Combination of genomic approaches with functional genetic experiments reveals two modes of repression of yeast middle-phase meiosis genes

BMC Genomics

Research Article

Giora Simchen¹  Shlomit Farkash-Amar²  Zahava Siegfried²  Ariel Gispan²  Itamar Simon²  Michael Klutstein³  Ziv Bar-Joseph⁴  Guy Zinman⁴ 

[1] Department of Genetics, The Hebrew University, 91904, Jerusalem, Israel;Department of Microbiology and Molecular Genetics, The Institute for Medical Research - Israel-Canada, The Hebrew University-Hadassah Medical School, 91120, Jerusalem, Israel;Department of Microbiology and Molecular Genetics, The Institute for Medical Research - Israel-Canada, The Hebrew University-Hadassah Medical School, 91120, Jerusalem, Israel;Department of Genetics, The Hebrew University, 91904, Jerusalem, Israel;Telomere Biology Laboratory, Cancer Research UK, 44 Lincoln's Inn Fields, WC2A 3PX, London, UK;School of Computer Science, Carnegie Mellon University, 15213, Pittsburgh, PA, USA;

关键词: Meiotic Division;    Spore Wall;    Middle Phase;    Sporulation Medium;    W303 Strain;   

DOI  :  10.1186/1471-2164-11-478

 received in 2010-06-02, accepted in 2010-08-17,  发布年份 2010

来源: Springer

【 摘 要 】

BackgroundRegulation of meiosis and sporulation in Saccharomyces cerevisiae is a model for a highly regulated developmental process. Meiosis middle phase transcriptional regulation is governed by two transcription factors: the activator Ndt80 and the repressor Sum1. It has been suggested that the competition between Ndt80 and Sum1 determines the temporal expression of their targets during middle meiosis.ResultsUsing a combination of ChIP-on-chip and expression profiling, we characterized a middle phase transcriptional network and studied the relationship between Ndt80 and Sum1 during middle and late meiosis. While finding a group of genes regulated by both factors in a feed forward loop regulatory motif, our data also revealed a large group of genes regulated solely by Ndt80. Measuring the expression of all Ndt80 target genes in various genetic backgrounds (WT, sum1Δ and MK-ER-Ndt80 strains), allowed us to dissect the exact transcriptional network regulating each gene, which was frequently different than the one inferred from the binding data alone.ConclusionThese results highlight the need to perform detailed genetic experiments to determine the relative contribution of interactions in transcriptional regulatory networks.

【 授权许可】

Unknown   
© Klutstein et al; licensee BioMed Central Ltd. 2010. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.