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1.
J Cell Sci ; 125(Pt 22): 5259-68, 2012 Nov 15.
Article in English | MEDLINE | ID: mdl-23377657

ABSTRACT

Cellular 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.


Subject(s)
Apoptosis , Autophagy , Animals , Disease , Humans , Models, Biological
2.
Mol Cell ; 44(5): 698-709, 2011 Dec 09.
Article in English | MEDLINE | ID: mdl-22152474

ABSTRACT

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.


Subject(s)
Apoptosis , Autophagy , Mitochondria/metabolism , Mitochondria/pathology , Proto-Oncogene Proteins c-bcl-2/metabolism , Small Ubiquitin-Related Modifier Proteins/metabolism , Autophagy-Related Protein 12 , HEK293 Cells , Humans , Myeloid Cell Leukemia Sequence 1 Protein , Small Ubiquitin-Related Modifier Proteins/genetics
3.
Sci Signal ; 4(196): pl1, 2011 Oct 25.
Article in English | MEDLINE | ID: mdl-22028466

ABSTRACT

Genome-scale screening studies are gradually accumulating a wealth of data on the putative involvement of hundreds of genes in various cellular responses or functions. A fundamental challenge is to chart the molecular pathways that underlie these systems. ANAT is an interactive software tool, implemented as a Cytoscape plug-in, for elucidating functional networks of proteins. It encompasses a number of network inference algorithms and provides access to networks of physical associations in several organisms. In contrast to existing software tools, ANAT can be used to infer subnetworks that connect hundreds of proteins to each other or to a given set of "anchor" proteins, a fundamental step in reconstructing cellular subnetworks. The interactive component of ANAT provides an array of tools for evaluating and exploring the resulting subnetwork models and for iteratively refining them. We demonstrate the utility of ANAT by studying the crosstalk between the autophagic and apoptotic cell death modules in humans, using a network of physical interactions. Relative to published software tools, ANAT is more accurate and provides more features for comprehensive network analysis. The latest version of the software is available at http://www.cs.tau.ac.il/~bnet/ANAT_SI.


Subject(s)
Algorithms , Protein Interaction Mapping/methods , Proteins/metabolism , Signal Transduction/physiology , Software , Animals , Apoptosis/genetics , Apoptosis/physiology , Arabidopsis/genetics , Arabidopsis/metabolism , Autophagy/genetics , Autophagy/physiology , Caenorhabditis elegans/genetics , Caenorhabditis elegans/metabolism , Drosophila melanogaster/genetics , Drosophila melanogaster/metabolism , Escherichia coli/genetics , Escherichia coli/metabolism , Genome/genetics , Helicobacter pylori/genetics , Helicobacter pylori/metabolism , Humans , Internet , Mice , Models, Biological , Plasmodium falciparum/genetics , Plasmodium falciparum/metabolism , Proteins/genetics , Rats , Reproducibility of Results , Saccharomyces cerevisiae/genetics , Saccharomyces cerevisiae/metabolism , Signal Transduction/genetics
4.
Trends Biochem Sci ; 35(10): 556-64, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20537543

ABSTRACT

Systems biology, a combined computational and experimental approach to analyzing complex biological systems, has recently been applied to understanding the pathways that regulate programmed cell death. This approach has become especially crucial because recent advances have resulted in an expanded view of the network, to include not just a single death module (apoptosis) but multiple death programs, including programmed necrosis and autophagic cell death. Current research directions in the systems biology field range from quantitative analysis of subprocesses of individual death pathways to the study of interconnectivity among the various death modules of the larger network. These initial studies have provided great advances in our understanding of programmed cell death and have important clinical implications for drug target research.


Subject(s)
Apoptosis , Systems Biology/methods , Animals , Humans , Models, Biological , RNA Interference , Signal Transduction
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