학술논문
The Genetic Landscape of a Cell
Document Type
Academic Journal
Author
Costanzo, Michael; Baryshnikova, Anastasia; Bellay, Jeremy; Kim, Yungil; Spear, Eric D.; Sevier, Carolyn S.; Ding, Huiming; Koh, Judice L.Y.; Toufighi, Kiana; Mostafavi, Sara; Prinz, Jeany; St. Onge, Robert P.; VanderSluis, Benjamin; Makhnevych, Taras; Vizeacoumar, Franco J.; Alizadeh, Solmaz; Bahr, Sondra; Brost, Renee L.; Chen, Yiqun; Cokol, Murat; Deshpande, Raamesh; Li, Zhijian; Lin, Zhen-Yuan; Liang, Wendy; Marback, Michaela; Paw, Jadine; Luis, Bryan-Joseph San; Shuteriqi, Ermira; Tong, Amy Hin Yan; Dyk, Nydia van; Wallace, lain M.; Whitney, Joseph A.; Weirauch, Matthew T.; Zhong, Guoqing; Zhu, Hongwei; Houry, Walid A.; Brudno, Michael; Ragibizadeh, Sasan; Papp, Balázs; Pál, Csaba; Roth, Frederick P.; Giaever, Guri; Nislow, Corey; Troyanskaya, Olga G.; Bussey, Howard; Bader, Gary D.; Gingras, Anne-Claude; Morris, Quaid D.; Kim, Philip M.; Kaiser, Chris A.; Myers, Chad L.; Andrews, Brenda J.; Boone, Charles
Source
Science. Jan 22, 2010 327(5964):425-431
Subject
Language
English
ISSN
0036-8075
Abstract
A genome-scale genetic interaction map was constructed by examining 5.4 million gene-gene pairs for synthetic genetic interactions, generating quantitative genetic interaction profiles for ~75% of all genes in the budding yeast, Saccharomyces cerevisiae. A network based on genetic interaction profiles reveals a functional map of the cell in which genes of similar biological processes cluster together in coherent subsets, and highly correlated profiles delineate specific pathways to define gene function. The global network identifies functional cross-connections between all bioprocesses, mapping a cellular wiring diagram of pleiotropy. Genetic interaction degree correlated with a number of different gene attributes, which may be informative about genetic network hubs in other organisms. We also demonstrate that extensive and unbiased mapping of the genetic landscape provides a key for interpretation of chemical-genetic interactions and drug target identification.