Saccharomyces cerevisiae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA523843 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Long read sequencing of diastatic Saccharomyces cerevisiae
| PRJNA544899 | ENA
Project description:Short-read RNA-seq was performed on rRNA-depleted RNA isolated from spores of the budding yeast Saccharomyces cerevisiae that were sorted by mating type.
2021-08-17 | GSE180221 | GEO
Project description:Comparative genomics of Saccharomyces cerevisiae strains using PacBio long-read sequencing
| PRJNA349093 | ENA
Project description:Sequencing of mononucleosomal DNA during G1 and S phases in Saccharomyces cerevisiae Samples from mononucleosomal DNA from WT and rpd3 mutant strains (W303-1a background) in G1 or in S phase in the presence of 0.2 M HU were sequenced (Illumina Genome Analyzer IIx) using the single-end read protocol
2014-09-09 | E-GEOD-54377 | biostudies-arrayexpress
Project description:The polyploid S. cerevisiae karyotypes were analyzed by array-CGH to identify the deletion or duplication of gene or chromosome during the strain construction and after experimental evolution.
2016-10-11 | GSE76595 | GEO
Project description:Efficient Yeast ChIP-Seq using Multiplex Short-Read DNA Sequencing
| PRJNA109913 | ENA
Project description:The formation of heterochromatin at HML, HMR, and telomeres in Saccharomyces cerevisiae involves two main steps: Recruitment of Sir proteins to silencers and their spread throughout the silenced domain. For the following datasets, we created a fusion protein between the heterochromatin protein Sir3 and the non-site-specific bacterial adenine methyltransferase M.EcoGII. We mapped sites of Sir3-chromatin interactions genome-wide using long-read Nanopore sequencing to detect adenines methylated by the fusion protein. We also used a temperature-sensitive allele of SIR3 (sir3-8) fused to M.ECOGII to induce m6A methylation over time. Time courses involved a switch from restrictive temperature (37°C) to permissive temperature (25°C).
2022-01-17 | GSE190136 | GEO
Project description:Nonylphenol (NP), is a bioaccumulative environmental estrogen that is widely used as a nonionic surfactant. We have previously examined short-term effects of NP on yeast cells using microarray technology. In the present study, we investigated the long-term impacts of NP on Saccharomyces cerevisiae BY4742 cells by analyzing genome-wide transcriptional profiles using RNA-sequencing. We used 2 mg/L NP concentration exposure for 40 days. Gene expression analysis showed that a total of 948 genes were differentially expressed. Of these, 834 genes were downregulated, while 114 genes were significantly upregulated. GO enrichment analysis revealed that 369 GO terms were significantly affected by NP exposure. Further analysis showed that many of the differentially expressed genes were associated with oxidative phosphorylation, iron and copper acquisition, autophagy, pleiotropic drug resistance and cell cycle progression and related processes such as DNA and mismatch repair, chromosome segregation, spindle checkpoint activity, and kinetochore organization. Overall, these results provide considerable information and a comprehensive understanding of the long-term effects of NP at the gene expression level.
2020-11-12 | GSE158124 | GEO
Project description:The vanillin tolerance Saccharomyces cerevisiae was screened and compared intracellular ergosterol levels with several laboratory yeast strains, to study potential relationship between ergosterol contents and vanillin tolerance. S. cerevisiae NBRC1950 was selected as a vanillin tolerant strain. Its ergosterol contents were higher than those of laboratory strains. The results of DNA microarray and quantitative RT-PCR analysis showed that 5 genes involved in ergosterol biosynthesis (ERG28, HMG1, MCR1, ERG5 and ERG7) were up-regulated in NBRC 1950 compared with strain X2180, suggested that high expressions of genes involved in ergosterol biosynthesis may cause for the high ergosterol content in strain NBRC 1950. S. cerevisiae HX strain, which was a high ergosterol content strain derived from X2180, became more tolerant to vanillin compared with the parental strain. It is suggested that high ergosterol contents may be in part responsible for vanillin tolerance. These findings provide a biotechnological basis for the molecular engineering of S. cerevisiae with increased tolerance to vanillin.
2009-06-29 | GSE13755 | GEO
Project description:Objectives: To perform long-read transcriptome and proteome profiling of pathogen-stimulated peripheral blood mononuclear cells (PBMCs) from healthy donors. We aim to discover new transcripts and protein isoforms expressed during immune responses to diverse pathogens. Methods: PBMCs were exposed to four microbial stimuli for 24 hours: the TLR4 ligand lipopolysaccharide (LPS), the TLR3 ligand Poly(I:C), heat-inactivated Staphylococcus aureus, Candida albicans, and RPMI medium as negative controls. Long-read sequencing (PacBio) of one donor and secretome proteomics and short-read sequencing of five donors were performed. IsoQuant was used for transcriptome construction, Metamorpheus/FlashLFQ for proteome analysis, and Illumina short-read 3’-end mRNA sequencing for transcript quantification. Results: Long-read transcriptome profiling reveals the expression of novel sequences and isoform switching induced upon pathogen stimulation, including transcripts that are difficult to detect using traditional short-read sequencing. We observe widespread loss of intron retention as a common result of all pathogen stimulations. We highlight novel transcripts of NFKB1 and CASP1 that may indicate novel immunological mechanisms. In general, RNA expression differences did not result in differences in the amounts of secreted proteins. Interindividual differences in the proteome were larger than the differences between stimulated and unstimulated PBMCs. Clustering analysis of secreted proteins revealed a correlation between chemokine (receptor) expression on the RNA and protein levels in C. albicans- and Poly(I:C)-stimulated PBMCs. Conclusion: Isoform aware long-read sequencing of pathogen-stimulated immune cells highlights the potential of these methods to identify novel transcripts, revealing a more complex transcriptome landscape than previously appreciated.
2023-09-16 | PXD045237 | Pride