Journal
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Volume 101, Issue 52, Pages 18006-18011Publisher
NATL ACAD SCIENCES
DOI: 10.1073/pnas.0405996101
Keywords
DNA damage; graph theory; DNA repair; signaling; systems and computational biology
Categories
Funding
- NCI NIH HHS [R01 CA055042, R01-CA-55042] Funding Source: Medline
- NIEHS NIH HHS [P30-ES02109, F32-ES11733, P30 ES002109, U19 ES011399, F32 ES011733, U19-ES11399] Funding Source: Medline
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Using genome-wide information to understand holistically how cells function is a major challenge of the postgenomic era. Recent efforts to understand molecular pathway operation from a global perspective have lacked experimental data on phenotypic context, so insights concerning biologically relevant network characteristics of key genes or proteins have remained largely speculative. Here, we present a global network investigation of the genotype/phenotype data set we developed for the recovery of the yeast Saccharomyces cerevisiae from exposure to DNA-damaging agents, enabling explicit study of how protein-protein interaction network characteristics may be associated with phenotypic functional effects. We show that toxicity-modulating proteins have similar topological properties as essential proteins, suggesting that cells initiate highly coordinated responses to damage similar to those needed for vital cellular functions. We also identify toxicologically important protein complexes, pathways, and modules. These results have potential implications for understanding toxicity-modulating processes relevant to a number of human diseases, including cancer and aging.
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