Autophagy and apoptosis constitute important determinants of cell fate and engage in a complex interplay in both physiological and pathological settings. The molecular basis of this crosstalk is poorly understood and relies, in part, on "dual-function" proteins that operate in both processes. Here, we identify the essential autophagy protein Atg12 as a positive mediator of mitochondrial apoptosis and show that Atg12 directly regulates the apoptotic pathway by binding and inactivating prosurvival Bcl-2 family members, including Bcl-2 and Mcl-1. The binding occurs independently of Atg5 or Atg3 and requires a unique BH3-like motif in Atg12, characterized by interaction studies and computational docking. In apoptotic cells, knockdown of Atg12 inhibited Bax activation and cytochrome c release, while ectopic expression of Atg12 antagonized the antiapoptotic activity of Mcl-1. The interaction between Atg12 and Bcl-2 family members may thus constitute an important point of convergence between autophagy and apoptosis in response to specific signals.

SummaryCellular stress triggers a fascinating decision-making process in cells; they can either attempt to survive until the stress is resolved through the activation of cytoprotective pathways, such as autophagy, or can commit suicide by apoptosis in order to prevent further damage to surrounding healthy cells. Although autophagy and apoptosis constitute distinct cellular processes with often opposing outcomes, their signalling pathways are extensively interconnected through various mechanisms of crosstalk. The physiological relevance of the autophagy-apoptosis crosstalk is not well understood, but it is presumed to facilitate a controlled and well-balanced cellular response to a given stress signal. In this Commentary, we explore the various mechanisms by which autophagy and apoptosis regulate each other, and define general paradigms of crosstalk on the basis of mechanistic features. One paradigm relates to physical and functional interactions between pairs of specific apoptotic and autophagic proteins. In a second mechanistic paradigm, the apoptosis or autophagy processes (as opposed to individual proteins) regulate each other through induced caspase and autolysosomal activity, respectively. In a third paradigm unique to autophagy, caspases are recruited and activated on autophagosomal membranes. These mechanistic paradigms are discernible experimentally, and can therefore be used as a practical guide for the interpretation of experimental data.

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The mammalian cell death network comprises three distinct functional modules: apoptosis, autophagy and programmed necrosis. Currently, the field lacks systems level approaches to assess the extent to which the intermodular connectivity affects cell death performance. Here, we developed a platform that is based on single and double sets of RNAi-mediated perturbations targeting combinations of apoptotic and autophagic genes. The outcome of perturbations is measured both at the level of the overall cell death responses, using an unbiased quantitative reporter, and by assessing the molecular responses within the different functional modules. Epistatic analyses determine whether seemingly unrelated pairs of proteins are genetically linked. The initial running of this platform in etoposide-treated cells, using a few single and double perturbations, identified several levels of connectivity between apoptosis and autophagy. The knock down of caspase3 turned on a switch toward autophagic cell death, which requires Atg5 or Beclin-1. In addition, a reciprocal connection between these two autophagic genes and apoptosis was identified. By applying computational tools that are based on mining the protein-protein interaction database, a novel biochemical pathway connecting between Atg5 and caspase3 is suggested. Scaling up this platform into hundreds of perturbations potentially has a wide, general scope of applicability, and will provide the basis for future modeling of the cell death network. The process of programmed cell death (PCD) is driven by a network of proteins connected to each other in an intricate manner. Over the past two decades, many of the network's proteins (nodes) and the interactions among them (edges; mostly post-translation modifications) have been identified. The PCD network is turned on by well-defined input signals, such as activation of death receptors or exposure to DNA damaging agents. The efficiency of its performance determines the individual cell's probability to die, which, when assessed over a large population of cells, can be translated into the percent of cell death. Dying cells can display several distinct cell death phenotypes, each driven by a different subset of proteins and molecular pathways. Examples are the caspase-dependent apoptotic cell death, autophagic cell death and programmed necrosis. 1 Cells exposed to the same input signal can switch from one cell death modality to another in response to specific perturbations, 2-4 and in some cases, a mixed type of cell death can also be observed. [5][6][7] This led us to propose here a working model, according to which the proteins that mediate the three different cell death phenotypes should be integrated within a common network, and the corresponding subsets of proteins should be considered as functional modules within this global network. To study the network as a whole, new strategies capable of analyzing the connectivity within and between the functional modules are required.Here, we developed a platform for dissecting the network's a...

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