Project description:This dataset consists of 784 non-responsive mutants (three or less significant mRNA expression changes as a result of the deletion) from a gene expression profile compendium of 1,484 deletion mutants that have a role or are implicated in mRNA transcription regulation, mRNA turnover, signaling or are located in the nucleus.
Project description:This dataset consists of 784 non-responsive mutants (three or less significant mRNA expression changes as a result of the deletion) from a gene expression profile compendium of 1,484 deletion mutants that have a role or are implicated in mRNA transcription regulation, mRNA turnover, signaling or are located in the nucleus.
Project description:This dataset consists of 784 non-responsive mutants (three or less significant mRNA expression changes as a result of the deletion) from a gene expression profile compendium of 1,484 deletion mutants that have a role or are implicated in mRNA transcription regulation, mRNA turnover, signaling or are located in the nucleus. Two channel microarrays were used. RNA isolated from a large amount of wt yeast from a single culture was used as a common reference. This common reference was used in one of the channels for each hybridization and used in the statistical analysis to obtain an average expression-profile for each deletion mutant relative to the wt. Two independent cultures were hybridized on two separate microarrays. For the first hybridization the Cy5 (red) labeled cRNA from the deletion mutant is hybridized together with the Cy3 (green) labeled cRNA from the common reference. For the replicate hybridization, the labels are swapped. Each gene is represented twice on the microarray, resulting in four measurements per mutant. Using the Erlenmeyer growth protocol up to five deletion strains were grown on a single day. In the tecan platereader, up to eleven deletion strains could be grown on a single day. Wt cultures were grown parallel to the deletion mutants to assess day-to-day variance.
Project description:To study the relevance of the phosphorylation of H4 in residues T30 and S47, we assessed the genome-wide transcriptional response of the non-phosphorylatable H4-T30A and the phospho-mimetic H4-T30D mutants upon heat stress and the phospho-mimetic H4-S47D mutant upon osmotic stress . Results point out that H4-T30(A/D) and H4-S47D mutants showed an impaired stress responsive gene expression indicating that these specific residues play a relevant role in, respectively, heat and osmotic stress responsive transcriptional regulation.
Project description:In response to carbon source switching from glucose to non-glucose, such as ethanol and galactose, yeast cells can directionally preprogram cellular metabolism to efficiently utilize the nutrients. However, the understanding of cellular responsive network to utilize a non-natural carbon source, such as xylose, is limited due to the incomplete knowledge on the xylose response mechanisms. Here, through optimization of the xylose assimilation pathway together with combinational evaluation of reported targets, we generated a series of mutants with varied growth ability. However, understanding how cells respond to xylose and remodel cellular metabolic network is far insufficient based on current information. Therefore, genome-scale transcriptional analysis was performed to unravel the cellular reprograming mechanisms underlying the improved growth phenotype.
