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A pulse-chasable reporter processing assay for mammalian autophagic flux with HaloTag

Willa Wen-You Yim, Hayashi Yamamoto, Noboru Mizushima

eLife · 2022 · CC BY

doi:10.7554/elife.78923

Abstract

Monitoring autophagic flux is necessary for most autophagy studies. The autophagic flux assays currently available for mammalian cells are generally complicated and do not yield highly quantitative results. Yeast autophagic flux is routinely monitored with the green fluorescence protein (GFP)-based processing assay, whereby the amount of GFP proteolytically released from GFP-containing reporters (e.g. GFP-Atg8), detected by immunoblotting, reflects autophagic flux. However, this simple and effective assay is typically inapplicable to mammalian cells because GFP is efficiently degraded in lysosomes while the more proteolytically resistant red fluorescent protein (RFP) accumulates in lysosomes under basal conditions. Here, we report a HaloTag (Halo)-based reporter processing assay to monitor mammalian autophagic flux. We found that Halo is sensitive to lysosomal proteolysis but becomes resistant upon ligand binding. When delivered into lysosomes by autophagy, pulse-labeled Halo-based reporters (e.g. Halo-LC3 and Halo-GFP) are proteolytically processed to generate Halo ligand when delivered into lysosomes by autophagy. Hence, the amount of free Halo ligand detected by immunoblotting or in-gel fluorescence imaging reflects autophagic flux. We demonstrate the applications of this assay by monitoring the autophagy pathways, macroautophagy, selective autophagy, and even bulk nonselective autophagy. With the Halo-based processing assay, mammalian autophagic flux and lysosome-mediated degradation can be monitored easily and precisely.

Full text

From PubMed Central, U.S. National Library of Medicine, as current on Oct 24, 2026. Paragraph numbers are ours, so an answer can point at one.

Introduction

Autophagy is the lysosome-based degradation system in eukaryotes essential for cellular homeostasis as part of intracellular quality control and intracellular remodeling during environmental adaptation. Dysregulated autophagy is associated with aging and diseases. Macroautophagy and microautophagy are major autophagy pathways by which cytoplasmic material is delivered to lysosomes for degradation. The former pathway involves the formation of an autophagosome that sequesters material and fuses with lysosomes while the latter pathway occurs via direct invagination of the lysosomal membrane. ‘Autophagy’ will refer to macroautophagy and microautophagy, collectively hereafter. Autophagic activity is the uninterrupted series of events that begins with material entering lysosomes and ends with their degradation by lysosomal hydrolases. The amount of autophagic degradation is often referred to as autophagic flux.

Monitoring autophagic flux is integral to studying autophagy. Quantitative assays have been developed for Saccharomyces cerevisiae, with the GFP-Atg8 processing assay being the most commonly used. GFP-Atg8 localizes to both outer and inner autophagosomal membranes and is delivered into the vacuole as part of autophagic bodies (inner membrane-delimited vesicles), where GFP-Atg8 is then processed by vacuolar proteases. Unlike Atg8, GFP is relatively stable against vacuolar proteolysis and accumulates in the vacuole as autophagy progresses. The amount of free GFP detected by immunoblotting thus reflects autophagic flux. Additionally, this assay can be adapted to monitor specific forms of autophagy by replacing Atg8 in the reporter with one’s protein of interest, such as with the mitochondrial protein Om45 to monitor mitophagy (selective autophagy of mitochondria) or the cytosolic protein Pgk1 to monitor bulk nonselective autophagy. The versatility and ease of implementing the reporter processing assay are reasons why it is routinely used in yeast autophagy studies.

Implementing the GFP-Atg8 processing assay in mammalian cells (using LC3 and GABARAP family proteins) has been challenging because GFP is rapidly degraded in mammalian lysosomes. Only a few studies have succeeded in detecting the release of free GFP. Although the success rate could be increased by raising the luminal pH of lysosomes with nonsaturating concentrations of lysosomotropic agents, doing so might also affect GFP-LC3 processing itself and thus would require careful optimization. The difficulties in properly executing the GFP-LC3 processing assay prompted researchers to develop other assays.

In mammalian cells, autophagic flux is often estimated from the amount of selective autophagic cargo degraded or, with the LC3 turnover assay, the amount of LC3-II produced in the presence of a lysosomal inhibitor (i.e. the amount of LC3-II that would have otherwise been degraded;;; ). Autophagic flux can also be monitored with the fluorescent reporters, RFP-GFP-LC3 and GFP-LC3-RFP, with which autophagic flux is determined from the reduction in GFP fluorescence compared to the relatively unchanging fluorescence of the lysosome-resistant RFP and cytosol-localizing RFP, respectively. However, each assay has its own limitations (for a full list, see; ). Some require the use of a lysosomal inhibitor control, which can limit the assay’s dynamic range and cause side-effects, while others are complicated or are low in sensitivity. Failing to consider and address the limitations may lead to misinterpretations of autophagic flux.

Here, we report the HaloTag (Halo)-based processing assay, a simple and effective method to quantitatively monitor autophagic flux in mammalian cells. We found that Halo becomes proteolytically resistant upon ligand binding. Pulse-labeling with Halo ligand creates a pool of Halo-based reporters that, when delivered into lysosomes by autophagy, are proteolytically processed to release stable free Haloligand (Halo covalently conjugated with its ligand). The amount of free Haloligand thus reflects autophagic flux specifically. Moreover, Halo-based reporters can also be used by fluorescence microscopy and other means. We demonstrate the applications of this assay by monitoring macroautophagy, selective autophagy, and bulk nonselective autophagy.

A HaloTag-LC3B processing assay to quantify autophagic flux in mammalian cells

Although a few studies have succeeded in doing so, implementing the equivalent of the routinely used yeast GFP-Atg8 processing assay in mammalian cells is challenging. With monomeric GFP (mGFP)-LC3B, a small amount of free mGFP was produced in wild-type HeLa cells but not in FIP200 knockout (KO) cells under both growing and starvation conditions, indicating that free mGFP was generated in an autophagy-dependent manner (Figure 1a). However, although a starvation-induced decrease of mGFP-LC3B levels was detected, an increase in free mGFP levels was not (Figure 1a, left) as mGFP is degraded in mammalian lysosomes like other GFPs. Replacing mGFP with the proteolytically resistant monomeric RFP (mRFP) allowed for an increase in free mRFP levels upon starvation to be detected (Figure 1a, right), but the increase was not apparent due to the pre-existing mRFP band (Figure 1a, right) that probably resulted from basal autophagy-mediated lysosomal accumulation. Hence, it is difficult to detect mammalian autophagic flux with a GFP- or RFP-tagged LC3 processing assay.

To implement the tagged LC3 processing assay in mammalian cells, we searched for a protein tag that could be made resistant to lysosomal proteases and thus would not accumulate in lysosomes constitutively. Since ligand binding is known to increase a protein’s thermal stability and proteolytic resistance, we selected two protein tags that covalently bind with their respective ligands as candidate tags: Halo and SNAP-tag (SNAP).

HeLa cells stably expressing Halo-LC3B or SNAP-LC3B were exposed to their respective tetramethylrhodamine (TMR)-conjugated ligands for 20 min and then washed of the ligands. After 6 hr of starvation, a starvation-induced decrease in labeled and unlabeled Halo-LC3B was observed by immunoblotting and, for labeled HaloTMR-LC3B, in-gel fluorescence detection (Figure 1b). Strikingly, free Halo was detected only for HaloTMR-LC3B. The decrease in Halo-LC3B and HaloTMR-LC3B levels and appearance of free HaloTMR were dependent on autophagy and lysosomal enzymatic activity as they were suppressed in FIP200 KO cells (Figure 1b–c) and by the lysosomal inhibitor bafilomycin A1 (;; Figure 1c). Removal of the ligand was enough to prevent further labeling (Figure 1—figure supplement 1, compare lanes 8–10), avoiding the need for a blocking agent. In contrast, the generation of free SNAP was not detected from ligand-free and ligand-bound SNAP-LC3 during starvation (Figure 1d). Taken together, these data indicate that ligand-free Halo is susceptible to proteolysis but, unlike SNAP, Halo becomes resistant to proteolysis after covalently binding to its ligand and persists in lysosomes (Figure 1e). Therefore, autophagic flux can be quantitatively determined with pulse-chasable Halo-based reporters.

To assess the sensitivity and linearity of Halo-LC3B processing to the levels of autophagic activity, we obtained results for several time points between 0 and 8 hr of starvation. The amount of free HaloTMR generated from HaloTMR-LC3B was detected as early as 0.5 hr of starvation and increased over time (Figure 1f). Calculation of the ratio of released HaloTMR to total HaloTMR (HaloTMR-LC3B+HaloTMR) showed a linear increase of free HaloTMR levels that was readily reproducible (Figure 1g). The advantages of the processing assay are: (1) pulse-labeling ensures that the starting amount of HaloTMR-LC3B is relatively the same for each experimental condition (here, each time point), (2) the amount of free Halo is a positive readout (i.e. a signal is produced rather than reduced by autophagy), and (3) quantifying the amount of free HaloTMR produced is self-contained without the need for additional controls such as a lysosomal inhibitor control or a loading control. The Halo-LC3B processing assay is thus a simple and sensitive method with a wide linear range to quantitatively monitor autophagic flux in mammalian cells.

HaloTag-based reporters to monitor autophagic flux by fluorescence microscopy

Next, we visualized the localization of mGFP-LC3B, mRFP-LC3B, and Halo-LC3B in HeLa cells. The number of mGFP-LC3B puncta increased during the first 2 hr of starvation but did not increase thereafter (Figure 2a and c), which is likely due to the quenching of mGFP signal in autolysosomes. Under growing conditions, many mRFP-LC3B puncta were already present and their high rate of colocalization with LysoTracker revealed them to be lysosomes (Figure 2a), demonstrating mRFP’s stability in acidic compartments. Furthermore, an increase in the number of mRFP-LC3B puncta during starvation was not detected (Figure 2a and c), likely because the formation of mRFP-LC3B-marked autophagosomes was masked by the pre-existing intense lysosomal mRFP signal. Contrastingly, Halo-LC3B that was labeled with ligand conjugated to fluorogenic SaraFluor 650T (SF650) demonstrated only a few faint punctate structures immediately after labeling, and starvation induced a continuous increase in the number of HaloSF650-positive puncta over time (Figure 2b and c). Many of the HaloSF650-positive puncta are autolysosomes as they colocalized with LysoTracker (Figure 2b) and the lysosomal membrane protein LAMP1 (Figure 2—figure supplement 1a), which shows that HaloSF650 is stable in acidic lysosomes. Although autophagosomes cannot be distinguished from autolysosomes with Halo-LC3, the number of ligand-bound Halo puncta formed following pulse-labeling of Halo-based reporters can indicate autophagic flux.

The minimal lysosomal background signal of the Halo-based assay prompted us to use Halo instead of mRFP in the established mRFP-mGFP-LC3B reporter (Figure 2d; ). This reporter was originally developed to distinguish between mRFP-positive mGFP-positive (mRFP+mGFP+) autophagosomes and mRFP-positive mGFP-negative (mRFP+mGFP–) autolysosomes, but the constitutive accumulation of mRFP in lysosomes often hinders the detection of newly generated autolysosomes (mRFP+mGFP–) (Figure 2—figure supplement 1b and c). In contrast, HaloSF650-mGFP-LC3 was mostly cytosolic immediately after labeling (Figure 2e, Figure 2—figure supplement 1d). Starvation induced the formation of HaloSF650+mGFP+ puncta that represent autophagosomes (arrowheads) and HaloSF650+mGFP– puncta that represent autolysosomes (arrows) as confirmed by their colocalization with LysoTracker or LAMP1-mRuby3 (Figure 2e and f, Figure 2—figure supplement 1d). Adding the lysosomal inhibitor bafilomycin A1 resulted in the accumulation of HaloSF650+ and mGFP+ in autophagosomes and autolysosomes (Figure 2e and f, Figure 2—figure supplement 1d). Hence, the lack of pre-existing lysosomal accumulation makes Halo-mGFP-LC3B a preferable alternative to mRFP-mGFP-LC3B as a fluorescence microscopy-based autophagic flux reporter.

We also generated Halo-mGFP-LC3B-mRFP as a modified version of the EGFP-LC3B-mRFP reporter. With the original EGFP-LC3B-mRFP reporter, autophagic flux can be estimated from GFP:RFP fluorescence ratio because this reporter is cleaved into EGFP-LC3B and mRFP by ATG4 and only EGFP-LC3B is degraded by autophagy since mRFP remains in the cytosol. Adding Halo at the N-terminus of mGFP-LC3B-mRFP yielded a reporter that can be used in the processing assay (Figure 2—figure supplement 1e), the autophagosome/autolysosome formation assay (Figure 2—figure supplement 1f), and the GFP:RFP ratiometry assay (Figure 2—figure supplement 1g). Thus, Halo-mGFP-LC3B-mRFP can be used as a stably expressed ‘three-in-one’ reporter.

In summary, pulse-chasable Halo-based reporters are suitable for monitoring autophagic flux by fluorescence microscopy in addition to the processing assay readout.

The HaloTag-based processing assay can be adapted to monitor selective autophagy pathways

A major advantage of the yeast GFP-Atg8 processing assay is its versatility: Atg8 can be replaced with a protein of interest to monitor the activity of selective autophagy, such as endoplasmic reticulum (ER)-phagy and mitophagy. Hence, we prepared Halo-mGFP-KDEL that localizes to the ER lumen (Figure 3—figure supplement 1a) and pSu9-Halo-mGFP that localizes to the mitochondrial matrix (Figure 3—figure supplement 1b). Generation of the 33 kDa HaloTMR band from pulse-labeled HaloTMR-mGFP-KDEL was detected in a FIP200-dependent manner upon starvation (Figure 3a and b). Production of free HaloTMR was a clear indicator of ER-phagy than the reduction in ER protein levels (Figure 3a–b vs. Figure 3c-d). With fluorescence microscopy, ER-phagy flux was detected by the formation of HaloSF650+mGFP– puncta that colocalized with LysoTracker (Figure 3e and f) and LAMP1 (Figure 3—figure supplement 1c). Similarly, Parkin-mediated mitophagic activity induced by oligomycin and antimycin treatment was detected by pSu9-Halo-mGFP processing (Figure 3g and h) as well as the formation of HaloSF650+mGFP– puncta colocalized with the lysosome (Figure 3i and j, Figure 3—figure supplement 1d). An additional 37 kDa HaloTag band was observed in the SDS-PAGE based results (Figure 3a and g) that is most likely a cleavage product of the HaloTag constructs. The lack of cytosolic Halo and GFP signal (Figure 3e and i) indicates that this still-fluorescent product (in-gel fluorescence images in Figure 3a and g) localizes to the targeted organelle and would not result in background signal that might interfere with result interpretation. Therefore, the Halo-based assays can be adapted to monitor selective autophagic flux.

Bulk nonselective autophagic flux can be detected with the HaloTag-based processing assay

Finally, we examined whether the Halo-based processing assay could be used to detect bulk nonselective autophagic flux, which more accurately reflects total autophagic flux compared to LC3-based methods since LC3 and GABARAP family proteins are preferentially degraded by autophagy. To monitor nonselective clearance of cytosolic material, we constructed Halo-mGFP, which should be taken up randomly into autophagosomes or lysosomes like the yeast Pgk1-GFP reporter.

Despite occurring at much lower levels than LC3-dependent autophagic flux detected by HaloTMR-LC3B, the lack of lysosomal background allowed us to detect the generation of free HaloTMR from pulse-labeled HaloTMR-mGFP (Figure 4a). Accordingly, we were able to track the progression of starvation-induced bulk nonselective autophagic flux over time by HaloTMR-mGFP processing (Figure 4b and c) and by visualizing the gradual accumulation of HaloSF650 signal in the lysosomes of cells stably expressing Halo-mGFP labeled with SF650 ligand (Figure 4d and e, Figure 4—figure supplement 1a and b). HaloTMR-mGFP processing and HaloSF650 puncta formation were not observed in FIP200 KO cells (Figure 4a and d). In contrast, HaloTMR-mGFP processing was slightly detected in ATG3 KO and ATG5 KO cells (Figure 4a), which is consistent with our previous finding that the ATG conjugation systems are not completely essential in mammalian cells. These results show that the Halo-GFP processing assay can be used to monitor bulk nonselective autophagic flux, even in cells lacking ATG conjugation system components.

Discussion

It is generally difficult to implement the autophagic flux assays currently available for mammalian cells. In this study, we showed that the Halo-based processing assay is a simple yet effective way to quantitatively monitor various forms of autophagic flux in mammalian cells, from LC3-dependent autophagic flux to bulk nonselective autophagy. While this manuscript was being prepared, an independent study on the use of Halo-based reporters to monitor autophagic flux was published. In contrast to our main aim of developing a reporter processing assay for mammalian cells, Rudinskiy et al. sought to overcome the issue of lysosomal RFP accumulation with Halo-based reporters that can be fluorescently ‘activated’ upon binding to fluorescent ligands. Our study demonstrated that the ‘activation’ of Halo-based reporters is achieved not only by the introduction of fluorescent Halo ligand but, importantly, also by the stabilization of Halo against proteolysis after ligand binding.

The most significant advantage the HaloTag reporters have over currently available ATG8-based reporters and autophagy assays is that they can be used in a pulse-chase manner. This allows for minimal background noise since unlabeled reporters will not accumulate within lysosomes, and for the readout of free Halo to be unambiguously autophagy-dependent since it occurs only when the reporter has been labeled, delivered into, and processed in lysosomes. Another major advantage is the dispensation of a lysosome inhibitor control that may affect transcription/translation. Furthermore, reporter processing can be detected by immunoblotting, which is a widely available and commonly used laboratory technique. It can also be detected by in-gel imaging if available, which would reduce the time required to obtain results. Last, by replacing the partner protein of Halo, users can easily adapt the assay to monitor their autophagy pathway of interest or the autophagic clearance of a protein of interest.

The assay does have limitations. One that is inevitable is the need for exogenous expression. For experiments that are sensitive to variation in expression levels, clonal isolation may be required. Furthermore, the cost of Halo ligands might be prohibitive. A more cost-effective alternative could be the non-fluorescent Halo ligands, such as 7-bromoheptanol, which were developed as blocking agents, and Halo band detection would be achieved only by immunoblotting. Another limitation is the difficulty in quantifying the absolute rate of reporter incorporation into lysosomes precisely due to the gradual degradation of even Haloligand. Additionally, the need to electrophoretically separate the full-length reporter from the free Haloligand band limits the use of this assay for large-scale screening. However, the good signal-to-noise ratio of Halo reporters in fluorescent imaging makes them ideal reporters for microscopy-based high-content screening in the same manner as was achieved with GFP-LC3 and dual-fluorescent Rosella-LC3. Finally, Halo-LC3 reporter processing is not suitable for monitoring the activity of non-canonical forms of autophagy, where LC3 is conjugated to single-membrane organelles (e.g. LC3-associated phagocytosis;; ) as the reporter will not be delivered into lysosomes.

We anticipate the Halo-based processing assay to be useful to most studies on mammalian autophagy and lysosome-dependent protein clearance. With Halo-GFP, researchers can investigate the contribution of autophagy proteins by examining whether altering a protein by depletion/inhibition/mutation will affect nonselective autophagic flux. This may be especially useful to researchers investigating proteins that are directly required for commonly used autophagic flux assays, such as factors involved in the LC3 or GABARAP conjugation systems. Indeed, we managed to detect low levels of autophagic flux in ATG3 KO and ATG5 KO cells (Figure 4a), which cannot be detected by conventional LC3-based assays. This result is consistent with the recent consensus that, although severely reduced, autophagic flux is not completely blocked in cells lacking the ATG conjugation systems (reviewed in ). Halo-GFP could also be potentially used to study microautophagy. Furthermore, Halo-based reporters have been successfully employed in animal models such as mice and zebrafish, which suggest that the processing assay could be an additional method for assessing in vivo autophagic flux, e.g. when comparing autophagic flux among tissues.

In conclusion, the Halo-based processing assay can be used to monitor mammalian autophagic flux quantitatively and reliably with relative ease. The Halo-based reporters can also be readily observed by fluorescence microscopy. Besides serving as an alternative to conventional autophagic flux assays, the Halo-based assay has a myriad of potential applications that may lead to the discovery of new aspects and thus a deeper understanding of mammalian autophagy.

Cell lines and culture conditions

HeLa cells, human embryonic kidney (HEK) 293T cells, and mouse embryonic fibroblasts (MEFs) authenticated by RIKEN were used in this study. Cells were maintained in Dulbecco’s Modified Eagle Medium (DMEM; Sigma-Aldrich, D6546) supplemented with 10% fetal bovine serum (FBS; Sigma-Aldrich, 173012) and 2 mM l-glutamine (Gibco, 25030–081) in a 5% CO2 incubator at 37°C. FIP200 KO HeLa cells and Fip200 KO MEFs have been described previously.

Plasmids

Plasmids for stable expression in HeLa cells were generated as follows: DNA fragments encoding monomeric enhanced GFP with A206K mutation (mGFP), monomeric RFP (mRFP), mRuby3 (codon-optimized from Addgene #74252), HaloTag7 (Promega, N2701), or SNAP-tag (New England BioLabs, N9181S) were inserted into the retroviral plasmids pMRX-IP (harboring a puromycin-resistant marker;; ), pMRX-IB (harboring a blasticidin-resistant marker; ), or pMRX-No (without a drug resistance marker) by the seamless ligation cloning extract (SLiCE) method. Then, DNA fragments encoding rat LC3B, the signal sequence of Drosophila BiP (residues 1–18) and KDEL (for pMRX-IB-Halo-mGFP-KDEL), or the presequence of Neurospora crassa Fo-ATPase subunit 9 (residues 1–69; for pMRX-IB-pSu9-Halo-mGFP) were inserted into the pMRX-IP-, pMRX-IB-, pMRX-No-based plasmids by the SLiCE method. mRFP-GFP-LC3B in pMXs was described previously. Primers used in this study are listed in Supplementary file 1. Plasmids containing the Halo constructs used in this study can be found in addgene: 184899 (Halo-LC3), 184901 (Halo-mGFP-rLC3), 184902 (Halo-mGFP), 184904 (Halo-mGFP-KDEL), and 184905 (pSu9-Halo-mGFP).

Stable expression in HeLa cells and MEFs by retrovirus infection

To prepare the retrovirus solution, HEK293T cells were transfected for 4–6 hr with the pMRX-IP-based, pMRX-IB-based, or pMXs-based retroviral plasmid, pCG-gag-pol, and pCG-VSV-G using Lipofectamine 2000 (Thermo Fisher Scientific, 11668019), following which the medium was replaced with DMEM. After 2–3 days, the retrovirus-containing medium was harvested, filtered with a 0.45 μm filter unit (Millipore, Ultrafree-MC), and added to HeLa cells with 8 μg/mL polybrene (Sigma-Aldrich, H9268). After a day, selection was performed with 1–2 μg/mL puromycin (Sigma-Aldrich, P8833) or 2–3 μg/mL blasticidin (Fujifilm Wako Pure Chemical Corporation, 022–18713).

Antibodies and reagents

Primary antibodies used in this study are as listed: mouse monoclonal anti-Halo (Promega, G9211), rabbit polyclonal anti-SNAP-tag (New England BioLabs, P9310S), mouse monoclonal anti-HSP90 (BD Transduction Laboratories, 610419), anti-β-actin (Sigma-Aldrich, A2228), rabbit polyclonal anti-LC3, rabbit polyclonal anti-GFP (Thermo Fisher Scientific, A6455), and mouse monoclonal anti-RFP (MBL, M155-3). Secondary antibodies are HRP-conjugated goat polyclonal anti-rabbit IgG (Jackson ImmunoResearch Laboratories, 111-035-144) and HRP-conjugated goat polyclonal anti-mouse IgG (Jackson ImmunoResearch Laboratories, 115-035-003). LysoTracker Red DND-99 or Deep Red (Thermo Fisher Scientific, L7528, L12492) were applied at 75 nM.

Protein extraction

Cells were incubated in DMEM with 100 nM TMR-conjugated Halo ligand (Promega, G8251) for 20 min. The cells were then collected for protein extraction or washed twice with phosphate-buffered saline (PBS) and incubated with amino acid-free and FBS-free DMEM (Wako Pure Chemical Industries, 048–33575) to induce autophagy by starvation or to DMEM with 1 µM oligomycin (Merck Millipore, 495455) and 2 µM antimycin (Sigma-Aldrich, A8674) to induce mitophagy. After the desired incubation time, cells were scraped into ice-cold PBS and centrifuged at 2000×g for 2 min. The cell pellet was then resuspended in lysis buffer (25 mM HEPES-KOH [pH 7.2], 150 mM NaCl, 2 mM MgSO4, 0.2% n-dodecyl-β-D-maltoside [Nacalai Tesque, 14239–54] with protease inhibitor [Sigma-Aldrich, P8340]). After 20 min of incubation on ice, 1/10 volume of lysis buffer containing benzonase (Merck Millipore, 70664) was added to the cell suspension to a final 1/200 dilution of benzonase. Protein concentration was determined with NanoDrop One spectrophotometer (Thermo Fisher Scientific).

In-gel fluorescence imaging and immunoblotting

For each sample, 20 µg of protein was separated by SDS-PAGE. For in-gel fluorescence imaging, the gel was immediately visualized with FUSION SOLO.7S.EDGE (Vilber-Lourmat) after SDS-PAGE. For immunoblotting, the samples were transferred from the SDS-PAGE gel to Immobilon-P polyvinylidene difluoride membranes (Millipore, WBKLS0500) with Trans-Blot Turbo Transfer System (Bio-Rad). After incubation with the relevant antibody, the signals from incubation with SuperSignal West Pico Chemiluminescent Substrate (Thermo Fisher Scientific, 34579) or Immobilon Western Chemiluminescent HRP Substrate (Millipore, WBKLS0500) were detected with FUSION SOLO.7S.EDGE (Vilber-Lourmat). Band intensities were measured with Gel Analyzer in the open-source image processing software Fiji.

Fluorescence imaging (live-cell)

Imaging was conducted with the Olympus SpinSR10 spinning-disk confocal super-resolution microscope equipped with a Hamamatsu ORCA-Flash 4.0 camera, a UPLAPO OHR 60× (NA 1.50) lens, and the SORA disk in place. The microscope was operated with the Olympus cellSens Dimension 2.3 software.

HeLa cells or MEFs were seeded onto a four-chamber glass-bottom dish (Greiner Bio-One) at least 48 hr before imaging. 20 min before image acquisition, the cells were incubated with 200 nM SF650-conjugated Halo ligand (GoryoChemical, A308-02) in FluoroBrite DMEM (Thermo Fisher Scientific, A1896701) supplemented with 10% FBS, 2 mM L-glutamine, and 50 U/ml penicillin and 50 µg/ml streptomycin (Gibco, 15070–063). After acquiring images of the cells under growing conditions, they were washed with PBS twice and then incubated in amino acid-free and FBS-free DMEM (Wako Pure Chemical Industries, 048–33575) with 200 nM SF650-conjugated Halo ligand to induce autophagy by starvation or in the aforementioned supplemented FluoroBrite DMEM with 200 nM SF650-conjugated Halo ligand, 1 μM oligomycin, and 2 μM antimycin to induce mitophagy.

Images were processed using the open-source image processing software Fiji. Cells were processed individually: each cell was first isolated as a single image, which was later processed. In Figure 2a and b, puncta were identified and counted with White Top Hat (from MorphoLibJ ) followed by Analyze Particles. For double-positive puncta (RFP+GFP+ or Halo+GFP+) and single-positive (RFP+GFP– or Halo+GFP–) puncta identification in Figures 2e, 3e and i, and Figure 2—figure supplement 1b, the positions of the puncta were identified with Find Maxima and marked as points on a binary image for both fluorescence channels. With the binarized images, double-positive puncta were identified with the AND function in Image Calculator (i.e. ‘GFP’ image AND ‘RFP’ image) while single-positive puncta were identified with the Subtract function in Image Calculator (i.e. ‘RFP’ image Subtract ‘GFP’ image). The resulting puncta after each operation were counted with Analyze Particles. In Figure 4e and a 98th percentile threshold was set and the area of the signal remaining after thresholding was measured with Analyze Particles.

Flow cytometry

HeLa cells or MEFs were treated with or without 250 nM Torin1 (Tocris Bioscience, 4247) in DMEM for 24 hr. Each sample was detached by trypsinization, added to an equal volume of DMEM to inactivate trypsin, and centrifuged at 2000×g for 2 min at 4°C. The cell pellet was then resuspended in ice-cold PBS containing 7-amino-actinomycin D (BD Pharmingen, 559925) diluted 1:100. After 10 min on ice, five volumes of ice-cold PBS were added (e.g. 500 μl to 100 μl) and the sample was centrifuged at 2000×g for 2 min at 4°C. The cell pellet was resuspended in ice-cold PBS and subjected to flow cytometry by a cell analyzer (Sony, EC800) equipped with 488 nm and 561 nm lasers. All data points were transferred to Kaluza Analysis 2.1 software (Beckman Coulter) for analysis.

Data and material availability

All data generated or analyzed during this study are included in the manuscript and supporting files. Plasmids and plasmid maps for the constructs stated in this manuscript will be available from Addgene (https://www.addgene.org/Noboru_Mizushima/).

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  12. 12.

    Jiang P, Nishimura T, Sakamaki Y, Itakura E, Hatta T, Natsume T, Mizushima N. The HOPS complex mediates autophagosome-lysosome fusion through interaction with syntaxin 17. Molecular Biology of the Cell. 2014;25:1327-1337.

    Not in our library10.1091/mbc.e13-08-0447

  13. 13.

    Juhász G. Interpretation of bafilomycin, ph neutralizing or protease inhibitor treatments in autophagic flux experiments: novel considerations. Autophagy. 2012;8:1875-1876.

    Not in our library10.4161/auto.21544

  14. 14.

    Kabeya Y, Mizushima N, Ueno T, Yamamoto A, Kirisako T, Noda T, Kominami E, Ohsumi Y, Yoshimori T. LC3, a mammalian homologue of yeast apg8p, is localized in autophagosome membranes after processing. The EMBO Journal. 2000;19:5720-5728.

    Not in our library10.1093/emboj/19.21.5720

  15. 15.

    Kaizuka T, Morishita H, Hama Y, Tsukamoto S, Matsui T, Toyota Y, Kodama A, Ishihara T, Mizushima T, Mizushima N. An autophagic flux probe that releases an internal control. Molecular Cell. 2016;64:835-849.

    Not in our library10.1016/j.molcel.2016.09.037

  16. 16.

    Kanki T, Klionsky DJ. Mitophagy in yeast occurs through a selective mechanism. The Journal of Biological Chemistry. 2008;283:32386-32393.

    Not in our library10.1074/jbc.m802403200

  17. 17.

    Katayama H, Yamamoto A, Mizushima N, Yoshimori T, Miyawaki A. GFP-like proteins stably accumulate in lysosomes. Cell Structure and Function. 2008;33:1-12.

    Not in our library10.1247/csf.07011

  18. 18.

    Kaur U, Meng H, Lui F, Ma R, Ogburn RN, Johnson JHR, Fitzgerald MC, Jones LM. Proteome-wide structural biology: an emerging field for the structural analysis of proteins on the proteomic scale. Journal of Proteome Research. 2018;17:3614-3627.

    Not in our library10.1021/acs.jproteome.8b00341

  19. 19.

    Kawabata T, Yoshimori T. Autophagosome biogenesis and human health. Cell Discovery. 2020;6:33.

    Not in our library10.1038/s41421-020-0166-y

  20. 20.

    Keppler A, Gendreizig S, Gronemeyer T, Pick H, Vogel H, Johnsson K. A general method for the covalent labeling of fusion proteins with small molecules in vivo. Nature Biotechnology. 2003;21:86-89.

    Not in our library10.1038/nbt765

  21. 21.

    Kimura S, Noda T, Yoshimori T. Dissection of the autophagosome maturation process by a novel reporter protein, tandem fluorescent-tagged LC3. Autophagy. 2007;3:452-460.

    Not in our library10.4161/auto.4451

  22. 22.

    Kitamura T, Koshino Y, Shibata F, Oki T, Nakajima H, Nosaka T, Kumagai H. Retrovirus-mediated gene transfer and expression cloning: powerful tools in functional genomics. Experimental Hematology. 2003;31:1007-1014.

    Not in our library10.1016/s0301-472x(03)00260-1

  23. 23.

    Klionsky D.J, Elazar Z, Seglen PO, Rubinsztein DC. Does bafilomycin A1 block the fusion of autophagosomes with lysosomes? Autophagy. 2008;4:849-850.

    Not in our library10.4161/auto.6845

  24. 24.

    Klionsky DJ, Abdel-Aziz AK, Abdelfatah S, Abdellatif M, Abdoli A, Abel S, Abeliovich H, Abildgaard MH, Abudu YP, Acevedo-Arozena A, Adamopoulos IE, Adeli K, Adolph TE, Adornetto A, Aflaki E, Agam G, Agarwal A, Aggarwal BB, Agnello M, Agostinis P, Agrewala JN, Agrotis A, Aguilar PV, Ahmad ST, Ahmed ZM, Ahumada-Castro U, Aits S, Aizawa S, Akkoc Y, Akoumianaki T. Guidelines for the use and interpretation of assays for monitoring autophagy. Autophagy. 2021a;17:1-382.

    Not in our library10.1080/15548627.2020.1797280

  25. 25.
  26. 26.

    Koepke L, Winter B, Grenzner A, Regensburger K, Engelhart S, van der Merwe JA, Krebs S, Blum H, Kirchhoff F, Sparrer KMJ. An improved method for high-throughput quantification of autophagy in mammalian cells. Scientific Reports. 2020;10:12241.

    Not in our library10.1038/s41598-020-68607-w

  27. 27.

    Legland D, Arganda-Carreras I, Andrey P. MorphoLibJ: integrated library and plugins for mathematical morphology with imagej. Bioinformatics. 2016;32:3532-3534.

    Not in our library10.1093/bioinformatics/btw413

  28. 28.
  29. 29.

    Los GV, Encell LP, McDougall MG, Hartzell DD, Karassina N, Zimprich C, Wood MG, Learish R, Ohana RF, Urh M, Simpson D, Mendez J, Zimmerman K, Otto P, Vidugiris G, Zhu J, Darzins A, Klaubert DH, Bulleit RF, Wood KV. HaloTag: a novel protein labeling technology for cell imaging and protein analysis. ACS Chemical Biology. 2008;3:373-382.

    Not in our library10.1021/cb800025k

  30. 30.

    Masch JM, Steffens H, Fischer J, Engelhardt J, Hubrich J, Keller-Findeisen J, D’Este E, Urban NT, Grant SGN, Sahl SJ, Kamin D, Hell SW. Robust nanoscopy of a synaptic protein in living mice by organic-fluorophore labeling. PNAS. 2018;115:E8047-E8056.

    Not in our library10.1073/pnas.1807104115

  31. 31.
  32. 32.

    McKnight NC, Jefferies HBJ, Alemu EA, Saunders RE, Howell M, Johansen T, Tooze SA. Genome-wide sirna screen reveals amino acid starvation-induced autophagy requires SCOC and WAC. The EMBO Journal. 2012;31:1931-1946.

    Not in our library10.1038/emboj.2012.36

  33. 33.

    Merrill RA, Song J, Kephart RA, Klomp AJ, Noack CE, Strack S. A robust and economical pulse-chase protocol to measure the turnover of halotag fusion proteins. The Journal of Biological Chemistry. 2019;294:16164-16171.

    Not in our library10.1074/jbc.ra119.010596

  34. 34.

    Mizushima N, Yoshimori T. How to interpret LC3 immunoblotting. Autophagy. 2007;3:542-545.

    Not in our library10.4161/auto.4600

  35. 35.

    Mizushima N. The ATG conjugation systems in autophagy. Current Opinion in Cell Biology. 2020;63:1-10.

    Not in our library10.1016/j.ceb.2019.12.001

  36. 36.

    Mizushima N, Levine B. Autophagy in human diseases. The New England Journal of Medicine. 2020;383:1564-1576.

    Not in our library10.1056/nejmra2022774

  37. 37.

    Mizushima N, Murphy LO. Autophagy assays for biological discovery and therapeutic development. Trends in Biochemical Sciences. 2020;45:1080-1093.

    Not in our library10.1016/j.tibs.2020.07.006

  38. 38.

    Morita K, Hama Y, Izume T, Tamura N, Ueno T, Yamashita Y, Sakamaki Y, Mimura K, Morishita H, Shihoya W, Nureki O, Mano H, Mizushima N. Genome-wide CRISPR screen identifies TMEM41B as a gene required for autophagosome formation. The Journal of Cell Biology. 2018;217:3817-3828.

    Not in our library10.1083/jcb.201804132

  39. 39.

    Motohashi K. Seamless ligation cloning extract (slice) method using cell lysates from laboratory Escherichia coli strains and its application to slip site-directed mutagenesis. Methods in Molecular Biology. 2017;1498:349-357.

    Not in our library10.1007/978-1-4939-6472-7_23

  40. 40.

    Noda NN, Inagaki F. Mechanisms of autophagy. Annual Review of Biophysics. 2015;44:101-122.

    Not in our library10.1146/annurev-biophys-060414-034248

  41. 41.

    Ohsumi Y. Historical landmarks of autophagy research. Cell Research. 2014;24:9-23.

    Not in our library10.1038/cr.2013.169

  42. 42.

    Orvedahl A, Sumpter R, Xiao G, Ng A, Zou Z, Tang Y, Narimatsu M, Gilpin C, Sun Q, Roth M, Forst CV, Wrana JL, Zhang YE, Luby-Phelps K, Xavier RJ, Xie Y, Levine B. Image-based genome-wide sirna screen identifies selective autophagy factors. Nature. 2011;480:113-117.

    Not in our library10.1038/nature10546

  43. 43.

    Park C, Marqusee S. Pulse proteolysis: a simple method for quantitative determination of protein stability and ligand binding. Nature Methods. 2005;2:207-212.

    Not in our library10.1038/nmeth740

  44. 44.

    Rivas-Pardo JA, Li Y, Mártonfalvi Z, Tapia-Rojo R, Unger A, Fernández-Trasancos Á, Herrero-Galán E, Velázquez-Carreras D, Fernández JM, Linke WA, Alegre-Cebollada J. A halotag-TEV genetic cassette for mechanical phenotyping of proteins from tissues. Nature Communications. 2020;11:2060.

    Not in our library10.1038/s41467-020-15465-9

  45. 45.

    Rudinskiy M, Bergmann TJ, Molinari M. Quantitative and time-resolved monitoring of organelle and protein delivery to the lysosome with a tandem fluorescent halo-GFP reporter. Molecular Biology of the Cell. 2022;33:ar57.

    Not in our library10.1091/mbc.e21-10-0526

  46. 46.

    Saitoh T, Nakayama M, Nakano H, Yagita H, Yamamoto N, Yamaoka S. TWEAK induces NF-kappab2 p100 processing and long lasting NF-kappab activation. The Journal of Biological Chemistry. 2003;278:36005-36012.

    Not in our library10.1074/jbc.m304266200

  47. 47.

    Schindelin J, Arganda-Carreras I, Frise E, Kaynig V, Longair M, Pietzsch T, Preibisch S, Rueden C, Saalfeld S, Schmid B, Tinevez JY, White DJ, Hartenstein V, Eliceiri K, Tomancak P, Cardona A. Fiji: an open-source platform for biological-image analysis. Nature Methods. 2012;9:676-682.

    Not in our library10.1038/nmeth.2019

  48. 48.

    Shintani T, Klionsky DJ. Cargo proteins facilitate the formation of transport vesicles in the cytoplasm to vacuole targeting pathway. The Journal of Biological Chemistry. 2004;279:29889-29894.

    Not in our library10.1074/jbc.m404399200

  49. 49.

    Stankunas K, Bayle JH, Gestwicki JE, Lin YM, Wandless TJ, Crabtree GR. Conditional protein alleles using knockin mice and a chemical inducer of dimerization. Molecular Cell. 2003;12:1615-1624.

    Not in our library10.1016/s1097-2765(03)00491-x

  50. 50.

    Tsuboyama K, Koyama-Honda I, Sakamaki Y, Koike M, Morishita H, Mizushima N. The ATG conjugation systems are important for degradation of the inner autophagosomal membrane. Science. 2016;354:1036-1041.

    Not in our library10.1126/science.aaf6136

  51. 51.

    Vedadi M, Niesen FH, Allali-Hassani A, Fedorov OY, Finerty PJ, Wasney GA, Yeung R, Arrowsmith C, Ball LJ, Berglund H, Hui R, Marsden BD, Nordlund P, Sundstrom M, Weigelt J, Edwards AM. Chemical screening methods to identify ligands that promote protein stability, protein crystallization, and structure determination. PNAS. 2006;103:15835-15840.

    Not in our library10.1073/pnas.0605224103

  52. 52.

    Wan Y, Wei Z, Looger LL, Koyama M, Druckmann S, Keller PJ. Single-cell reconstruction of emerging population activity in an entire developing circuit. Cell. 2019;179:355-372.

    Not in our library10.1016/j.cell.2019.08.039

  53. 53.

    Welter E, Thumm M, Krick R. Quantification of nonselective bulk autophagy in S. cerevisiae using pgk1-GFP. Autophagy. 2010;6:794-797.

    Not in our library10.4161/auto.6.6.12348

  54. 54.

    Zhao YG, Codogno P, Zhang H. Machinery, regulation and pathophysiological implications of autophagosome maturation. Nature Reviews. Molecular Cell Biology. 2021;22:733-750.

    Not in our library10.1038/s41580-021-00392-4

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