Active Interaction Mapping Reveals the Hierarchical Organization of Autophagy

Michael H. Kramer, Jean Claude Farré, Koyel Mitra, Michael Ku Yu, Keiichiro Ono, Barry Demchak, Katherine Licon, Mitchell Flagg, Rama Balakrishnan, J. Michael Cherry, Suresh Subramani, Trey Ideker

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

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/.

Original languageEnglish
Pages (from-to)761-774.e5
JournalMolecular cell
Volume65
Issue number4
DOIs
StatePublished - Feb 16 2017

Keywords

  • active interaction mapping
  • autophagy
  • hierarchical modeling
  • human
  • systems biology
  • yeast

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