Saccharomyces cerevisiae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA93421 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Analysis of the transcriptome of the wild-type strain BY4741 and its isogenic derivative ixr1 null, grown in aerobic, hypoxic conditions and after a hypoxic shift
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Project description:Samples GSM206658-GSM206693: Acquired Stress resistance in S. cerevisiae: NaCl primary and H2O2 secondary Transcriptional timecourses of yeast cells exposed to 0.7M NaCl alone, 0.5mM H2O2 alone, or 0.5mM H2O2 following 0.7M NaCl, all compared to an unstressed sample. Repeated using msn2∆ strain. Samples GSM291156-GSM291196: Transcriptional response to stress in strains lacking MSN2 and/or MSN4 Transcriptional timecourses of yeast cells (WT, msn2∆, msn4∆, or msn2∆msn4∆) exposed to 0.7M NaCl for 45 minutes or 30-37˚C Heat Shift for 15 min compared to an unstressed sample of the same strain. Keywords: Stress Response
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Project description:Analysis of the transcriptome of the wild-type strain BY4741 and its isogenic derivative ixr1 null, grown in aerobic, hypoxic conditions and after a hypoxic shift Two biological replicates in two technical replicates for each growth condition
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Project description:Protein phosphorylation has long been recognized as an essential regulator of protein activity, structure, complex formation, and sub-cellular localization among other cellular mechanisms. However, interpretation of the changes in protein phosphorylation is difficult. To address this difficulty, we measured protein and phosphorylation site changes across 11 points of a time course and developed a method for categorizing phosphorylation site behavior relative to protein level changes using the diauxic shift in yeast as a model and TMT11 sample multiplexing. We classified quantified proteins into behavioral categories that reflected differences in kinase activity, protein complex structure, and growth and metabolic pathway regulation across different phases of the diauxic shift. These data also provide a valuable resource for the study of fermentative versus respiratory growth and set a new benchmark for temporal quantitative proteomics and phosphoproteomics for Diauxic Shift in Saccharomyces cerevisiae.
2021-03-04 | PXD022741 | Pride
Project description:Yeast (Saccharomyces cerevisea) has served as a key model system in biology and as a benchmark for “omics” technology. Although near-complete proteomes of log phase yeast have been measured, protein abundance in yeast is dynamic, particularly during the transition from log to stationary phase. Defining the dynamics of proteomic changes during this transition, termed the diauxic shift, is important to understand the basic biology of proliferative versus quiescent cells. Here, we perform temporal quantitative proteomics to fully capture protein induction and repression during the diauxic shift. Accurate and sensitive quantitation at a high temporal resolution and depth of proteome coverage was achieved using TMT10 reagents and LC-MS3 analysis on an Orbitrap Fusion tribrid mass spectrometer deploying synchronous precursor selection (SPS). We devised a simple template matching strategy to reveal temporal patterns of protein induction and repression. Within these groups are functionally distinct groups of proteins such as those of glyoxylate metabolism, as well as many proteins of unknown function not previously associated with the diauxic shift (e.g. YNR034W-A and FMP16). We also perform a dual time-course to determine Hap2-dependent proteins during the diauxic shift. These data serve as an important basic model for fermentative versus respiratory growth of yeast and other eukaryotes and are a benchmark for temporal quantitative proteomics.st (Saccharomyces cerevisea) has served as a key model system in biology and as a benchmark for “omics” technology. Although near-complete proteomes of log phase yeast have been measured, protein abundance in yeast is dynamic, particularly during the transition from log to stationary phase. Defining the dynamics of proteomic changes during this transition, termed the diauxic shift, is important to understand the basic biology of proliferative versus quiescent cells. Here, we perform temporal quantitative proteomics to fully capture protein induction and repression during the diauxic shift. Accurate and sensitive quantitation at a high temporal resolution and depth of proteome coverage was achieved using TMT10 reagents and LC-MS3 analysis on an Orbitrap Fusion tribrid mass spectrometer deploying synchronous precursor selection (SPS). We devised a simple template matching strategy to reveal temporal patterns of protein induction and repression. Within these groups are functionally distinct groups of proteins such as those of glyoxylate metabolism, as well as many proteins of unknown function not previously associated with the diauxic shift (e.g. YNR034W-A and FMP16). We also perform a dual time-course to determine Hap2-dependent proteins during the diauxic shift. These data serve as an important basic model for fermentative versus respiratory growth of yeast and other eukaryotes and are a benchmark for temporal quantitative proteomics.
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