A global genetic interaction network maps a wiring diagram of cellular function.

Science

The Donnelly Centre, University of Toronto, 160 College Street, Toronto ON, Canada M5S 3E1. Department of Molecular Genetics, University of Toronto, 160 College Street, Toronto ON, Canada M5S 3E1. Chemical Genomics Research Group, RIKEN Center for Sustainable Resource Sciences (CSRS), Saitama, Japan.

Published: September 2016

AI Article Synopsis

  • The researchers created a global genetic interaction network for yeast, generating over 23 million double mutants to identify around 550,000 negative and 350,000 positive genetic interactions.
  • The network highlights essential genes as key connectors and allows for the assembly of a hierarchical model that represents various aspects of cell function, including protein complexes and biological processes.
  • Negative interactions link related genes and core biological processes, while positive interactions reflect broader regulatory connections, ultimately forming a functional wiring diagram of the cell.

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5661885PMC
http://dx.doi.org/10.1126/science.aaf1420DOI Listing

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