Saccharomyces cerevisiae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA261390 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1578230.fastq.gz | Fastqsanger.gz | |||
| SRR1578231.fastq.gz | Fastqsanger.gz | |||
| SRR1578222.fastq.gz | Fastqsanger.gz | |||
| SRR1578232.fastq.gz | Fastqsanger.gz | |||
| SRR1578223.fastq.gz | Fastqsanger.gz |
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Project description:This project aims to identify novel RNA binding proteins in the baker's yeast, Saccharomyces cerevisiae. Since interactions between RNAs and proteins may be transient, yeast cells were crosslinked with UV light at 254 nm which promotes the covalent link between proteins and RNAs. After this, polyadenylated mRNAs were purified via oligo(dT) coupled to magentic beads under stringet conditions. Finally, samples were subjected to mass spectrometry analysis. To rule out the possibility of RNA-independent binding we also analysed other samples: i) samples digested with RNase one; ii) samples where we performed competition assays with polyadenylic acid.
2015-10-26 | PXD002293 | Pride
Project description:The CRISPR-Cas system represents an RNA-based adaptive immune response system in prokaryotes. CRISPRs (Clustered Regularly Interspaced Short Palindromic Repeats) consist of arrays of short repeat sequences interspaced by non-repetitive short spacers, some of which show sequence similarity to foreign phage genetic elements. Their cistronic transcripts are processed to produce the mature CRISPR RNAs (crRNAs), the elements that confer immunity by base-pairing with exogenous nucleic acids. We characterized the expression and processing patterns of Thermus thermophilus HB8 CRISPRs using differential deep-sequencing, which differentiates between 5’ monophosphate and 5’ non-monophosphate-containing RNAs, and/or between 3’ hydroxyl and 3’ non-hydroxyl-containing RNAs. The genome of T. thermophilus HB8 encodes 11 CRISPRs, classified into three distinct repeat sequence types, all of which were constitutively expressed without deliberately infecting the bacteria with phage. Analysis of the differential deep sequencing data suggested that crRNAs are generated by endonucleolytic cleavage, leaving fragments with 5’ hydroxyl and 3’ phosphate or 2’,3’-cyclic phosphate termini. The 5’ ends of all crRNAs are generated by site-specific cleavage eight nucleotides upstream of the spacer start position, however, the 3’ ends, are generated by two alternative, repeat-sequence-type-dependent mechanisms. These observations are consistent with the operation of multiple crRNA processing systems within a bacterial strain.
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Project description:Global Identification of Noncoding RNAs in S. cerevisiae
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Project description:This project aims to identify novel RNA binding proteins in the baker's yeast , Saccharomyces cerevisiae, involved in the oxidative stress,. Since interactions between RNAs and proteins may be transient, yeast cells, either untreated and growth in rich media and exposed to 0.5 mM hydrogen peroxide for 15 minutes were crosslinked with UV light at 254 nm which promotes the covalent link between proteins and RNAs. After this, polyadenylated mRNAs were purified via oligo(dT) coupled to magentic beads under stringent conditions. Finally, samples were subjected to mass spectrometry analysis. To rule out the possibility of RNA-independent binding we also analysed other samples where we performed competition assays with polyadenylic acid
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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.
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Project description:Background: Recent studies have demonstrated that antisense transcription is pervasive in budding yeasts and is conserved between Saccharomyces cerevisiae and S. paradoxus. While studies have examined antisense transcripts of S. cerevisiae for inverse transcription in stationary phase and stress conditions, there is a lack of comprehensive analysis of the conditional specific evolutionary characteristics of antisense transcription between yeasts. Here we attempt to decipher the evolutionary relationship of antisense transcription of S. cerevisiae and S. paradoxus cultured in mid log, early stationary phase, and heat shock conditions. Results: Massively parallel sequencing of sequence strand-specific cDNA library was performed from RNA isolated from S. cerevisiae and S. paradoxus cells at mid log, stationary phase and heat shock conditions. We performed this analysis using a stringent set of sense ORF transcripts and non-coding antisense transcripts that were expressed in all the three conditions, as well as in both species. We found the divergence of the condition specific anti-sense transcription levels is higher than that in condition specific sense transcription levels, suggesting that antisense transcription played a potential role in adapting to different conditions. Furthermore, 43% of sense-antisense pairs demonstrated inverse transcription in either stationary phase or heat shock conditions relative to the mid log conditions. In addition, a large part of sense-antisense pairs (67%), which demonstrated inverse transcription, were highly conserved between the two species. Our results were also concordant with known functional analyses from previous studies and with the evidence from mechanistic experiments of role of individual genes. Conclusions: This study provides a comprehensive picture of the role of antisense transcription mediating sense transcription in different conditions across yeast species. We can conclude from our findings that antisense regulation could act like an on-off switch on sense regulation in different conditions.
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