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.
English
61 - Medical sciences
Genomes; Genomas; ADN; DNA; Cln3; G1-to-S
18
BMC
11;
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.
Genome Biology
http://creativecommons.org/licenses/by-nc-nd/4.0/
Attribution-NonCommercial-NoDerivatives 4.0 International
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