Saccharomyces cerevisiae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA94191 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We developed a 'Virtual Northern' method, using DNA microarrays for genome-wide systematic analysis of mRNA lengths. We used this method to measure mRNAs corresponding to 84% of the annotated open reading frames (ORFs) in the S. cerevisiae genome, with high precision and accuracy (measurement errors 1 6-7%). We found a close linear relationship between mRNA lengths and the lengths of known or predicted translated sequences; mRNAs were typically around 300 nucleotides longer than the translated sequences. Analysis of genes deviating from that relationship identified ORFs with annotation errors, ORFs that appear not to be bona fide genes, and potentially novel genes. Interestingly, we found that systematic differences in the total length of the untranslated sequences in mRNAs were related to the functions of the encoded proteins. Groups of assays that are related as part of a time series. Keywords: time_series_design
2005-12-30 | GSE3932 | GEO
Project description:Saccharomyces cerevisiae is an excellent microorganism for industrial succinic acid production, but high succinic acid concentration will inhibit the growth of Saccharomyces cerevisiae then reduce the production of succinic acid. Through analysis the transcriptomic data of Saccharomyces cerevisiae with different genetic backgrounds under different succinic acid stress, we hope to find the response mechanism of Saccharomyces cerevisiae to succinic acid.
2022-01-09 | GSE193190 | GEO
Project description:We developed a 'Virtual Northern' method, using DNA microarrays for genome-wide systematic analysis of mRNA lengths. We used this method to measure mRNAs corresponding to 84% of the annotated open reading frames (ORFs) in the S. cerevisiae genome, with high precision and accuracy (measurement errors 1 6-7%). We found a close linear relationship between mRNA lengths and the lengths of known or predicted translated sequences; mRNAs were typically around 300 nucleotides longer than the translated sequences. Analysis of genes deviating from that relationship identified ORFs with annotation errors, ORFs that appear not to be bona fide genes, and potentially novel genes. Interestingly, we found that systematic differences in the total length of the untranslated sequences in mRNAs were related to the functions of the encoded proteins. Groups of assays that are related as part of a time series. Computed
2005-12-29 | E-GEOD-3932 | biostudies-arrayexpress
Project description:To understand the gene expression in Saccharomyces cerevisiae under fermentative and respiraotry conditions, we perfomred the genome-wide gene expression profiling for the log-phase cells of S. cerevisiae wild type, sef1 deletion, and hyperactive SEF1-VP16 mutants under the YPD and YPGly conditions.
2024-03-25 | GSE262043 | GEO
Project description:<p><em>Saccharomyces cerevisiae</em> is a widely used cell factory; therefore, it is important to understand how it organizes key functional parts when cultured under different conditions. Here, we perform a multiomics analysis of <em>S. cerevisiae</em> by culturing the strain with a wide range of specific growth rates using glucose as the sole limiting nutrient. Under these different conditions, we measure the absolute transcriptome, the absolute proteome, the phosphoproteome, and the metabolome. Most functional protein groups show a linear dependence on the specific growth rate. Proteins engaged in translation show a perfect linear increase with the specific growth rate, while glycolysis and chaperone proteins show a linear decrease under respiratory conditions. Glycolytic enzymes and chaperones, however, show decreased phosphorylation with increasing specific growth rates; at the same time, an overall increased flux through these pathways is observed. Further analysis show that even though mRNA levels do not correlate with protein levels for all individual genes, the transcriptome level of functional groups correlates very well with its corresponding proteome. Finally, using enzyme-constrained genome-scale modeling, we find that enzyme usage plays an important role in controlling flux in amino acid biosynthesis.</p>
2022-08-31 | MTBLS697 | MetaboLights
Project description:Genome-wide Analysis of Nascent Transcription in Saccharomyces cerevisiae
| PRJNA149379 | ENA
Project description:Global analysis of mRNA decay intermediates in Saccharomyces cerevisiae
| PRJNA148473 | ENA
Project description:The use of alternative polyadenylation sites is common and affects the post-transcriptional fate of mRNA, including its stability, localization, and translation. Here we present a method for genome-wide and strand-specific mapping of poly(A) sites and quantification of RNA levels at unprecedented efficiency by using an on-cluster dark T-fill procedure on the Illumina sequencing platform. Our method outperforms former protocols in quality and throughput, and reveals new insights into polyadenylation in Saccharomyces cerevisiae.
2013-01-10 | GSE40110 | GEO
Project description:Investigating Saccharomyces cerevisiae genome-wide gene expression response to tetracycline family chemicals.
2020-08-11 | GSE155989 | GEO
Project description:Industrial bioethanol production may involve a low pH environment,improving the tolerance of S. cerevisiae to a low pH environment caused by inorganic acids may be of industrial importance to control bacterial contamination, increase ethanol yield and reduce production cost. Through analysis the transcriptomic data of Saccharomyces cerevisiae with different ploidy under low pH stress, we hope to find the tolerance mechanism of Saccharomyces cerevisiae to low pH.
2022-12-09 | GSE210964 | GEO