In 2008 we published the first set of guidelines for standardizing research in autophagy. Since then, research on this topic has continued to accelerate, and many new scientists have entered the field. Our knowledge base and relevant new technologies have also been expanding. Accordingly, it is important to update these guidelines for monitoring autophagy in different organisms. Various reviews have described the range of assays that have been used for this purpose. Nevertheless, there continues to be confusion regarding acceptable methods to measure autophagy, especially in multicellular eukaryotes. A key point that needs to be emphasized is that there is a difference between measurements that monitor the numbers or volume of autophagic elements (e.g., autophagosomes or autolysosomes) at any stage of the autophagic process vs. those that measure flux through the autophagy pathway (i.e., the complete process); thus, a block in macroautophagy that results in autophagosome accumulation needs to be differentiated from stimuli that result in increased autophagic activity, defined as increased autophagy induction coupled with increased delivery to, and degradation within, lysosomes (in most higher eukaryotes and some protists such as Dictyostelium) or the vacuole (in plants and fungi). In other words, it is especially important that investigators new to the field understand that the appearance of more autophagosomes does not necessarily equate with more autophagy. In fact, in many cases, autophagosomes accumulate because of a block in trafficking to lysosomes without a concomitant change in autophagosome biogenesis, whereas an increase in autolysosomes may reflect a reduction in degradative activity. Here, we present a set of guidelines for the selection and interpretation of methods for use by investigators who aim to examine macroautophagy and related processes, as well as for reviewers who need to provide realistic and reasonable critiques of papers that are focused on these processes. These guidelines are not meant to be a formulaic set of rules, because the appropriate assays depend in part on the question being asked and the system being used. In addition, we emphasize that no individual assay is guaranteed to be the most appropriate one in every situation, and we strongly recommend the use of multiple assays to monitor autophagy. In these guidelines, we consider these various methods of assessing autophagy and what information can, or cannot, be obtained from them. Finally, by discussing the merits and limits of particular autophagy assays, we hope to encourage technical innovation in the field
Autophagy is a process of self-degradation of cellular components in which double-membrane autophagosomes sequester organelles or portions of cytosol and fuse with lysosomes or vacuoles for breakdown by resident hydrolases. Autophagy is upregulated in response to extra-or intracellular stress and signals such as starvation, growth factor deprivation, ER stress, and pathogen infection. Defective autophagy plays a significant role in human pathologies, including cancer, neurodegeneration, and infectious diseases. We present our current knowledge on the key genes composing the autophagy machinery in eukaryotes from yeast to mammalian cells and the signaling pathways that sense the status of different types of stress and induce autophagy for cell survival and homeostasis. We also review the recent advances on the molecular mechanisms that regulate the autophagy machinery at various levels, from transcriptional activation to post-translational protein modification.
Exercise has beneficial effects on human health, including protection against metabolic disorders such as diabetes1. However, the cellular mechanisms underlying these effects are incompletely understood. The lysosomal degradation pathway, autophagy, is an intracellular recycling system that functions during basal conditions in organelle and protein quality control2. During stress, increased levels of autophagy permit cells to adapt to changing nutritional and energy demands through protein catabolism3. Moreover, in animal models, autophagy protects against diseases such as cancer, neuro-degenerative disorders, infections, inflammatory diseases, ageing and insulin resistance4-6. Here we show that acute exercise induces autophagy in skeletal and cardiac muscle of fed mice. To investigate the role of exercise-mediated autophagy in vivo, we generated mutant mice that show normal levels of basal autophagy but are deficient in stimulus (exercise- or starvation)-induced autophagy. These mice (termed BCL2 AAA mice) contain knock-in mutations in BCL2 phosphorylation sites (Thr69Ala, Ser70Ala and Ser84Ala) that prevent stimulus-induced disruption of the BCL2-beclin-1 complex and autophagy activation. BCL2 AAA mice show decreased endurance and altered glucose metabolism during acute exercise, as well as impaired chronic exercise-mediated protection against high-fat-diet-induced glucose intolerance. Thus, exercise induces autophagy, BCL2 is a crucial regulator of exercise- (and starvation)- induced autophagy in vivo, and autophagy induction may contribute to the beneficial metabolic effects of exercise.
The mammalian ortholog of yeast Atg6/Vps30, Beclin 1, is an essential autophagy protein that has been linked to diverse biological processes, including immunity, development, tumor suppression, lifespan extension, and protection against certain cardiac and neurodegenerative diseases. In recent years, major advances have been made in identifying components of functionally distinct Beclin 1/class III phosphatidylinositol 3-kinase complexes, in characterizing the molecular regulation of interactions between Beclin 1 and the autophagy inhibitors, Bcl-2/BcL-XL, and in uncovering a role for viral antagonists of Beclin 1 in viral pathogenesis. The rapidly growing list of components of the ‘Beclin 1 interactome’ supports a model in which autophagy, and potentially other membrane trafficking functions of Beclin 1, are governed by differential interactions with different binding partners in different physiological or pathophysiological contexts.
Autophagy increases lifespan of model organisms; however, its role in promoting mammalian longevity is less well-established1,2. Here, we report lifespan and healthspan extension in a mouse model with increased basal autophagy. To determine the effects of constitutively increased autophagy on mammalian health, we generated targeted mutant mice with a F121A (Becn1F121A/F121A) mutation in beclin 1 that decreases its interaction with the negative regulator, Bcl-2. We demonstrate that beclin 1/Bcl-2 interaction is disrupted in multiple tissues in Becn1F121A/F121A knock-in (KI) mice in association with higher levels of basal autophagic flux. Compared to wild-type (WT) littermates, the lifespan of both male and female KI mice is significantly increased. The healthspan of the KI mice also improves as aging-related phenotypes are diminished, including age-related renal and cardiac pathological changes and spontaneous tumorigenesis. Moreover, mice deficient in the anti-aging protein, Klotho3, have increased beclin 1/Bcl-2 interaction, decreased autophagy, premature lethality and infertility which are rescued by the beclin 1 F121A mutation. Taken together, our data demonstrate that disruption of the beclin 1/Bcl-2 complex is an effective mechanism to increase autophagy, prevent premature aging, improve healthspan and promote longevity in mammals.
Autophagy is a conserved degradative pathway that is induced in response to various stress and developmental conditions in eukaryotic cells. It allows the elimination of cytosolic proteins and organelles in the lysosome/vacuole. In the yeast Saccharomyces cerevisiae, the integral membrane protein Atg9 (autophagy-related protein 9) cycles between mitochondria and the preautophagosomal structure (PAS), the nucleating site for formation of the sequestering vesicle, suggesting a role in supplying membrane for vesicle formation and/or expansion during autophagy. To better understand the mechanisms involved in Atg9 cycling, we performed a yeast two-hybrid–based screen and identified a peripheral membrane protein, Atg11, that interacts with Atg9. We show that Atg11 governs Atg9 cycling through the PAS during specific autophagy. We also demonstrate that the integrity of the actin cytoskeleton is essential for correct targeting of Atg11 to the PAS. We propose that a pool of Atg11 mediates the anterograde transport of Atg9 to the PAS that is dependent on the actin cytoskeleton during yeast vegetative growth.
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