Saccharomyces cerevisiae
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ABSTRACT:
PROVIDER: PRJNA203264 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Total RNA versus genomic DNA hybridization on custom arrays designed for all Saccharomyces cerevisiae genes
2010-07-06 | GSE22204 | GEO
Project description:This experiment aims to map nucleosome positions and comparison of the same in WT NORMAL GROWTH vs WT-NUTRIENT STARVATION/isw1∆2∆ MUTANT/rsc4-∆4 MUTANT in Saccharomyces cerevisiae using a custom designed tiling array on Agilent plat form. The corresponding platform is submitted to GEO under Geo-ID GPL15842. 60mer probes with variable tiling density were designed for all the genes transcribed by RNA polymerase III. Each gene is tiled along with its 1kb downstream and upstream region with the exceptions of RPR1, SCR1, RDN5(1-6) and SNR52. Mononucleosomal DNA and size matched naked DNA was competitively hybridized to the array. Data was extracted and normalized log ratios were calculated using Agilent sofware. Normalized log2 ratio data was used in MLM to detection nucleosome positions.
2013-06-21 | GSE39802 | GEO
Project description:Total RNA versus genomic DNA hybridization on custom arrays designed for all Saccharomyces cerevisiae genes Total RNA was collected in mid-log phase from Saccharomyces cerevisiae cells grown in rich medium (abbreviated CM, in house recipe). RNA was then converted to cDNA, Cy3-labeled and hybridized competitively against Cy5 labeled genomic DNA from Saccharomyces cerevisiae.
2010-07-05 | E-GEOD-22204 | biostudies-arrayexpress
Project description:H3 ChIP and input DNA were hybridized to Affymetrix GeneChip S. cerevisiae Tiling 1.0R Array Genome-wide mapping of nucleosomes generated by micrococcal nuclease (MNase) suggests that yeast promoter and terminator regions are very depleted of nucleosomes, predominantly because their DNA sequences intrinsically disfavor nucleosome formation. However, MNase has strong DNA sequence specificity that favors cleavage at promoters and terminators and accounts for some of the correlation between occupancy patterns of nucleosomes assembled in vivo and in vitro. Using an improved method for measuring nucleosome occupancy in vivo that does not involve MNase, we confirm that promoter regions are strongly depleted of nucleosomes, but find that terminator regions are much less depleted than expected. Unlike at promoter regions, nucleosome occupancy at terminators is strongly correlated with the orientation of and distance to adjacent genes. In addition, nucleosome occupancy at terminators is strongly affected by growth conditions, indicating that it is not primarily determined by intrinsic histone-DNA interactions. Rapid removal of RNA polymerase II (Pol II) causes increased nucleosome occupancy at terminators, strongly suggesting a transcription-based mechanism of nucleosome depletion. However, the distinct behavior of terminator regions and their corresponding coding regions suggests that nucleosome depletion at terminators is not simply associated with passage of Pol II, but rather involves a distinct mechanism linked to 3’ end formation.
2010-09-21 | GSE23778 | GEO
Project description:Saccharomyces cerevisiae RNA and DNA reads
| PRJNA342343 | ENA
Project description:Saccharomyces cerevisiae DNA:RNA hybrid mapping
| PRJNA314359 | ENA
Project description:To determine the genomic location of a gene that permits xylose utilization we conducted bulk segregant analysis (BSA) using Affymetrix yeast tiling arrays. BSA works by taking advantage of DNA sequence polymorphisms between different strains and the fact that it is relatively easy to pool large numbers of meiotic spore products (segregants) in yeast. Pooling segregants based on their phenotype allows the region of the genome responsible for the phenotype to be detected. This is because DNA polymorphisms in regions unlinked to the locus causing the phenotype will segregate randomly and be “evened” out, while around the genomic region of interest, sequences or polymorphisms responsible for the trait will be present in all positive segregants, and absent in all negative segregants. In our case, a Simi White wine strain (S. cerevisiae) carrying the locus responsible for xylose utilization was crossed to a laboratory strain of Saccharomyces cerevisiae; this strain was estimated to carry DNA polymorphisms relative to the laboratory strain at a level of approximately .5%. Spores from the Simi White / S288c diploid were screened for the xylose utilization phenotype and 39 positive spores were combined into one pool and 39 negative spores into another pool, and genomic DNA (gDNA) was isolated from each pool. We then hybridized the positive and negative gDNA pools to tiling microarrays that were based on the S288c reference genome with the expectation that regions of the genome derived from Simi White will hybridize less robustly to the array because of the DNA polymorphisms between Simi White and S288c. Log2 ratios of probe intensities were calculated (negative/positive), and a peak appeared in the chromosome XV right subtelomeric region that corresponds to less robust hybridization to the microarray of the positive pool gDNA coming from this region of the genome
2010-04-09 | GSE19120 | GEO
Project description:Honokiol (HNK), one of the main medicinal components in Magnolia officinalis, possesses antimicrobial activity against a variety of pathogenic bacteria and fungi.S. cerevisiae is a model eukaryote used for investigating the cellular and molecular mechanisms of anti-fungal drugs. To explore the molecular mechanism of its anti-fungal activity, we determined the effects of HNK on the mRNA expression profile of Saccharomyces cerevisiae using a DNA microarray approach.
2017-05-22 | GSE94945 | GEO
Project description:Sequencing of mononucleosomal DNA during G1 and S phases in Saccharomyces cerevisiae
2014-09-09 | GSE54377 | 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