A global genetic interaction network maps a wiring diagram of cellular function. Author Michael Costanzo, Benjamin VanderSluis, Elizabeth Koch, Anastasia Baryshnikova, Carles Pons, Guihong Tan, Wen Wang, Matej Usaj, Julia Hanchard, Susan Lee, Vicent Pelechano, Erin Styles, Maximilian Billmann, Jolanda van Leeuwen, Nydia van Dyk, Zhen-Yuan Lin, Elena Kuzmin, Justin Nelson, Jeff Piotrowski, Tharan Srikumar, Sondra Bahr, Yiqun Chen, Raamesh Deshpande, Christoph Kurat, Sheena Li, Zhijian Li, Mojca Usaj, Hiroki Okada, Natasha Pascoe, Bryan-Joseph San Luis, Sara Sharifpoor, Emira Shuteriqi, Scott Simpkins, Jamie Snider, Harsha Suresh, Yizhao Tan, Hongwei Zhu, Noel Malod-Dognin, Vuk Janjic, Natasa Przulj, Olga Troyanskaya, Igor Stagljar, Tian Xia, Yoshikazu Ohya, Anne-Claude Gingras, Brian Raught, Michael Boutros, Lars Steinmetz, Claire Moore, Adam Rosebrock, Amy Caudy, Chad Myers, Brenda Andrews, Charles Boone Publication Year 2016 Type Journal Article 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. Keywords Saccharomyces cerevisiae, Gene Regulatory Networks, Saccharomyces cerevisiae Proteins, Genes, Fungal, Epistasis, Genetic, Genetic Pleiotropy, Genes, Essential Journal Science Volume 353 Issue 6306 Date Published 09/2016 ISSN Number 1095-9203 DOI 10.1126/science.aaf1420 Alternate Journal Science PMCID PMC5661885 PMID 27708008 PubMedPubMed CentralGoogle ScholarBibTeXEndNote X3 XML