Project description:This dataset contains global label-free proteomics data from Saccharomyces cerevisiae cultivated under carbon-limited chemostat conditions. Samples were collected under aerobic and anaerobic steady-state conditions and after establishment of a dynamic steady state induced by repetitive glucose pulses. Proteomic analysis was performed to investigate oxygen-dependent metabolic adaptation and long-term proteome reprogramming in response to transient carbon excess under nutrient-limited conditions. Raw mass spectrometry files and processed identification and quantification results are provided.
Project description:The inhibitors hydroxymethylfurfural (HMF) and furfural were added to the feed-medium of carbon-limited anaerobic chemostat cultures. Samples were taken for transcriptome analysis at steady-state from cultures with inhibitors and without inhibitors.
Project description:Background Microorganisms adapt their transcriptome by integrating multiple chemical and physical signals from their environment. Shake-flask cultivation does not allow precise manipulation of individual culture parameters and therefore precludes a quantitative analysis of the (combinatorial) influence of these parameters on transcriptional regulation. Steady-state chemostat cultures, which do enable accurate control, measurement and manipulation of individual cultivation parameters (e.g. specific growth rate, temperature, identity of the growth-limiting nutrient) appear to provide a promising experimental platform for such a combinatorial analysis. Results A microarray compendium of 170 steady-state chemostat cultures of the yeast Saccharomyces cerevisiae is presented and analyzed. The 170 microarrays encompass 55 unique conditions, which can be characterized by the combined settings of 10 different cultivation parameters. By applying a regression model to assess the impact of (combinations of) cultivation parameters on the transcriptome, most S. cerevisiae genes were shown to be influenced by multiple cultivation parameters, and in many cases by combinatorial effects of cultivation parameters. The inclusion of these combinatorial effects in the regression model led to higher explained variance of the gene expression patterns and resulted in higher function enrichment in subsequent analysis. We further demonstrate the usefulness of the compendium and regression analysis for interpretation of shake-flask-based transcriptome studies and for guiding functional analysis of (uncharacterized) genes and pathways. Conclusions Modeling the combinatorial effects of environmental parameters on the transcriptome is crucial for understanding transcriptional regulation. Chemostat cultivation offers a powerful tool for such an approach. Keywords: chemostat steady state samples
Project description:The inhibitors hydroxymethylfurfural (HMF) and furfural were added to the feed-medium of carbon-limited anaerobic chemostat cultures. Samples were taken for transcriptome analysis at steady-state from cultures with inhibitors and without inhibitors. Three biological replicates from each condition (inhibitors, no inhibitors) were analyzed.
Project description:We combined the nuclear run-on (NRO) assay which labels and captures nascent transcripts with high throughput DNA sequencing to examine transcriptional activity in Saccharomyces cerevisiae. Examination of nascent transcripts and steady-state transcripts in exponentially growing and heat-shock treated yeast.