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dc.contributor.authorFerrezuelo, Francisco
dc.contributor.authorColomina, Neus
dc.contributor.authorFutcher, Bruce
dc.contributor.authorAldea Malo, Martí
dc.date.accessioned2019-10-21T10:50:17Z
dc.date.available2019-10-21T10:50:17Z
dc.date.issued2010-06-23
dc.identifier.citationFerrezuelo, Francisco; Colomina, Neus; Futcher, Bruce; Aldea Malo, Martí. «The transcriptional network activated by Cln3 cyclin at the G1-to-S transition of the yeast cell cycle». Genome Biology, 2010, vol. 11, art. R67. Disponible en: <https://genomebiology.biomedcentral.com/articles/10.1186/gb-2010-11-6-r67>. Fecha de acceso: 21 oct. 2019. DOI: https://doi.org/10.1186/gb-2010-11-6-r67ca
dc.identifier.issn1474-760Xca
dc.identifier.urihttp://hdl.handle.net/20.500.12328/1264
dc.description.abstractBackground: The G1-to-S transition of the cell cycle in the yeast Saccharomyces cerevisiae involves an extensive transcriptional program driven by transcription factors SBF (Swi4-Swi6) and MBF (Mbp1-Swi6). Activation of these factors ultimately depends on the G1 cyclin Cln3. Results: To determine the transcriptional targets of Cln3 and their dependence on SBF or MBF, we first have used DNA microarrays to interrogate gene expression upon Cln3 overexpression in synchronized cultures of strains lacking components of SBF and/or MBF. Secondly, we have integrated this expression dataset together with other heterogeneous data sources into a single probabilistic model based on Bayesian statistics. Our analysis has produced more than 200 transcription factor-target assignments, validated by ChIP assays and by functional enrichment. Our predictions show higher internal coherence and predictive power than previous classifications. Our results support a model whereby SBF and MBF may be differentially activated by Cln3. Conclusions: Integration of heterogeneous genome-wide datasets is key to building accurate transcriptional networks. By such integration, we provide here a reliable transcriptional network at the G1-to-S transition in the budding yeast cell cycle. Our results suggest that to improve the reliability of predictions we need to feed our models with more informative experimental data.ca
dc.format.extent18ca
dc.language.isoengca
dc.publisherBMCca
dc.relation.ispartofGenome Biologyca
dc.relation.ispartofseries11;
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/4.0/ca
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subject.otherGenomesca
dc.subject.otherGenomasca
dc.subject.otherADNca
dc.subject.otherDNAca
dc.subject.otherCln3ca
dc.subject.otherG1-to-Sca
dc.titleThe transcriptional network activated by Cln3 cyclin at the G1-to-S transition of the yeast cell cycleca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/acceptedVersionca
dc.embargo.termscapca
dc.subject.udc61ca
dc.identifier.doihttps://doi.org/10.1186/gb-2010-11-6-r67ca


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