Combination of genomic approaches with functional genetic experiments reveals two modes of repression of yeast middle-phase meiosis genes
| Autor: | Guy Zinman, Ariel Gispan, Shlomit Farkash-Amar, Giora Simchen, Michael Klutstein, Itamar Simon, Ziv Bar-Joseph, Zahava Siegfried |
|---|---|
| Rok vydání: | 2010 |
| Předmět: |
Chromatin Immunoprecipitation
Saccharomyces cerevisiae Proteins Time Factors lcsh:QH426-470 Genotype lcsh:Biotechnology Saccharomyces cerevisiae Genes Fungal Repressor Meiosis lcsh:TP248.13-248.65 Gene Expression Regulation Fungal Genetics Transcriptional regulation Cluster Analysis Promoter Regions Genetic Transcription factor Gene Oligonucleotide Array Sequence Analysis biology Models Genetic Reverse Transcriptase Polymerase Chain Reaction Gene Expression Profiling Nuclear Proteins Reproducibility of Results Genomics biology.organism_classification Gene expression profiling DNA-Binding Proteins Repressor Proteins lcsh:Genetics Kinetics Phenotype DNA microarray Biotechnology Protein Binding Transcription Factors Research Article |
| Zdroj: | BMC Genomics BMC Genomics, Vol 11, Iss 1, p 478 (2010) |
| ISSN: | 1471-2164 |
| Popis: | Background Regulation 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. Results Using 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. Conclusion These results highlight the need to perform detailed genetic experiments to determine the relative contribution of interactions in transcriptional regulatory networks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
Full text from SpringerLink