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

被引:88
作者
Said, MR
Begley, TJ
Oppenheim, AV
Lauffenburger, DA
Samson, LD
机构
[1] MIT, Environm Hlth Sci Ctr, Cambridge, MA 02139 USA
[2] MIT, Digital Signal Proc Grp, Dept Elect Engn & Comp Sci, Cambridge, MA 02139 USA
[3] MIT, Div Biochem Engn, Cambridge, MA 02139 USA
关键词
DNA damage; graph theory; DNA repair; signaling; systems and computational biology;
D O I
10.1073/pnas.0405996101
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:18006 / 18011
页数:6
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