| Literature DB >> 27708008 |
Michael Costanzo1, Benjamin VanderSluis2, Elizabeth N Koch3, Anastasia Baryshnikova4, Carles Pons3, Guihong Tan1, Wen Wang3, Matej Usaj1, Julia Hanchard5, Susan D Lee6, Vicent Pelechano7, Erin B Styles5, Maximilian Billmann8, Jolanda van Leeuwen1, Nydia van Dyk1, Zhen-Yuan Lin9, Elena Kuzmin5, Justin Nelson10, Jeff S Piotrowski11, Tharan Srikumar12, Sondra Bahr1, Yiqun Chen1, Raamesh Deshpande3, Christoph F Kurat1, Sheena C Li11, Zhijian Li1, Mojca Mattiazzi Usaj1, Hiroki Okada13, Natasha Pascoe5, Bryan-Joseph San Luis1, Sara Sharifpoor1, Emira Shuteriqi1, Scott W Simpkins10, Jamie Snider1, Harsha Garadi Suresh1, Yizhao Tan1, Hongwei Zhu1, Noel Malod-Dognin14, Vuk Janjic15, Natasa Przulj16, Olga G Troyanskaya17, Igor Stagljar18, Tian Xia19, Yoshikazu Ohya13, Anne-Claude Gingras20, Brian Raught12, Michael Boutros8, Lars M Steinmetz21, Claire L Moore6, Adam P Rosebrock5, Amy A Caudy5, Chad L Myers22, Brenda Andrews23, Charles Boone24.
Abstract
We generated a global genetic interaction network for Saccharomyces cerevisiae, constructing more than 23 million double mutants, identifying about 550,000 negative and about 350,000 positive genetic interactions. This comprehensive network maps genetic interactions for essential gene pairs, highlighting essential genes as densely connected hubs. Genetic interaction profiles enabled assembly of a hierarchical model of cell function, including modules corresponding to protein complexes and pathways, biological processes, and cellular compartments. Negative interactions connected functionally related genes, mapped core bioprocesses, and identified pleiotropic genes, whereas positive interactions often mapped general regulatory connections among gene pairs, rather than shared functionality. The global network illustrates how coherent sets of genetic interactions connect protein complex and pathway modules to map a functional wiring diagram of the cell.Entities:
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Year: 2016 PMID: 27708008 PMCID: PMC5661885 DOI: 10.1126/science.aaf1420
Source DB: PubMed Journal: Science ISSN: 0036-8075 Impact factor: 47.728