| Literature DB >> 28132844 |
Michael H Kramer1, Jean-Claude Farré2, Koyel Mitra1, Michael Ku Yu1, Keiichiro Ono1, Barry Demchak1, Katherine Licon1, Mitchell Flagg1, Rama Balakrishnan3, J Michael Cherry3, Suresh Subramani4, Trey Ideker5.
Abstract
We have developed a general progressive procedure, Active Interaction Mapping, to guide assembly of the hierarchy of functions encoding any biological system. Using this process, we assemble an ontology of functions comprising autophagy, a central recycling process implicated in numerous diseases. A first-generation model, built from existing gene networks in Saccharomyces, captures most known autophagy components in broad relation to vesicle transport, cell cycle, and stress response. Systematic analysis identifies synthetic-lethal interactions as most informative for further experiments; consequently, we saturate the model with 156,364 such measurements across autophagy-activating conditions. These targeted interactions provide more information about autophagy than all previous datasets, producing a second-generation ontology of 220 functions. Approximately half are previously unknown; we confirm roles for Gyp1 at the phagophore-assembly site, Atg24 in cargo engulfment, Atg26 in cytoplasm-to-vacuole targeting, and Ssd1, Did4, and others in selective and non-selective autophagy. The procedure and autophagy hierarchy are at http://atgo.ucsd.edu/.Entities:
Keywords: active interaction mapping; autophagy; hierarchical modeling; human; systems biology; yeast
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Year: 2017 PMID: 28132844 PMCID: PMC5439305 DOI: 10.1016/j.molcel.2016.12.024
Source DB: PubMed Journal: Mol Cell ISSN: 1097-2765 Impact factor: 17.970