TY - JOUR
T1 - Active Interaction Mapping Reveals the Hierarchical Organization of Autophagy
AU - Kramer, Michael H.
AU - Farré, Jean Claude
AU - Mitra, Koyel
AU - Yu, Michael Ku
AU - Ono, Keiichiro
AU - Demchak, Barry
AU - Licon, Katherine
AU - Flagg, Mitchell
AU - Balakrishnan, Rama
AU - Cherry, J. Michael
AU - Subramani, Suresh
AU - Ideker, Trey
N1 - Publisher Copyright:
© 2017 Elsevier Inc.
PY - 2017/2/16
Y1 - 2017/2/16
N2 - 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/.
AB - 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/.
KW - active interaction mapping
KW - autophagy
KW - hierarchical modeling
KW - human
KW - systems biology
KW - yeast
UR - http://www.scopus.com/inward/record.url?scp=85010872103&partnerID=8YFLogxK
U2 - 10.1016/j.molcel.2016.12.024
DO - 10.1016/j.molcel.2016.12.024
M3 - Article
C2 - 28132844
AN - SCOPUS:85010872103
SN - 1097-2765
VL - 65
SP - 761-774.e5
JO - Molecular cell
JF - Molecular cell
IS - 4
ER -