Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)
Daniel J. Klionsky1, Amal Kamal Abdel-Aziz2, Sara Abdelfatah3, Mahmoud Abdellatif4 +2980 more•Institutions (777)
TL;DR: In this article, the authors present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes.
Abstract: In 2008, we published the first set of guidelines for standardizing research in autophagy. Since then, this topic has received increasing attention, and many scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Thus, it is important to formulate on a regular basis updated guidelines for monitoring autophagy in different organisms. Despite numerous reviews, there continues to be confusion regarding acceptable methods to evaluate autophagy, especially in multicellular eukaryotes. Here, we present a set of guidelines for investigators to select and interpret methods to examine autophagy and related processes, and for reviewers to provide realistic and reasonable critiques of reports that are focused on these processes. These guidelines are not meant to be a dogmatic set of rules, because the appropriateness of any assay largely depends on the question being asked and the system being used. Moreover, no individual assay is perfect for every situation, calling for the use of multiple techniques to properly monitor autophagy in each experimental setting. Finally, several core components of the autophagy machinery have been implicated in distinct autophagic processes (canonical and noncanonical autophagy), implying that genetic approaches to block autophagy should rely on targeting two or more autophagy-related genes that ideally participate in distinct steps of the pathway. Along similar lines, because multiple proteins involved in autophagy also regulate other cellular pathways including apoptosis, not all of them can be used as a specific marker for bona fide autophagic responses. Here, we critically discuss current methods of assessing autophagy and the information they can, or cannot, provide. Our ultimate goal is to encourage intellectual and technical innovation in the field.
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University of Michigan1, Cornell University2, University of Pennsylvania3, University of Massachusetts Medical School4, University of Naples Federico II5, Baylor College of Medicine6, Spanish National Research Council7, Complutense University of Madrid8, New York University9, Boston Children's Hospital10, University of Rome Tor Vergata11, NewYork–Presbyterian Hospital12, University of Pittsburgh13, University of Paris14, French Institute of Health and Medical Research15, National University of Cuyo16, Albert Einstein College of Medicine17, University of New Mexico18, Goethe University Frankfurt19, Weizmann Institute of Science20, University of Turku21, Sapienza University of Rome22, Virginia Commonwealth University23, St. Jude Children's Research Hospital24, Discovery Institute25, University of Copenhagen26, University of Tromsø27, Eötvös Loránd University28, Merck & Co.29, University of Freiburg30, Babraham Institute31, University of South Australia32, University of Adelaide33, University of Oviedo34, University of Chicago35, University of Graz36, National Institutes of Health37, City University of New York38, Queens College39, University of Tokyo40, University of Zurich41, University of British Columbia42, Austrian Academy of Sciences43, University of California, San Francisco44, Russian Academy of Sciences45, University Medical Center Groningen46, University of Cambridge47, University of Glasgow48, Rutgers University49, University of Padua50, Kazan Federal University51, University of Bern52, University of Oxford53, Oslo University Hospital54, University of Oslo55, Foundation for Research & Technology – Hellas56, University of Crete57, Francis Crick Institute58, Osaka University59, Harvard University60, Chinese Academy of Sciences61, Icahn School of Medicine at Mount Sinai62, Shanghai Jiao Tong University63, Karolinska Institutet64
TL;DR: In this paper, preclinical data linking autophagy dysfunction to the pathogenesis of major human disorders including cancer as well as cardiovascular, neurodegenerative, metabolic, pulmonary, renal, infectious, musculoskeletal, and ocular disorders.
Abstract: Autophagy is a core molecular pathway for the preservation of cellular and organismal homeostasis. Pharmacological and genetic interventions impairing autophagy responses promote or aggravate disease in a plethora of experimental models. Consistently, mutations in autophagy-related processes cause severe human pathologies. Here, we review and discuss preclinical data linking autophagy dysfunction to the pathogenesis of major human disorders including cancer as well as cardiovascular, neurodegenerative, metabolic, pulmonary, renal, infectious, musculoskeletal, and ocular disorders.
365 citations
University of Bonn1, Charité2, Humboldt University of Berlin3, Max Planck Society4, Free University of Berlin5, Max Delbrück Center for Molecular Medicine6, University of Kiel7, German Center for Neurodegenerative Diseases8, German Cancer Research Center9, City University of Hong Kong10, Heidelberg University11
TL;DR: In this paper, the authors show that SARS-CoV-2 infection modulates cellular metabolism and limits autophagy, and identify druggable host pathways for virus inhibition.
Abstract: Viruses manipulate cellular metabolism and macromolecule recycling processes like autophagy. Dysregulated metabolism might lead to excessive inflammatory and autoimmune responses as observed in severe and long COVID-19 patients. Here we show that SARS-CoV-2 modulates cellular metabolism and reduces autophagy. Accordingly, compound-driven induction of autophagy limits SARS-CoV-2 propagation. In detail, SARS-CoV-2-infected cells show accumulation of key metabolites, activation of autophagy inhibitors (AKT1, SKP2) and reduction of proteins responsible for autophagy initiation (AMPK, TSC2, ULK1), membrane nucleation, and phagophore formation (BECN1, VPS34, ATG14), as well as autophagosome-lysosome fusion (BECN1, ATG14 oligomers). Consequently, phagophore-incorporated autophagy markers LC3B-II and P62 accumulate, which we confirm in a hamster model and lung samples of COVID-19 patients. Single-nucleus and single-cell sequencing of patient-derived lung and mucosal samples show differential transcriptional regulation of autophagy and immune genes depending on cell type, disease duration, and SARS-CoV-2 replication levels. Targeting of autophagic pathways by exogenous administration of the polyamines spermidine and spermine, the selective AKT1 inhibitor MK-2206, and the BECN1-stabilizing anthelmintic drug niclosamide inhibit SARS-CoV-2 propagation in vitro with IC50 values of 136.7, 7.67, 0.11, and 0.13 μM, respectively. Autophagy-inducing compounds reduce SARS-CoV-2 propagation in primary human lung cells and intestinal organoids emphasizing their potential as treatment options against COVID-19. Viruses manipulate host cell pathways to support infection. Here the authors show that SARS-CoV-2 infection modulates cellular metabolism and limits autophagy, and identify druggable host pathways for virus inhibition.
140 citations
TL;DR: The role of autophagy in the pathogenesis of metabolic diseases associated with or occurring in the context of ageing, including insulin resistance, T2DM and sarcopenic obesity, was discussed in this article.
Abstract: Autophagy is an evolutionarily conserved, lysosome-dependent catabolic process whereby cytoplasmic components, including damaged organelles, protein aggregates and lipid droplets, are degraded and their components recycled. Autophagy has an essential role in maintaining cellular homeostasis in response to intracellular stress; however, the efficiency of autophagy declines with age and overnutrition can interfere with the autophagic process. Therefore, conditions such as sarcopenic obesity, insulin resistance and type 2 diabetes mellitus (T2DM) that are characterized by metabolic derangement and intracellular stresses (including oxidative stress, inflammation and endoplasmic reticulum stress) also involve the accumulation of damaged cellular components. These conditions are prevalent in ageing populations. For example, sarcopenia is an age-related loss of skeletal muscle mass and strength that is involved in the pathogenesis of both insulin resistance and T2DM, particularly in elderly people. Impairment of autophagy results in further aggravation of diabetes-related metabolic derangements in insulin target tissues, including the liver, skeletal muscle and adipose tissue, as well as in pancreatic β-cells. This Review summarizes the role of autophagy in the pathogenesis of metabolic diseases associated with or occurring in the context of ageing, including insulin resistance, T2DM and sarcopenic obesity, and describes its potential as a therapeutic target. The cellular consequences of dysfunctional autophagy contribute to numerous diseases. In this Review, Kitada and Koya consider the relationship between impaired autophagy and age-related metabolic derangements, including insulin resistance, type 2 diabetes mellitus and sarcopenic obesity, and discuss candidate autophagy-based therapies.
109 citations
TL;DR: In this article, the authors systematically screened 28 viral proteins of SARS-CoV-2 and identified that ORF3a strongly inhibited autophagic flux by blocking the fusion of autophagosomes with lysosomes.
Abstract: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused the ongoing coronavirus disease 2019 pandemic. How SARS-CoV-2 regulates cellular responses to escape clearance by host cells is unknown. Autophagy is an intracellular lysosomal degradation pathway for the clearance of various cargoes, including viruses. Here, we systematically screened 28 viral proteins of SARS-CoV-2 and identified that ORF3a strongly inhibited autophagic flux by blocking the fusion of autophagosomes with lysosomes. ORF3a colocalized with lysosomes and interacted with VPS39, a component of the homotypic fusion and protein sorting (HOPS) complex. The ORF3a-VPS39 interaction prohibited the binding of HOPS with RAB7, which prevented the assembly of fusion machinery, leading to the accumulation of unfused autophagosomes. These results indicated the potential mechanism by which SARS-CoV-2 escapes degradation; that is, the virus interferes with autophagosome-lysosome fusion. Furthermore, our findings will facilitate strategies targeting autophagy for conferring potential protection against the spread of SARS-CoV-2.
106 citations
TL;DR: The latest advances in the understanding of the regulating mechanisms and signaling pathways of STING1 in autophagy and cell death are outlined, which may shed light on new targets for therapeutic interventions.
Abstract: Cell death and immune response are at the core of life. In past decades, the endoplasmic reticulum (ER) protein STING1 (also known as STING or TMEM173) was found to play a fundamental role in the production of type I interferons (IFNs) and pro-inflammatory cytokines in response to DNA derived from invading microbial pathogens or damaged hosts by activating multiple transcription factors. In addition to this well-known function in infection, inflammation, and immunity, emerging evidence suggests that the STING1-dependent signaling network is implicated in health and disease by regulating autophagic degradation or various cell death modalities (e.g., apoptosis, necroptosis, pyroptosis, ferroptosis, mitotic cell death, and immunogenic cell death [ICD]). Here, we outline the latest advances in our understanding of the regulating mechanisms and signaling pathways of STING1 in autophagy and cell death, which may shed light on new targets for therapeutic interventions.
78 citations
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TL;DR: The data identify C9orf72 as a novel Rab1a effector in the regulation of autophagy and indicate that C 9orf72 haploinsufficiency and associated reductions in Autophagy might be the underlying cause of C9ALS/FTD‐associated p62 pathology.
Abstract: A GGGGCC hexanucleotide repeat expansion in the C9orf72 gene is the most common genetic cause of amyotrophic lateral sclerosis and frontotemporal dementia (C9ALS/FTD). C9orf72 encodes two C9orf72 protein isoforms of unclear function. Reduced levels of C9orf72 expression have been reported in C9ALS/FTD patients, and although C9orf72 haploinsufficiency has been proposed to contribute to C9ALS/FTD, its significance is not yet clear. Here, we report that C9orf72 interacts with Rab1a and the Unc-51-like kinase 1 (ULK1) autophagy initiation complex. As a Rab1a effector, C9orf72 controls initiation of autophagy by regulating the Rab1a-dependent trafficking of the ULK1 autophagy initiation complex to the phagophore. Accordingly, reduction of C9orf72 expression in cell lines and primary neurons attenuated autophagy and caused accumulation of p62-positive puncta reminiscent of the p62 pathology observed in C9ALS/FTD patients. Finally, basal levels of autophagy were markedly reduced in C9ALS/FTD patient-derived iNeurons. Thus, our data identify C9orf72 as a novel Rab1a effector in the regulation of autophagy and indicate that C9orf72 haploinsufficiency and associated reductions in autophagy might be the underlying cause of C9ALS/FTD-associated p62 pathology.
304 citations
TL;DR: Using motor neuronal fALS models, it is demonstrated that HspB8 decreases aggregation and increases mutant SOD1 solubility and clearance, without affecting wild-type S OD1 turnover, and the pharmacological modulation of HSpB8 expression in motor neurons may have important implications to unravel the molecular mechanisms involved both in fALS and in sALS.
Abstract: Several neurodegenerative diseases, including amyotrophic lateral sclerosis (ALS), are characterized by the presence of misfolded proteins, thought to trigger neurotoxicity. Some familial forms of ALS (fALS), clinically indistinguishable from sporadic ALS (sALS), are linked to superoxide dismutase 1 (SOD1) gene mutations. It has been shown that the mutant SOD1 misfolds, forms insoluble aggregates and impairs the proteasome. Using transgenic G93A-SOD1 mice, we found that spinal cord motor neurons, accumulating mutant SOD1 also over-express the small heat shock protein HspB8. Using motor neuronal fALS models, we demonstrated that HspB8 decreases aggregation and increases mutant SOD1 solubility and clearance, without affecting wild-type SOD1 turnover. Notably, HspB8 acts on mutant SOD1 even when the proteasome activity is specifically blocked. The pharmacological blockage of autophagy resulted in a dramatic increase of mutant SOD1 aggregates. Immunoprecipitation studies, performed during autophagic flux blockage, demonstrated that mutant SOD1 interacts with the HspB8/Bag3/Hsc70/CHIP multiheteromeric complex, known to selectively activate autophagic removal of misfolded proteins. Thus, HspB8 increases mutant SOD1 clearance via autophagy. Autophagy activation was also observed in lumbar spinal cord of transgenic G93A-SOD1 mice since several autophago-lysosomal structures were present in affected surviving motor neurons. Finally, we extended our observation to a different ALS model and demonstrated that HspB8 exerts similar effects on a truncated version of TDP-43, another protein involved both in fALS and in sALS. Overall, these results indicate that the pharmacological modulation of HspB8 expression in motor neurons may have important implications to unravel the molecular mechanisms involved both in fALS and in sALS.
303 citations
TL;DR: This work proposes to improve the prediction algorithms by including additional alpha-MoRF examples and their cross species homologues in the positive training set, carefully extracting monomer structure chains from the Protein Data Bank as the negative Training set, including attributes from recently developed disorder predictors, secondary structure predictions, and amino acid indices, and constructing neural network based predictors and performing validation.
Abstract: Previously described algorithms for mining alpha-helix-forming molecular recognition elements (MoREs), described by Oldfield et al. (Oldfield, C. J., Cheng, Y., Cortese, M. S., Brown, C. J., Uversky, V. N., and Dunker, A. K. (2005) Comparing and combining predictors of mostly disordered proteins, Biochemistry 44, 1989-2000), also known as molecular recognition features (MoRFs) (Mohan, A., Oldfield, C. J., Radivojac, P., Vacic, V., Cortese, M. S., Dunker, A. K., and Uversky, V. N. (2006) Analysis of Molecular Recognition Features (MoRFs), J. Mol. Biol. 362, 1043-1059), revealed that regions undergoing disorder-to-order transition are involved in many molecular recognition events and are crucial for protein-protein interactions. However, these algorithms were developed using a training data set of a limited size. Here we propose to improve the prediction algorithms by (1) including additional alpha-MoRF examples and their cross species homologues in the positive training set, (2) carefully extracting monomer structure chains from the Protein Data Bank (PDB) as the negative training set, (3) including attributes from recently developed disorder predictors, secondary structure predictions, and amino acid indices, and (4) constructing neural network based predictors and performing validation. Over 50 regions which undergo disorder-to-order transition that were identified in the PDB together with a set of corresponding cross species homologues of each structure-based example were included in a new positive training set. Over 1500 attributes, including disorder predictions, secondary structure predictions, and amino acid indices, were evaluated by the conditional probability method. The top attributes, including VSL2 and VL3 disorder predictions and several physicochemical propensities of amino acid residues, were used to develop the feed forward neural networks. The sensitivity, specificity, and accuracy of the resulting predictor, alpha-MoRF-PredII, were 0.87 +/- 0.10, 0.87 +/- 0.11, and 0.87 +/- 0.08 over 10 cross validations, respectively. We present the results of these analyses and validation examples to discuss the potential improvement of the alpha-MoRF-PredII prediction accuracy.
303 citations
TL;DR: Findings indicate that Htt binds to dynein and acts in a complex along with dynactin and Htt-associated protein-1 to facilitate vesicular transport.
Abstract: Cytoplasmic dynein is a multisubunit microtubule motor complex that, together with its activator, dynactin, drives vesicular cargo toward the minus ends of microtubules. Huntingtin (Htt) is a vesicle-associated protein found in both neuronal and nonneuronal cells that is thought to be involved in vesicular transport. In this study, we demonstrate through yeast two-hybrid and affinity chromatography assays that Htt and dynein intermediate chain interact directly; endogenous Htt and dynein coimmunoprecipitate from mouse brain cytosol. Htt RNAi in HeLa cells results in Golgi disruption, similar to the effects of compromising dynein/dynactin function. In vitro studies reveal that Htt and dynein are both present on vesicles purified from mouse brain. Antibodies to Htt inhibited vesicular transport along microtubules, suggesting that Htt facilitates dynein-mediated vesicle motility. In vivo inhibition of dynein function results in a significant redistribution of Htt to the cell periphery, suggesting that dynein transports Htt-associated vesicles toward the cell center. Together these findings indicate that Htt binds to dynein and acts in a complex along with dynactin and Htt-associated protein-1 to facilitate vesicular transport.
302 citations
TL;DR: It is shown that after activation by Apg7p, Apg12p is transferred to the Cys‐133 residue of Apg10p to form an Apg 12p–Apg10p thioester, which indicates that Apg 10p is a new type of protein‐conjugating enzyme that functions in the ApG12p‐Apg5p conjugation pathway.
Abstract: Autophagy is a cellular process for bulk degradation of cytoplasmic components. The attachment of Apg12p, a modifier with no significant similarity to ubiquitin, to Apg5p is crucial for autophagy in yeast. This reaction proceeds in a ubiquitination-like manner, and requires Apg7p and Apg10p. Apg7p exhibits a considerable similarity to ubiquitin-activating enzyme (E1) and is found to activate Apg12p with ATP hydrolysis. Apg10p, on the other hand, shows no significant similarity to other proteins whose functions are known. Here, we show that after activation by Apg7p, Apg12p is transferred to the Cys-133 residue of Apg10p to form an Apg12p-Apg10p thioester. Cells expressing Apg10p(C133S) do not generate the Apg12p-Apg5p conjugate, which leads to defects in autophagy and cytoplasm-to-vacuole targeting of aminopeptidase I. These findings indicate that Apg10p is a new type of protein-conjugating enzyme that functions in the Apg12p-Apg5p conjugation pathway.
302 citations