Genetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutants

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dc.contributor.authorGallegos, Jenna E.en
dc.contributor.authorAdames, Neil R.en
dc.contributor.authorRogers, Mark F.en
dc.contributor.authorKraikivski, Pavelen
dc.contributor.authorIbele, Aubreyen
dc.contributor.authorNurzynski-Loth, Kevinen
dc.contributor.authorKudlow, Ericen
dc.contributor.authorMurali, T. M.en
dc.contributor.authorTyson, John J.en
dc.contributor.authorPeccoud, Jeanen
dc.contributor.departmentBiological Sciencesen
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2020-08-18T13:57:56Zen
dc.date.available2020-08-18T13:57:56Zen
dc.date.issued2020-05-06en
dc.description.abstractOver the last 30 years, computational biologists have developed increasingly realistic mathematical models of the regulatory networks controlling the division of eukaryotic cells. These models capture data resulting from two complementary experimental approaches: low-throughput experiments aimed at extensively characterizing the functions of small numbers of genes, and large-scale genetic interaction screens that provide a systems-level perspective on the cell division process. The former is insufficient to capture the interconnectivity of the genetic control network, while the latter is fraught with irreproducibility issues. Here, we describe a hybrid approach in which the 630 genetic interactions between 36 cell-cycle genes are quantitatively estimated by high-throughput phenotyping with an unprecedented number of biological replicates. Using this approach, we identify a subset of high-confidence genetic interactions, which we use to refine a previously published mathematical model of the cell cycle. We also present a quantitative dataset of the growth rate of these mutants under six different media conditions in order to inform future cell cycle models.en
dc.description.notesThis work was supported by NIH grant GM078989 and NSF Awards DBI-1759900, DBI-1759858, and CMMI-1832320.en
dc.description.sponsorshipNIH United States Department of Health & Human ServicesNational Institutes of Health (NIH) - USA [GM078989]; NSFNational Science Foundation (NSF) [DBI-1759900, DBI-1759858, CMMI-1832320]en
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1038/s41540-020-0134-zen
dc.identifier.eissn2056-7189en
dc.identifier.issue1en
dc.identifier.otherUNSP 11en
dc.identifier.pmid32376972en
dc.identifier.urihttp://hdl.handle.net/10919/99734en
dc.identifier.volume6en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleGenetic interactions derived from high-throughput phenotyping of 6589 yeast cell cycle mutantsen
dc.title.serialNpj Systems Biology and Applicationsen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten
dc.type.dcmitypeStillImageen

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