dc.contributor.author
Ferrezuelo, Francisco
dc.contributor.author
Colomina, Neus
dc.contributor.author
Futcher, Bruce
dc.contributor.author
Aldea Malo, Martí
dc.date.accessioned
2025-05-20T00:04:02Z
dc.date.available
2025-05-20T00:04:02Z
dc.date.issued
2010-06-23
dc.identifier.citation
Ferrezuelo, 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-r67
dc.identifier.issn
1474-760X
dc.identifier.uri
http://hdl.handle.net/20.500.12328/1264
dc.description
Thanks to Sylvia Gutiérrez Erlandsson for technical assistance with flow cytometry, Herman Wijnen for providing plasmid pML1 (pRS313-PMET3 CLN2), and two anonymous reviewers for their helpful suggestions. This work was funded by the Ministerio de Ciencia e Innovación of Spain (Consolider-Ingenio 2010), and the European Union (FEDER). FF and NC are researchers of the Ramón y Cajal program.
dc.description.abstract
Background: 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.
dc.relation.ispartof
Genome Biology
dc.relation.ispartofseries
11;
dc.rights
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights
Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.title
The transcriptional network activated by Cln3 cyclin at the G1-to-S transition of the yeast cell cycle
dc.type
info:eu-repo/semantics/article
dc.description.version
info:eu-repo/semantics/acceptedVersion
dc.identifier.doi
https://doi.org/10.1186/gb-2010-11-6-r67