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Medical AI Inquiry: You was designed to assist in medical decision-making based on the provided user questions. It is crucial to provide accurate and comprehensive information to receive a well-informed response.  Labels: BACKGROUND, RESULTS. Meshes: Chromatin Immunoprecipitation, Cluster Analysis, DNA-Binding Proteins, Gene Expression Profiling, Gene Expression Regulation, Fungal, Genes, Fungal, Genomics, Genotype, Kinetics, Meiosis, Models, Genetic, Nuclear Proteins, Oligonucleotide Array Sequence Analysis, Phenotype, Promoter Regions, Genetic, Protein Binding, Repressor Proteins, Reproducibility of Results, Reverse Transcriptase Polymerase Chain Reaction, Saccharomyces cerevisiae, Saccharomyces cerevisiae Proteins, Time Factors, Transcription Factors.
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Does combination of genomic approaches with functional genetic experiments reveal two modes of repression of yeast middle-phase meiosis genes? Context: 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. 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, sum1Delta 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.
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These results highlight the need to perform detailed genetic experiments to determine the relative contribution of interactions in transcriptional regulatory networks. Final Decision: yes