| Literature DB >> 14764870 |
Amy Hin Yan Tong1, Guillaume Lesage, Gary D Bader, Huiming Ding, Hong Xu, Xiaofeng Xin, James Young, Gabriel F Berriz, Renee L Brost, Michael Chang, YiQun Chen, Xin Cheng, Gordon Chua, Helena Friesen, Debra S Goldberg, Jennifer Haynes, Christine Humphries, Grace He, Shamiza Hussein, Lizhu Ke, Nevan Krogan, Zhijian Li, Joshua N Levinson, Hong Lu, Patrice Ménard, Christella Munyana, Ainslie B Parsons, Owen Ryan, Raffi Tonikian, Tania Roberts, Anne-Marie Sdicu, Jesse Shapiro, Bilal Sheikh, Bernhard Suter, Sharyl L Wong, Lan V Zhang, Hongwei Zhu, Christopher G Burd, Sean Munro, Chris Sander, Jasper Rine, Jack Greenblatt, Matthias Peter, Anthony Bretscher, Graham Bell, Frederick P Roth, Grant W Brown, Brenda Andrews, Howard Bussey, Charles Boone.
Abstract
A genetic interaction network containing approximately 1000 genes and approximately 4000 interactions was mapped by crossing mutations in 132 different query genes into a set of approximately 4700 viable gene yeast deletion mutants and scoring the double mutant progeny for fitness defects. Network connectivity was predictive of function because interactions often occurred among functionally related genes, and similar patterns of interactions tended to identify components of the same pathway. The genetic network exhibited dense local neighborhoods; therefore, the position of a gene on a partially mapped network is predictive of other genetic interactions. Because digenic interactions are common in yeast, similar networks may underlie the complex genetics associated with inherited phenotypes in other organisms.Entities:
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Year: 2004 PMID： 14764870 DOI： 10.1126/science.1091317
Source DB: PubMed Journal: Science ISSN： 0036-8075 Impact factor: 47.728