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dc.contributor.authorSvensson, J. Peter
dc.contributor.authorQuiros Pesudo, Laia
dc.contributor.authorFry, Rebecca C.
dc.contributor.authorAdeleye, Yeyejide A.
dc.contributor.authorCarmichael, Paul
dc.contributor.authorSamson, Leona D
dc.date.accessioned2012-03-01T17:43:19Z
dc.date.available2012-03-01T17:43:19Z
dc.date.issued2011-10
dc.date.submitted2011-06
dc.identifier.issn1752-0509
dc.identifier.urihttp://hdl.handle.net/1721.1/69542
dc.description.abstractBackground A myriad of new chemicals has been introduced into our environment and exposure to these agents can damage cells and induce cytotoxicity through different mechanisms, including damaging DNA directly. Analysis of global transcriptional and phenotypic responses in the yeast S. cerevisiae provides means to identify pathways of damage recovery upon toxic exposure. Results Here we present a phenotypic screen of S. cerevisiae in liquid culture in a microtiter format. Detailed growth measurements were analyzed to reveal effects on ~5,500 different haploid strains that have either non-essential genes deleted or essential genes modified to generate unstable transcripts. The pattern of yeast mutants that are growth-inhibited (compared to WT cells) reveals the mechanisms ordinarily used to recover after damage. In addition to identifying previously-described DNA repair and cell cycle checkpoint deficient strains, we also identified new functional groups that profoundly affect MMS sensitivity, including RNA processing and telomere maintenance. Conclusions We present here a data-driven method to reveal modes of toxicity of different agents that impair cellular growth. The results from this study complement previous genomic phenotyping studies as we have expanded the data to include essential genes and to provide detailed mutant growth analysis for each individual strain. This eukaryotic testing system could potentially be used to screen compounds for toxicity, to identify mechanisms of toxicity, and to reduce the need for animal testing.en_US
dc.description.sponsorshipUnilever (Firm)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (grant CA055042)en_US
dc.description.sponsorshipNational Institutes of Health (U.S.) (grant ES002109)en_US
dc.description.sponsorshipSwedish Research Councilen_US
dc.description.sponsorshipSpanish Ministry of Science and Innovationen_US
dc.language.isoen_US
dc.publisherSpringer (Biomed Central Ltd.)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1186/1752-0509-5-157en_US
dc.rightsCreative Commons Attributionen_US
dc.rights.urihttp://creativecommons.org/licenses/by/2.0en_US
dc.titleGenomic phenotyping of the essential and non-essential yeast genome detects novel pathways for alkylation resistanceen_US
dc.typeArticleen_US
dc.identifier.citationSvensson, J Peter et al. “Genomic Phenotyping of the Essential and Non-essential Yeast Genome Detects Novel Pathways for Alkylation Resistance.” BMC Systems Biology 5.1 (2011): 157. Web. 1 Mar. 2012.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Center for Environmental Health Sciencesen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biological Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Biologyen_US
dc.contributor.departmentKoch Institute for Integrative Cancer Research at MITen_US
dc.contributor.approverSamson, Leona D.
dc.contributor.mitauthorSvensson, J. Peter
dc.contributor.mitauthorQuiros Pesudo, Laia
dc.contributor.mitauthorSamson, Leona D.
dc.contributor.mitauthorFry, Rebecca C.
dc.contributor.mitauthorAdeleye, Yeyejide A.
dc.contributor.mitauthorCarmichael, Paul
dc.relation.journalBMC Systems Biologyen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsSvensson, J Peter; Pesudo, Laia; Fry, Rebecca C; Adeleye, Yeyejide A; Carmichael, Paul; Samson, Leona Den
dc.identifier.orcidhttps://orcid.org/0000-0002-7112-1454
mit.licensePUBLISHER_CCen_US
mit.metadata.statusComplete


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