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PMID: 15608068 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. Research Support, U.S. Gov't, P.H.S.

Global network analysis of phenotypic effects: protein networks and toxicity modulation in Saccharomyces cerevisiae.

Said MR, Begley TJ, Oppenheim AV, Lauffenburger DA, Samson LD

Abstract

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.

MeSH Terms
Cluster Analysis Computational Biology Databases, Protein Gene Expression Regulation, Fungal Genes, Fungal Genome, Fungal Models, Biological Models, Theoretical Phenotype Protein Binding Protein Conformation Protein Interaction Mapping Proteins/chemistry Proteome Proteomics Saccharomyces cerevisiae/physiology Software
Chemicals
Proteins Proteome
Authors & Affiliations
5 authors, click to expand affiliations / ORCID
Said Maya R
Digital Signal Processing Group, Department of Electrical Engineering and Computer Science, and Biological Engineering Division and Center for Environmental Health Sciences, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Begley Thomas J
Oppenheim Alan V
Lauffenburger Douglas A
Samson Leona D
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
0027-8424
Published
2004-12-28
Epub
2004-00-17
Pages
18006-11
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC539745
Subset
IM
Grants
NCI NIH HHS · R01 CA055042 · United States
NIEHS NIH HHS · P30-ES02109 · United States
NIEHS NIH HHS · P30 ES002109 · United States
NIEHS NIH HHS · U19-ES11399 · United States
NCI NIH HHS · R01-CA-55042 · United States
NIEHS NIH HHS · F32-ES11733 · United States
NIEHS NIH HHS · F32 ES011733 · United States
NIEHS NIH HHS · U19 ES011399 · United States
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