Skip to content
naulon

No retraction, correction or concern found when last checked on Oct 16, 2026.

Evaluating phase separation in live cells: diagnosis, caveats, and functional consequences

David T. McSwiggen, Mustafa Mir, Xavier Darzacq and 1 more

Genes & Development · 2019 · Review

doi:10.1101/gad.331520.119

Abstract

The idea that liquid–liquid phase separation (LLPS) may be a general mechanism by which molecules in the complex cellular milieu may self-organize has generated much excitement and fervor in the cell biology community. While this concept is not new, its rise to preeminence has resulted in renewed interest in the mechanisms that shape and drive diverse cellular self-assembly processes from gene expression to cell division to stress responses. In vitro biochemical data have been instrumental in deriving some of the fundamental principles and molecular grammar by which biological molecules may phase separate, and the molecular basis of these interactions. Definitive evidence is lacking as to whether the same principles apply in the physiological environment inside living cells. In this Perspective, we analyze the evidence supporting phase separation in vivo across multiple cellular processes. We find that the evidence for in vivo LLPS is often phenomenological and inadequate to discriminate between phase separation and other possible mechanisms. Moreover, the causal relationship and functional consequences of LLPS in vivo are even more elusive. We underscore the importance of performing quantitative measurements on proteins in their endogenous state and physiological abundance, as well as make recommendations for experiments that may yield more conclusive results.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 16, 2026. Paragraph numbers are ours, so an answer can point at one.

Fundamentally, a cell is a collection of molecules compartmentalized in a manner to modulate biochemical reactions that support diverse cellular activities. The challenges faced by a cell in managing these biochemical processes scales with organismal complexity. In eukaryotes, where some cellular tasks can require the coordinated activity of tens to hundreds of individual molecular components, elaborate mechanisms have evolved to ensure that these assemblies occur, and furthermore, that they do so on timescales relevant to their biological function. Prototypical examples of cellular organization are the membrane-bound organelles, but it has long been appreciated that many compartments exist in the cell without an enclosing membrane.

In the past decade, a fresh perspective on membraneless compartments—now often referred to as biomolecular condensates—has led to a resurgence in the idea that a majority of these compartments may exist as separate liquid phases. There has been a renaissance in understanding how liquid–liquid phase separation (LLPS) might function in compartment formation and maintenance. Perhaps the most often cited example is the nucleolus, where a convergence of studies examining its liquid-like behavior, supported with biochemical and in vivo experiments, collectively support a model where the nucleolus behaves as a separate liquid phase within the nucleus. Inspired by these and other early examples of compartments with liquid-like properties, there has been a surge of publications revisiting the formation of well-known cellular compartments through the lens of LLPS. Far from being the peculiarity it once was, phase separation now has become, for many, the default explanation to rationalize the remarkable way in which a cell achieves various types of compartmentalization, prompting significant debate within the scientific community.

Much of the debate around LLPS condensates arises because it is unclear how strong the evidence for in vivo LLPS is, particularly when LLPS is invoked so broadly across many cellular contexts. The current focus on LLPS as a mechanism may come at the expense of understanding alternative mechanisms by which a high local concentration of factors can be achieved in the absence of a membrane. For example, while nucleoli exhibit many properties consistent with LLPS, the formation of nucleoli and many other nuclear bodies have previously been explained by alternative mechanisms. In a recent study we found that Herpes Simplex Virus replication compartments derive their ability to concentrate cellular factors through transient nonspecific binding to the viral DNA in a manner distinct from liquid–liquid phase separation. Despite this mechanistic distinction, these replication compartments display many of the hallmarks that are often deemed sufficient to claim that such a compartment is formed via LLPS.

Our data on replication compartments, as well as other recent studies from our group demonstrate that there are multiple routes to establish regions with high local concentrations of specific factors inside the cell. These studies prompted us to critically reexamine the current evidence for LLPS in vivo. The appeal for invoking phase separation is understandable, as it presents a way to rationalize—and at least superficially explain—certain behaviors of cellular compartments. However, in light of various recent studies and upon further analysis, we find that the evidence for LLPS occurring in the cell is often far from conclusive. This is not to imply that LLPS cannot function in biological contexts, but rather to highlight how the tests commonly used in probing LLPS are insufficient to rule out other mechanistic interpretations.

In this Perspective, we summarize the evidence used to diagnose liquid–liquid phase separation in vivo. Recently, others have similarly urged caution in overinterpreting in vivo experiments to test LLPS, but the issues in this field run deeper than the authors discuss. This Perspective is, to our knowledge, the first to systematically and holistically consider the evidence presented by this emerging field. We first provide a summary of the state of evidence for LLPS condensates across multiple contexts, and address important considerations for this evidence. Second, we address the evidence for the functional consequences of LLPS in the underlying biological processes being studied. Finally, we urge the application of more stringent criteria and more appropriate experimental approaches to understand the functional role of LLPS condensates in cellular organization.

A diagnostic problem

Phase separation arises as a result of supersaturation. When a molecular species is at or above a critical concentration based on the specific cellular conditions (temperature, pH, etc.), it becomes more thermodynamically favorable to partition into a high-concentration phase and a low-concentration phase. Production of more of the protein in a two-phase regime does not increase the protein concentration in either of the phases, but rather results in changes in the relative volumes occupied by the two phases (Fig. 1). A simplistic example of this is the nucleation and growth of water droplets on a cold glass. Accumulating evidence suggests the potential for LLPS to occur widely with biological macromolecules as well, and it has been shown that certain classes of proteins—as well as RNA and other biological polymers—readily undergo LLPS in vitro.

The topic of phase separation in biology has been extensively reviewed elsewhere, and the reader is encouraged to refer to these reviews for a more thorough explanation of the forces that drive liquid–liquid demixing. Much of what we know now has foundations in early works on polymer physics and has been advanced by efforts to improve crystallographic methods for which phase separation was used as a means of increasing a protein's concentration without it crashing out of solution. Other types of phase transition have also been proposed to occur in cells. For example, it has been proposed that some proteins may transition into gel-like structures or liquid-crystalline structures, again drawing models from lessons learned in polymer physics and materials science for inspiration.

Physical models exist to explain liquid demixing, and for purified components like proteins or nucleic acids, there exist rigorous standards by which one may determine whether a given system is undergoing liquid–liquid demixing. Modulating the concentration of a polymer, the ionic strength of the buffer, the temperature of the system, and intra- or interpolymer interactions can all quantifiably change the propensity of the polymer to demix. Following this model, beautiful in vitro experiments have been performed demonstrating the ability of LLPS systems to exhibit exclusivity; to form and dissolve on the basis of post-translational modifications and to exhibit changes in viscosity and to “ripen” or harden over time.

These studies suggest that, at least in vitro, LLPS is particularly pervasive for proteins containing large disordered and low-complexity domains that enable multivalent homo- and heterotypic protein–protein interactions. While elegant biochemical experiments have provided essential insights into the physical properties of macromolecules that undergo LLPS, it remains less clear to what extent LLPS is happening in the crowded milieu of the cell. The intracellular environment itself is immensely more complex by virtue of the coexistence of hundreds of thousands of other macromolecular and small-molecules species that share the same solvent in a highly confined volume. It remains an open question to what extent the physical models built on in vitro studies hold true when dealing with the innumerable possible homo- and heterotypic interactions inside the cell, each of which has the potential to facilitate or antagonize LLPS or molecular function.

In vivo, there is often much less control over the various parameters that should ideally be altered to test for LLPS to discriminate between it and other potential mechanisms. For example, while it is possible to tune, to a limited degree, parameters like the concentration of a few target proteins or the ionic strength of the solution, additional nontrivial controls are required to ensure that the resulting changes are not due to secondary effects as the cell responds to a changing environment.

An accumulation of qualitative evidence

The challenges of modulating parameters critical to validate phase transitions in vivo have led researchers to instead rely heavily on descriptive characteristics. Roundness as a proxy for surface tension, the ability to undergo fusion or fission, changes in refractive index, and dynamic rearrangement within the phase as measured by FRAP are all routinely used to diagnose LLPS in vivo, largely based on the observation that in vitro droplets display these same liquid-like behaviors. We examined 33 studies, collectively making claims for 50 examples of in vivo LLPS for a range of cellular systems and organisms (Table 1). Without drawing any specific conclusions regarding the quality of the data in a given study, we categorized evidence based on whether the study used qualitative descriptors (+) or quantitative measurements (+++) to assess a given criterion. For example, a study reporting that “the droplets were round and could be seen to “fuse” received a “+” for the “roundness” and “fusion/ripening” criteria, whereas a study that quantifies the degree of roundness or conservation of material after fusion received a “+++”. If a criterion is not mentioned, or if the assay does not apply to the system under study, it received a “−”, and if it cites other literature that previously reported the claim, it received a “PR.”

As LLPS is critically dependent on concentration, a crucial test to determine whether it is occurring is to identify a critical concentration above which droplets exist and below which they do not. Despite this critical dependence, the majority of the studies we examined performed all of their in vivo measurements using ectopic overexpression (Fig. 2). The degree of ectopic expression varies case-by-case, but many multi-phase systems are exquisitely sensitive to changes in concentration (indeed, this fact is often used to support the biological function of LLPS). Furthermore, at least in some cases, it has been suggested that cellular systems exist just on the cusp of a two-phase regime, in which case even the mildest overexpression could dramatically influence the outcome and interpretation of the data. Such overexpression introduces significant caveats into the conclusions that can be made from these studies.

Another surprising feature that stands out when examining the evidence in these studies is how heavily they rely on the descriptive properties of LLPS, rather than on quantitative tests. A majority of the cases reported roundness and observations of puncta fusion (48 and 35 out of 50 proteins, respectively), but the evidence provided is often a single image or movie, whereas few (six and eight examples out of 50, respectively) measure these behaviors in a quantitative manner (Fig. 2). Furthermore, with the exception of fluorescence recovery after photobleaching (FRAP) experiments—which have their own limits to be discussed in the next section—many studies only use qualitative observations or other indirect lines of evidence for LLPS in vivo.

One of the major considerations with these indirect measurements, particularly with roundness and fusion, is the fact that diffraction-limited features have a tendency to look round and can obscure the true underlying structure. This is especially true if the size of the features is near to, or below, the resolution of the system (Fig. 2B), as is the case for many putative LLPS systems. These incipient attempts at characterizing putative LLPS condensates in vivo using various imaging modalities show promise, but also underscore a potential confounding challenge. Roundness, for example, can be measured but is often provided only as a snapshot to judge by. This is exacerbated by the post-processing and image representation methods that may or may not have adhered to standards that control for inconsistent image processing, rendering the data difficult to evaluate. Such artifacts become less of a concern as the compartments under study become larger, but even relatively large membraneless structures can display a striking degree of structural detail when examined with higher resolution. As this field matures, journals will need to do a better job of monitoring the image-processing pipeline to ensure unbiased image representation and a more quantitative treatment of the data.

Other commonly used assays test the importance of particular protein domains for phase separation, either through truncation/modification experiments, or through perturbing weak hydrophobic interactions by treatment with 1,6-hexandiol. Here again, while the experiments can be useful to identify important protein domains for protein–protein and protein–nucleic acid interactions which can give rise to puncta inside the cell, they are insufficient to diagnose whether these puncta arise through phase separation or through other mechanisms. Additionally, while hexanediol does disrupt some weak interactions that may lead to LLPS, it is also known to increase membrane permeability and can even cause the formation of aberrant puncta on its own.

We briefly discussed a striking case of how using only indirect, phenotypic observations can lead to the wrong conclusion. Here, viral replication compartments formed during lytic Herpes Simplex Virus infection were shown to satisfy all of the descriptive characteristics of LLPS in vivo. Replication compartments are round, they undergo fusion as they grow, they clearly have a different refractive index than the surrounding nucleoplasm, and they recruit many proteins that have themselves been shown to undergo LLPS in vitro. Given only these qualitative descriptors it would be easy to conclude that this was yet another example of a nuclear compartment generated through the generally accepted mechanisms leading to LLPS. Yet, when we performed quantitative measurements to directly assess LLPS, we were surprised to find that the replication compartments form via entirely different mechanisms. In particular, super-resolution imaging demonstrates that the compartments emerge at variable concentrations of the component molecules unlike the behavior that is predicted by a bona fide condensate phase diagram (Fig. 1), and that within each compartment the concentration of such molecules is not uniform nor randomly distributed as one would expect from a liquid state. Moreover, using single particle tracking to follow molecules as they explore the replication compartments revealed no change in diffusion coefficient compared to the surrounding nucleoplasm, nor any evidence of an energetic barrier to entering or leaving the compartments.

This counterexample underscores the importance of using quantitative assays that can more appropriately diagnose LLPS, rather than relying solely on descriptive ones. Unfortunately, only 14 of the 52 instances we examined reported data that could be said to be a necessary feature of LLPS (Table 1; Fig. 2C), and in only six instances was the evidence quantitative. The rest share the same descriptive criteria, but cannot be said to conclusively demonstrate LLPS in favor of other explanations, particularly in light of the example seen with replication compartments. Commonly, studies first demonstrate in vitro that a given protein is capable of undergoing LLPS. However, care should be taken when interpreting these results, as even hemoglobin and other well-folded, purified proteins can be induced to undergo LLPS in vitro given the right conditions and crowding agents.

One cellular system in particular where current enthusiasm for LLPS has vastly outpaced the evidence is in transcription regulation mediated by enhancers, where it has been emphatically postulated by many to be dependent on a process of phase separation. Single-molecule experiments tracking the behavior of clusters of molecules, thought to be located at enhancers or other active DNA elements, highlight the problems of this particular interpretation. The observation that the clusters themselves appear and disappear with extremely short half-lives and do so heterogeneously throughout the nucleus is inconsistent with our current understanding of the formation of thermodynamically driven LLPS condensates. Indeed, transcription factor hubs in the nucleus can appear with sizes and distributions largely independent of the factor's total nuclear concentration, in stark contrast to the LLPS model.

While there is clearly excitement and merit in the idea that LLPS could explain long-standing questions as to how transcription factors—especially their intrinsically disordered activation domains—mechanistically drive transcription, and how this process is coordinated, the evidence for LLPS formation during transcription actually occurring in cells is some of the most phenomenological. Here, in particular, the experiments that can definitively support or disprove LLPS are especially challenging. Their small size and highly dynamic nature makes them prone to misinterpretation based on morphology and their constituent molecules’ propensity to interact not only with each other, but with host genomic DNA and RNA through multiple types of interactions, makes meaningful perturbations difficult. In light of the data from herpesvirus showing that nonspecific binding to DNA can evoke many of the same descriptive behaviors, and given recent evidence that accessible DNA sites are spatially clustered in the nucleus, it is probable that alternative models other than LLPS can better explain the data that these studies have presented.

It is for the reasons outlined above that in our recent studies we have very purposefully avoided using the terms LLPS/condensate to describe the formation in vivo of transient local high-concentration biomolecules, in favor of the more agnostic term “hubs”. This distinction is more than simply a semantic difference; as carefully outlined above, they represent distinct molecular mechanisms. Our use of the term hubs should not be construed to mean that we don't believe LLPS may be a potential mechanism for their formation. Rather, we prefer the more agnostic term precisely because we currently lack enough evidence to make definitive conclusions. Unless the biological systems represented in Table 1 can satisfy the mechanistic characteristics for LLPS condensates in vivo, along with robust evidence for functional consequences, one cannot exclude the strong possibility that the compartment in question could be forming through various cellular processes distinct from phase separation. As such, alternative models should be pursued without bias at this stage rather than treat LLPS as the null hypothesis.

FRAP is not a test of “liquid-like” properties

Aside from the ability to undergo LLPS in vitro, our review of the literature highlighted that one of the most commonly used “gold standard” assays to diagnose a compartment as “liquid-like” is Fluorescence Recovery After Photobleaching (FRAP) (Fig. 2A). In these studies, the fluorescence recovery of a labeled protein within that compartment is assumed to imply rapid reorganization or exchange of the liquid within. As a technique, FRAP has been used extensively to measure the dynamics of protein exchange and interactions in the plasma membrane, nucleus, and specific organelles. In FRAP it is assumed that the photobleached molecules will diffuse away from the bleach spot and be replaced with new fluorescent molecules, resulting in a recovery of fluorescent signal (Fig. 3A; ).

Despite the prevalence of using FRAP as the “gold standard” for LLPS, there are considerable potential caveats that should be considered when interpreting the data. First and foremost, the recovery of fluorescence is not unique to freely diffusing molecules in solution. Even proteins that engage in stable, high-affinity binding interactions can show recovery. Fluorescence recovery has a complex dependence on several parameters, including the diffusion coefficient and the concentration of the molecule being measured; the rate of its association with binding partners and their diffusion coefficients; the number and affinity of binding partners; and the technical considerations of the microscope and detectors being used. Changes in any one of these parameters can influence the rate at which a bleached spot recovers. Modelling the recovery can provide quantitative insight into the underlying molecular dynamics (diffusion, binding, etc.), but it is well known that different model choices can lead to contradictory conclusions.

It should therefore be of great concern—if ultimately unsurprising—that studies measuring FRAP in supposedly phase-separated compartments have reported subsecond to minutes-long recoveries for droplets generated from the very same IDR (Fig. 3). Indeed, the recovery times in the studies we examined spanned nearly three orders of magnitude, and in all cases fluorescence recovery was central to the argument that the compartment in question was phase separated (Fig. 3B).

Setting aside concerns that the range of recovery half-lives calculated spans a huge range, these one-off diffusion measurements prove little, as there are many potential biological mechanisms that may provide the same result. In-depth treatments of how binding, diffusion, and concentration affect recovery dynamics have been compiled elsewhere, including theoretical considerations for cases when molecules are not homogenous in solution such as in putative LLPS condensates. All of which is to say that there are many physical models that can be fitted to the same fluorescence recovery curve, which makes the calculated results deeply sensitive to the chosen model. One of the major revelations that live-cell imaging has provided to biology is an appreciation for how unexpectedly dynamic molecular processes are in cells. Binding events of protein complexes that were previously expected to last in the regime of minutes to hours, based on in vitro biochemical work, actually only last for tens of seconds, even for relatively stable protein complexes. Claims of a “liquid-like rate of fluorescence recovery” therefore grossly oversimplify the potential number of models that could explain such a recovery rate.

Some groups have taken additional measures in their FRAP experiments to directly address the “liquid-like” nature of the putative compartment by partially bleaching a compartment and looking for signs of internal rearrangement, which would be suggestive of a liquid state. These experiments are an improvement over reporting a single recovery time, but they should still be interpreted cautiously unless control experiments are provided. One critical control, for example, is to demonstrate that the rate of recovery is dominated by diffusion rather than by binding. This can be shown by testing whether recovery is dependent on the size of the bleach spot (Fig. 3C). Further, for these experiments to be conclusive, it should be shown that the entire fluorescence signal is within the linear range of the detector, and that the recovery is only explained by internal rearrangement rather than an influx of fluorescent molecules from outside.

Recent work on FRAP specifically in LLPS systems addresses some of the above concerns, particularly with an eye to in vitro FRAP experiments. Although Taylor and colleagues explicitly ignore the role of long binding events in modeling FRAP recovery—an aspect that is almost certainly not valid for many instances of LLPS in cells—they nevertheless raise many useful points. Most importantly, they show that using a bleach spot size that is similar to the size of the underlying droplet can greatly affect the resulting recovery. This imposes significant restrictions on in vivo FRAP measurements, where most cellular compartments are too small to reasonably perform FRAP on because of hard physical limitations. As a result, there are instances where FRAP cannot offer meaningful insights into whether a compartment is a separate liquid phase. If recovery rates spanning nearly three orders of magnitude can all be interpreted as LLPS, then the assay becomes problematic. On its own, FRAP cannot distinguish between a separate liquid droplet and a collection of molecules generated by any number of alternate mechanisms.

Searching for the functional significance

In the previous two sections, we have discussed how the evidence for phase separation in vivo in any given biological system is often far from conclusive. This is not to say that the compartments in question are indeed formed by a mechanism other than LLPS, but rather to highlight the significant uncertainty that still lingers. In the fullness of time, it may come to pass that some of these different putative examples of LLPS indeed turn out to be bona fide examples of phase separation. Even if this were the case, there still exists the more fundamental issue regarding functional significance of LLPS.

The observation that some cellular compartments behave like separate liquid phases has prompted speculation for a number of possible functional consequences. It has been speculated that LLPS compartments might function to facilitate cellular reactions/interactions, they may work to sequester some cellular components away from an unwanted reaction/interaction, or they may buffer the effective concentration of a given component within the cell. Briefly, the rationale behind facilitating reactions is relatively straightforward: If a select set of reactants exists at higher concentrations within a particular compartment, the reactions they perform will generally occur with much faster kinetics. The contrapositive is expected if a system is acting to sequester molecules away from a given reaction. The hypothesis that LLPS may be used to effectively buffer cells from fluctuations in cellular concentrations builds on the fact that LLPS occurs at a critical concentration, above which the solution phase separates. Thus, overproduction only results in the growth of droplets without further increasing the concentrations in either the dilute or concentrated phases, essentially providing a constant concentration of the molecule in these two compartments irrespective of the average concentration of the molecule inside the cell (Fig. 1).

Each of the above potential functions provide tantalizing explanations for how biological systems may be regulated but concrete in vivo evidence substantiating these functions in an endogenous context is lacking. Some more recent work has attempted to tie phase separation to a functional outcome; however, these same studies provide some of the weakest evidence that the putative phase separation process they are studying is actually occurring inside the cell, instead largely relying on biochemical experiments or previously cited work. Lacking any strong evidence for phase separation in vivo it is imprudent to imply functional effects based on the data currently available.

A recent study may help shed light on the magnitude of effects we might see from a phase-separated system. In in vitro biochemical experiments, Strulson and colleagues demonstrated that inducing LLPS resulted in a boost in the enzymatic rate of the hammerhead ribozyme, a proof of principle that phase separation can help facilitate enzymatic reactions. If this principle generalizes to other types of reactions, this study is helpful in understanding what sorts of effects one might expect from compartmentalization in vivo. The authors find that the increase in enzymatic rate scales approximately proportionally with the degree of concentration. While certainly in the minority, a few studies have endeavored to measure the critical concentration of an LLPS system in vivo. Bracha and colleagues used ferritin “corelets” decorated with IDRs as massively multivalent over-expression constructs to robustly drive LLPS. They then made precise measurements of the critical concentrations at different expression levels and valency. Their data show that the increase in concentration of the high-concentration phase is maximally around 10-fold, whereas conditions closer to physiologically relevant examples show significantly less concentration difference between the two phases (approximately threefold).

These relatively low enrichments at physiological conditions suggest a modest upper limit to the amount of reaction acceleration that can be achieved through phase separation of a single molecular species alone, though perhaps the concentration of multiple factors may yield additional acceleration. Recent evidence in cells supports such a modest limit: Two halves of a reaction targeted through in vivo overexpression into droplets yielded less than a twofold increase in the reaction selectivity and simultaneously a marked decrease in reaction efficiency. Only by further promoting association through the addition of kinesin motor domains to spatially concentrate their reaction could synergistic improvements of five- to 10-fold be achieved. This is not to suggest that small changes in concentration cannot have important phenotypic outcomes, but it is important to keep in mind these upper bounds when considering functional implications; and particularly when those functional implications are speculative in nature.

Current data present a similarly modest picture when considering how effective LLPS might be at sequestering a given molecule away from unwanted reactants. Because LLPS is intimately tied to the critical concentration at which a droplet forms, we can use the concentration of the dilute phase to estimate the degree to which LLPS improves protein sequestration. Again, using the FUS corelet system as an extreme example, the difference in concentration of the corelets before and after induction of LLPS in the dilute phase is modest, perhaps twofold at most. For such a system to be an effective and meaningful mode of regulation, it would need to be sequestering molecules that are exquisitely sensitive to component concentration. It is of course possible that such a system exists, but these limitations should be explicitly considered when proposing phase separation as functionally relevant for sequestering reactants.

The above points suggest that the effects of LLPS on either facilitating or sequestering reactions will likely be quite subtle, and difficult to adequately test, particularly in a physiologically relevant concentration regime. The hypothesis that phase separation serves as a means to buffer biomolecules is equally challenging to verify. One may speculate on whether there is evidence that evolution has selected for optimal LLPS behavior under a given set of conditions, but there is still too little data to begin to address these types of questions. Until clear, testable predictions are made and investigated in vivo under physiologically relevant conditions, the functional consequences of phase separation will remain shrouded in uncertainty.

Finding a path forward

The notion that cells have evolved to use liquid–liquid phase separation as a means of further compartmentalizing the intracellular environment to specifically regulate biochemical reactions is a compelling one. We do not wish to suggest that phase separation can never happen inside the cell, nor that phase separation is inconsequential to certain cellular functions. To be sure, there are clearly examples where LLPS remains the most suitable interpretation of the current evidence. Rather, with the research community so intoxicated by the current crop of studies and the tantalizing promise to explain the mechanistic underpinnings of subcellular organization, it is also important to recognize the potential for other explanations and the current lack of concrete evidence to point to one interpretation or another.

It may be the case that LLPS is a pervasive phenomenon in subcellular organization, mediated by multivalent interactions through intrinsically disordered protein domains, RNA, or DNA molecules. It may also be that the various cellular systems proposed to phase separate will still stand up to greater scrutiny and to assays that can more faithfully diagnose LLPS. These assays should directly probe how the compartment responds to changes in molecular concentration, binding-interaction strength, temperature, and study the effect of putative LLPS on the compartment in question's constituents. However, in the absence of these more robust data, LLPS should not be invoked as the more likely interpretation of otherwise phenomenological observations, and alternative hypotheses should be formulated and tested to provide real biological insights.

In order to advance the field as a whole, it is clear that better assays and cellular systems are needed. Unfortunately, there is unlikely to be a one-size-fits-all suite of assays that can probe LLPS, and experiments will need to be thoughtfully tailored to the system at hand. An important first step, given that LLPS is intrinsically tied to cellular protein concentration, is a concerted effort to move away from experiments that overexpress proteins likely to participate in LLPS, even if only to a small degree. Instead, it is worth the time and effort to tag the molecule under study in the native genomic locus to ensure endogenous levels of expression and protein concentrations. It is also clear that roundness and the ability to fuse are not sufficient evidence, and similarly FRAP experiments, if used, must be held to a higher standard than they are currently and the results interpreted with caution.

Better and more creative assays are in high demand. While the appropriate experiments will clearly depend on the exact system under study, there are at least a few promising avenues. Advances in light microscopy and spectroscopy allow quantitative measurements of absolute protein abundance, with and without fluorescent labels. For example, even if the exact critical concentration remains elusive to quantify for a given system, theory would predict that within a cell, the putative condensates should have equivalent concentrations of the phase separation molecule (as assayed by the fluorescence intensity per volume, for example). Single molecule tracking experiments would be a desirable substitute for FRAP and have proven to be critical in uncovering an alternative compartmentalization mechanism in the case of herpesvirus. These results suggest that the application of single-particle tracking techniques in other systems may prove fruitful for examining the effects of putative phases on molecular behavior, as would be predicted by theories around viscoelastic materials.

Another strategy that may more directly diagnose in vivo LLPS would be acute depletion using endogenously appended degron tags, which should allow one to follow the degradation of proteins to determine whether compartments follow the types of behaviors that LLPS would predict (Fig. 1). Other microscopy approaches such as localization of individual molecules within the compartment or super-resolution imaging analysis of compartments which reveal fine structure may help in testing LLPS as a model, as well as its functional consequences. Combined with single-particle tracking experiments, these and other assays might reveal the specific concentration- and state-dependent manner that LLPS predicts, as well as effects on the molecules involved such as changes in diffusive behavior or energetic penalties for crossing between one phase to another.

Lastly, the ability of a protein to undergo phase separation when purified in vitro is an important finding to understand intrinsic properties of that specific protein, but these simplified systems cannot faithfully recapitulate the richness and complexity of interactions that occur within living cells. While these experiments are very useful for defining critical reaction partners, modifications, and energetic parameters, appropriate caution should be exercised when drawing equivalencies between these reconstituted conditions and the environment of the cell in vivo. A protein may phase separate in a test tube, and when produced at extreme quantities may also undergo LLPS inside the cell, but perhaps the more interesting and physiologically relevant interactions are found in less extreme conditions. It should be encouraged for future studies to include a more nuanced discussion on alternative models to phase that will likely provide valuable new insights.

Conclusion

Phase separation as an organizing principle in biology has compelled us to revisit old ideas in a new light and will likely continue to do so. As we have shown, the current state of the field is rich in descriptive evidence for phase separation in cells, but in most cases lacks crucial conclusive data. Roundness, fission and fusion, and speedy fluorescence recovery may bolster support for phase separation as a model—when proper controls are also provided—but the existence of counterexamples that share these properties in the absence of LLPS emphasizes the need for more rigorous and quantitative examination in cells with proteins expressed at the endogenous level. Further, experiments demonstrating the functional impact of phase separation, both at the phenotypic and mechanistic level, remain sorely lacking. Whether or not LLPS turns out to be a general phenomenon of broad functional utility, it should be appreciated that the formation of condensates likely represents only one of many potential avenues that the cell can use to organize its contents to facilitate critical biomolecular interactions at the right scale and temporal cadence.

References 102

  1. 1.

    Alberti S, Gladfelter A, Mittag T. 2019 Considerations and challenges in studying liquid-liquid phase separation and biomolecular condensates. Cell 176: 419–434.

    Not in our library10.1016/j.cell.2018.12.035

  2. 2.
  3. 3.

    Asherie N. 2004 Protein crystallization and phase diagrams. Methods 34: 266–272.

    Not in our library10.1016/j.ymeth.2004.03.028

  4. 4.

    Banani SF, Rice AM, Peeples WB, Lin Y, Jain S, Parker R, Rosen MK. 2016 Compositional control of phase-separated cellular bodies. Cell 166: 651–663.

    Not in our library10.1016/j.cell.2016.06.010

  5. 5.

    Banani SF, Lee HO, Hyman AA, Rosen MK. 2017 Biomolecular condensates: organizers of cellular biochemistry. Nat Rev Mol Cell Biol 18: 285–298.

    Not in our library10.1038/nrm.2017.7

  6. 6.

    Bergeron-Sandoval L-P, Safaee N, Michnick SW. 2016 Mechanisms and consequences of macromolecular phase separation. Cell 165: 1067–1079.

    Not in our library10.1016/j.cell.2016.05.026

  7. 7.

    Berry J, Weber SC, Vaidya N, Haataja M, Brangwynne CP. 2015 RNA transcription modulates phase transition-driven nuclear body assembly. Proc Natl Acad Sci 112: E5237–E5245.

    Not in our library10.1073/pnas.1509317112

  8. 8.

    Boehning M, Dugast-Darzacq C, Rankovic M, Hansen AS, Yu T-K, Marie-Nelly H, McSwiggen DT, Kokic G, Dailey GM, Cramer P, 2018 RNA polymerase II clustering through carboxy-terminal domain phase separation. Nat Struct Mol Biol 25: 833–840.

    Not in our library10.1038/s41594-018-0112-y

  9. 9.

    Boeynaems S, Alberti S, Fawzi NL, Mittag T, Polymenidou M, Rousseau F, Schymkowitz J, Shorter J, Wolozin B, Van Den Bosch L, 2018 Protein phase separation: a new phase in cell biology. Trends Cell Biol 28: 420–435.

    Not in our library10.1016/j.tcb.2018.02.004

  10. 10.

    Boija A, Klein IA, Sabari BR, Dall'Agnese A, Coffey EL, Zamudio AV, Li CH, Shrinivas K, Manteiga JC, Hannett NM, 2018 Transcription factors activate genes through the phase-separation capacity of their activation domains. Cell 175: 1842–1855.e16.

    Not in our library10.1016/j.cell.2018.10.042

  11. 11.

    Bouchard JJ, Otero JH, Scott DC, Szulc E, Martin EW, Sabri N, Granata D, Marzahn MR, Lindorff-Larsen K, Salvatella X, 2018 Cancer mutations of the tumor suppressor SPOP disrupt the formation of active, phase-separated compartments. Mol Cell 72: 19–36.e8.

    Not in our library10.1016/j.molcel.2018.08.027

  12. 12.

    Bracha D, Walls MT, Wei MT, Zhu L, Kurian M, Avalos JL, Toettcher JE, Brangwynne CP. 2018 Mapping local and global liquid phase behavior in living cells using photo-oligomerizable seeds. Cell 175: 1467–1480.e13.

    Not in our library10.1016/j.cell.2018.10.048

  13. 13.

    Brangwynne CP. 2013 Phase transitions and size scaling of membrane-less organelles. J Cell Biol 203: 875–881.

    Not in our library10.1083/jcb.201308087

  14. 14.

    Brangwynne CP, Eckmann CR, Courson DS, Rybarska A, Hoege C, Gharakhani J, Julicher F, Hyman AA. 2009 Germline P granules are liquid droplets that localize by controlled dissolution/condensation. Science 324: 1729–1732.

    Not in our library10.1126/science.1172046

  15. 15.

    Brangwynne CP, Mitchison TJ, Hyman AA. 2011 Active liquid-like behavior of nucleoli determines their size and shape in Xenopus laevis oocytes. Proc Natl Acad Sci 108: 4334–4339.

    Not in our library10.1073/pnas.1017150108

  16. 16.

    Brangwynne CP, Tompa P, Pappu RV. 2015 Polymer physics of intracellular phase transitions. Nat Phys 11: 899–904.

    Not in our library10.1038/nphys3532

  17. 17.

    Cai Y, Hossain MJ, Hériché J-K, Politi AZ, Walther N, Koch B, Wachsmuth M, Nijmeijer B, Kueblbeck M, Martinic-Kavur M, 2018 Experimental and computational framework for a dynamic protein atlas of human cell division. Nature 561: 411–415.

    Not in our library10.1038/s41586-018-0518-z

  18. 18.

    Chang L, Godinez WJ, Kim I-H, Tektonidis M, de Lanerolle P, Eils R, Rohr K, Knipe DM. 2011 Herpesviral replication compartments move and coalesce at nuclear speckles to enhance export of viral late mRNA. Proc Natl Acad Sci 108: E136–E144.

    Not in our library10.1073/pnas.1103411108

  19. 19.

    Cho W-K, Spille J-H, Hecht M, Lee C, Li C, Grube V, Cisse II. 2018 Mediator and RNA polymerase II clusters associate in transcription-dependent condensates. Science 361: 412–415.

    Not in our library10.1126/science.aar4199

  20. 20.

    Chong S, Dugast-Darzacq C, Liu Z, Dong P, Dailey GM, Cattoglio C, Heckert A, Banala S, Lavis L, Darzacq X, 2018 Imaging dynamic and selective low-complexity domain interactions that control gene transcription. Science 361: eaar2555

    Not in our library10.1126/science.aar2555

  21. 21.

    Cisse II, Izeddin I, Causse SZ, Boudarene L, Senecal A, Muresan L, Dugast-Darzacq C, Hajj B, Dahan M, Darzacq X. 2013 Real-time dynamics of RNA polymerase II clustering in live human cells. Science 341: 664–667.

    Not in our library10.1126/science.1239053

  22. 22.

    Courchaine EM, Lu A, Neugebauer KM. 2016 Droplet organelles? EMBO J 35: 1603–1612.

    Not in our library10.15252/embj.201593517

  23. 23.

    Dine E, Gil AA, Uribe G, Brangwynne CP, Toettcher JE. 2018 Protein phase separation provides long-term memory of transient spatial stimuli. Cell Syst 6: 655–663.e5.

    Not in our library10.1016/j.cels.2018.05.002

  24. 24.
  25. 25.

    Elbaum-Garfinkle S, Kim Y, Szczepaniak K, Chen CC-H, Eckmann CR, Myong S, Brangwynne CP. 2015 The disordered P granule protein LAF-1 drives phase separation into droplets with tunable viscosity and dynamics. Proc Natl Acad Sci 112: 7189–7194.

    Not in our library10.1073/pnas.1504822112

  26. 26.

    Fei J, Jadaliha M, Harmon TS, Li ITS, Hua B, Hao Q, Holehouse AS, Reyer M, Sun Q, Freier SM, 2017 Quantitative analysis of multilayer organization of proteins and RNA in nuclear speckles at super resolution. J Cell Sci 130: 4180–4192.

    Not in our library10.1242/jcs.206854

  27. 27.

    Feric M, Vaidya N, Harmon TS, Mitrea DM, Zhu L, Richardson TM, Kriwacki RW, Pappu RV, Brangwynne CP. 2016 Coexisting liquid phases underlie nucleolar subcompartments. Cell 165: 1686–1697.

    Not in our library10.1016/j.cell.2016.04.047

  28. 28.

    Franzmann TM, Jahnel M, Pozniakovsky A, Mahamid J, Holehouse AS, Nüske E, Richter D, Baumeister W, Grill SW, Pappu RV, 2018 Phase separation of a yeast prion protein promotes cellular fitness. Science 359: eaao5654

    Not in our library10.1126/science.aao5654

  29. 29.

    Freeman Rosenzweig ES, Xu B, Kuhn Cuellar L, Martinez-Sanchez A, Schaffer M, Strauss M, Cartwright HN, Ronceray P, Plitzko JM, Förster F, 2017 The eukaryotic CO2-concentrating organelle is l-like and exhibits dynamic reorganization. Cell 171: 148–162.e19.

    Not in our library10.1016/j.cell.2017.08.008

  30. 30.

    Galkin O, Chen K, Nagel RL, Hirsch RE, Vekilov PG. 2002 Liquid-liquid separation in solutions of normal and sickle cell hemoglobin. Proc Natl Acad Sci 99: 8479–8483.

    Not in our library10.1073/pnas.122055299

  31. 31.

    Guo YE, Manteiga JC, Henninger JE, Sabari BR, Dall'Agnese A, Hannett NM, Spille J-H, Afeyan LK, Zamudio AV, Shrinivas K, 2019 Pol II phosphorylation regulates a switch between transcriptional and splicing condensates. Nature 572: 543–548.

    Not in our library10.1038/s41586-019-1464-0

  32. 32.
  33. 33.

    Heller MC, Carpenter JF, Randolph TW. 1996 Effects of phase separating systems on lyophilized hemoglobin. J Pharm Sci 85: 1358–1362.

    Not in our library10.1021/js960019t

  34. 34.

    Hnisz D, Shrinivas K, Young RA, Chakraborty AK, Sharp PA. 2017 A phase separation model for transcriptional control. Cell 169: 13–23.

    Not in our library10.1016/j.cell.2017.02.007

  35. 35.

    Ho JJ, Cattoglio C, McSwiggen DT, Tjian R, Fong YW. 2017 Regulation of DNA demethylation by the XPC DNA repair complex in somatic and pluripotent stem cells. Genes Dev 31: 830–844.

    Not in our library10.1101/gad.295741.116

  36. 36.

    Hyman AA, Weber CA, Jülicher F. 2014 Liquid-liquid phase separation in biology. Annu Rev Cell Dev Biol 30: 39–58.

    Not in our library10.1146/annurev-cellbio-100913-013325

  37. 37.

    Jain A, Vale RD. 2017 RNA phase transitions in repeat expansion disorders. Nature 546: 243–247.

    Not in our library10.1038/nature22386

  38. 38.

    Kato M, Han TW, Xie S, Shi K, Du X, Wu LC, Mirzaei H, Goldsmith EJ, Longgood J, Pei J, 2012 Cell-free formation of RNA granules: low complexity sequence domains form dynamic fibers within hydrogels. Cell 149: 753–767.

    Not in our library10.1016/j.cell.2012.04.017

  39. 39.

    Kroschwald S, Maharana S, Simon A. 2017 Hexanediol: a chemical probe to investigate the material properties of membrane-less compartments. Matters 1–7. doi:10.19185/matters.201702000010

    Not in our library

  40. 40.

    Kwon I, Kato M, Xiang S, Wu L, Theodoropoulos P, Mirzaei H, Han T, Xie S, Corden JL, McKnight SL. 2013 Phosphorylation-regulated binding of RNA polymerase II to fibrous polymers of low-complexity domains. Cell 155: 1049–1060.

    Not in our library10.1016/j.cell.2013.10.033

  41. 41.

    Larson AG, Elnatan D, Keenen MM, Trnka MJ, Johnston JB, Burlingame AL, Agard DA, Redding S, Narlikar GJ. 2017 Liquid droplet formation by HP1α suggests a role for phase separation in heterochromatin. Nature 547: 236–240.

    Not in our library10.1038/nature22822

  42. 42.

    Lawrence RE, Cho KF, Rappold R, Thrun A, Tofaute M, Kim DJ, Moldavski O, Hurley JH, Zoncu R. 2018 A nutrient-induced affinity switch controls mTORC1 activation by its Rag GTPase–Ragulator lysosomal scaffold. Nat Cell Biol 20: 1052–1063.

    Not in our library10.1038/s41556-018-0148-6

  43. 43.

    Li P, Banjade S, Cheng H-C, Kim S, Chen B, Guo L, Llaguno M, Hollingsworth JV, King DS, Banani SF, 2012 Phase transitions in the assembly of multivalent signalling proteins. Nature 483: 336–340.

    Not in our library10.1038/nature10879

  44. 44.
  45. 45.

    Lomakin A, Asherie N, Benedek GB. 1996 Monte Carlo study of phase separation in aqueous protein solutions. J Chem Phys 104: 1646–1656.

    Not in our library10.1063/1.470751

  46. 46.

    Lu H, Yu D, Hansen AS, Ganguly S, Liu R, Heckert A, Darzacq X, Zhou Q. 2018 Phase-separation mechanism for C-terminal hyperphosphorylation of RNA polymerase II. Nature 558: 318–323.

    Not in our library10.1038/s41586-018-0174-3

  47. 47.

    Maharana S, Wang J, Papadopoulos DK, Richter D, Pozniakovsky A, Poser I, Bickle M, Rizk S, Guillén-Boixet J, Franzmann TM, 2018 RNA buffers the phase separation behavior of prion-like RNA binding proteins. Science 360: 918–921.

    Not in our library10.1126/science.aar7366

  48. 48.

    Mao YS, Sunwoo H, Zhang B, Spector DL. 2011a Direct visualization of the co-transcriptional assembly of a nuclear body by noncoding RNAs. Nat Cell Biol 13: 95–101.

    Not in our library10.1038/ncb2140

  49. 49.

    Mao YS, Zhang B, Spector DL. 2011b Biogenesis and function of nuclear bodies. Trends Genet 27: 295–306.

    Not in our library10.1016/j.tig.2011.05.006

  50. 50.

    Mazza D, Abernathy A, Golob N, Morisaki T, McNally JG. 2012 A benchmark for chromatin binding measurements in live cells. Nucleic Acids Res 40: e119

    Not in our library10.1093/nar/gks701

  51. 51.
  52. 52.

    Mir M, Bhaduri B, Wang R, Zhu R, Popescu G. 2012 Quantitative phase imaging. Elsevier Inc, Amsterdam, Netherlands.

    Not in our library

  53. 53.
  54. 54.
  55. 55.

    Mir M, Bickmore W, Furlong E, Narlikar GJ. 2019 Chromatin topology, condensates, and gene regulation: shifting paradigms or just a phase? Development 146: dev182766.

    Not in our library10.1242/dev.182766

  56. 56.
  57. 57.

    Molliex A, Temirov J, Lee J, Coughlin M, Kanagaraj AP, Kim HJ, Mittag T, Taylor JP. 2015 Phase separation by low complexity domains promotes stress granule assembly and drives pathological fibrillization. Cell 163: 123–133.

    Not in our library10.1016/j.cell.2015.09.015

  58. 58.

    Montgomery TH. 1898 Comparative cytological studies, with especial regard to the morphology of the nucleolus. J Morphol 25: 266–584.

    Not in our library

  59. 59.

    Mueller F, Mazza D, Stasevich TJ, McNally JG. 2010 FRAP and kinetic modeling in the analysis of nuclear protein dynamics: what do we really know? Curr Opin Cell Biol 22: 403–411.

    Not in our library10.1016/j.ceb.2010.03.002

  60. 60.

    Nair SJ, Yang L, Meluzzi D, Oh S, Yang F, Friedman MJ, Wang S, Suter T, Alshareedah I, Gamliel A, 2019 Phase separation of ligand-activated enhancers licenses cooperative chromosomal enhancer assembly. Nat Struct Mol Biol 26: 193–203.

    Not in our library10.1038/s41594-019-0190-5

  61. 61.
  62. 62.

    Niewidok B, Igaev M, Pereira da Graca A, Strassner A, Lenzen C, Richter CP, Piehler J, Kurre R, Brandt R. 2018 Single-molecule imaging reveals dynamic biphasic partition of RNA-binding proteins in stress granules. J Cell Biol 217: 1303–1318.

    Not in our library10.1083/jcb.201709007

  63. 63.

    Nishimura K, Fukagawa T, Takisawa H, Kakimoto T, Kanemaki M. 2009 An auxin-based degron system for the rapid depletion of proteins in nonplant cells. Nat Methods 6: 917–922.

    Not in our library10.1038/nmeth.1401

  64. 64.
  65. 65.

    Oltsch F, Klosin A, Julicher F, Hyman AA, Zechner C. 2019 Phase separation provides a mechanism to reduce noise in cells. bioRxiv doi:10.1101/524231.

    Not in our library10.1126/science.aav6691

  66. 66.

    Overbeek JT, Voorn MJ. 1957 Phase separation in polyelectrolyte solutions. Theory of complex coacervation. J Cell Physiol 49: 7–26.

    Not in our library10.1002/jcp.1030490404

  67. 67.

    Pak CW, Kosno M, Holehouse AS, Padrick SB, Mittal A, Ali R, Yunus AA, Liu DR, Pappu RV, Rosen MK. 2016 Sequence determinants of intracellular phase separation by complex coacervation of a disordered protein. Mol Cell 63: 72–85.

    Not in our library10.1016/j.molcel.2016.05.042

  68. 68.

    Patel A, Lee HO, Jawerth L, Maharana S, Jahnel M, Hein MY, Stoynov S, Mahamid J, Saha S, Franzmann TM, 2015 A liquid-to-solid phase transition of the ALS protein FUS accelerated by disease mutation. Cell 162: 1066–1077.

    Not in our library10.1016/j.cell.2015.07.047

  69. 69.

    Putnam A, Cassani M, Smith J, Seydoux G. 2019 A gel phase promotes condensation of liquid P granules in Caenorhabditis elegans embryos. Nat Struct Mol Biol 26: 220–226.

    Not in our library10.1038/s41594-019-0193-2

  70. 70.

    Reinkemeier CD, Girona GE, Lemke EA. 2019 Designer membraneless organelles enable codon reassignment of selected mRNAs in eukaryotes. Science 363: eaaw2644

    Not in our library10.1126/science.aaw2644

  71. 71.

    Riback JA, Katanski CD, Kear-Scott JL, Pilipenko EV, Rojek AE, Sosnick TR, Drummond DA. 2017 Stress-triggered phase separation is an adaptive, evolutionarily tuned response. Cell 168: 1028–1040.e19.

    Not in our library10.1016/j.cell.2017.02.027

  72. 72.
  73. 73.

    Sabari BR, Dall'Agnese A, Boija A, Klein IA, Coffey EL, Shrinivas K, Abraham BJ, Hannett NM, Zamudio AV, Manteiga JC, 2018 Coactivator condensation at super-enhancers links phase separation and gene control. Science 361: eaar3958

    Not in our library10.1126/science.aar3958

  74. 74.

    Schmidt HB, Rohatgi R. 2016 In vivo formation of vacuolated multi-phase compartments lacking membranes. Cell Rep 16: 1228–1236.

    Not in our library10.1016/j.celrep.2016.06.088

  75. 75.

    Shevtsov SP, Dundr M. 2011 Nucleation of nuclear bodies by RNA. Nat Cell Biol 13: 167–173.

    Not in our library10.1038/ncb2157

  76. 76.

    Shin Y, Berry J, Pannucci N, Haataja MP, Toettcher JE, Brangwynne CP. 2017 Spatiotemporal control of intracellular phase transitions using light-activated optoDroplets. Cell 168: 159–171.e14.

    Not in our library10.1016/j.cell.2016.11.054

  77. 77.

    Shin Y, Chang Y-C, Lee DSW, Berry J, Sanders DW, Ronceray P, Wingreen NS, Haataja M, Brangwynne CP. 2018 Liquid nuclear condensates mechanically sense and restructure the genome. Cell 175: 1481–1491.e13.

    Not in our library10.1016/j.cell.2018.10.057

  78. 78.

    Shrinivas K, Sabari BR, Coffey EL, Klein IA, Boija A, Zamudio AV, Schuijers J, Hannett NM, Sharp PA, Young RA, 2018 Enhancer features that drive formation of transcriptional condensates. Molecular Cell

    Not in our library10.1016/j.molcel.2019.07.009

  79. 79.
  80. 80.

    Sprague BL, McNally JG. 2005 FRAP analysis of binding: proper and fitting. Trends Cell Biol 15: 84–91.

    Not in our library10.1016/j.tcb.2004.12.001

  81. 81.

    Sprague BL, Pego RL, Stavreva Da, McNally JG. 2004 Analysis of binding reactions by fluorescence recovery after photobleaching. Biophys J 86: 3473–3495.

    Not in our library10.1529/biophysj.103.026765

  82. 82.

    Sprague BL, Müller F, Pego RL, Bungay PM, Stavreva Da, McNally JG. 2006 Analysis of binding at a single spatially localized cluster of binding sites by fluorescence recovery after photobleaching. Biophys J 91: 1169–1191.

    Not in our library10.1529/biophysj.105.073676

  83. 83.

    Strom AR, Emelyanov AV, Mir M, Fyodorov DV, Darzacq X, Karpen GH. 2017 Phase separation drives heterochromatin domain formation. Nature 547: 241–245.

    Not in our library10.1038/nature22989

  84. 84.

    Strulson CA, Molden RC, Keating CD, Bevilacqua PC. 2012 RNA catalysis through compartmentalization. Nat Chem 4: 941–946.

    Not in our library10.1038/nchem.1466

  85. 85.

    Su X, Ditlev JA, Hui E, Xing W, Banjade S, Okrut J, King DS, Taunton J, Rosen MK, Vale RD. 2016 Phase separation of signaling molecules promotes T cell receptor signal transduction. Science 352: 595–599.

    Not in our library10.1126/science.aad9964

  86. 86.

    Taylor TJ, McNamee EE, Day C, Knipe DM. 2003 Herpes simplex virus replication compartments can form by coalescence of smaller compartments. Virology 309: 232–247.

    Not in our library10.1016/s0042-6822(03)00107-7

  87. 87.

    Taylor NO, Wei MT, Stone HA, Brangwynne CP. 2019 Quantifying dynamics in phase-separated condensates using fluorescence recovery after photobleaching. Biophys J doi: 10.1016/j.bpj.2019.08.030.

    Not in our library10.1016/j.bpj.2019.08.030

  88. 88.
  89. 89.

    Teves SS, An L, Bhargava-Shah A, Xie L, Darzacq X, Tjian R. 2018 A stable mode of bookmarking by TBP recruits RNA Polymerase II to mitotic chromosomes. Elife 7

    Not in our library10.7554/elife.35621

  90. 90.

    Vekilov PG. 2010 Phase transitions of folded proteins. Soft Matter 6: 5254–5272.

    Not in our library10.1039/c0sm00215a

  91. 91.

    Velasco E, Mederos L, Navascués G. 1998 Phase diagram of colloidal systems. Langmuir 14: 5652–5655.

    Not in our library10.1021/la980126y

  92. 92.
  93. 93.

    Wang Z, Millet L, Mir M, Ding H, Unarunotai S, Rogers J, Gillette MU, Popescu G. 2011 Spatial light interference microscopy (SLIM). Opt Express 19: 1016–1026.

    Not in our library10.1364/oe.19.001016

  94. 94.

    Wang J, Choi J-M, Holehouse AS, Lee HO, Zhang X, Jahnel M, Maharana S, Lemaitre R, Pozniakovsky A, Drechsel D, 2018 A molecular grammar governing the driving forces for phase separation of prion-like RNA binding proteins. Cell 174: 688–699.e16.

    Not in our library10.1016/j.cell.2018.06.006

  95. 95.

    Weber SC, Brangwynne CP. 2015 Inverse size scaling of the nucleolus by a concentration-dependent phase transition. Curr Biol 25: 641–646.

    Not in our library10.1016/j.cub.2015.01.012

  96. 96.

    Wegmann S, Eftekharzadeh B, Tepper K, Zoltowska KM, Bennett RE, Dujardin S, Laskowski PR, MacKenzie D, Kamath T, Commins C, 2018 Tau protein liquid–liquid phase separation can initiate tau aggregation. EMBO J 37: 1–21.

    Not in our library10.15252/embj.201798049

  97. 97.

    Wei MT, Elbaum-Garfinkle S, Holehouse AS, Chen CCH, Feric M, Arnold CB, Priestley RD, Pappu RV, Brangwynne CP. 2017 Phase behaviour of disordered proteins underlying low density and high permeability of liquid organelles. Nat Chem 9: 1118–1125.

    Not in our library10.1038/nchem.2803

  98. 98.

    West JA, Mito M, Kurosaka S, Takumi T, Tanegashima C, Chujo T, Yanaka K, Kingston RE, Hirose T, Bond C, 2016 Structural, super-resolution microscopy analysis of paraspeckle nuclear body organization. J Cell Biol 214.

    Not in our library10.1083/jcb.201601071

  99. 99.

    Wilson EB. 1899 The structure of protoplasm. Science 10: 33–45.

    Not in our library10.1126/science.10.237.33

  100. 100.

    Woodruff JB, Ferreira Gomes B, Widlund PO, Mahamid J, Honigmann A, Hyman AA. 2017 The centrosome is a selective condensate that nucleates microtubules by concentrating tubulin. Cell 169: 1066–1077.e10.

    Not in our library10.1016/j.cell.2017.05.028

  101. 101.

    Xie L, Dong P, Qi Y, Marzio De M, Chen X, Banala S, Wesley R. 2019 Super-resolution imaging reveals 3D structure and organizing mechanism of accessible chromatin. bioRxiv.

    Not in our library10.1101/678649

  102. 102.

    Zhang H, Elbaum-Garfinkle S, Langdon EM, Taylor N, Occhipinti P, Bridges AA, Brangwynne CP, Gladfelter AS. 2015 RNA controls PolyQ protein phase transitions. Mol Cell 60: 220–230.

    Not in our library10.1016/j.molcel.2015.09.017

Cited by papers we hold 9

Reads

Read by people on this page

None yet.

Checked or read by AI through naulon

None yet.

A person counts once a day per paper. We keep no cookie and no address: a reader is a hash that changes every day. Any month under five reads shows no number.

Are you an author?

Is this your paper?

Claim it to add your note and be paid when agents cite it. Free.