an alkyne group (click chemistry target) substituted for the choline group from native EV phosphatidylcholine by an enzymatic reaction using phospholipase D. Using the alkyne-azide click chemistry, fluorescent Cy5 dye was covalently fused and used to track cellular internalization in real time using fluorescent confocal microscopy in vitro. Furthermore, the surface modification did not alter EV size (compared with native EVs by nanoparticle tracking analysis). This study provides an efficient method for tracking EVs that could be applied to monitor biodistribution, targeting and uptake of engineered EVs.
Cargo Loading Strategies
In addition to cargo loading via surface conjugation, other strategies used to load cargo into EVs include parental cell modification, passive diffusion, and active loading. Overexpression of components in parental cells is an effective way to increase abundance in resulting EVs for greater function. Transfection of MSCs with miR-133b resulted in accumulation (∼2.5-fold higher levels) of miR-133b in EVs (when compared to EVs from non-transfected MSCs), which subsequently improved functional recovery, reduced lesion volume, and increased neuron survival in an in vivo model of spinal cord injury. Several other studies have modified either parental cells (pre-EV isolation) or EVs directly (post-EV isolation) for improved therapeutic response [reviewed in,,, and ] such as in cancer, neurodegeneration and Parkinson’s disease, and kidney fibrosis.
An alternative to modifying parental cells is the direct incorporation of specific molecules (i.e., miRNA, siRNA, protein, lipids, drugs) into EVs through passive or active methods. Incubation of EVs with active components is a passive method of loading that involves the diffusion of drugs or molecules with varied encapsulation efficiency through the EV membrane. This approach has facilitated loading of siRNAs, miRNAs, proteins (i.e., catalase; an antioxidative enzyme, Parkinson’s disease treatment), and anti-cancer drugs [i.e., Paclitaxel, Doxorubicin, Imatinib] into EVs for delivery. The loading efficiency is dependent on incubation time, cargo concentration and physicochemical properties of the cargo (i.e., solubility, surface area polarity, lipophilicity, hydrophobicity). To address this variability, active loading methods have been implemented (co-incubation with membrane permeabilizers, i.e., saponin) to improve loading efficiency of specific molecules by up to 11-fold. This involves temporary and controlled disruption of EV membrane, usually accomplished by sonication, electroporation, membrane permeabilizers, freeze-thaw cycles, or cell extrusion (Table 3) to allow entry of cargo into EVs.
Sonication of EVs (using sonic waves) for therapeutic cargo loading is a widely used method for various clinical applications. Using this technique, macrophage-derived EVs were successfully loaded with Doxorubicin and Paclitaxel, allowing resulting vesicles to target cancer cells and inhibit tumor growth. These modified EVs are an attractive therapy for pulmonary metastases and triple negative breast cancer in murine models. Importantly, these studies observed that pH, temperature, and sonication configuration (time, power, probe, or water bath) affected loading efficiency, and required optimization (dependent on the cargo properties). Using an electrical pulse to temporarily disrupt the EV membrane, electroporation is a widely used method for loading small molecule drugs and nucleic acids into EVs to treat Alzheimer’s disease, and breast, lung, and ovarian cancers. The loading efficiency of nucleic acids (i.e., siRNA) through electroporation ranges between 15 and 20%, demonstrating a robust method for cargo loading.
As an alternative to physical membrane disruption, incubation of EVs with chemical membrane permeabilizers also allows efficient loading of therapeutic cargo into EVs. Incubation of EVs with the detergent-like molecule saponin has been used to incorporate antioxidant catalase and the enzyme tripeptidyl peptidase-1 (TPP1) into bone marrow macrophage-derived EVs (up to 6.3 μg/1011 particles for catalase, or 50 μg/1011 particles for TPP1 were incorporated). The loaded EVs significantly inhibit neurodegeneration and neuroinflammation in mouse models of Parkinson’s disease and Batten disease. Other techniques used for EV cargo loading include multiple freeze-thaw cycles, and serial extrusion of cell suspension through decreasing pore sizes in a buffer containing cargo of interest. Studies comparing these processes highlight serial extrusion as the most efficient method for cargo loading, resulting in stable EVs with elevated functional effects. In the context of EV-based therapeutics, all cargo loading methods have intrinsic advantages and disadvantages that must be considered (Table 3). The methods applied should be modified according to the clinical/disease/model context (i.e., model and tissues of interest, biological/clinical question). Altogether, these advances in EV engineering provide highly customizable and combinatorial techniques to overcome current limitations of native EV as therapeutics, thus improving delivery, efficacy, and function. These advancements have allowed rapid development of EV-based therapeutics for transition to preclinical and clinical development.
Challenges to Further Development of EV Therapies
With increasing attention on EV-based therapeutics, the need for further refinement and standardization of design, production, and clinical administration approaches is critical. Specifically, there remain several fundamental challenges the field must come to terms with; low yield of production, scalable and standardized EV generation, standardized dose and potency monitoring, determination and quantification of molecular bioactivity for regulatory purposes, and unsatisfactory targeting capacity. Fortunately, international efforts to address aspects of these are ongoing. In this section, we outline the challenges faced in EV therapeutic development, with an emphasis on the updated research and technologies offering avenues for preclinical and clinical advancement (Figure 1).
Scalability and Standardization of EV Production
Clinical translation of EVs demands the development of standard, scalable, and cost-effective approaches for their production. For EV-based therapeutics, manufacturing requires high capacity and scalability without influencing the composition or potency of EVs. A lack of clinical grade purification protocols suitable for large-scale production, and an incomplete understanding and standardization of variables influencing EV production represent main challenges in this area. Selection of an appropriate donor cell for native EVs and monitoring variables such as growth state (epithelial, mesenchymal, or adherent/anchorage-dependent) can assist with this. Owing to significant functional advantages in regenerative medicine including wound healing and tissue repair, and therapeutic advantages in anti-inflammatory and low immunogenicity properties, amniotic and adipose cell-derived EVs are considered as a suitable candidates for therapeutic EV research and translation. Aspects of culture influencing cell state include type of cell culture system [conventional and bioreactor systems] and media/supplements used (product and batch variance). Moreover, modifications in culture parameters resultant of scaled-up systems, pH, mass transfer, and hydrodynamic (or shear) force, can result in modified cell state and growth, viability, expression, and activity of cell receptor/signaling, potentially impacting the composition and therapeutic efficacy of derived EVs. Further strategies exist to stimulate EV production and enhance yield have been reported, including N-methyldopamine and norepinephrine. However, the extent to which these factors impact EV composition, efficacy or other factors associated with their therapeutic use remains predominantly unknown [reviewed in ]. Therefore, as the therapeutic effects of EVs can be modulated by these variables, there is an emphasis on parental cell characteristics that should be carefully considered to exploit their clinical application (for example, therapeutic potency, immunogenicity, targeting selectivity), including their capacity to be manipulated (i.e., genetic engineering, transfection efficiency, genetic stability) or parental cell immortalization. For primary and immortalized cells, a thorough, risk-based analysis must be conducted, for the cells and their derived EVs, in addition to modified cells [reviewed in ]. In the context of EVs for therapeutic use, parental cell immortalization has been shown to enable sustainable production of EVs without influencing their therapeutic efficacy or immunosuppressive activity, however, safety concerns have been raised for the procedures and requirements to monitor oncogenicity and genetic drift [reviewed in and ]. Recently, the production of therapeutic EVs has been amplified by enhancing the biological functions of MSC-aggregates (spheroids) and their large-scale EV production. This study further highlighted key requirements in quality control (QC) monitoring cell source throughout changes in production and maintenance, monitoring morphological, size, and structural characteristics of derived EVs, their cytokine and miRNA expression and in vitro function, demonstrating they retained their stemness and marker gene expression during dynamic culture. A safety concern with stem cells is the use of animal-derived serum for cell growth; the presence of such cross-species factors may cause issues from a regulatory standpoint in the production of therapeutics. Alternatively, using xeno-free culture media components or EV-depleted serum should be considered and influence on the compositions or physiological properties of derived EVs should be monitored. Accumulating evidence indicates that other naturally-derived EV source, including plant-based (NCT01668849, NCT01294072) and bovine-milk-derived EVs may be sustainable alternatives for large-scale utility of engineered EVs. Bacterial EVs from non-pathogenic or probiotic bacterial source may also be harnessed as potential EV-based delivery carriers for anti-inflammatory function, with further advantages in their versatility in being readily functionalized and their scalable production.
For EV-based therapeutics to be considered a viable option for clinical applications, large-scale commercial production is required. For small-scale manufacturing, cells can be expanded in multilayered flasks, spinners, wave bags or fixed-bed or hollow-fiber bioreactors depending on their growth characteristics, while for large-scale culture, cells can be grown in large-capacity enclosed (stirred-tank) bioreactors or platform-rocker wave bags. Presently, large-scale production of functional homogeneous stem cell-derived EVs for therapeutic utility has been developed using filtration (0.2 μm) and conventional ultracentrifugation, and size-based chromatography fractionation. While large-scale production of GMP-grade EVs for clinical trialing employs a combined approach of ultrafiltration coupled with sucrose/deuterium oxide (with ultracentrifugation cushion). Further, GMP-grade EVs from human cardiac progenitor cells for therapeutic application have been isolated from 8 L of bioreactor-derived culture medium using tangential flow filtration (TFF) (without ultracentrifugation) in an integrated closed circuit which encompasses the full downstream process (clarification, concentration, diafiltration, and final sterilizing filtration). This approach provides a high product yield (≥58%, 3 × 1013 particles), formulated in a clinical grade solution (Plasma-Lyte A) with concomitant consistent reduction of contaminants (total protein removal 97–98%). Importantly, this study employed a characterization QC strategy, including monitoring with suitable sensitivity, precision, and accuracy, according to regulatory guidelines. Commercially, companies including Codiak Biosciences employ TFF perfusion or alternating TFF perfusion to increase cell viability and isolate MSC-derived EVs using sequential filtration (0.8/0.45 μm), while others such as Evox Therapeutics Inc., use a combination of ultrafiltration and size-exclusion liquid chromatography. Larger-scale versions of other methods to isolate and enrich EVs (and subtypes within) may be possible with continuous-flow ultracentrifuges, size exclusion/ligand-activated core-bead technologies using distinct multimodal chemistry, microfluidics, field-flow fractionation, precipitation, continuous chromatography, and other industrial equipment, but feasibility of their use for EVs is limited.
Profiling EV composition is a key strategy in understanding the influence had by modification and production variables. Technologies central to these efforts include mass spectrometry and nucleic acid sequencing. Indeed, proteomics can provide validation of modified (fusion) protein transfection in donor cells and act as a QC metric to evaluate the expression of donor cell and EV proteome and different EV/non-EV markers. Furthermore, proteomics can be employed with other biophysical/biochemical approaches to define and monitor the impact of culture media formulation from a single cell source on EV composition and surface protein epitope expression. Additionally, non-targeted metabolite profiling can assess how the metabolomic composition of EVs is influenced by conventional cell culture and bioreactor cell growth conditions. Proteomics and RNA sequencing has also been employed to indicate that cellular architecture (i.e., 2D vs. 3D) modifies transcriptomic and proteomic cargo of EVs (potentially altering overall function), the latter of which may affect efficiency of association and consequently uptake by recipient cells. With significant therapeutic implications, the influence of engineered microtissues and immunoisolation devices on EV composition has recently been reported, where microtissue stem cells cultured in a TheraCyte device 3D environment increased EV yield while additional markers (not detectable in EVs secreted by cells cultured in standard 2D conditions) were identified using proteomic profiling. Such findings reveal that cell growth conditions and media formulations influence the yield, surface epitopes (including tetraspanins), and broad (proteome/transcriptome/metabolome) composition of derived EVs. Thus, these are critical considerations in the scalable manufacture of clinical-grade EV therapeutics, as such variables may have profound impact on their utility. For instance, modifying the abundance of transmembrane proteins such as MHC complexes on their surface may affect their low immunogenicity, a characteristic important for the utility of EVs as therapeutics.
As complex entities, EV therapeutics will require a suite of QC measures for successful clinical translation. A combination of discovery and pre-selected/targeted “omic” analyses will enhance our understanding of bioactive EV composition, cargo selection/loading; such knowledge could be translated to monitor generation, modification, and manufacture of EV-based therapeutic products with high throughput, sensitivity, and specificity. Indeed, in-depth monitoring is essential as EV preparations for preclinical application; often most studies use a combination of EVs (subtypes) in addition to various cell-derived and extracellular elements (i.e., secretomes) [reviewed in and ]. For the successful translation of EVs to the clinic, the identification of critical quality attributes (e.g., size, purity, molecular composition) that impact the potency and stability of the product is essential (Figure 1). Considering the difficulties in standardized isolation and characterization of EVs, another strategy would be to prioritize therapeutic efficacy over purity. Recently, engineered recombinant EVs and reference particles have been suggested as reference materials to monitor technical variability of EV generation and their applications and promote intra- and inter-laboratory studies. This could be applied to manufacturing and scalability in generating and monitoring EVs.
Increased and sustainable EV production is essential for the successful application and development of EV-based therapeutics. Recently, cellular nanoporation has been shown to increase production of exosomes as a universal nucleic-acid carrier for applications requiring transcriptional manipulation [up to 50-fold greater exosome yield and >103-fold increase in exosomal mRNA transcripts]. Further, M-NVs generated by microfluidic and extrusion techniques have a high and consistent production yield, in comparison to native EVs, overcoming their incumbent production and isolation challenges and represent a promising alternative to native EVs for scalable and clinical application. Considerations of such approaches in terms of physical parameters may present new difficulties in establishing a standardized protocol for their generation, efficiency of molecular incorporation, modification, and storage. Further, M-NVs are comprised of diverse, undefined molecules derived from donor cells, which may cause potential safety concerns, similar to native EVs. As such, a careful screening of producer cells is essential—focused on the consistency of long-term cell growth, and specific therapeutic potency and bioactive effect. In addition, the ability of M-NVs post-generation to encapsulate drugs (i.e., hydrophilic, negatively charged macromolecular drugs) remains inefficient (generally < 30% incorporation), highlighting the need to further refine composition to enhance encapsulation efficiency.
Key criteria in the development of EV-based therapeutics is the stability, preservation and storage of EV therapies. Recently, the effects of storage conditions on EVs for functional analysis and therapeutic use was investigated, evaluating temporal EV stability/quantity across various storage temperatures and freeze-thawing cycles. Importantly, storage alters EV size distribution and impacts cellular uptake and biodistribution, with −20°C (short-term) and −80°C (long-term) storage recommended. Further, for GMP-compliant EVs, several studies have reported native EV storage at −80°C in single-dose aliquots (preliminary stability studies indicate no loss of functional activity in up to 7 months) and modified EVs storage at –80°C for up to 5 months with no change in potency or activity.
Overall, challenges of industrial scale-up and specific variables that will impact transition to clinical development must be addressed and monitored in early development. The clinical and commercial demands of EV-based therapeutic production such as high, consistent yield, reproducible composition/purity, and efficiency can eventually be met with modifications to existing technologies for improved scalability.
Analytical Assessment of EVs: Potency and Molecular Insights for Regulatory Purpose
In delivering EV-based therapeutics dosing remains a significant challenge, with dose selection, assessment, and administration (route, frequency, time window) all factors in achieving therapeutic benefit without adverse effects. Development of appropriate potency assay that employ relevant functional end points, and demarcate in vitro potency (dependent on EV property and cell type) and in vivo efficacy is required. Such potency assays need to be standardized and context-/disease-/model-dependent, which are unfortunately currently limited in their acceptance and utilitization.
Analytical assessment and monitoring, and rigorous in vitro and in vivo testing for safety and efficacy must precede approval of EV-based therapeutics [as comprehensively discussed]. Several seminal clinical-grade EV studies have reported specific potency assessments including in vitro anti-/pro-activity, sterility, in vivo pro- activity, and toxicity or immunogenicity assays. Analytical assessments include: (i) molecular fingerprinting (identify bioactive/target molecule/s), monitoring of multiple components and influence of preparation/isolation method on donor and cell-derived product), (ii) potency assays (monitoring therapeutic effect in vitro/in vivo), and (iii) mechanistic assays (identify mode of action). Such analytical assessments may provide quality control in the transition from research-grade to clinical (GMP)-grade EVs [reviewed in and ].
At present there are no standardized methods in quantifying EV concentration and dosage. Moreover, comparative studies of EV monitoring techniques has shown that protein concentration is not relative to particle number; consequently such criteria is insufficient to determine dosing. Quantitative EV analytical methods include reporting cell equivalents, protein concentration, and quantitative analytical measurement [dynamic light scattering (DLS), single-particle interferometric reflectance imaging sensing, tuneable resistive pulse sensing (RPS), nanoflow cytometry and nanoparticle tracking analysis (NTA)]. Significant concerns have recently been presented around existing single-particle analysis capabilities (e.g., sizing, counting, tetraspanin phenotyping). Moreover, single-particle technologies will be required to separate heterogeneous EV populations into well-defined and easily recognized subgroups. Therefore, consideration of limitations in some analytical platforms is a key requirement [e.g., resolution and accuracy of the quantitative analysis of EVs using single-particle analysis capabilities]. In order to fully characterize a therapeutic nanoparticle preparation, it is imperative to consider particle size, particle size distribution, charge, number of particles or concentration, and the molecular composition. Absolute values measured for particle or protein concentration thus need to be critically evaluated and compared to control condition, using calibration/standardized measurements at specific dose as required. Current methods have shown to be efficient in quantifying the biophysical parameters [light-scattering methods (multiangle light scattering, DLS, NTA, particle interferometric reflectance imaging sensing), RPS, transmission- and cryogenic-electron microscopy, and small angle neutron scattering], hence providing the tools to validate and standardize nanoparticle therapeutics. It should be noted, these technologies are not able to determine the particle type or chemical/molecular makeup of a sample, making it difficult to determine whether the sample contains EVs, protein aggregates, or other non-membranous particles. This limitation requires optimization of sample purity prior to size measurement.
Expectantly, EV heterogeneity confounds aspects of therapeutic application, with subtypes varying in composition and function. One of the challenges of EV biology is identification of specific EV-subtype markers. If aiming to purify EVs for stringent biochemical analysis (e.g., define cargo for regulatory purposes, quality control, therapeutic design) and specific functionality (e.g., identification of bioactive cargo, therapeutic screening), then rigorous purification and fractionation strategies are critical [reviewed in; ]. Current research indicates that further subdivisions of EVs are needed to accurately differentiate subtypes (e.g., biogenesis, size, charge, molecular cargo), which may in turn offer unique therapeutic avenues. A key advantage here is the considerations of quality assessment and quantification of EV preparations based on recommendations of MISEV2018 and EVTRACK. These considerations will be essential for generation of clinical-grade EVs or standardized engineered EVs (Figure 1).
To establish consistency in the therapeutic assessment of clinically translated EVs, effective dosing harmonization is a key requirement. It is recommended to consider the type of payload, whether it is a drug (Doxorubicin, Aspirin, Gemcitabine), an enzyme/protein (caspase, TTP1) or other biological component (nucleic acids, lipids). It is known these groups possess different pharmacokinetics and thus different units have been assigned to describe their activity or effect i.e., drug dosing is expressed in terms of mass of active substance (μg, mg, g) per pharmaceutical presentation unit (capsule, ampule, particles, grams); enzymes and protein dosing is expressed in terms of enzymatic catalytic activity or IU (1 IU = 1 μmol/min = 1/60 μmol/s ≈16.67 nmol/s); lastly, biological payload such as nucleic acids and lipids could potentially be expressed in units of mass or activity depending on their function. Another consideration is the function and effect of the native/engineered EVs itself, aside from specified cargo. As vesicles interact with the host, proper controls should be established to determine their protective [i.e., RNAse-mediated degradation effect] and measured effect without the cargo of interest. Studies have shown that dosing variations of purified EV (from 30 to 300 μg of protein) did not present any adverse consequences and still exerted their desired effect in a myocardial infarction model in vivo. This suggests the key for dosing is not the particle itself but the cargo, especially if incorporated post-isolation.
As EVs are biological entities, their complex and variable nature challenges the highly regulated requirements for pharmaceutical production. A solution to this is functional assessment of each batch [cell source consistency and EV production for specific patient-derived cell source based on EV yield, positive/negative EV markers, reviewed in ]; identification and quantification of key markers indicating functional competency could aid this process [i.e., tissue-based immunoregulation]. Mapping specifically regulated proteins using microfluidic approaches or quantitative proteomics onto known protein networks has highlighted mechanism of action and is being applied to EV research (manufacture, composition, and function). Proteomic approaches allow researchers to understand protein signatures of native and engineered EVs, which may have implications in quality control platforms to confirm the identity and test for purity of therapeutic EVs. Proteomics has been used to assess plasma EVs after separation from lipoproteins (i.e., lipoprotein particle depletion), tissue-derived stress/damage markers following cardiac-EV isolation, and oncogenic mutations on EV proteome landscape. Several key omic-based studies have provided direct insight into the composition and (re)classification of EVs, their biogenesis and content. Moreover, an aptamer-based proteomic analysis (SOMAscan) has enabled multiplexed, highly-sensitive, and specific protein detection in human blood and other biomatrices, and applied to profile EVs. Other high-throughput MS approaches, such as multiple/parallel reaction monitoring MS (MRM/PRM-MS) enable rapid and accurate identification and quantification of protein biomarkers in broad dynamic range. Indeed, MRM-MS has been used for identification of Mycobacterium tuberculosis peptides in patient derived exosomes, highlighting the sensitivity and specificity of this approach in EVs. Additionally, RNA profiling has been used to confirm the absence of inhibitory miRNAs.
The application of multi-omic technologies, such as transcriptomics and proteomics are emerging as crucial for understanding how EVs perform therapeutic functions. In the wider drug development field, omics technologies are already in use to better understand mechanisms of action and identify off-target effects. Additionally, comprehensive profiling of patient and population proteomes/transcriptomes contribute to in silico predictions of drug efficacy [reviewed in ]. Integration of cellular technologies [microphysiological systems or “tissue chips”] aimed to closely mimic in vivo conditions to assess the potency of experimental biological products and understanding of tissue-specific effect will be important future developments in clinical translation. The development of new technologies, such as machine learning and control algorithms, to interface with microphysiological systems may further advance their use in systems biology and precision medicine. For clinical translation, the FDA does not require any understanding of the mechanism by which a drug acts, moving directly to clinical trials without this knowledge may be a clear path. However, often limitations in understanding how the drug or biological regulator works may contribute to unfortunate outcomes, off-target/side effects, or poor/ineffective dosing; understanding mechanism of action may help to stratify/focus clinical trials to those patients most likely to respond. Significant changes in the FDA (Critical Path Initiative) now support development of patient screens to improve the chances for drug approval, and integration of pharmacogenomic data (proteomics, metabolomics, genome-wide association study data) in developing and evaluating medicines. In the context of EV-based therapeutics, identification of active components as a constituent of the total EV will enable optimization and improvements in dosing and effect.
Tissue Targeting and Delivery of Therapeutic EVs
Specific, targeted delivery presents a major challenge for EV-based therapeutics. Sophisticated solutions are required to minimize off-target accumulation and maximize efficacy through the targeted transport and delivery of cargo. Indeed, a major obstacle preventing widespread usage of other types of regulatory therapeutics (i.e., nucleic acid polymers/oligonucleotides) is efficient delivery to target organs and tissues, minimizing off-target accumulation [reviewed in ]. In nanoparticle-based therapeutics, the pharmacokinetics, biodistribution and targeting are all influenced by design and biological factors of the nanoparticle constructs [reviewed in and ]. Additionally, different cell types and phenotypes internalize and traffic nano-carriers differently [reviewed in and ]. This is especially relevant for EV therapeutics, as the heterogeneity of EVs can contribute to differential recognition and binding specificity and target cell uptake [reviewed in ]. Characterization of such mechanisms will be essential in the field’s pursuit of accurate, potent, on-target delivery and uptake of EV therapeutics.
Drug targeted delivery can be passive, where circulating nanoparticles [e.g., coated with platelet or red blood cell membranes], extravasate through leaky vasculature and accumulate in surrounding tissue via the enhanced permeability and retention (EPR) effect. Alternatively, targeting can be active, relying on membrane moieties to bind protein/peptide receptors/sequences on target cells or tissues. The relatively large surface area to volume ratio of EVs enables highly efficient surface interactions, highlighting the latter form of targeting as a promising avenue for development. Recently, the inflammation-targeting ability of platelet-derived EVs (PEVs) was verified, with drug-incorporated PEVs able to target inflamed lungs in vivo to precisely deliver and modify the immune response at the site of inflammation, revolutionizing the way inflammatory diseases can be treated. While effective, the molecular interactions (perhaps surface-based) behind this functional delivery are not yet understood. However, there are known protein signatures on EV surfaces which direct uptake in specific organs; unfortunately, very few targeting moieties have been identified and characterized on EVs. Defining additional signatures is essential for the refinement of targeted EV therapeutics, and will require analysis of their surfaceome and biodistribution, as well as the molecular signatures of proteins/peptides exposed in the targeted tissue/cell pathology [reviewed in and ].
The surface proteome of EV subtypes (exosomes) has been defined using various proteolytic and biotinylation approaches with their topology determined using similar methods. This has provided insights into components exposed and available for cell-interaction. Recently, proteins with exposed regions on the EV surface, CD63 and LAMP2B, have been the base for topologically distinct scaffolds for fusion proteins containing targeting sequences, enabling the flexible engineering of EV surface for applications in disease-targeted drug delivery and therapy. Use of these fusion protein scaffolds of attachment of components with known binding partners enriched at target sites has successfully assisted in increased targeted uptake, but has not abolished non-specific uptake. Development of new scaffolds is dependent on the display of a N- or C-terminal on the outer surface of EVs, with topology of the surface proteins essential. However, the surface signature of EVs is highly heterogeneous, which presents a challenge in designing targeting scaffolds present on all EVs, rather than a subtype, and could reflect different baseline functionalities. Furthermore, despite the high lipid content and diversity on EVs, the role of lipids (i.e., glycosphingolipids) in drug delivery, specific tissue-derived EVs, and how other surface moieties facilitate delivery is still poorly understood. Comprehensive multi-omic surfaceome studies of homogeneous EVs will assist in understanding which effectors (e.g., tetraspanins, integrin receptors/ligands, glycoproteins, membrane lipids) facilitate direct functional content transfer and targeting, findings which will be critically important in exploiting EVs as drug delivery systems. Combining surfaceome characterization with techniques to study tropism and biodistribution will assist in identification of components that determine targeting and interaction.
Understanding the biodistribution of EVs is critical for the identification of targeting-moieties and ensuring dosage at the intended site/tissue. While simple, fast, and relatively inexpensive to use, lipophilic dyes can present issues for biodistribution studies. Dyes can form micelles and interfere with EV size, charge, uptake, biodistribution and clearance, raising questions about their suitability for this application. Indeed, EVs are likely degraded and/or recycled in vivo resulting in inaccurate spatiotemporal information—a consideration when using such dyes is their capacity to interact with other membranes and remain visible in such tissues. Fortunately, alternatives to dye-based tracking are emerging; recent developments in live cell reporters allow visualization of EV biogenesis, uptake and intracellular trafficking. Fusing surface proteins to NanoLuc or ThermoLuc allow highly sensitive in vivo quantification or real time imaging, respectively, at low cost and in semi-high throughput. Additionally, other reporter systems have been used to label EVs for in vivo imaging, spatiotemporal dynamics, and pharmacokinetic analysis of administered EVs. Imaging technologies have shown EV biodistribution is influenced by route of administration (intravenous, intraperitoneal, and subcutaneous injection) and dosage. Mode of delivery also effects the plasma pharmacokinetic patterns of EVs, while different subpopulations of EVs differ in their in vivo biodistributions. This variation presents a challenge for the clinical application of systemically administered EV therapies, with altered biodistribution complicating potential dosage and off-target effects. However, non-systemic administration of EVs may bypass this challenge.
Delivery of EV-based therapeutics directly to the site of interest overcomes the limitations of current therapeutic delivery strategies and can ensure sequestration of the therapeutic. Lung-based pathologies are employing inhalation as the method of administration to ensure site-specific delivery (NCT04389385, NCT04747574, and NCT04276987). Injections of EVs to sites of damage are another method of focusing delivery, with therapeutic application of EVs directly to arthritic joints, venous ulcers (NCT04652531), inner ears, eyes (NCT03437759), and heart [damaged myocardium]. While suitable for individual treatments at injection-accessible sites, ongoing release of EV-based therapeutics at inaccessible sites raises a challenge. The injection or topical application of hydrogels and biogels offer a form of slow-release EV administration directly to the site of injury. Furthermore, the recent development of EV-coated scaffolds, such as cardiac stents and cardiac fibrin patches, allow for the therapeutics extended release at the site of damage. As a minimally-invasive direct therapeutic delivery strategy, EVs have been shown to be released in high capacity in vivo from human stem cells within a semi-permeable chamber inserted subcutaneously for cardiac therapy. Coating implants for expedited healing and recovery is an area with great therapeutic potential, however, refinements and standardization will be required prior to clinical translation. Developments utilizing shape memory materials [e.g., smart or intelligent materials] and dynamic response composites which can adapt to external stimuli, could offer significant advantages in EV-coated implant/scaffold systems for wound treatment. Further improvements to EV-based therapeutic delivery will be made with additional molecular characterization of EV-tissue tropism, biodistribution, and delivery mechanism designs to ensure the specificity of therapeutic delivery for specific cell types.
Conclusion
Extracellular vesicle-based therapeutics hold the greatest clinical promise when a combination of native and engineered aspects are utilized. Native EVs hold innate therapeutic potential—they are biocompatible, stable, and due to their specific targeting, facilitate therapeutic use. However, there are significant challenges associated with their commercialization and clinical development, with engineered EVs allowing modified content, increased production, and targeting for improved therapeutic outcome. Regardless of native or engineered state, there are several aspects which must be considered prior to pharmaceutical translation and clinical application (Figure 1), primarily the source, standardized EV generation/isolation and characterization, defining composition/potency/dose/safety, understanding targeting and biodistribution, and elucidating mechanism of action in target cell(s). This review details diverse scalable processes/strategies for EV generation and isolation, and development/integration of methods for research/clinical grade quality control. In developing EV-based therapeutics, a quantitative analysis of pharmacokinetics, biodistribution, and influence of storage conditions on shelf life, are essential. Indeed, several seminal studies have reported a clinically feasible approach for EV production, scalability, and storage for therapeutic application. Interestingly, for EV-based therapeutic development, as discussed, the most advanced scale-up strategies preferentially use abundant quantities of available biomaterials (biofluids, blood products including plasma, red blood cells, platelets) and produce engineered EVs or secretome-based products for translation. Such strategies may be the result of the clinical translation of prior regulatory requirements in the established, licensed use of these products as medicines, abundant supply, human origin, and biotechnology and cell therapy industry links to accelerate clinical translation. The use of these products has significantly inherent translational advantages for hemostasis, for regenerative medicine, and as drug-delivery vehicles. Once quality control concerns have been addressed and applied by the field, clinical trials will be able to advance further. Successful translation of EV therapeutics in immunomodulation, regeneration and repair, and combination therapies will provide desperately needed treatments globally, transforming the current bio-pharmaceutical landscape.
Considering that EVs carry and transfer various functional molecular cargo, quantitative global analyses to understand EV-associated components [e.g., EV-mediated transfer of proteins/lipids/RNAs between specific cell types and organs] warrants further investigation. Increasingly, the field is shifting toward systems biology to understand EVs, integrating different analysis platforms to achieve multi-omic characterization of EVs for therapeutic application—their source (different donor origins, organ/tissue-derived), composition (including core and surfaceome/interactome landscape), and capacity to reprogram target cells and phenotype. Further development of these technologies will facilitate the advancement and refinement of EV-based therapeutics. Indeed, developments in EV-based function in cross-kingdom delivery [i.e., RNAs in trafficking from plant to regulate fungal pathogens] may further develop effective delivery methods of pathogen-targeting regulatory RNAs for therapeutic and agriculture use.
Designing EV-based therapeutics is reliant on identification of components with a beneficial effect at a target site. Given their complex composition, mechanisms by which EVs induce their therapeutic effects remain incompletely understood. As a priority, a major challenge toward therapeutic utility of EVs is their heterogeneity in content and composition inherent in their biogenesis and generation. This heterogeneity currently complicates the design, dose, standardization, regulation, and delivery of EV-based therapeutics. Enrichment strategies that can distinguish between different EVs may help identify the functional sub-population and enrich for active components. Such an approach will not only result in more potent therapeutic applications but allow decoding and translation of molecular insights and mechanisms of action underlying function. The design of simple, effective, and cost-efficient processes to assess the required purity of EVs will facilitate much-needed standardization in the field. Careful consideration and standardized/regulatory requirements for challenges raised in this and other key reviews will assist in development of EV-based therapeutics, bringing them closer to the clinic.
Author Contributions
BC, JL, and QP contributed equally to all aspects of the design, writing, figure generation, and editing of this manuscript. DG contributed to the design, writing, and editing of the manuscript. All authors approved the submitted version.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s Note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References 520
- 1.
Abdel-Monem H. Dasgupta S. K. Le A. Prakasam A. Thiagarajan P. (2010 ). Phagocytosis of platelet microvesicles and beta2- glycoprotein I. Thromb. Haemost. 104 335–341.
Not in our library10.1160/th09-12-0849
- 2.
Abels E. R. Maas S. L. N. Nieland L. Wei Z. Cheah P. S. Tai E. (2019 ). Glioblastoma-Associated Microglia Reprogramming Is Mediated by Functional Transfer of Extracellular miR-21. Cell Rep. 28 3105–3119e3107.
Not in our library10.1016/j.celrep.2019.08.036
- 3.
Aday S. Hazan-Halevy I. Chamorro-Jorganes A. Anwar M. Goldsmith M. Beazley-Long N. (2021 ). Bioinspired artificial exosomes based on lipid nanoparticles carrying let-7b-5p promote angiogenesis in vitro and in vivo. Mol. Ther. [Preprint].
Not in our library10.1016/j.ymthe.2021.03.015
- 4.
Adlerz K. Patel D. Rowley J. Ng K. Ahsan T. (2020 ). Strategies for scalable manufacturing and translation of MSC-derived extracellular vesicles. Stem Cell Res. 48:101978.
Not in our library10.1016/j.scr.2020.101978
- 5.
Admyre C. Grunewald J. Thyberg J. Gripenback S. Tornling G. Eklund A. (2003 ). Exosomes with major histocompatibility complex class II and co-stimulatory molecules are present in human BAL fluid. Eur. Respir. J. 22 578–583.
Not in our library10.1183/09031936.03.00041703
- 6.
Ageta H. Ageta-Ishihara N. Hitachi K. Karayel O. Onouchi T. Yamaguchi H. (2018 ). UBL3 modification influences protein sorting to small extracellular vesicles. Nat. Commun. 9:3936.
Not in our library10.1038/s41467-018-06197-y
- 7.
Al-Nedawi K. Meehan B. Micallef J. Lhotak V. May L. Guha A. (2008 ). Intercellular transfer of the oncogenic receptor EGFRvIII by microvesicles derived from tumour cells. Nat. Cell Biol. 10 619–624.
Not in our library10.1038/ncb1725
- 8.
Altan-Bonnet N. (2016 ). Extracellular vesicles are the Trojan horses of viral infection. Curr. Opin. Microbiol. 32 77–81.
Not in our library10.1016/j.mib.2016.05.004
- 9.
Alvarez-Erviti L. Seow Y. Yin H. Betts C. Lakhal S. Wood M. J. (2011 ). Delivery of siRNA to the mouse brain by systemic injection of targeted exosomes. Nat. Biotechnol. 29 341–345.
Not in our library10.1038/nbt.1807
- 10.
Amash A. Wang L. Wang Y. Bhakta V. Fairn G. D. Hou M. (2016 ). CD44 Antibody Inhibition of Macrophage Phagocytosis Targets Fcgamma Receptor- and Complement Receptor 3-Dependent Mechanisms. J. Immunol. 196 3331–3340.
Not in our library10.4049/jimmunol.1502198
- 11.
Andrews D. W. Judy K. D. Scott C. B. Garcia S. Harshyne L. A. Kenyon L. (2021 ). Phase Ib Clinical Trial of IGV-001 for Patients with Newly Diagnosed Glioblastoma. Clin. Cancer Res. 27 1912–1922.
Not in our library10.1158/1078-0432.ccr-20-3805
- 12.
- 13.
- 14.
Anwar M. A. Dai D. L. Wilson-McManus J. Smith D. Francis G. A. Borchers C. H. (2019 ). Multiplexed LC-ESI-MRM-MS-based Assay for Identification of Coronary Artery Disease Biomarkers in Human Plasma. Proteom. Clin. Appl. 13:e1700111.
Not in our library10.1002/prca.201700111
- 15.
- 16.
Aqil F. Munagala R. Jeyabalan J. Agrawal A. K. Gupta R. (2017 ). Exosomes for the Enhanced Tissue Bioavailability and Efficacy of Curcumin. AAPS J. 19 1691–1702.
Not in our library10.1208/s12248-017-0154-9
- 17.
- 18.
Arslan F. Lai R. C. Smeets M. B. Akeroyd L. Choo A. Aguor E. N. (2013 ). Mesenchymal stem cell-derived exosomes increase ATP levels, decrease oxidative stress and activate PI3K/Akt pathway to enhance myocardial viability and prevent adverse remodeling after myocardial ischemia/reperfusion injury. Stem Cell Res. 10 301–312.
Not in our library10.1016/j.scr.2013.01.002
- 19.
- 20.
Barile L. Lionetti V. Cervio E. Matteucci M. Gherghiceanu M. Popescu L. M. (2014 ). Extracellular vesicles from human cardiac progenitor cells inhibit cardiomyocyte apoptosis and improve cardiac function after myocardial infarction. Cardiovasc. Res. 103 530–541.
Not in our library10.1093/cvr/cvu167
- 21.
Barkal A. A. Brewer R. E. Markovic M. Kowarsky M. Barkal S. A. Zaro B. W. (2019 ). CD24 signalling through macrophage Siglec-10 is a target for cancer immunotherapy. Nature 572 392–396.
Not in our library10.1038/s41586-019-1456-0
- 22.
Basalova N. Sagaradze G. Arbatskiy M. Evtushenko E. Kulebyakin K. Grigorieva O. (2020 ). Secretome of Mesenchymal Stromal Cells Prevents Myofibroblasts Differentiation by Transferring Fibrosis-Associated microRNAs within Extracellular Vesicles. Cells 9:1272.
Not in our library10.3390/cells9051272
- 23.
Beard K. Meaney D. F. Issadore D. (2020 ). Clinical Applications of Extracellular Vesicles in the Diagnosis and Treatment of Traumatic Brain Injury. J. Neurotrauma 37 2045–2056.
Not in our library10.1089/neu.2020.6990
- 24.
Bellavia D. Raimondo S. Calabrese G. Forte S. Cristaldi M. Patinella A. (2017 ). Interleukin 3- receptor targeted exosomes inhibit in vitro and in vivo Chronic Myelogenous Leukemia cell growth. Theranostics 7 1333–1345.
Not in our library10.7150/thno.17092
- 25.
Belov L. Matic K. J. Hallal S. Best O. G. Mulligan S. P. Christopherson R. I. (2016 ). Extensive surface protein profiles of extracellular vesicles from cancer cells may provide diagnostic signatures from blood samples. J. Extracell Vesicles 5:25355.
Not in our library10.3402/jev.v5.25355
- 26.
Berenguer J. Lagerweij T. Zhao X. W. Dusoswa S. van der Stoop P. Westerman B. (2018 ). Glycosylated extracellular vesicles released by glioblastoma cells are decorated by CCL18 allowing for cellular uptake via chemokine receptor CCR8. J. Extracell Vesicles 7:1446660.
Not in our library10.1080/20013078.2018.1446660
- 27.
Bertram J. P. Williams C. A. Robinson R. Segal S. S. Flynn N. T. Lavik E. B. (2009 ). Intravenous hemostat: nanotechnology to halt bleeding. Sci. Transl. Med. 1:11ra22.
Not in our library10.1126/scitranslmed.3000397
- 28.
Besse B. Charrier M. Lapierre V. Dansin E. Lantz O. Planchard D. (2016 ). Dendritic cell-derived exosomes as maintenance immunotherapy after first line chemotherapy in NSCLC. Oncoimmunology 5:e1071008.
Not in our library10.1080/2162402x.2015.1071008
- 29.
Bian S. Zhang L. Duan L. Wang X. Min Y. Yu H. (2014 ). Extracellular vesicles derived from human bone marrow mesenchymal stem cells promote angiogenesis in a rat myocardial infarction model. J. Mol. Med. 92 387–397.
Not in our library10.1007/s00109-013-1110-5
- 30.
Bijnsdorp I. V. Schelfhorst T. Luinenburg M. Rolfs F. Piersma S. R. de Haas R. R. (2021 ). Feasibility of phosphoproteomics to uncover oncogenic signalling in secreted extracellular vesicles using glioblastoma-EGFRVIII cells as a model. J. Proteomics 232:104076.
Not in our library10.1016/j.jprot.2020.104076
- 31.
Biswas S. Torchilin V. P. (2014 ). Nanopreparations for organelle-specific delivery in cancer. Adv. Drug Deliv. Rev. 66 26–41.
Not in our library10.1016/j.addr.2013.11.004
- 32.
Borczuk A. C. Salvatore S. P. Seshan S. V. Patel S. S. Bussel J. B. Mostyka M. (2020 ). COVID-19 pulmonary pathology: a multi-institutional autopsy cohort from Italy and New York City. Mod. Pathol. 33 2156–2168.
Not in our library10.1038/s41379-020-00661-1
- 33.
Brown S. Heinisch I. Ross E. Shaw K. Buckley C. D. Savill J. (2002 ). Apoptosis disables CD31-mediated cell detachment from phagocytes promoting binding and engulfment. Nature 418 200–203.
Not in our library10.1038/nature00811
- 34.
Brownlee W. J. Seib F. P. (2018 ). Impact of the hypoxic phenotype on the uptake and efflux of nanoparticles by human breast cancer cells. Sci. Rep. 8:12318.
Not in our library10.1038/s41598-018-30517-3
- 35.
- 36.
Buschmann D. Mussack V. Byrd J. B. (2021 ). Separation, characterization, and standardization of extracellular vesicles for drug delivery applications. Adv. Drug Deliv. Rev. 174 348–368.
Not in our library10.1016/j.addr.2021.04.027
- 37.
Buss C. G. Bhatia S. N. (2020 ). Nanoparticle delivery of immunostimulatory oligonucleotides enhances response to checkpoint inhibitor therapeutics. Proc. Natl. Acad. Sci. U.S.A. 117 13428–13436.
Not in our library10.1073/pnas.2001569117
- 38.
Buzas E. I. Gardiner C. Lee C. Smith Z. J. (2017 ). Single particle analysis: Methods for detection of platelet extracellular vesicles in suspension (excluding flow cytometry). Platelets 28 249–255.
Not in our library10.1080/09537104.2016.1260704
- 39.
Cai Q. Qiao L. Wang M. He B. Lin F. M. Palmquist J. (2018 ). Plants send small RNAs in extracellular vesicles to fungal pathogen to silence virulence genes. Science 360 1126–1129.
Not in our library10.1126/science.aar4142
- 40.
Calderon A. J. Muzykantov V. Muro S. Eckmann D. M. (2009 ). Flow dynamics, binding and detachment of spherical carriers targeted to ICAM-1 on endothelial cells. Biorheology 46 323–341.
Not in our library10.3233/bir-2009-0544
- 41.
Cao H. Dan Z. He X. Zhang Z. Yu H. Yin Q. (2016 ). Liposomes Coated with Isolated Macrophage Membrane Can Target Lung Metastasis of Breast Cancer. ACS Nano 10 7738–7748.
Not in our library10.1021/acsnano.6b03148
- 42.
Carli A. L. E. Afshar-Sterle S. Rai A. Fang H. O’Keefe R. Tse J. (2021 ). Cancer stem cell marker DCLK1 reprograms small extracellular vesicles toward migratory phenotype in gastric cancer cells. Proteomics 2021:e2000098.
Not in our library10.1002/pmic.202000098
- 43.
Casella G. Colombo F. Finardi A. Descamps H. Ill-Raga G. Spinelli A. (2018 ). Extracellular Vesicles Containing IL-4 Modulate Neuroinflammation in a Mouse Model of Multiple Sclerosis. Mol. Ther. 26 2107–2118.
Not in our library10.1016/j.ymthe.2018.06.024
- 44.
- 45.
Chan J. M. Zhang L. Tong R. Ghosh D. Gao W. Liao G. (2010 ). Spatiotemporal controlled delivery of nanoparticles to injured vasculature. Proc. Natl. Acad. Sci. U.S.A. 107 2213–2218.
Not in our library10.1073/pnas.0914585107
- 46.
Chao M. P. Weissman I. L. Majeti R. (2012 ). The CD47-SIRPalpha pathway in cancer immune evasion and potential therapeutic implications. Curr. Opin. Immunol. 24 225–232.
Not in our library10.1016/j.coi.2012.01.010
- 47.
Charoenviriyakul C. Takahashi Y. Morishita M. Matsumoto A. Nishikawa M. Takakura Y. (2017 ). Cell type-specific and common characteristics of exosomes derived from mouse cell lines: Yield, physicochemical properties, and pharmacokinetics. Eur. J. Pharm. Sci. 96 316–322.
Not in our library10.1016/j.ejps.2016.10.009
- 48.
Chen C. W. Wang L. L. Zaman S. Gordon J. Arisi M. F. Venkataraman C. M. (2018 ). Sustained release of endothelial progenitor cell-derived extracellular vesicles from shear-thinning hydrogels improves angiogenesis and promotes function after myocardial infarction. Cardiovasc. Res. 114 1029–1040.
Not in our library10.1093/cvr/cvy067
- 49.
Chen G. Huang A. C. Zhang W. Zhang G. Wu M. Xu W. (2018 ). Exosomal PD-L1 contributes to immunosuppression and is associated with anti-PD-1 response. Nature 560 382–386.
Not in our library10.1038/s41586-018-0392-8
- 50.
Chen M. Qiu T. Wu J. Yang Y. Wright G. D. Wu M. (2018 ). Extracellular anti-angiogenic proteins augment an endosomal protein trafficking pathway to reach mitochondria and execute apoptosis in HUVECs. Cell Death Differ. 25 1905–1920.
Not in our library10.1038/s41418-018-0092-9
- 51.
Chen M. Xu R. Ji H. Greening D. W. Rai A. Izumikawa K. (2016 ). Transcriptome and long noncoding RNA sequencing of three extracellular vesicle subtypes released from the human colon cancer LIM1863 cell line. Sci. Rep. 6:38397.
Not in our library10.1038/srep38397
- 52.
Chen R. Huang H. Liu H. Xi J. Ning J. Zeng W. (2019 ). Friend or Foe? Evidence Indicates Endogenous Exosomes Can Deliver Functional gRNA and Cas9 Protein. Small 15:e1902686.
Not in our library10.1002/smll.201902686
- 53.
- 54.
- 55.
- 56.
Cheng L. Sharples R. A. Scicluna B. J. Hill A. F. (2014 ). Exosomes provide a protective and enriched source of miRNA for biomarker profiling compared to intracellular and cell-free blood. J. Extracell Vesicl. 3:23743.
Not in our library10.3402/jev.v3.23743
- 57.
Cheng Q. Wei T. Farbiak L. Johnson L. T. Dilliard S. A. Siegwart D. J. (2020 ). Selective organ targeting (SORT) nanoparticles for tissue-specific mRNA delivery and CRISPR-Cas gene editing. Nat. Nanotechnol. 15 313–320.
Not in our library10.1038/s41565-020-0669-6
- 58.
Chennakrishnaiah S. Tsering T. Gregory C. Tawil N. Spinelli C. Montermini L. (2020 ). Extracellular vesicles from genetically unstable, oncogene-driven cancer cells trigger micronuclei formation in endothelial cells. Sci. Rep. 10:8532.
Not in our library10.1038/s41598-020-65640-7
- 59.
Cherian D. S. Bhuvan T. Meagher L. Heng T. S. P. (2020 ). Biological Considerations in Scaling Up Therapeutic Cell Manufacturing. Front. Pharmacol. 11:654.
Not in our library10.3389/fphar.2020.00654
- 60.
- 61.
Cho E. Nam G. H. Hong Y. Kim Y. K. Kim D. H. Yang Y. (2018 ). Comparison of exosomes and ferritin protein nanocages for the delivery of membrane protein therapeutics. J. Control Release 279 326–335.
Not in our library10.1016/j.jconrel.2018.04.037
- 62.
Choi D. Montermini L. Jeong H. Sharma S. Meehan B. Rak J. (2019 ). Mapping Subpopulations of Cancer Cell-Derived Extracellular Vesicles and Particles by Nano-Flow Cytometry. ACS Nano 13 10499–10511.
Not in our library10.1021/acsnano.9b04480
- 63.
Christianson H. C. Svensson K. J. van Kuppevelt T. H. Li J. P. Belting M. (2013 ). Cancer cell exosomes depend on cell-surface heparan sulfate proteoglycans for their internalization and functional activity. Proc. Natl. Acad. Sci. U.S.A. 110 17380–17385.
Not in our library10.1073/pnas.1304266110
- 64.
Claassen I. Meylis J. van der Ley P. Peeters C. Brons H. Robert J. (1996 ). Production, characterization and control of a Neisseria meningitidis hexavalent class 1 outer membrane protein containing vesicle vaccine. Vaccine 14 1001–1008.
Not in our library10.1016/0264-410x(96)00020-5
- 65.
Clancy J. W. Schmidtmann M. D’Souza-Schorey C. (2021 ). The ins and outs of microvesicles. FASEB Bioadv. 3 399–406.
Not in our library10.1096/fba.2020-00127
- 66.
Claridge B. Rai A. Fang H. Matsumoto A. Luo J. McMullen J. R. (2021 ). Proteome characterisation of extracellular vesicles isolated from heart. Proteomics 2021:e2100026.
Not in our library10.1002/pmic.202100026
- 67.
- 68.
- 69.
Colao I. L. Corteling R. Bracewell D. Wall I. (2018 ). Manufacturing Exosomes: A Promising Therapeutic Platform. Trends Mol. Med. 24 242–256.
Not in our library10.1016/j.molmed.2018.01.006
- 70.
Commisso C. Davidson S. M. Soydaner-Azeloglu R. G. Parker S. J. Kamphorst J. J. Hackett S. (2013 ). Macropinocytosis of protein is an amino acid supply route in Ras-transformed cells. Nature 497 633–637.
Not in our library10.1038/nature12138
- 71.
Consortium E.-T. Van Deun J. Mestdagh P. Agostinis P. Akay O. Anand S. (2017 ). EV-TRACK: transparent reporting and centralizing knowledge in extracellular vesicle research. Nat. Methods 14 228–232.
Not in our library10.1038/nmeth.4185
- 72.
- 73.
- 74.
Cossetti C. Iraci N. Mercer T. R. Leonardi T. Alpi E. Drago D. (2014 ). Extracellular vesicles from neural stem cells transfer IFN-gamma via Ifngr1 to activate Stat1 signaling in target cells. Mol. Cell 56 193–204.
Not in our library10.1016/j.molcel.2014.08.020
- 75.
Costa-Silva B. Aiello N. M. Ocean A. J. Singh S. Zhang H. Thakur B. K. (2015 ). Pancreatic cancer exosomes initiate pre-metastatic niche formation in the liver. Nat. Cell Biol. 17 816–826.
Not in our library10.1038/ncb3169
- 76.
Curley N. Levy D. Do M. A. Brown A. Stickney Z. Marriott G. (2020 ). Sequential deletion of CD63 identifies topologically distinct scaffolds for surface engineering of exosomes in living human cells. Nanoscale 12 12014–12026.
Not in our library10.1039/d0nr00362j
- 77.
- 78.
Daassi D. Mahoney K. M. Freeman G. J. (2020 ). The importance of exosomal PDL1 in tumour immune evasion. Nat. Rev. Immunol. 20 209–215.
Not in our library10.1038/s41577-019-0264-y
- 79.
Dad H. A. Gu T. W. Zhu A. Q. Huang L. Q. Peng L. H. (2021 ). Plant Exosome-like Nanovesicles: Emerging Therapeutics and Drug Delivery Nanoplatforms. Mol. Ther. 29 13–31.
Not in our library10.1016/j.ymthe.2020.11.030
- 80.
Dalirfardouei R. Gholoobi A. Vahabian M. Mahdipour E. Afzaljavan F. (2021 ). Therapeutic role of extracellular vesicles derived from stem cells in cutaneous wound models: A systematic review. Life Sci. 273:119271.
Not in our library10.1016/j.lfs.2021.119271
- 81.
Dasgupta S. K. Abdel-Monem H. Niravath P. Le A. Bellera R. V. Langlois K. (2009 ). Lactadherin and clearance of platelet-derived microvesicles. Blood 113 1332–1339.
Not in our library10.1182/blood-2008-07-167148
- 82.
Dasgupta S. K. Le A. Chavakis T. Rumbaut R. E. Thiagarajan P. (2012 ). Developmental endothelial locus-1 (Del-1) mediates clearance of platelet microparticles by the endothelium. Circulation 125 1664–1672.
Not in our library10.1161/circulationaha.111.068833
- 83.
Davis M. E. Chen Z. G. Shin D. M. (2008 ). Nanoparticle therapeutics: an emerging treatment modality for cancer. Nat. Rev. Drug Discov. 7 771–782.
Not in our library10.1038/nrd2614
- 84.
de Couto G. Gallet R. Cambier L. Jaghatspanyan E. Makkar N. Dawkins J. F. (2017 ). Exosomal MicroRNA Transfer Into Macrophages Mediates Cellular Postconditioning. Circulation 136 200–214.
Not in our library10.1161/circulationaha.116.024590
- 85.
- 86.
de Kleijn E. D. de Groot R. Lafeber A. B. Labadie J. van Limpt C. J. Visser J. (2001 ). Prevention of meningococcal serogroup B infections in children: a protein-based vaccine induces immunologic memory. J. Infect. Dis. 184 98–102.
Not in our library10.1086/320993
- 87.
- 88.
Della Rosa G. Ruggeri C. Aloisi A. (2021 ). From Exosome Glycobiology to Exosome Glycotechnology, the Role of Natural Occurring Polysaccharides. Polysaccharides 2 311–338.
Not in our library
- 89.
Desdin-Mico G. Mittelbrunn M. (2017 ). Role of exosomes in the protection of cellular homeostasis. Cell Adh. Migr. 11 127–134.
Not in our library10.1080/19336918.2016.1251000
- 90.
Di Blasi R. Marbiah M. M. Siciliano V. Polizzi K. Ceroni F. (2021 ). A call for caution in analysing mammalian co-transfection experiments and implications of resource competition in data misinterpretation. Nat. Commun. 12:2545.
Not in our library10.1038/s41467-021-22795-9
- 91.
Dinkla S. van Cranenbroek B. van der Heijden W. A. He X. Wallbrecher R. Dumitriu I. E. (2016 ). Platelet microparticles inhibit IL-17 production by regulatory T cells through P-selectin. Blood 127 1976–1986.
Not in our library10.1182/blood-2015-04-640300
- 92.
Doeppner T. R. Herz J. Gorgens A. Schlechter J. Ludwig A. K. Radtke S. (2015 ). Extracellular Vesicles Improve Post-Stroke Neuroregeneration and Prevent Postischemic Immunosuppression. Stem Cells Transl. Med. 4 1131–1143.
Not in our library10.5966/sctm.2015-0078
- 93.
Dooley K. McConnell R. E. Xu K. Lewis N. D. Haupt S. Youniss M. R. (2021 ). A versatile platform for generating engineered extracellular vesicles with defined therapeutic properties. Mol. Ther. 29 1729–1743.
Not in our library10.1016/j.ymthe.2021.01.020
- 94.
Dos Santos A. Balayan A. Funderburgh M. L. Ngo J. Funderburgh J. L. Deng S. X. (2019 ). Differentiation Capacity of Human Mesenchymal Stem Cells into Keratocyte Lineage. Invest. Ophthalmol. Vis. Sci. 60 3013–3023.
Not in our library10.1167/iovs.19-27008
- 95.
- 96.
- 97.
El-Khateeb E. Vasilogianni A. M. Alrubia S. Al-Majdoub Z. M. Couto N. Howard M. (2019 ). Quantitative mass spectrometry-based proteomics in the era of model-informed drug development: Applications in translational pharmacology and recommendations for best practice. Pharmacol. Ther. 203:107397.
Not in our library10.1016/j.pharmthera.2019.107397
- 98.
Emmanouilidi A. Paladin D. Greening D. W. Falasca M. (2019 ). Oncogenic and Non-Malignant Pancreatic Exosome Cargo Reveal Distinct Expression of Oncogenic and Prognostic Factors Involved in Tumor Invasion and Metastasis. Proteomics 19:e1800158.
Not in our library10.1002/pmic.201800158
- 99.
Escude Martinez de Castilla P. Tong L. Huang C. Sofias A. M. Pastorin G. Chen X. (2021 ). Extracellular vesicles as a drug delivery system: A systematic review of preclinical studies. Adv. Drug Deliv. Rev. 175:113801.
Not in our library10.1016/j.addr.2021.05.011
- 100.
- 101.
Fadok V. A. Bratton D. L. Rose D. M. Pearson A. Ezekewitz R. A. Henson P. M. (2000 ). A receptor for phosphatidylserine-specific clearance of apoptotic cells. Nature 405 85–90.
Not in our library10.1038/35011084
- 102.
Fan S. J. Kroeger B. Marie P. P. Bridges E. M. Mason J. D. McCormick K. (2020 ). Glutamine deprivation alters the origin and function of cancer cell exosomes. EMBO J. 39:e103009.
Not in our library10.15252/embj.2019103009
- 103.
Fan W. Tian X. D. Huang E. Zhang J. J. (2013 ). Exosomes from CIITA-transfected CT26 cells enhance anti- tumor effects. Asian Pac. J. Cancer Prev. 14 987–991.
Not in our library10.7314/apjcp.2013.14.2.987
- 104.
- 105.
Fathali H. Dunevall J. Majdi S. Cans A. S. (2017 ). Extracellular Osmotic Stress Reduces the Vesicle Size while Keeping a Constant Neurotransmitter Concentration. ACS Chem. Neurosci. 8 368–375.
Not in our library10.1021/acschemneuro.6b00350
- 106.
Feng C. Xiong Z. Wang C. Xiao W. Xiao H. Xie K. (2021 ). Folic acid-modified Exosome-PH20 enhances the efficiency of therapy via modulation of the tumor microenvironment and directly inhibits tumor cell metastasis. Bioact. Mater. 6 963–974.
Not in our library10.1016/j.bioactmat.2020.09.014
- 107.
Feng Z. Hensley L. McKnight K. L. Hu F. Madden V. Ping L. (2013 ). A pathogenic picornavirus acquires an envelope by hijacking cellular membranes. Nature 496 367–371.
Not in our library10.1038/nature12029
- 108.
- 109.
Figueroa J. M. Skog J. Akers J. Li H. Komotar R. Jensen R. (2017 ). Detection of wild-type EGFR amplification and EGFRvIII mutation in CSF-derived extracellular vesicles of glioblastoma patients. Neuro Oncol. 19 1494–1502.
Not in our library10.1093/neuonc/nox085
- 110.
Flaherty S. E. III Grijalva A. Xu X. Ables E. Nomani A. Ferrante A. W. Jr. (2019 ). A lipase-independent pathway of lipid release and immune modulation by adipocytes. Science 363 989–993.
Not in our library10.1126/science.aaw2586
- 111.
Friman T. Chernobrovkin A. Martinez Molina D. Arnold L. (2021 ). CETSA MS Profiling for a Comparative Assessment of FDA-Approved Antivirals Repurposed for COVID-19 Therapy Identifies TRIP13 as a Remdesivir Off-Target. SLAS Discov. 26 336–344.
Not in our library10.1177/2472555220973597
- 112.
Fuhrmann G. Serio A. Mazo M. Nair R. Stevens M. M. (2015 ). Active loading into extracellular vesicles significantly improves the cellular uptake and photodynamic effect of porphyrins. J. Control. Release 205 35–44.
Not in our library10.1016/j.jconrel.2014.11.029
- 113.
- 114.
Galieva L. R. James V. Mukhamedshina Y. O. Rizvanov A. A. (2019 ). Therapeutic Potential of Extracellular Vesicles for the Treatment of Nerve Disorders. Front. Neurosci. 13:163.
Not in our library10.3389/fnins.2019.00163
- 115.
Gandham S. Su X. Wood J. Nocera A. L. Alli S. C. Milane L. (2020 ). Technologies and Standardization in Research on Extracellular Vesicles. Trends Biotechnol. 38 1066–1098.
Not in our library10.1016/j.tibtech.2020.05.012
- 116.
Gangadaran P. Ahn B. C. (2020 ). Extracellular Vesicle- and Extracellular Vesicle Mimetics-Based Drug Delivery Systems: New Perspectives, Challenges, and Clinical Developments. Pharmaceutics 12:442.
Not in our library10.3390/pharmaceutics12050442
- 117.
- 118.
Gao G. Zhao S. Xia X. Li C. Li C. Ji C. (2019 ). Glutaminase C Regulates Microglial Activation and Pro-inflammatory Exosome Release: Relevance to the Pathogenesis of Alzheimer’s Disease. Front. Cell Neurosci. 13:264.
Not in our library10.3389/fncel.2019.00264
- 119.
Gao J. Wang S. Wang Z. (2017 ). High yield, scalable and remotely drug-loaded neutrophil-derived extracellular vesicles (EVs) for anti-inflammation therapy. Biomaterials 135 62–73.
Not in our library10.1016/j.biomaterials.2017.05.003
- 120.
- 121.
Garcia N. A. Moncayo-Arlandi J. Sepulveda P. Diez-Juan A. (2016 ). Cardiomyocyte exosomes regulate glycolytic flux in endothelium by direct transfer of GLUT transporters and glycolytic enzymes. Cardiovasc. Res. 109 397–408.
Not in our library10.1093/cvr/cvv260
- 122.
- 123.
Geeurickx E. Lippens L. Rappu P. De Geest B. G. De Wever O. Hendrix A. (2021 ). Recombinant extracellular vesicles as biological reference material for method development, data normalization and assessment of (pre-)analytical variables. Nat. Protoc. 16 603–633.
Not in our library10.1038/s41596-020-00446-5
- 124.
- 125.
Gehrmann U. Naslund T. I. Hiltbrunner S. Larssen P. Gabrielsson S. (2014 ). Harnessing the exosome-induced immune response for cancer immunotherapy. Semin. Cancer Biol. 28 58–67.
Not in our library10.1016/j.semcancer.2014.05.003
- 126.
Gezsi A. Kovacs A. Visnovitz T. Buzas E. I. (2019 ). Systems biology approaches to investigating the roles of extracellular vesicles in human diseases. Exp. Mol. Med. 51 1–11.
Not in our library10.1038/s12276-019-0226-2
- 127.
- 128.
Gomez-Ferrer M. Villanueva-Badenas E. Sanchez-Sanchez R. Sanchez-Lopez C. M. Baquero M. C. Sepulveda P. (2021 ). HIF-1alpha and Pro-Inflammatory Signaling Improves the Immunomodulatory Activity of MSC-Derived Extracellular Vesicles. Int. J. Mol. Sci. 22:3416.
Not in our library10.3390/ijms22073416
- 129.
Goodman R. R. Davies J. E. (2020 ). Mesenchymal stromal cells and their derivatives–putative therapeutics in the management of autoimmune pancreatitis. FEBS Open Bio 10 969–978.
Not in our library10.1002/2211-5463.12866
- 130.
Gordon S. R. Maute R. L. Dulken B. W. Hutter G. George B. M. McCracken M. N. (2017 ). PD-1 expression by tumour-associated macrophages inhibits phagocytosis and tumour immunity. Nature 545 495–499.
Not in our library10.1038/nature22396
- 131.
Gorringe A. R. Pajon R. (2012 ). Bexsero: a multicomponent vaccine for prevention of meningococcal disease. Hum. Vaccin Immunother. 8 174–183.
Not in our library10.4161/hv.18500
- 132.
- 133.
Grangier A. Branchu J. Volatron J. Piffoux M. Gazeau F. Wilhelm C. (2021 ). Technological advances towards extracellular vesicles mass production. Adv. Drug Deliv. Rev. 2021:113843.
Not in our library10.1016/j.addr.2021.113843
- 134.
Grapp M. Wrede A. Schweizer M. Huwel S. Galla H. J. Snaidero N. (2013 ). Choroid plexus transcytosis and exosome shuttling deliver folate into brain parenchyma. Nat. Commun. 4:2123.
Not in our library10.1038/ncomms3123
- 135.
Greening D. W. Simpson R. J. (2018 ). Understanding extracellular vesicle diversity - current status. Expert Rev. Proteom. 15 887–910.
Not in our library10.1080/14789450.2018.1537788
- 136.
Greening D. W. Xu R. Gopal S. K. Rai A. Simpson R. J. (2017 ). Proteomic insights into extracellular vesicle biology - defining exosomes and shed microvesicles. Expert Rev. Proteomics 14 69–95.
Not in our library10.1080/14789450.2017.1260450
- 137.
Greening D. W. Xu R. Ji H. Tauro B. J. Simpson R. J. (2015 ). A protocol for exosome isolation and characterization: evaluation of ultracentrifugation, density-gradient separation, and immunoaffinity capture methods. Methods Mol. Biol. 1295 179–209.
Not in our library10.1007/978-1-4939-2550-6_15
- 138.
Grossen P. Portmann M. Koller E. Duschmale M. Minz T. Sewing S. (2021 ). Evaluation of bovine milk extracellular vesicles for the delivery of locked nucleic acid antisense oligonucleotides. Eur. J. Pharm. Biopharm. 158 198–210.
Not in our library10.1016/j.ejpb.2020.11.012
- 139.
Gu H. Liu Z. Li Y. Xie Y. Yao J. Zhu Y. (2018 ). Serum-Derived Extracellular Vesicles Protect Against Acute Myocardial Infarction by Regulating miR-21/PDCD4 Signaling Pathway. Front. Physiol. 9:348.
Not in our library10.3389/fphys.2018.00348
- 140.
Gu W. Bobrin V. A. Chen S. R. Wang Z. Schoning J. P. Gu Y. (2019 ). Biodistribution of PNIPAM-Coated Nanostructures Synthesized by the TDMT Method. Biomacromolecules 20 625–634.
Not in our library10.1021/acs.biomac.8b01196
- 141.
Gu Y. Y. Yu J. Zhang J. F. Wang C. (2019 ). Suppressing the secretion of exosomal miR-19b by gw4869 could regulate oxaliplatin sensitivity in colorectal cancer. Neoplasma 66 39–45.
Not in our library10.4149/neo_2018_180306n155
- 142.
Gujrati V. Kim S. Kim S. H. Min J. J. Choy H. E. Kim S. C. (2014 ). Bioengineered bacterial outer membrane vesicles as cell-specific drug-delivery vehicles for cancer therapy. ACS Nano 8 1525–1537.
Not in our library10.1021/nn405724x
- 143.
Guo S. Shen S. Wang J. Wang H. Li M. Liu Y. (2015 ). Detection of high-risk atherosclerotic plaques with ultrasound molecular imaging of glycoprotein IIb/IIIa receptor on activated platelets. Theranostics 5 418–430.
Not in our library10.7150/thno.10020
- 144.
- 145.
Gurnani K. Kennedy J. Sad S. Sprott G. D. Krishnan L. (2004 ). Phosphatidylserine receptor-mediated recognition of archaeosome adjuvant promotes endocytosis and MHC class I cross-presentation of the entrapped antigen by phagosome-to-cytosol transport and classical processing. J. Immunol. 173 566–578.
Not in our library10.4049/jimmunol.173.1.566
- 146.
Gurung S. Greening D. W. Catt S. Salamonsen L. Evans J. (2020 ). Exosomes and soluble secretome from hormone-treated endometrial epithelial cells direct embryo implantation. Mol. Hum. Reprod. 26 510–520.
Not in our library10.1093/molehr/gaaa034
- 147.
Gyorgy B. Sage C. Indzhykulian A. A. Scheffer D. I. Brisson A. R. Tan S. (2017 ). Rescue of Hearing by Gene Delivery to Inner-Ear Hair Cells Using Exosome-Associated AAV. Mol. Ther. 25 379–391.
Not in our library10.1016/j.ymthe.2016.12.010
- 148.
- 149.
Hall J. Prabhakar S. Balaj L. Lai C. P. Cerione R. A. Breakefield X. O. (2016 ). Delivery of Therapeutic Proteins via Extracellular Vesicles: Review and Potential Treatments for Parkinson’s Disease, Glioma, and Schwannoma. Cell Mol. Neurobiol. 36 417–427.
Not in our library10.1007/s10571-015-0309-0
- 150.
Han H. D. Lee A. Song C. K. Hwang T. Seong H. Lee C. O. (2006 ). In vivo distribution and antitumor activity of heparin-stabilized doxorubicin-loaded liposomes. Int. J. Pharm. 313 181–188.
Not in our library10.1016/j.ijpharm.2006.02.007
- 151.
- 152.
Han Y. Ren J. Bai Y. Pei X. Han Y. (2019 ). Exosomes from hypoxia-treated human adipose-derived mesenchymal stem cells enhance angiogenesis through VEGF/VEGF-R. Int. J. Biochem. Cell Biol. 109 59–68.
Not in our library10.1016/j.biocel.2019.01.017
- 153.
Haney M. J. Klyachko N. L. Harrison E. B. Zhao Y. Kabanov A. V. Batrakova E. V. (2019 ). TPP1 Delivery to Lysosomes with Extracellular Vesicles and their Enhanced Brain Distribution in the Animal Model of Batten Disease. Adv. Healthc. Mater. 8:e1801271.
Not in our library10.1002/adhm.201801271
- 154.
Haney M. J. Klyachko N. L. Zhao Y. Gupta R. Plotnikova E. G. He Z. (2015 ). Exosomes as drug delivery vehicles for Parkinson’s disease therapy. J. Control Release 207 18–30.
Not in our library10.1016/j.jconrel.2015.03.033
- 155.
Haney M. J. Zhao Y. Jin Y. S. Li S. M. Bago J. R. Klyachko N. L. (2020 ). Macrophage-Derived Extracellular Vesicles as Drug Delivery Systems for Triple Negative Breast Cancer (TNBC) Therapy. J. Neuroimmune Pharmacol. 15 487–500.
Not in our library10.1007/s11481-019-09884-9
- 156.
Hassett K. J. Benenato K. E. Jacquinet E. Lee A. Woods A. Yuzhakov O. (2019 ). Optimization of Lipid Nanoparticles for Intramuscular Administration of mRNA Vaccines. Mol. Ther. Nucleic Acids 15 1–11.
Not in our library10.1016/j.omtn.2019.01.013
- 157.
Haun J. B. Hammer D. A. (2008 ). Quantifying nanoparticle adhesion mediated by specific molecular interactions. Langmuir 24 8821–8832.
Not in our library10.1021/la8005844
- 158.
Haun J. B. Pepper L. R. Boder E. T. Hammer D. A. (2011 ). Using engineered single-chain antibodies to correlate molecular binding properties and nanoparticle adhesion dynamics. Langmuir 27 13701–13712.
Not in our library10.1021/la202926m
- 159.
- 160.
Herrmann I. K. Wood M. J. A. Fuhrmann G. (2021 ). Extracellular vesicles as a next-generation drug delivery platform. Nat. Nanotechnol. 16 748–759.
Not in our library10.1038/s41565-021-00931-2
- 161.
Hong Y. Kim Y. K. Kim G. B. Nam G. H. Kim S. A. Park Y. (2019 ). Degradation of tumour stromal hyaluronan by small extracellular vesicle-PH20 stimulates CD103(+) dendritic cells and in combination with PD-L1 blockade boosts anti-tumour immunity. J. Extracell. Vesicles 8:1670893.
Not in our library10.1080/20013078.2019.1670893
- 162.
Horodecka K. Duchler M. (2021 ). CRISPR/Cas9: Principle, Applications, and Delivery through Extracellular Vesicles. Int. J. Mol. Sci. 22:6072.
Not in our library10.3390/ijms22116072
- 163.
Horst A. K. Kumashie K. G. Neumann K. Diehl L. Tiegs G. (2021 ). Antigen presentation, autoantibody production, and therapeutic targets in autoimmune liver disease. Cell Mol. Immunol. 18 92–111.
Not in our library10.1038/s41423-020-00568-6
- 164.
Hoshino A. Costa-Silva B. Shen T. L. Rodrigues G. Hashimoto A. Tesic Mark M. (2015 ). Tumour exosome integrins determine organotropic metastasis. Nature 527 329–335.
Not in our library10.1038/nature15756
- 165.
Hoshino A. Kim H. S. Bojmar L. Gyan K. E. Cioffi M. Hernandez J. (2020 ). Extracellular Vesicle and Particle Biomarkers Define Multiple Human Cancers. Cell 182 1044–1061e1018.
Not in our library10.1016/j.cell.2020.07.009
- 166.
Howard M. Zern B. J. Anselmo A. C. Shuvaev V. V. Mitragotri S. Muzykantov V. (2014 ). Vascular targeting of nanocarriers: perplexing aspects of the seemingly straightforward paradigm. ACS Nano 8 4100–4132.
Not in our library10.1021/nn500136z
- 167.
Hsu J. Hodgins J. J. Marathe M. Nicolai C. J. Bourgeois-Daigneault M. C. Trevino T. N. (2018 ). Contribution of NK cells to immunotherapy mediated by PD-1/PD-L1 blockade. J. Clin. Invest. 128 4654–4668.
Not in our library10.1172/jci99317
- 168.
Hu C. M. Zhang L. Aryal S. Cheung C. Fang R. H. Zhang L. (2011 ). Erythrocyte membrane-camouflaged polymeric nanoparticles as a biomimetic delivery platform. Proc. Natl. Acad. Sci. U.S.A. 108 10980–10985.
Not in our library10.1073/pnas.1106634108
- 169.
Hu J. Chen X. Li P. Lu X. Yan J. Tan H. (2021 ). Exosomes derived from human amniotic fluid mesenchymal stem cells alleviate cardiac fibrosis via enhancing angiogenesis in vivo and in vitro. Cardiovasc. Diagn. Ther. 11 348–361.
Not in our library10.21037/cdt-20-1032
- 170.
Hu S. Li Z. Shen D. Zhu D. Huang K. Su T. (2021 ). Exosome-eluting stents for vascular healing after ischaemic injury. Nat. Biomed. Eng. [Preprint].
Not in our library10.1038/s41551-021-00705-0
- 171.
- 172.
Huber D. L. (2005 ). Synthesis, properties, and applications of iron nanoparticles. Small 1 482–501.
Not in our library10.1002/smll.200500006
- 173.
Ikeda G. Santoso M. R. Tada Y. Li A. M. Vaskova E. Jung J. H. (2021 ). Mitochondria-Rich Extracellular Vesicles From Autologous Stem Cell-Derived Cardiomyocytes Restore Energetics of Ischemic Myocardium. J. Am. Coll. Cardiol. 77 1073–1088.
Not in our library10.1016/j.jacc.2020.12.060
- 174.
Imai T. Takahashi Y. Nishikawa M. Kato K. Morishita M. Yamashita T. (2015 ). Macrophage-dependent clearance of systemically administered B16BL6-derived exosomes from the blood circulation in mice. J. Extracell. Vesicles 4:26238.
Not in our library10.3402/jev.v4.26238
- 175.
Islam M. N. Das S. R. Emin M. T. Wei M. Sun L. Westphalen K. (2012 ). Mitochondrial transfer from bone-marrow-derived stromal cells to pulmonary alveoli protects against acute lung injury. Nat. Med. 18 759–765.
Not in our library10.1038/nm.2736
- 176.
Iupac (2018 ). Terminology of bioanalytical methods (IUPAC Recommendations 2018). Chem. Int. 40:34.
Not in our library
- 177.
Jafari D. Shajari S. Jafari R. Mardi N. Gomari H. Ganji F. (2020 ). Designer Exosomes: A New Platform for Biotechnology Therapeutics. BioDrugs 34 567–586.
Not in our library10.1007/s40259-020-00434-x
- 178.
Jafarinia M. Alsahebfosoul F. Salehi H. Eskandari N. Azimzadeh M. Mahmoodi M. (2020 ). Therapeutic effects of extracellular vesicles from human adipose-derived mesenchymal stem cells on chronic experimental autoimmune encephalomyelitis. J. Cell Physiol. 235 8779–8790.
Not in our library10.1002/jcp.29721
- 179.
- 180.
Jang S. C. Kim O. Y. Yoon C. M. Choi D. S. Roh T. Y. Park J. (2013 ). Bioinspired exosome-mimetic nanovesicles for targeted delivery of chemotherapeutics to malignant tumors. ACS Nano 7 7698–7710.
Not in our library10.1021/nn402232g
- 181.
Jeppesen D. K. Fenix A. M. Franklin J. L. Higginbotham J. N. Zhang Q. Zimmerman L. J. (2019 ). Reassessment of Exosome Composition. Cell 177 428–445e418.
Not in our library10.1016/j.cell.2019.02.029
- 182.
Jeyaram A. Jay S. M. (2017 ). Preservation and Storage Stability of Extracellular Vesicles for Therapeutic Applications. AAPS J. 20:1.
Not in our library10.1208/s12248-017-0160-y
- 183.
Jhan Y. Y. Prasca-Chamorro D. Palou Zuniga G. Moore D. M. Arun Kumar S. Gaharwar A. K. (2020 ). Engineered extracellular vesicles with synthetic lipids via membrane fusion to establish efficient gene delivery. Int. J. Pharm. 573:118802.
Not in our library10.1016/j.ijpharm.2019.118802
- 184.
Jia S. Wang R. Wu K. Jiang H. Du Z. (2019 ). Elucidation of the Mechanism of Action for Metal Based Anticancer Drugs by Mass Spectrometry-Based Quantitative Proteomics. Molecules 24:581.
Not in our library10.3390/molecules24030581
- 185.
Jia Y. Lu T. Chen Q. Pu X. Ji L. Yang J. (2021 ). Exosomes secreted from sonic hedgehog-modified bone mesenchymal stem cells facilitate the repair of rat spinal cord injuries. Acta Neurochir. [Preprint].
Not in our library10.1007/s00701-021-04829-9
- 186.
Jiang Y. Wang L. Zhang P. Liu X. Di H. Yang J. (2020 ). Chemoenzymatic Labeling of Extracellular Vesicles for Visualizing Their Cellular Internalization in Real Time. Anal. Chem. 92 2103–2111.
Not in our library10.1021/acs.analchem.9b04608
- 187.
Jin Z. Ren J. Qi S. (2020 ). Human bone mesenchymal stem cells-derived exosomes overexpressing microRNA-26a-5p alleviate osteoarthritis via down-regulation of PTGS2. Int. Immunopharmacol. 78:105946.
Not in our library10.1016/j.intimp.2019.105946
- 188.
Jo W. Jeong D. Kim J. Cho S. Jang S. C. Han C. (2014a ). Microfluidic fabrication of cell-derived nanovesicles as endogenous RNA carriers. Lab. Chip 14 1261–1269.
Not in our library10.1039/c3lc50993a
- 189.
Jo W. Kim J. Yoon J. Jeong D. Cho S. Jeong H. (2014b ). Large-scale generation of cell-derived nanovesicles. Nanoscale 6 12056–12064.
Not in our library10.1039/c4nr02391a
- 190.
Johnson J. Wu Y. W. Blyth C. Lichtfuss G. Goubran H. Burnouf T. (2021 ). Prospective Therapeutic Applications of Platelet Extracellular Vesicles. Trends Biotechnol. 39 598–612.
Not in our library10.1016/j.tibtech.2020.10.004
- 191.
Joshi B. S. Zuhorn I. S. (2021 ). Heparan sulfate proteoglycan-mediated dynamin-dependent transport of neural stem cell exosomes in an in vitro blood-brain barrier model. Eur. J. Neurosci. 53 706–719.
Not in our library10.1111/ejn.14974
- 192.
Jung Y. J. Kim H. K. Cho Y. Choi J. S. Woo C. H. Lee K. S. (2020 ). Cell reprogramming using extracellular vesicles from differentiating stem cells into white/beige adipocytes. Sci. Adv. 6:eaay6721.
Not in our library10.1126/sciadv.aay6721
- 193.
Kahmini F. R. Shahgaldi S. (2020 ). Therapeutic potential of mesenchymal stem cell-derived extracellular vesicles as novel cell-free therapy for treatment of autoimmune disorders. Exp. Mol. Pathol. 2020:104566.
Not in our library10.1016/j.yexmp.2020.104566
- 194.
Kalani A. Chaturvedi P. Kamat P. K. Maldonado C. Bauer P. Joshua I. G. (2016 ). Curcumin-loaded embryonic stem cell exosomes restored neurovascular unit following ischemia-reperfusion injury. Int. J. Biochem. Cell Biol. 79 360–369.
Not in our library10.1016/j.biocel.2016.09.002
- 195.
Kalluri R. LeBleu V. S. (2020 ). The biology, function, and biomedical applications of exosomes. Science 367:eaau6977.
Not in our library10.1126/science.aau6977
- 196.
Kamerkar S. LeBleu V. S. Sugimoto H. Yang S. Ruivo C. F. Melo S. A. (2017 ). Exosomes facilitate therapeutic targeting of oncogenic KRAS in pancreatic cancer. Nature 546 498–503.
Not in our library10.1038/nature22341
- 197.
- 198.
Kaur S. Singh S. P. Elkahloun A. G. Wu W. Abu-Asab M. S. Roberts D. D. (2014 ). CD47-dependent immunomodulatory and angiogenic activities of extracellular vesicles produced by T cells. Matrix Biol. 37 49–59.
Not in our library10.1016/j.matbio.2014.05.007
- 199.
Kennedy T. L. Russell A. J. Riley P. (2020 ). Experimental limitations of extracellular vesicle-based therapies for the treatment of myocardial infarction. Trends Cardiovasc. Med. [Preprint].
Not in our library10.1016/j.tcm.2020.08.003
- 200.
Kidd S. Spaeth E. Dembinski J. L. Dietrich M. Watson K. Klopp A. (2009 ). Direct evidence of mesenchymal stem cell tropism for tumor and wounding microenvironments using in vivo bioluminescent imaging. Stem Cells 27 2614–2623.
Not in our library10.1002/stem.187
- 201.
Kim D. K. Lee S. Kim M. Jeong Y. Lee S. (2021 ). Exosome-coated silk fibroin 3D-scaffold for inducing osteogenic differentiation of bone marrow derived mesenchymal stem cells. Chem. Engine. J. 406: 127080.
Not in our library
- 202.
Kim H. Y. Kumar H. Jo M. J. Kim J. Yoon J. K. Lee J. R. (2018 ). Therapeutic Efficacy-Potentiated and Diseased Organ-Targeting Nanovesicles Derived from Mesenchymal Stem Cells for Spinal Cord Injury Treatment. Nano Lett. 18 4965–4975.
Not in our library10.1021/acs.nanolett.8b01816
- 203.
Kim H. Kim D. Nam H. Moon S. Kwon Y. J. Lee J. B. (2020 ). Engineered extracellular vesicles and their mimetics for clinical translation. Methods 177 80–94.
Not in our library10.1016/j.ymeth.2019.10.005
- 204.
Kim M. S. Haney M. J. Zhao Y. Mahajan V. Deygen I. Klyachko N. L. (2016 ). Development of exosome-encapsulated paclitaxel to overcome MDR in cancer cells. Nanomedicine 12 655–664.
Not in our library10.1016/j.nano.2015.10.012
- 205.
Kim M. S. Haney M. J. Zhao Y. Yuan D. Deygen I. Klyachko N. L. (2018 ). Engineering macrophage-derived exosomes for targeted paclitaxel delivery to pulmonary metastases: in vitro and in vivo evaluations. Nanomedicine 14 195–204.
Not in our library10.1016/j.nano.2017.09.011
- 206.
Kim R. Lee S. Lee J. Kim M. Kim W. J. Lee H. W. (2018 ). Exosomes derived from microRNA-584 transfected mesenchymal stem cells: novel alternative therapeutic vehicles for cancer therapy. BMB Rep. 51 406–411.
Not in our library10.5483/bmbrep.2018.51.8.105
- 207.
Kobayashi M. Sawada K. Miyamoto M. Shimizu A. Yamamoto M. Kinose Y. (2020 ). Exploring the potential of engineered exosomes as delivery systems for tumor-suppressor microRNA replacement therapy in ovarian cancer. Biochem. Biophys. Res. Commun. 527 153–161.
Not in our library10.1016/j.bbrc.2020.04.076
- 208.
- 209.
Kompa A. R. Greening D. W. Kong A. M. McMillan P. J. Fang H. Saxena R. (2021 ). Sustained subcutaneous delivery of secretome of human cardiac stem cells promotes cardiac repair following myocardial infarction. Cardiovasc. Res. 117 918–929.
Not in our library10.1093/cvr/cvaa088
- 210.
Kooijmans S. A. A. de Jong O. G. Schiffelers R. M. (2021 ). Exploring interactions between extracellular vesicles and cells for innovative drug delivery system design. Adv. Drug Deliv. Rev. 173 252–278.
Not in our library10.1016/j.addr.2021.03.017
- 211.
Kooijmans S. A. A. Fliervoet L. A. L. van der Meel R. Fens M. Heijnen H. F. G. van Bergen En Henegouwen P. M. P. (2016 ). PEGylated and targeted extracellular vesicles display enhanced cell specificity and circulation time. J. Control. Release 224 77–85.
Not in our library10.1016/j.jconrel.2016.01.009
- 212.
Kordelas L. Rebmann V. Ludwig A. K. Radtke S. Ruesing J. Doeppner T. R. (2014 ). MSC-derived exosomes: a novel tool to treat therapy-refractory graft-versus-host disease. Leukemia 28 970–973.
Not in our library10.1038/leu.2014.41
- 213.
Kotoucek J. Hubatka F. Masek J. Kulich P. Velinska K. Bezdekova J. (2020 ). Preparation of nanoliposomes by microfluidic mixing in herring-bone channel and the role of membrane fluidity in liposomes formation. Sci. Rep. 10:5595.
Not in our library10.1038/s41598-020-62500-2
- 214.
Kowal J. Arras G. Colombo M. Jouve M. Morath J. P. Primdal-Bengtson B. (2016 ). Proteomic comparison defines novel markers to characterize heterogeneous populations of extracellular vesicle subtypes. Proc. Natl. Acad. Sci. U.S.A. 113 E968–E977.
Not in our library10.1073/pnas.1521230113
- 215.
- 216.
Kugeratski F. G. Hodge K. Lilla S. McAndrews K. M. Zhou X. Hwang R. F. (2021 ). Quantitative proteomics identifies the core proteome of exosomes with syntenin-1 as the highest abundant protein and a putative universal biomarker. Nat. Cell Biol. 23 631–641.
Not in our library10.1038/s41556-021-00693-y
- 217.
Kuhn T. Koch M. Fuhrmann G. (2020 ). Probiomimetics-Novel Lactobacillus-Mimicking Microparticles Show Anti-Inflammatory and Barrier-Protecting Effects in Gastrointestinal Models. Small 16:e2003158.
Not in our library10.1002/smll.202003158
- 218.
- 219.
Kwon Y. J. (2020 ). Extracellular vesicles (EVs): Comprehensive packages with promises and complications for clinical translation and commercialization. Methods 177:1.
Not in our library10.1016/j.ymeth.2020.03.001
- 220.
Lai C. P. Mardini O. Ericsson M. Prabhakar S. Maguire C. Chen J. W. (2014 ). Dynamic biodistribution of extracellular vesicles in vivo using a multimodal imaging reporter. ACS Nano 8 483–494.
Not in our library10.1021/nn404945r
- 221.
Lambshead J. W. Meagher L. Goodwin J. Labonne T. Ng E. Elefanty A. (2018 ). Long-Term Maintenance of Human Pluripotent Stem Cells on cRGDfK-Presenting Synthetic Surfaces. Sci. Rep. 8:701.
Not in our library10.1038/s41598-018-19209-0
- 222.
Lamparski H. G. Metha-Damani A. Yao J. Y. Patel S. Hsu D. H. Ruegg C. (2002 ). Production and characterization of clinical grade exosomes derived from dendritic cells. J. Immunol. Methods 270 211–226.
Not in our library10.1016/s0022-1759(02)00330-7
- 223.
Lara P. Chan A. B. Cruz L. J. Quest A. F. G. Kogan M. J. (2020 ). Exploiting the Natural Properties of Extracellular Vesicles in Targeted Delivery towards Specific Cells and Tissues. Pharmaceutics 12:1022.
Not in our library10.3390/pharmaceutics12111022
- 224.
- 225.
Lazaro-Ibanez E. Faruqu F. N. Saleh A. F. Silva A. M. Tzu-Wen Wang J. Rak J. (2021 ). Selection of Fluorescent, Bioluminescent, and Radioactive Tracers to Accurately Reflect Extracellular Vesicle Biodistribution in Vivo. ACS Nano 15 3212–3227.
Not in our library10.1021/acsnano.0c09873
- 226.
Le Saux S. Aarrass H. Lai-Kee-Him J. Bron P. Armengaud J. Miotello G. (2020 ). Post-production modifications of murine mesenchymal stem cell (mMSC) derived extracellular vesicles (EVs) and impact on their cellular interaction. Biomaterials 231:119675.
Not in our library10.1016/j.biomaterials.2019.119675
- 227.
Lee E. Y. Park K. S. Yoon Y. J. Lee J. Moon H. G. Jang S. C. (2012 ). Therapeutic effects of autologous tumor-derived nanovesicles on melanoma growth and metastasis. PLoS One 7:e33330.
Not in our library10.1371/journal.pone.0033330
- 228.
Leftin A. Molugu T. R. Job C. Beyer K. Brown M. F. (2014 ). Area per lipid and cholesterol interactions in membranes from separated local-field (13)C NMR spectroscopy. Biophys J. 107 2274–2286.
Not in our library10.1016/j.bpj.2014.07.044
- 229.
Lehrich B. M. Liang Y. Fiandaca M. S. (2021 ). Foetal bovine serum influence on in vitro extracellular vesicle analyses. J. Extracell. Vesicles 10:e12061.
Not in our library10.1002/jev2.12061
- 230.
Lener T. Gimona M. Aigner L. Borger V. Buzas E. Camussi G. (2015 ). Applying extracellular vesicles based therapeutics in clinical trials - an ISEV position paper. J. Extracell. Vesicles 4:30087.
Not in our library10.3402/jev.v4.30087
- 231.
Lewis N. D. Sia C. L. Kirwin K. Haupt S. Mahimkar G. Zi T. (2021 ). Exosome Surface Display of IL12 Results in Tumor-Retained Pharmacology with Superior Potency and Limited Systemic Exposure Compared with Recombinant IL12. Mol. Cancer Ther. 20 523–534.
Not in our library10.1158/1535-7163.mct-20-0484
- 232.
Li C. Deng C. Zhou T. Hu J. Dai B. Yi F. (2021a ). MicroRNA-370 carried by M2 macrophage-derived exosomes alleviates asthma progression through inhibiting the FGF1/MAPK/STAT1 axis. Int. J. Biol. Sci. 17 1795–1807.
Not in our library10.7150/ijbs.59715
- 233.
- 234.
Li G. Q. Fang Y. X. Liu Y. Meng F. R. Wu X. Zhang C. W. (2021b ). MicroRNA-21 from bone marrow mesenchymal stem cell-derived extracellular vesicles targets TET1 to suppress KLF4 and alleviate rheumatoid arthritis. Ther. Adv. Chronic. Dis. 12:20406223211007369.
Not in our library10.1177/20406223211007369
- 235.
Li J. Lee Y. Johansson H. J. Mager I. Vader P. Nordin J. Z. (2015 ). Serum-free culture alters the quantity and protein composition of neuroblastoma-derived extracellular vesicles. J. Extracell. Vesicles 4:26883.
Not in our library10.3402/jev.v4.26883
- 236.
Li J. Zhang Y. Liu Y. Dai X. Li W. Cai X. (2013 ). Microvesicle-mediated transfer of microRNA-150 from monocytes to endothelial cells promotes angiogenesis. J. Biol. Chem. 288 23586–23596.
Not in our library10.1074/jbc.m113.489302
- 237.
Li L. Lu S. Liang X. Cao B. Wang S. Jiang J. (2019 ). gammadeltaTDEs: An Efficient Delivery System for miR-138 with Anti-tumoral and Immunostimulatory Roles on Oral Squamous Cell Carcinoma. Mol. Ther. Nucleic Acids 14 101–113.
Not in our library10.1016/j.omtn.2018.11.009
- 238.
Li L. Zhang Y. Mu J. Chen J. Zhang C. Cao H. (2020 ). Transplantation of Human Mesenchymal Stem-Cell-Derived Exosomes Immobilized in an Adhesive Hydrogel for Effective Treatment of Spinal Cord Injury. Nano Lett. 20 4298–4305.
Not in our library10.1021/acs.nanolett.0c00929
- 239.
Li Q. Song Y. Wang Q. Chen J. Gao J. Tan H. (2021c ). Engineering extracellular vesicles with platelet membranes fusion enhanced targeted therapeutic angiogenesis in a mouse model of myocardial ischemia reperfusion. Theranostics 11 3916–3931.
Not in our library10.7150/thno.52496
- 240.
Li Q. Xu Y. Lv K. Wang Y. Zhong Z. Xiao C. (2021d ). Small extracellular vesicles containing miR-486-5p promote angiogenesis after myocardial infarction in mice and nonhuman primates. Sci. Transl. Med. 13:eabb0202.
Not in our library10.1126/scitranslmed.abb0202
- 241.
- 242.
Li Y. J. Wu J. Y. Wang J. M. Hu X. B. Cai J. X. Xiang D. X. (2020 ). Gemcitabine loaded autologous exosomes for effective and safe chemotherapy of pancreatic cancer. Acta Biomater. 101 519–530.
Not in our library10.1016/j.actbio.2019.10.022
- 243.
- 244.
Liang X. Zhang L. Wang S. Han Q. Zhao R. C. (2016 ). Exosomes secreted by mesenchymal stem cells promote endothelial cell angiogenesis by transferring miR-125a. J. Cell Sci. 129 2182–2189.
Not in our library10.1242/jcs.170373
- 245.
- 246.
Lievens D. Zernecke A. Seijkens T. Soehnlein O. Beckers L. Munnix I. C. (2010 ). Platelet CD40L mediates thrombotic and inflammatory processes in atherosclerosis. Blood 116 4317–4327.
Not in our library10.1182/blood-2010-01-261206
- 247.
- 248.
- 249.
- 250.
Lindemann R. A. (1989 ). Roles of interferon and cellular adhesion molecules in bacterial activation of human natural killer cells. Infect. Immun. 57 1702–1706.
Not in our library10.1128/iai.57.6.1702-1706.1989
- 251.
Liu C. Quan P. Fang L. (2016 ). Effect of drug physicochemical properties on drug release and their relationship with drug skin permeation behaviors in hydroxyl pressure sensitive adhesive. Eur. J. Pharm. Sci. 93 437–446.
Not in our library10.1016/j.ejps.2016.08.048
- 252.
Liu H. Gao W. Yuan J. Wu C. Yao K. Zhang L. (2016 ). Exosomes derived from dendritic cells improve cardiac function via activation of CD4(+) T lymphocytes after myocardial infarction. J. Mol. Cell Cardiol. 91 123–133.
Not in our library10.1016/j.yjmcc.2015.12.028
- 253.
Liu X. Zhang M. Liu H. Zhu R. He H. Zhou Y. (2021 ). Bone marrow mesenchymal stem cell-derived exosomes attenuate cerebral ischemia-reperfusion injury-induced neuroinflammation and pyroptosis by modulating microglia M1/M2 phenotypes. Exp. Neurol. 341:113700.
Not in our library10.1016/j.expneurol.2021.113700
- 254.
Lobb R. J. Becker M. Wen S. W. Wong C. S. Wiegmans A. P. Leimgruber A. (2015 ). Optimized exosome isolation protocol for cell culture supernatant and human plasma. J. Extracell. Vesicles 4:27031.
Not in our library10.3402/jev.v4.27031
- 255.
Lobb R. J. Hastie M. L. Norris E. L. van Amerongen R. Gorman J. J. Moller A. (2017 ). Oncogenic transformation of lung cells results in distinct exosome protein profile similar to the cell of origin. Proteomics 17:201600432.
Not in our library10.1002/pmic.201600432
- 256.
Lou P. Liu S. Xu X. Pan C. Lu Y. Liu J. (2021 ). Extracellular vesicle-based therapeutics for the regeneration of chronic wounds: current knowledge and future perspectives. Acta Biomater. 119 42–56.
Not in our library10.1016/j.actbio.2020.11.001
- 257.
Low L. A. Mummery C. Berridge B. R. Austin C. P. Tagle D. A. (2021 ). Organs-on-chips: into the next decade. Nat. Rev. Drug Discov. 20 345–361.
Not in our library10.1038/s41573-020-0079-3
- 258.
Luan X. Sansanaphongpricha K. Myers I. Chen H. Yuan H. Sun D. (2017 ). Engineering exosomes as refined biological nanoplatforms for drug delivery. Acta Pharmacol. Sin. 38 754–763.
Not in our library10.1038/aps.2017.12
- 259.
Luga V. Zhang L. Viloria-Petit A. M. Ogunjimi A. A. Inanlou M. R. Chiu E. (2012 ). Exosomes mediate stromal mobilization of autocrine Wnt-PCP signaling in breast cancer cell migration. Cell 151 1542–1556.
Not in our library10.1016/j.cell.2012.11.024
- 260.
Luk B. T. Fang R. H. Hu C. M. Copp J. A. Thamphiwatana S. Dehaini D. (2016 ). Safe and Immunocompatible Nanocarriers Cloaked in RBC Membranes for Drug Delivery to Treat Solid Tumors. Theranostics 6 1004–1011.
Not in our library10.7150/thno.14471
- 261.
- 262.
- 263.
Ma Q. Fan Q. Xu J. Bai J. Han X. Dong Z. (2020 ). Calming Cytokine Storm in Pneumonia by Targeted Delivery of TPCA-1 Using Platelet-Derived Extracellular Vesicles. Matter 3 287–301.
Not in our library10.1016/j.matt.2020.05.017
- 264.
- 265.
MacParland S. A. Tsoi K. M. Ouyang B. Ma X. Z. Manuel J. Fawaz A. (2017 ). Phenotype Determines Nanoparticle Uptake by Human Macrophages from Liver and Blood. ACS Nano 11 2428–2443.
Not in our library10.1021/acsnano.6b06245
- 266.
Mahaweni N. M. Kaijen-Lambers M. E. Dekkers J. Aerts J. G. Hegmans J. P. (2013 ). Tumour-derived exosomes as antigen delivery carriers in dendritic cell-based immunotherapy for malignant mesothelioma. J. Extracell. Vesicles 2013:22492.
Not in our library10.3402/jev.v2i0.22492
- 267.
Makridakis M. Kontostathi G. Petra E. Stroggilos R. Lygirou V. Filip S. (2020 ). Multiplexed MRM-based protein quantification of putative prognostic biomarkers for chronic kidney disease progression in plasma. Sci. Rep. 10:4815.
Not in our library10.1038/s41598-020-61496-z
- 268.
- 269.
Mardpour S. Ghanian M. H. Sadeghi-Abandansari H. Mardpour S. Nazari A. Shekari F. (2019 ). Hydrogel-Mediated Sustained Systemic Delivery of Mesenchymal Stem Cell-Derived Extracellular Vesicles Improves Hepatic Regeneration in Chronic Liver Failure. ACS Appl. Mater. Interf. 11 37421–37433.
Not in our library10.1021/acsami.9b10126
- 270.
- 271.
Martin-Jaular L. Nevo N. Schessner J. P. Tkach M. Jouve M. Dingli F. (2021 ). Unbiased proteomic profiling of host cell extracellular vesicle composition and dynamics upon HIV-1 infection. EMBO J. 40:e105492.
Not in our library10.15252/embj.2020105492
- 272.
Martins A. M. Ramos C. C. Freitas D. Reis C. A. (2021 ). Glycosylation of Cancer Extracellular Vesicles: Capture Strategies, Functional Roles and Potential Clinical Applications. Cells 10:109.
Not in our library10.3390/cells10010109
- 273.
Mathieu M. Martin-Jaular L. Lavieu G. Thery C. (2019 ). Specificities of secretion and uptake of exosomes and other extracellular vesicles for cell-to-cell communication. Nat. Cell Biol. 21 9–17.
Not in our library10.1038/s41556-018-0250-9
- 274.
Mattera V. S. Pereyra Gerber P. Glisoni R. Ostrowski M. Verstraeten S. V. Pasquini J. M. (2020 ). Extracellular vesicles containing the transferrin receptor as nanocarriers of apotransferrin. J. Neurochem. 155 327–338.
Not in our library10.1111/jnc.15019
- 275.
Melo S. A. Luecke L. B. Kahlert C. Fernandez A. F. Gammon S. T. Kaye J. (2015 ). Glypican-1 identifies cancer exosomes and detects early pancreatic cancer. Nature 523 177–182.
Not in our library10.1038/nature14581
- 276.
Melocchi A. Uboldi M. Cerea M. Foppoli A. Maroni A. Moutaharrik S. (2021 ). Shape memory materials and 4D printing in pharmaceutics. Adv. Drug Deliv. Rev. 173 216–237.
Not in our library10.1016/j.addr.2021.03.013
- 277.
Mendt M. Kamerkar S. Sugimoto H. McAndrews K. M. Wu C. C. Gagea M. (2018 ). Generation and testing of clinical-grade exosomes for pancreatic cancer. JCI Insight 3:e99263.
Not in our library10.1172/jci.insight.99263
- 278.
- 279.
Meng Y. Asghari M. Aslan M. K. Yilmaz A. Mateescu B. Stavrakis S. (2021 ). Microfluidics for extracellular vesicle separation and mimetic synthesis: Recent advances and future perspectives. Chem. Enginee. J. 404:126110.
Not in our library
- 280.
- 281.
- 282.
- 283.
Miksa M. Wu R. Dong W. Komura H. Amin D. Ji Y. (2009 ). Immature dendritic cell-derived exosomes rescue septic animals via milk fat globule epidermal growth factor-factor VIII [corrected]. J. Immunol. 183 5983–5990.
Not in our library10.4049/jimmunol.0802994
- 284.
Millan C. Prause L. Vallmajo-Martin Q. Hensky N. Eberli D. (2021 ). Extracellular Vesicles from 3D Engineered Microtissues Harbor Disease-Related Cargo Absent in EVs from 2D Cultures. Adv. Healthc. Mater. 2021:e2002067.
Not in our library10.1002/adhm.202002067
- 285.
Mitchell J. P. Court J. Mason M. D. Tabi Z. Clayton A. (2008 ). Increased exosome production from tumour cell cultures using the Integra CELLine Culture System. J. Immunol. Methods 335 98–105.
Not in our library10.1016/j.jim.2008.03.001
- 286.
Mitchell M. J. Billingsley M. M. Haley R. M. Wechsler M. E. Peppas N. A. Langer R. (2021 ). Engineering precision nanoparticles for drug delivery. Nat. Rev. Drug Discov. 20 101–124.
Not in our library10.1038/s41573-020-0090-8
- 287.
- 288.
Mitrani M. I. Bellio M. A. Sagel A. Saylor M. Kapp W. VanOsdol K. (2021 ). Case Report: Administration of Amniotic Fluid-Derived Nanoparticles in Three Severely Ill COVID-19 Patients. Front. Med. 8:583842.
Not in our library10.3389/fmed.2021.583842
- 289.
Mittelbrunn M. Gutierrez-Vazquez C. Villarroya-Beltri C. Gonzalez S. Sanchez-Cabo F. Gonzalez M. A. (2011 ). Unidirectional transfer of microRNA-loaded exosomes from T cells to antigen-presenting cells. Nat. Commun. 2:282.
Not in our library10.1038/ncomms1285
- 290.
Molinaro R. Corbo C. Martinez J. O. Taraballi F. Evangelopoulos M. Minardi S. (2016 ). Biomimetic proteolipid vesicles for targeting inflamed tissues. Nat. Mater. 15 1037–1046.
Not in our library10.1038/nmat4644
- 291.
- 292.
Munagala R. Aqil F. Jeyabalan J. Kandimalla R. Wallen M. Tyagi N. (2021 ). Exosome-mediated delivery of RNA and DNA for gene therapy. Cancer Lett. 505 58–72.
Not in our library10.1016/j.canlet.2021.02.011
- 293.
- 294.
Nabet B. Y. Qiu Y. Shabason J. E. Wu T. J. Yoon T. Kim B. C. (2017 ). Exosome RNA Unshielding Couples Stromal Activation to Pattern Recognition Receptor Signaling in Cancer. Cell 170 352–366e313.
Not in our library10.1016/j.cell.2017.06.031
- 295.
Nagelkerke A. Ojansivu M. van der Koog L. Whittaker T. E. Cunnane E. M. Silva A. M. (2021 ). Extracellular vesicles for tissue repair and regeneration: Evidence, challenges and opportunities. Adv. Drug Deliv. Rev. 175:113775.
Not in our library10.1016/j.addr.2021.04.013
- 296.
Nakamizo A. Marini F. Amano T. Khan A. Studeny M. Gumin J. (2005 ). Human bone marrow-derived mesenchymal stem cells in the treatment of gliomas. Cancer Res. 65 3307–3318.
Not in our library10.1158/0008-5472.can-04-1874
- 297.
Narita M. Kanda T. Abe T. Uchiyama T. Iwafuchi M. Zheng Z. (2015 ). Immune responses in patients with esophageal cancer treated with SART1 peptide-pulsed dendritic cell vaccine. Int. J. Oncol. 46 1699–1709.
Not in our library10.3892/ijo.2015.2846
- 298.
Nasiri Kenari A. Cheng L. Hill A. F. (2020 ). Methods for loading therapeutics into extracellular vesicles and generating extracellular vesicles mimetic-nanovesicles. Methods 177 103–113.
Not in our library10.1016/j.ymeth.2020.01.001
- 299.
Nasiri Kenari A. Kastaniegaard K. Greening D. W. Shambrook M. Stensballe A. Cheng L. (2019 ). Proteomic and Post-Translational Modification Profiling of Exosome-Mimetic Nanovesicles Compared to Exosomes. Proteomics 19:e1800161.
Not in our library10.1002/pmic.201800161
- 300.
Nazarenko I. Rana S. Baumann A. McAlear J. Hellwig A. Trendelenburg M. (2010 ). Cell surface tetraspanin Tspan8 contributes to molecular pathways of exosome-induced endothelial cell activation. Cancer Res. 70 1668–1678.
Not in our library10.1158/0008-5472.can-09-2470
- 301.
Nazimek K. Bryniarski K. (2020 ). Perspectives in Manipulating EVs for Therapeutic Applications: Focus on Cancer Treatment. Int. J. Mol. Sci. 21:4623.
Not in our library10.3390/ijms21134623
- 302.
Needham D. Nunn R. S. (1990 ). Elastic deformation and failure of lipid bilayer membranes containing cholesterol. Biophys. J. 58 997–1009.
Not in our library10.1016/s0006-3495(90)82444-9
- 303.
Nele V. Holme M. N. Kauscher U. Thomas M. R. Doutch J. J. Stevens M. M. (2019 ). Effect of Formulation Method, Lipid Composition, and PEGylation on Vesicle Lamellarity: A Small-Angle Neutron Scattering Study. Langmuir 35 6064–6074.
Not in our library10.1021/acs.langmuir.8b04256
- 304.
Nelson B. C. Maragh S. Ghiran I. C. Jones J. C. DeRose P. C. Elsheikh E. (2020 ). Measurement and standardization challenges for extracellular vesicle therapeutic delivery vectors. Nanomedicine 15 2149–2170.
Not in our library10.2217/nnm-2020-0206
- 305.
- 306.
- 307.
Niada S. Giannasi C. Gomarasca M. Stanco D. Casati S. Brini A. T. (2019 ). Adipose-derived stromal cell secretome reduces TNFalpha-induced hypertrophy and catabolic markers in primary human articular chondrocytes. Stem Cell Res. 38:101463.
Not in our library10.1016/j.scr.2019.101463
- 308.
Niemela P. Hyvonen M. T. Vattulainen I. (2004 ). Structure and dynamics of sphingomyelin bilayer: insight gained through systematic comparison to phosphatidylcholine. Biophys. J. 87 2976–2989.
Not in our library10.1529/biophysj.104.048702
- 309.
Nieuwland R. Falcon-Perez J. M. Thery C. Witwer K. W. (2020 ). Rigor and standardization of extracellular vesicle research: Paving the road towards robustness. J. Extracell. Vesicles 10:e12037.
Not in our library10.1002/jev2.12037
- 310.
- 311.
Niu W. Xiao Q. Wang X. Zhu J. Li J. Liang X. (2021 ). A Biomimetic Drug Delivery System by Integrating Grapefruit Extracellular Vesicles and Doxorubicin-Loaded Heparin-Based Nanoparticles for Glioma Therapy. Nano Lett. 21 1484–1492.
Not in our library10.1021/acs.nanolett.0c04753
- 312.
No Author (2010 ). Mechanism matters. Nat. Med. 16:347.
Not in our library10.1038/nm0410-347
- 313.
Obregon C. Rothen-Rutishauser B. Gerber P. Gehr P. Nicod L. P. (2009 ). Active uptake of dendritic cell-derived exovesicles by epithelial cells induces the release of inflammatory mediators through a TNF-alpha-mediated pathway. Am. J. Pathol. 175 696–705.
Not in our library10.2353/ajpath.2009.080716
- 314.
O’Brien K. Breyne K. Ughetto S. Laurent L. C. Breakefield X. O. (2020 ). RNA delivery by extracellular vesicles in mammalian cells and its applications. Nat. Rev. Mol. Cell Biol. 21 585–606.
Not in our library10.1038/s41580-020-0251-y
- 315.
O’Farrell N. Houlton A. Horrocks B. R. (2006 ). Silicon nanoparticles: applications in cell biology and medicine. Int. J. Nanomed. 1 451–472.
Not in our library10.2147/nano.2006.1.4.451
- 316.
Oh K. Kim S. R. Kim D. K. Seo M. W. Lee C. Lee H. M. (2015 ). In Vivo Differentiation of Therapeutic Insulin-Producing Cells from Bone Marrow Cells via Extracellular Vesicle-Mimetic Nanovesicles. ACS Nano 9 11718–11727.
Not in our library10.1021/acsnano.5b02997
- 317.
Ohno S. Takanashi M. Sudo K. Ueda S. Ishikawa A. Matsuyama N. (2013 ). Systemically injected exosomes targeted to EGFR deliver antitumor microRNA to breast cancer cells. Mol. Ther. 21 185–191.
Not in our library10.1038/mt.2012.180
- 318.
Oksvold M. P. Kullmann A. Forfang L. Kierulf B. Li M. Brech A. (2014 ). Expression of B-cell surface antigens in subpopulations of exosomes released from B-cell lymphoma cells. Clin. Ther. 36 847–862e841.
Not in our library10.1016/j.clinthera.2014.05.010
- 319.
Ono R. Yasuhiko Y. Aisaki K. I. Kitajima S. Kanno J. Hirabayashi Y. (2019 ). Exosome-mediated horizontal gene transfer occurs in double-strand break repair during genome editing. Commun. Biol. 2:57.
Not in our library10.1038/s42003-019-0300-2
- 320.
- 321.
Ou Y. H. Liang J. Czarny B. Wacker M. G. Yu V. Wang J. W. (2021 ). Extracellular Vesicle (EV) biohybrid systems for cancer therapy: Recent advances and future perspectives. Semin. Cancer Biol. [Preprint].
Not in our library10.1016/j.semcancer.2021.02.006
- 322.
Ouyang T. Liu X. Ouyang H. Ren L. (2018 ). Recent trends in click chemistry as a promising technology for virus-related research. Virus Res. 256 21–28.
Not in our library10.1016/j.virusres.2018.08.003
- 323.
Ozturk S. Elcin A. E. Koca A. Elcin Y. M. (2021 ). Therapeutic Applications of Stem Cells and Extracellular Vesicles in Emergency Care: Futuristic Perspectives. Stem Cell Rev. Rep. 17 390–410.
Not in our library10.1007/s12015-020-10029-2
- 324.
Paganini C. Capasso Palmiero U. Pocsfalvi G. Touzet N. Bongiovanni A. Arosio P. (2019 ). Scalable Production and Isolation of Extracellular Vesicles: Available Sources and Lessons from Current Industrial Bioprocesses. Biotechnol. J. 14:e1800528.
Not in our library10.1002/biot.201800528
- 325.
Palmulli R. van Niel G. (2018 ). To be or not to be secreted as exosomes, a balance finely tuned by the mechanisms of biogenesis. Essays Biochem. 62 177–191.
Not in our library10.1042/ebc20170076
- 326.
Palviainen M. Saari H. Karkkainen O. Pekkinen J. Auriola S. Yliperttula M. (2019 ). Metabolic signature of extracellular vesicles depends on the cell culture conditions. J. Extracell. Vesicles 8:1596669.
Not in our library10.1080/20013078.2019.1596669
- 327.
Park K. S. Sun X. Aikins M. E. Moon J. J. (2021 ). Non-viral COVID-19 vaccine delivery systems. Adv. Drug Deliv. Rev. 169 137–151.
Not in our library10.1016/j.addr.2020.12.008
- 328.
Parolini I. Federici C. Raggi C. Lugini L. Palleschi S. De Milito A. (2009 ). Microenvironmental pH is a key factor for exosome traffic in tumor cells. J. Biol. Chem. 284 34211–34222.
Not in our library10.1074/jbc.m109.041152
- 329.
- 330.
Patel S. Ashwanikumar N. Robinson E. DuRoss A. Sun C. Murphy-Benenato K. E. (2017 ). Boosting Intracellular Delivery of Lipid Nanoparticle-Encapsulated mRNA. Nano Lett. 17 5711–5718.
Not in our library10.1021/acs.nanolett.7b02664
- 331.
Pawlowski C. L. Li W. Sun M. Ravichandran K. Hickman D. Kos C. (2017 ). Platelet microparticle-inspired clot-responsive nanomedicine for targeted fibrinolysis. Biomaterials 128 94–108.
Not in our library10.1016/j.biomaterials.2017.03.012
- 332.
Peer D. Karp J. M. Hong S. Farokhzad O. C. Margalit R. Langer R. (2007 ). Nanocarriers as an emerging platform for cancer therapy. Nat. Nanotechnol. 2 751–760.
Not in our library10.1038/nnano.2007.387
- 333.
Pegtel D. M. Cosmopoulos K. Thorley-Lawson D. A. van Eijndhoven M. A. Hopmans E. S. Lindenberg J. L. (2010 ). Functional delivery of viral miRNAs via exosomes. Proc. Natl. Acad. Sci. U.S.A. 107 6328–6333.
Not in our library10.1073/pnas.0914843107
- 334.
Peinado H. Aleckovic M. Lavotshkin S. Matei I. Costa-Silva B. Moreno-Bueno G. (2012 ). Melanoma exosomes educate bone marrow progenitor cells toward a pro-metastatic phenotype through MET. Nat. Med. 18 883–891.
Not in our library10.1038/nm.2753
- 335.
Petersen S. H. Odintsova E. Haigh T. A. Rickinson A. B. Taylor G. S. Berditchevski F. (2011 ). The role of tetraspanin CD63 in antigen presentation via MHC class II. Eur. J. Immunol. 41 2556–2561.
Not in our library10.1002/eji.201141438
- 336.
Pham C. V. Midge S. Barua H. Zhang Y. Ngoc-Gia Nguyen T. Barrero R. A. (2021 ). Bovine extracellular vesicles contaminate human extracellular vesicles produced in cell culture conditioned medium when ‘exosome-depleted serum’ is utilised. Arch. Biochem. Biophys. 708:108963.
Not in our library10.1016/j.abb.2021.108963
- 337.
- 338.
Pinheiro A. Silva A. M. Teixeira J. H. Goncalves R. M. Almeida M. I. Barbosa M. A. (2018 ). Extracellular vesicles: intelligent delivery strategies for therapeutic applications. J. Control Release 289 56–69.
Not in our library10.1016/j.jconrel.2018.09.019
- 339.
Pirisinu M. Pham T. C. Zhang D. X. Hong T. N. Nguyen L. T. Le M. T. (2020 ). Extracellular vesicles as natural therapeutic agents and innate drug delivery systems for cancer treatment: Recent advances, current obstacles, and challenges for clinical translation. Semin. Cancer Biol. [Preprint].
Not in our library10.1016/j.semcancer.2020.08.007
- 340.
Plotnikov E. Y. Khryapenkova T. G. Galkina S. I. Sukhikh G. T. Zorov D. B. (2010 ). Cytoplasm and organelle transfer between mesenchymal multipotent stromal cells and renal tubular cells in co-culture. Exp. Cell Res. 316 2447–2455.
Not in our library10.1016/j.yexcr.2010.06.009
- 341.
Plotnikov E. Y. Khryapenkova T. G. Vasileva A. K. Marey M. V. Galkina S. I. Isaev N. K. (2008 ). Cell-to-cell cross-talk between mesenchymal stem cells and cardiomyocytes in co-culture. J. Cell Mol. Med. 12 1622–1631.
Not in our library10.1111/j.1582-4934.2007.00205.x
- 342.
Polak K. Greze N. Lachat M. Merle D. Chiumento S. Bertrand-Gaday C. (2020 ). Extracellular vesicle-based vaccine platform displaying native viral envelope proteins elicits a robust anti-SARS-CoV-2 response in mice. bioRxiv. [Preprint].
Not in our library
- 343.
Powell J. R. Cook J. Wang Y. Peck R. Weiner D. (2021 ). Drug Dosing Recommendations for All Patients: A Roadmap for Change. Clin. Pharmacol. Ther. 109 65–72.
Not in our library10.1002/cpt.1923
- 344.
Purushothaman A. Bandari S. K. Liu J. Mobley J. A. Brown E. E. Sanderson R. D. (2016 ). Fibronectin on the Surface of Myeloma Cell-derived Exosomes Mediates Exosome-Cell Interactions. J. Biol. Chem. 291 1652–1663.
Not in our library10.1074/jbc.m115.686295
- 345.
Puzar Dominkus P. Stenovec M. Sitar S. Lasic E. Zorec R. Plemenitas A. (2018 ). PKH26 labeling of extracellular vesicles: Characterization and cellular internalization of contaminating PKH26 nanoparticles. Biochim. Biophys. Acta Biomembr. 1860 1350–1361.
Not in our library10.1016/j.bbamem.2018.03.013
- 346.
Quah B. J. O’Neill H. C. (2007 ). Mycoplasma contaminants present in exosome preparations induce polyclonal B cell responses. J. Leukoc. Biol. 82 1070–1082.
Not in our library10.1189/jlb.0507277
- 347.
Rai A. Greening D. W. Xu R. Chen M. Suwakulsiri W. Simpson R. J. (2021 ). Secreted midbody remnants are a class of extracellular vesicles molecularly distinct from exosomes and microparticles. Commun. Biol. 4:400.
Not in our library10.1038/s42003-021-01882-z
- 348.
Rana S. Claas C. Kretz C. C. Nazarenko I. Zoeller M. (2011 ). Activation-induced internalization differs for the tetraspanins CD9 and Tspan8: Impact on tumor cell motility. Int. J. Biochem. Cell Biol. 43 106–119.
Not in our library10.1016/j.biocel.2010.10.002
- 349.
Rani S. Ryan A. E. Griffin M. D. Ritter T. (2015 ). Mesenchymal Stem Cell-derived Extracellular Vesicles: Toward Cell-free Therapeutic Applications. Mol. Ther. 23 812–823.
Not in our library10.1038/mt.2015.44
- 350.
- 351.
Rao L. Bu L. L. Xu J. H. Cai B. Yu G. T. Yu X. (2015 ). Red Blood Cell Membrane as a Biomimetic Nanocoating for Prolonged Circulation Time and Reduced Accelerated Blood Clearance. Small 11 6225–6236.
Not in our library10.1002/smll.201502388
- 352.
- 353.
Rao Q. Zuo B. Lu Z. Gao X. You A. Wu C. (2016 ). Tumor-derived exosomes elicit tumor suppression in murine hepatocellular carcinoma models and humans in vitro. Hepatology 64 456–472.
Not in our library10.1002/hep.28549
- 354.
Rappazzo C. G. Watkins H. C. Guarino C. M. Chau A. Lopez J. L. DeLisa M. P. (2016 ). Recombinant M2e outer membrane vesicle vaccines protect against lethal influenza A challenge in BALB/c mice. Vaccine 34 1252–1258.
Not in our library10.1016/j.vaccine.2016.01.028
- 355.
Ratajczak J. Miekus K. Kucia M. Zhang J. Reca R. Dvorak P. (2006 ). Embryonic stem cell-derived microvesicles reprogram hematopoietic progenitors: evidence for horizontal transfer of mRNA and protein delivery. Leukemia 20 847–856.
Not in our library10.1038/sj.leu.2404132
- 356.
Rayamajhi S. Aryal S. (2020 ). Surface functionalization strategies of extracellular vesicles. J. Mater. Chem. B 8 4552–4569.
Not in our library10.1039/d0tb00744g
- 357.
Rayamajhi S. Nguyen T. D. T. Marasini R. Aryal S. (2019 ). Macrophage-derived exosome-mimetic hybrid vesicles for tumor targeted drug delivery. Acta Biomater. 94 482–494.
Not in our library10.1016/j.actbio.2019.05.054
- 358.
- 359.
Rezaei R. Baghaei K. Hashemi S. M. Zali M. R. Ghanbarian H. Amani D. (2021 ). Tumor-Derived Exosomes Enriched by miRNA-124 Promote Anti-tumor Immune Response in CT-26 Tumor-Bearing Mice. Front. Med. 8:619939.
Not in our library10.3389/fmed.2021.619939
- 360.
Richter M. Vader P. Fuhrmann G. (2021 ). Approaches to surface engineering of extracellular vesicles. Adv. Drug Deliv. Rev. 173 416–426.
Not in our library10.1016/j.addr.2021.03.020
- 361.
Robbins P. D. Morelli A. E. (2014 ). Regulation of immune responses by extracellular vesicles. Nat. Rev. Immunol. 14 195–208.
Not in our library10.1038/nri3622
- 362.
Roberts T. C. Langer R. Wood M. J. A. (2020 ). Advances in oligonucleotide drug delivery. Nat. Rev. Drug Discov. 19 673–694.
Not in our library10.1038/s41573-020-0075-7
- 363.
- 364.
Rodrigues G. Hoshino A. Kenific C. M. Matei I. R. Steiner L. Freitas D. (2019 ). Tumour exosomal CEMIP protein promotes cancer cell colonization in brain metastasis. Nat. Cell Biol. 21 1403–1412.
Not in our library10.1038/s41556-019-0404-4
- 365.
Rodriguez P. L. Harada T. Christian D. A. Pantano D. A. Tsai R. K. Discher D. E. (2013 ). Minimal “Self” peptides that inhibit phagocytic clearance and enhance delivery of nanoparticles. Science 339 971–975.
Not in our library10.1126/science.1229568
- 366.
Roefs M. T. Sluijter J. P. G. Vader P. (2020 ). Extracellular Vesicle-Associated Proteins in Tissue Repair. Trends Cell Biol. 30 990–1013.
Not in our library10.1016/j.tcb.2020.09.009
- 367.
Rohde E. Pachler K. Gimona M. (2019 ). Manufacturing and characterization of extracellular vesicles from umbilical cord-derived mesenchymal stromal cells for clinical testing. Cytotherapy 21 581–592.
Not in our library10.1016/j.jcyt.2018.12.006
- 368.
Ronaldson-Bouchard K. Vunjak-Novakovic G. (2018 ). Organs-on-a-Chip: A Fast Track for Engineered Human Tissues in Drug Development. Cell Stem Cell 22 310–324.
Not in our library10.1016/j.stem.2018.02.011
- 369.
- 370.
- 371.
Russell A. E. Sneider A. Witwer K. W. Bergese P. Bhattacharyya S. N. Cocks A. (2019 ). Biological membranes in EV biogenesis, stability, uptake, and cargo transfer: an ISEV position paper arising from the ISEV membranes and EVs workshop. J. Extracell. Vesicles 8:1684862.
Not in our library10.1080/20013078.2019.1684862
- 372.
Saari H. Lazaro-Ibanez E. Viitala T. Vuorimaa-Laukkanen E. Siljander P. Yliperttula M. (2015 ). Microvesicle- and exosome-mediated drug delivery enhances the cytotoxicity of Paclitaxel in autologous prostate cancer cells. J. Control Release 220 727–737.
Not in our library10.1016/j.jconrel.2015.09.031
- 373.
Sabanovic B. Piva F. Cecati M. Giulietti M. (2021 ). Promising Extracellular Vesicle-Based Vaccines against Viruses, Including SARS-CoV-2. Biology 10:94.
Not in our library10.3390/biology10020094
- 374.
Saeedimasine M. Montanino A. Kleiven S. Villa A. (2019 ). Role of lipid composition on the structural and mechanical features of axonal membranes: a molecular simulation study. Sci. Rep. 9:8000.
Not in our library10.1038/s41598-019-44318-9
- 375.
- 376.
Salmond N. Williams K. C. (2021 ). Isolation and characterization of extracellular vesicles for clinical applications in cancer – time for standardization? Nanoscale Adv. 3 1830–1852.
Not in our library10.1039/d0na00676a
- 377.
Saludas L. Oliveira C. C. Roncal C. Ruiz-Villalba A. Prosper F. Garbayo E. (2021 ). Extracellular Vesicle-Based Therapeutics for Heart Repair. Nanomaterials 11:570.
Not in our library10.3390/nano11030570
- 378.
- 379.
Sasaki M. Abe R. Fujita Y. Ando S. Inokuma D. Shimizu H. (2008 ). Mesenchymal stem cells are recruited into wounded skin and contribute to wound repair by transdifferentiation into multiple skin cell type. J. Immunol. 180 2581–2587.
Not in our library10.4049/jimmunol.180.4.2581
- 380.
- 381.
Shafiq A. Suwakulsiri W. Rai A. Chen M. Greening D. W. Zhu H. J. (2021 ). Transglutaminase-2, RNA-binding proteins and mitochondrial proteins selectively traffic to MDCK cell-derived microvesicles following H-Ras-induced epithelial-mesenchymal transition. Proteomics 2021:e2000221.
Not in our library10.1002/pmic.202000221
- 382.
Shah V. M. Nguyen D. X. Patel P. Cote B. Al-Fatease A. Pham Y. (2019 ). Liposomes produced by microfluidics and extrusion: A comparison for scale-up purposes. Nanomedicine 18 146–156.
Not in our library10.1016/j.nano.2019.02.019
- 383.
Shao H. Im H. Castro C. M. Breakefield X. Weissleder R. Lee H. (2018 ). New Technologies for Analysis of Extracellular Vesicles. Chem. Rev. 118 1917–1950.
Not in our library10.1021/acs.chemrev.7b00534
- 384.
Sharma J. Hampton J. M. Valiente G. R. Wada T. Steigelman H. Young M. C. (2017 ). Therapeutic development of mesenchymal stem cells or their extracellular vesicles to inhibit autoimmune-mediated inflammatory processes in systemic lupus erythematosus. Front. Immunol. 8:526.
Not in our library10.3389/fimmu.2017.00526
- 385.
- 386.
Shehata M. M. Mostafa A. Teubner L. Mahmoud S. H. Kandeil A. Elshesheny R. (2019 ). Bacterial Outer Membrane Vesicles (OMVs)-based Dual Vaccine for Influenza A H1N1 Virus and MERS-CoV. Vaccines 7:46.
Not in our library10.3390/vaccines7020046
- 387.
- 388.
- 389.
Shi C. Ulke-Lemee A. Deng J. Batulan Z. O’Brien E. R. (2019 ). Characterization of heat shock protein 27 in extracellular vesicles: a potential anti-inflammatory therapy. FASEB J. 33 1617–1630.
Not in our library10.1096/fj.201800987r
- 390.
Shi X. Cheng Q. Zhang Y. (2020 ). Reprogramming extracellular vesicles with engineered proteins. Methods 177 95–102.
Not in our library10.1016/j.ymeth.2019.09.017
- 391.
- 392.
- 393.
Siddique H. R. (2016 ). CRSPR/CAS9 Technology: A Revolutionary Molecular Scissors for Genome Editing and Genetic Research. MOJ Cell Sci. Rep. 3:46.
Not in our library
- 394.
Skog J. Wurdinger T. van Rijn S. Meijer D. H. Gainche L. Sena-Esteves M. (2008 ). Glioblastoma microvesicles transport RNA and proteins that promote tumour growth and provide diagnostic biomarkers. Nat. Cell Biol. 10 1470–1476.
Not in our library10.1038/ncb1800
- 395.
- 396.
- 397.
Smith P. Quinn P. J. Lorenz C. D. (2020 ). Two Coexisting Membrane Structures Are Defined by Lateral and Transbilayer Interactions between Sphingomyelin and Cholesterol. Langmuir 36 9786–9799.
Not in our library10.1021/acs.langmuir.0c01237
- 398.
Smyth T. Kullberg M. Malik N. Smith-Jones P. Graner M. W. Anchordoquy T. J. (2015 ). Biodistribution and delivery efficiency of unmodified tumor-derived exosomes. J. Control Release 199 145–155.
Not in our library10.1016/j.jconrel.2014.12.013
- 399.
Smyth T. Petrova K. Payton N. M. Persaud I. Redzic J. S. Graner M. W. (2014 ). Surface functionalization of exosomes using click chemistry. Bioconjug. Chem. 25 1777–1784.
Not in our library10.1021/bc500291r
- 400.
Sobo-Vujanovic A. Munich S. Vujanovic N. L. (2014 ). Dendritic-cell exosomes cross-present Toll-like receptor-ligands and activate bystander dendritic cells. Cell Immunol. 289 119–127.
Not in our library10.1016/j.cellimm.2014.03.016
- 401.
Song Y. Dou H. Li X. Zhao X. Li Y. Liu D. (2017 ). Exosomal miR-146a Contributes to the Enhanced Therapeutic Efficacy of Interleukin-1beta-Primed Mesenchymal Stem Cells Against Sepsis. Stem Cells 35 1208–1221.
Not in our library10.1002/stem.2564
- 402.
Song Y. Huang Z. Liu X. Pang Z. Chen J. Yang H. (2019 ). Platelet membrane-coated nanoparticle-mediated targeting delivery of Rapamycin blocks atherosclerotic plaque development and stabilizes plaque in apolipoprotein E-deficient (ApoE(−/−)) mice. Nanomedicine 15 13–24.
Not in our library10.1016/j.nano.2018.08.002
- 403.
Spees J. L. Olson S. D. Whitney M. J. Prockop D. J. (2006 ). Mitochondrial transfer between cells can rescue aerobic respiration. Proc. Natl. Acad. Sci. U.S.A. 103 1283–1288.
Not in our library10.1073/pnas.0510511103
- 404.
Spellicy S. E. Kaiser E. E. Bowler M. M. Jurgielewicz B. J. Webb R. L. West F. D. (2020 ). Neural Stem Cell Extracellular Vesicles Disrupt Midline Shift Predictive Outcomes in Porcine Ischemic Stroke Model. Transl. Stroke Res. 11 776–788.
Not in our library10.1007/s12975-019-00753-4
- 405.
Sterzenbach U. Putz U. Low L. H. Silke J. Tan S. S. Howitt J. (2017 ). Engineered Exosomes as Vehicles for Biologically Active Proteins. Mol. Ther. 25 1269–1278.
Not in our library10.1016/j.ymthe.2017.03.030
- 406.
Suharta S. Barlian A. Hidajah A. C. Notobroto H. B. Ana I. D. Indariani S. (2021 ). Plant-derived exosome-like nanoparticles: A concise review on its extraction methods, content, bioactivities, and potential as functional food ingredient. J. Food Sci. [Preprint].
Not in our library10.1111/1750-3841.15787
- 407.
Suk J. S. Xu Q. Kim N. Hanes J. Ensign L. M. (2016 ). PEGylation as a strategy for improving nanoparticle-based drug and gene delivery. Adv. Drug Deliv. Rev. 99 28–51.
Not in our library10.1016/j.addr.2015.09.012
- 408.
- 409.
Surman M. Drozdz A. Stepien E. Przybylo M. (2019 ). Extracellular Vesicles as Drug Delivery Systems - Methods of Production and Potential Therapeutic Applications. Curr. Pharm. Des. 25 132–154.
Not in our library10.2174/1381612825666190306153318
- 410.
Swingle K. L. Hamilton A. G. Mitchell M. J. (2021 ). Lipid Nanoparticle-Mediated Delivery of mRNA Therapeutics and Vaccines. Trends Mol. Med. 27 616–617.
Not in our library10.1016/j.molmed.2021.03.003
- 411.
- 412.
Takahashi Y. Nishikawa M. Shinotsuka H. Matsui Y. Ohara S. Imai T. (2013 ). Visualization and in vivo tracking of the exosomes of murine melanoma B16-BL6 cells in mice after intravenous injection. J. Biotechnol. 165 77–84.
Not in our library10.1016/j.jbiotec.2013.03.013
- 413.
- 414.
Takenaka T. Nakai S. Katayama M. Hirano M. Ueno N. Noguchi K. (2019 ). Effects of gefitinib treatment on cellular uptake of extracellular vesicles in EGFR-mutant non-small cell lung cancer cells. Int. J. Pharm. 572:118762.
Not in our library10.1016/j.ijpharm.2019.118762
- 415.
- 416.
Tan J. L. Lau S. N. Leaw B. Nguyen H. P. T. Salamonsen L. A. Saad M. I. (2018 ). Amnion Epithelial Cell-Derived Exosomes Restrict Lung Injury and Enhance Endogenous Lung Repair. Stem Cells Transl. Med. 7 180–196.
Not in our library10.1002/sctm.17-0185
- 417.
- 418.
Tang Y. Wang X. Li J. Nie Y. Liao G. Yu Y. (2019 ). Overcoming the Reticuloendothelial System Barrier to Drug Delivery with a “Don’t-Eat-Us” Strategy. ACS Nano 13 13015–13026.
Not in our library10.1021/acsnano.9b05679
- 419.
Tauro B. J. Mathias R. A. Greening D. W. Gopal S. K. Ji H. Kapp E. A. (2013 ). Oncogenic H-ras reprograms Madin-Darby canine kidney (MDCK) cell-derived exosomal proteins following epithelial-mesenchymal transition. Mol Cell Proteom. 12 2148–2159.
Not in our library10.1074/mcp.m112.027086
- 420.
Tawil N. Bassawon R. Meehan B. Nehme A. Montermini L. Gayden T. (2021 ). Glioblastoma cell populations with distinct oncogenic programs release podoplanin as procoagulant extracellular vesicles. Blood Adv. 5 1682–1694.
Not in our library10.1182/bloodadvances.2020002998
- 421.
Thery C. Witwer K. W. Aikawa E. Alcaraz M. J. Anderson J. D. Andriantsitohaina R. (2018 ). Minimal information for studies of extracellular vesicles 2018 (MISEV2018): a position statement of the International Society for Extracellular Vesicles and update of the MISEV2014 guidelines. J. Extracell. Vesicles 7:1535750.
Not in our library10.1080/20013078.2018.1535750
- 422.
Thomou T. Mori M. A. Dreyfuss J. M. Konishi M. Sakaguchi M. Wolfrum C. (2017 ). Adipose-derived circulating miRNAs regulate gene expression in other tissues. Nature 542 450–455.
Not in our library10.1038/nature21365
- 423.
Thone M. N. Kwon Y. J. (2020 ). Extracellular blebs: Artificially-induced extracellular vesicles for facile production and clinical translation. Methods 177 135–145.
Not in our library10.1016/j.ymeth.2019.11.007
- 424.
Tian T. Zhang H. X. He C. P. Fan S. Zhu Y. L. Qi C. (2018 ). Surface functionalized exosomes as targeted drug delivery vehicles for cerebral ischemia therapy. Biomaterials 150 137–149.
Not in our library10.1016/j.biomaterials.2017.10.012
- 425.
Tian Y. Li S. Song J. Ji T. Zhu M. Anderson G. J. (2014 ). A doxorubicin delivery platform using engineered natural membrane vesicle exosomes for targeted tumor therapy. Biomaterials 35 2383–2390.
Not in our library10.1016/j.biomaterials.2013.11.083
- 426.
Tietjen G. T. Gong Z. Chen C. H. Vargas E. Crooks J. E. Cao K. D. (2014 ). Molecular mechanism for differential recognition of membrane phosphatidylserine by the immune regulatory receptor Tim4. Proc. Natl. Acad. Sci. U.S.A. 111 E1463–E1472.
Not in our library10.1073/pnas.1320174111
- 427.
Toh W. S. Lai R. C. Zhang B. Lim S. K. (2018 ). MSC exosome works through a protein-based mechanism of action. Biochem. Soc. Trans. 46 843–853.
Not in our library10.1042/bst20180079
- 428.
Tong M. Stanley J. L. Chen Q. James J. L. Stone P. R. Chamley L. W. (2017 ). Placental Nano-vesicles Target to Specific Organs and Modulate Vascular Tone In Vivo. Hum. Reprod. 32 2188–2198.
Not in our library10.1093/humrep/dex310
- 429.
Trivedi M. Talekar M. Shah P. Ouyang Q. Amiji M. (2016 ). Modification of tumor cell exosome content by transfection with wt-p53 and microRNA-125b expressing plasmid DNA and its effect on macrophage polarization. Oncogenesis 5:e250.
Not in our library10.1038/oncsis.2016.52
- 430.
Ullah M. Kodam S. P. Mu Q. Akbar A. (2021 ). Microbubbles versus Extracellular Vesicles as Therapeutic Cargo for Targeting Drug Delivery. ACS Nano 15 3612–3620.
Not in our library10.1021/acsnano.0c10689
- 431.
Units of Enzyme Activity (1979 ). Recommendations 1978. Eur. J. Biochem. 97 319–320.
Not in our library
- 432.
- 433.
- 434.
Vachon E. Martin R. Kwok V. Cherepanov V. Chow C. W. Doerschuk C. M. (2007 ). CD44-mediated phagocytosis induces inside-out activation of complement receptor-3 in murine macrophages. Blood 110 4492–4502.
Not in our library10.1182/blood-2007-02-076539
- 435.
Vader P. Mol E. A. Pasterkamp G. Schiffelers R. M. (2016 ). Extracellular vesicles for drug delivery. Adv. Drug Deliv. Rev. 106 148–156.
Not in our library10.1016/j.addr.2016.02.006
- 436.
Valadi H. Ekstrom K. Bossios A. Sjostrand M. Lee J. J. Lotvall J. O. (2007 ). Exosome-mediated transfer of mRNAs and microRNAs is a novel mechanism of genetic exchange between cells. Nat. Cell Biol. 9 654–659.
Not in our library10.1038/ncb1596
- 437.
van Balkom B. W. M. Gremmels H. Giebel B. Lim S. K. (2019 ). Proteomic Signature of Mesenchymal Stromal Cell-Derived Small Extracellular Vesicles. Proteomics 19:e1800163.
Not in our library10.1002/pmic.201800163
- 438.
van Dongen H. M. Masoumi N. Witwer K. W. Pegtel D. M. (2016 ). Extracellular Vesicles Exploit Viral Entry Routes for Cargo Delivery. Microbiol. Mol. Biol. Rev. 80 369–386.
Not in our library10.1128/mmbr.00063-15
- 439.
van Niel G. D’Angelo G. Raposo G. (2018 ). Shedding light on the cell biology of extracellular vesicles. Nat. Rev. Mol. Cell Biol. 19 213–228.
Not in our library10.1038/nrm.2017.125
- 440.
Vandergriff A. Huang K. Shen D. Hu S. Hensley M. T. Caranasos T. G. (2018 ). Targeting regenerative exosomes to myocardial infarction using cardiac homing peptide. Theranostics 8:1869.
Not in our library10.7150/thno.20524
- 441.
Varga Z. van der Pol E. Palmai M. Garcia-Diez R. Gollwitzer C. Krumrey M. (2018 ). Hollow organosilica beads as reference particles for optical detection of extracellular vesicles. J. Thromb. Haemost. [Preprint].
Not in our library10.1111/jth.14193
- 442.
Vargason A. M. Anselmo A. C. Mitragotri S. (2021 ). The evolution of commercial drug delivery technologies. Nat. Biomed. Eng. [Preprint].
Not in our library10.1038/s41551-021-00698-w
- 443.
Viaud S. Ploix S. Lapierre V. Thery C. Commere P. H. Tramalloni D. (2011 ). Updated technology to produce highly immunogenic dendritic cell-derived exosomes of clinical grade: a critical role of interferon-gamma. J. Immunother. 34 65–75.
Not in our library10.1097/cji.0b013e3181fe535b
- 444.
Villarroya-Beltri C. Gutierrez-Vazquez C. Sanchez-Cabo F. Perez-Hernandez D. Vazquez J. Martin-Cofreces N. (2013 ). Sumoylated hnRNPA2B1 controls the sorting of miRNAs into exosomes through binding to specific motifs. Nat. Commun. 4:2980.
Not in our library10.1038/ncomms3980
- 445.
Vinas J. L. Spence M. Gutsol A. Knoll W. Burger D. Zimpelmann J. (2018 ). Receptor-Ligand Interaction Mediates Targeting of Endothelial Colony Forming Cell-derived Exosomes to the Kidney after Ischemic Injury. Sci. Rep. 8:16320.
Not in our library10.1038/s41598-018-34557-7
- 446.
- 447.
Wan Y. Wang L. Zhu C. Zheng Q. Wang G. Tong J. (2018 ). Aptamer-Conjugated Extracellular Nanovesicles for Targeted Drug Delivery. Cancer Res. 78 798–808.
Not in our library10.1158/0008-5472.can-17-2880
- 448.
Wang B. Yao K. Huuskes B. M. Shen H. H. Zhuang J. Godson C. (2016 ). Mesenchymal Stem Cells Deliver Exogenous MicroRNA-let7c via Exosomes to Attenuate Renal Fibrosis. Mol. Ther. 24 1290–1301.
Not in our library10.1038/mt.2016.90
- 449.
- 450.
- 451.
- 452.
- 453.
Wang Y. Yao J. Cai L. Liu T. Wang X. Zhang Y. (2020 ). Bone-Targeted Extracellular Vesicles from Mesenchymal Stem Cells for Osteoporosis Therapy. Int. J. Nanomed. 15 7967–7977.
Not in our library10.2147/ijn.s263756
- 454.
- 455.
Watkins H. C. Rappazzo C. G. Higgins J. S. Sun X. Brock N. Chau A. (2017 ). Safe Recombinant Outer Membrane Vesicles that Display M2e Elicit Heterologous Influenza Protection. Mol. Ther. 25 989–1002.
Not in our library10.1016/j.ymthe.2017.01.010
- 456.
Webb R. L. Kaiser E. E. Jurgielewicz B. J. Spellicy S. Scoville S. L. Thompson T. A. (2018a ). Human Neural Stem Cell Extracellular Vesicles Improve Recovery in a Porcine Model of Ischemic Stroke. Stroke 49 1248–1256.
Not in our library10.1161/strokeaha.117.020353
- 457.
- 458.
Wei G. Jie Y. Haibo L. Chaoneng W. Dong H. Jianbing Z. (2017 ). Dendritic cells derived exosomes migration to spleen and induction of inflammation are regulated by CCR7. Sci. Rep. 7:42996.
Not in our library10.1038/srep42996
- 459.
Wei Y. Quan L. Zhou C. Zhan Q. (2018 ). Factors relating to the biodistribution & clearance of nanoparticles & their effects on in vivo application. Nanomedicine 13 1495–1512.
Not in our library10.2217/nnm-2018-0040
- 460.
- 461.
- 462.
- 463.
Whitford W. Guterstam P. (2019 ). Exosome manufacturing status. Fut. Med. Chem. 11 1225–1236.
Not in our library10.4155/fmc-2018-0417
- 464.
Wiklander O. P. B. Brennan M. A. Lotvall J. Breakefield X. O. El Andaloussi S. (2019 ). Advances in therapeutic applications of extracellular vesicles. Sci. Transl. Med. 11:eaav8521.
Not in our library10.1126/scitranslmed.aav8521
- 465.
Wiklander O. P. Nordin J. Z. O’Loughlin A. Gustafsson Y. Corso G. Mager I. (2015 ). Extracellular vesicle in vivo biodistribution is determined by cell source, route of administration and targeting. J. Extracell. Vesicles 4:26316.
Not in our library10.3402/jev.v4.26316
- 466.
Williams A. M. Dennahy I. S. Bhatti U. F. Halaweish I. Xiong Y. Chang P. (2019 ). Mesenchymal Stem Cell-Derived Exosomes Provide Neuroprotection and Improve Long-Term Neurologic Outcomes in a Swine Model of Traumatic Brain Injury and Hemorrhagic Shock. J. Neurotrauma 36 54–60.
Not in our library10.1089/neu.2018.5711
- 467.
- 468.
- 469.
- 470.
Willis G. R. Mitsialis S. A. Kourembanas S. (2018 ). “Good things come in small packages”: application of exosome-based therapeutics in neonatal lung injury. Pediatr. Res. 83 298–307.
Not in our library10.1038/pr.2017.256
- 471.
- 472.
Witwer K. W. Wolfram J. (2021 ). Extracellular vesicles versus synthetic nanoparticles for drug delivery. Nat. Rev. Mater. 6 103–106.
Not in our library10.1038/s41578-020-00277-6
- 473.
Witwer K. W. Van Balkom B. W. M. Bruno S. Choo A. Dominici M. Gimona M. (2019 ). Defining mesenchymal stromal cell (MSC)-derived small extracellular vesicles for therapeutic applications. J. Extracell. Vesicles 8:1609206.
Not in our library10.1080/20013078.2019.1609206
- 474.
- 475.
- 476.
Wu J. Kuang L. Chen C. Yang J. Zeng W. N. Li T. (2019 ). miR-100-5p-abundant exosomes derived from infrapatellar fat pad MSCs protect articular cartilage and ameliorate gait abnormalities via inhibition of mTOR in osteoarthritis. Biomaterials 206 87–100.
Not in our library10.1016/j.biomaterials.2019.03.022
- 477.
- 478.
- 479.
- 480.
Xitong D. Xiaorong Z. (2016 ). Targeted therapeutic delivery using engineered exosomes and its applications in cardiovascular diseases. Gene 575 377–384.
Not in our library10.1016/j.gene.2015.08.067
- 481.
Xu H. Jia S. Xu H. (2019 ). Potential therapeutic applications of exosomes in different autoimmune diseases. Clin. Immunol. 205 116–124.
Not in our library10.1016/j.clim.2019.06.006
- 482.
Xu H. Liao C. Zuo P. Liu Z. Ye B. C. (2018 ). Magnetic-Based Microfluidic Device for On-Chip Isolation and Detection of Tumor-Derived Exosomes. Anal. Chem. 90 13451–13458.
Not in our library10.1021/acs.analchem.8b03272
- 483.
Xu K. Liu Q. Wu K. Liu L. Zhao M. Yang H. (2020 ). Extracellular vesicles as potential biomarkers and therapeutic approaches in autoimmune diseases. J. Translat. Med. 18 1–8.
Not in our library10.1186/s12967-020-02609-0
- 484.
Xu R. Greening D. W. Chen M. Rai A. Ji H. Takahashi N. (2019 ). Surfaceome of Exosomes Secreted from the Colorectal Cancer Cell Line SW480: Peripheral and Integral Membrane Proteins Analyzed by Proteolysis and TX114. Proteomics 19:e1700453.
Not in our library10.1002/pmic.201700453
- 485.
Xu R. Greening D. W. Zhu H. J. Takahashi N. Simpson R. J. (2016 ). Extracellular vesicle isolation and characterization: toward clinical application. J. Clin. Invest. 126 1152–1162.
Not in our library10.1172/jci81129
- 486.
Xue C. Shen Y. Li X. Li B. Zhao S. Gu J. (2018 ). Exosomes Derived from Hypoxia-Treated Human Adipose Mesenchymal Stem Cells Enhance Angiogenesis Through the PKA Signaling Pathway. Stem Cells Dev. 27 456–465.
Not in our library10.1089/scd.2017.0296
- 487.
Xunian Z. Kalluri R. (2020 ). Biology and therapeutic potential of mesenchymal stem cell-derived exosomes. Cancer Sci. 111 3100–3110.
Not in our library10.1111/cas.14563
- 488.
- 489.
Yang S. Sun I. C. Hwang H. S. Shim M. K. Yoon H. Y. Kim K. (2021 ). Rediscovery of nanoparticle-based therapeutics: boosting immunogenic cell death for potential application in cancer immunotherapy. J. Mater. Chem. B 9 3983–4001.
Not in our library10.1039/d1tb00397f
- 490.
Yang Z. Shi J. Xie J. Wang Y. Sun J. Liu T. (2020 ). Large-scale generation of functional mRNA-encapsulating exosomes via cellular nanoporation. Nat. Biomed. Eng. 4 69–83.
Not in our library10.1038/s41551-019-0485-1
- 491.
Yao J. Huang K. Zhu D. Chen T. Jiang Y. Zhang J. (2021 ). A Minimally Invasive Exosome Spray Repairs Heart after Myocardial Infarction. ACS Nano. [Preprint].
Not in our library10.1021/acsnano.1c00628
- 492.
- 493.
Ye Y. Zhang X. Xie F. Xu B. Xie P. Yang T. (2020 ). An engineered exosome for delivering sgRNA:Cas9 ribonucleoprotein complex and genome editing in recipient cells. Biomater. Sci. 8 2966–2976.
Not in our library10.1039/d0bm00427h
- 494.
- 495.
- 496.
- 497.
Yoon J. Jo W. Jeong D. Kim J. Jeong H. Park J. (2015 ). Generation of nanovesicles with sliced cellular membrane fragments for exogenous material delivery. Biomaterials 59 12–20.
Not in our library10.1016/j.biomaterials.2015.04.028
- 498.
- 499.
Yuyama K. Sun H. Sakai S. Mitsutake S. Okada M. Tahara H. (2014 ). Decreased amyloid-beta pathologies by intracerebral loading of glycosphingolipid-enriched exosomes in Alzheimer model mice. J. Biol. Chem. 289 24488–24498.
Not in our library10.1074/jbc.m114.577213
- 500.
Zabeo D. Cvjetkovic A. Lasser C. Schorb M. Lotvall J. Hoog J. L. (2017 ). Exosomes purified from a single cell type have diverse morphology. J. Extracell. Vesicles 6:1329476.
Not in our library10.1080/20013078.2017.1329476
- 501.
Zaborowski M. P. Cheah P. S. Zhang X. Bushko I. Lee K. Sammarco A. (2019 ). Membrane-bound Gaussia luciferase as a tool to track shedding of membrane proteins from the surface of extracellular vesicles. Sci. Rep. 9:17387.
Not in our library10.1038/s41598-019-53554-y
- 502.
- 503.
Zhang L. Ouyang P. He G. Wang X. Song D. Yang Y. (2021 ). Exosomes from microRNA-126 overexpressing mesenchymal stem cells promote angiogenesis by targeting the PIK3R2-mediated PI3K/Akt signalling pathway. J. Cell Mol. Med. 25 2148–2162.
Not in our library10.1111/jcmm.16192
- 504.
- 505.
Zhang S. Teo K. Y. W. Chuah S. J. Lai R. C. Lim S. K. Toh W. S. (2019 ). MSC exosomes alleviate temporomandibular joint osteoarthritis by attenuating inflammation and restoring matrix homeostasis. Biomaterials 200 35–47.
Not in our library10.1016/j.biomaterials.2019.02.006
- 506.
Zhang S. Wan Z. Kamm R. D. (2021 ). Vascularized organoids on a chip: strategies for engineering organoids with functional vasculature. Lab. Chip 21 473–488.
Not in our library10.1039/d0lc01186j
- 507.
Zhang Y. S. Aleman J. Shin S. R. Kilic T. Kim D. Mousavi Shaegh S. A. (2017 ). Multisensor-integrated organs-on-chips platform for automated and continual in situ monitoring of organoid behaviors. Proc. Natl. Acad. Sci. U.S.A. 114 E2293–E2302.
Not in our library10.1073/pnas.1612906114
- 508.
Zhang Y. Li L. Yu J. Zhu D. Zhang Y. Li X. (2014 ). Microvesicle-mediated delivery of transforming growth factor beta1 siRNA for the suppression of tumor growth in mice. Biomaterials 35 4390–4400.
Not in our library10.1016/j.biomaterials.2014.02.003
- 509.
Zhang Y. Tan J. Miao Y. Zhang Q. (2021 ). The effect of extracellular vesicles on the regulation of mitochondria under hypoxia. Cell Death Dis. 12:358.
Not in our library10.1038/s41419-021-03640-9
- 510.
Zhao W. Liu L. Zhang F. Leng J. Liu Y. (2019 ). Shape memory polymers and their composites in biomedical applications. Mater. Sci. Eng. C Mater. Biol. Appl. 97 864–883.
Not in our library10.1016/j.msec.2018.12.054
- 511.
Zhao X. Liu Y. Jia P. Cheng H. Wang C. Chen S. (2021 ). Chitosan hydrogel-loaded MSC-derived extracellular vesicles promote skin rejuvenation by ameliorating the senescence of dermal fibroblasts. Stem Cell Res. Ther. 12:196.
Not in our library10.1186/s13287-021-02262-4
- 512.
Zhao Z. Yang Y. Zeng Y. He M. (2016 ). A microfluidic ExoSearch chip for multiplexed exosome detection towards blood-based ovarian cancer diagnosis. Lab. Chip 16 489–496.
Not in our library10.1039/c5lc01117e
- 513.
Zhou X. Xie F. Wang L. Zhang L. Zhang S. Fang M. (2020 ). The function and clinical application of extracellular vesicles in innate immune regulation. Cell Mol. Immunol. 17 323–334.
Not in our library10.1038/s41423-020-0391-1
- 514.
Zhu D. Fang H. Kusuma G. D. Schwab R. Barabadi M. Chan S. T. (2021a ). Impact of chemically defined culture media formulations on extracellular vesicle production by amniotic epithelial cells. Proteomics 2021:e2000080.
Not in our library10.1002/pmic.202000080
- 515.
- 516.
Zhu L. P. Tian T. Wang J. Y. He J. N. Chen T. Pan M. (2018 ). Hypoxia-elicited mesenchymal stem cell-derived exosomes facilitates cardiac repair through miR-125b-mediated prevention of cell death in myocardial infarction. Theranostics 8 6163–6177.
Not in our library10.7150/thno.28021
- 517.
Zhu X. Badawi M. Pomeroy S. Sutaria D. S. Xie Z. Baek A. (2017 ). Comprehensive toxicity and immunogenicity studies reveal minimal effects in mice following sustained dosing of extracellular vesicles derived from HEK293T cells. J. Extracell. Vesicles 6:1324730.
Not in our library10.1080/20013078.2017.1324730
- 518.
Zipkin M. (2019 ). Exosome redux. Nat. Biotechnol. 37 1395–1400.
Not in our library10.1038/s41587-019-0326-5
- 519.
Zitvogel L. Regnault A. Lozier A. Wolfers J. Flament C. Tenza D. (1998 ). Eradication of established murine tumors using a novel cell-free vaccine: dendritic cell-derived exosomes. Nat. Med. 4 594–600.
Not in our library10.1038/nm0598-594
- 520.
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