Saccharomyces cerevisiae
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA258278 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1552360.fastq.gz | Fastqsanger.gz | |||
| SRR1552370.fastq.gz | Fastqsanger.gz | |||
| SRR1552361.fastq.gz | Fastqsanger.gz | |||
| SRR1552371.fastq.gz | Fastqsanger.gz | |||
| SRR1552362.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Pseudouridine (Ψ) is the most abundant RNA modification, yet little is known about its content, dynamics and function in mRNA and ncRNA. Here, we perform quantitative MS analysis and develop CAP-seq for transcriptome-wide Ψ profiling. The unexpected high Ψ content (Ψ/U ratio: ~ 0.2% to 0.6%) indicates that pseudouridylation in mammalian mRNA is much more prevalent and comprehensive than previously believed. In concordance, CAP-seq identified 2,084 Ψ sites within 1,929 human transcripts. We prove four previously unknown Ψ sites in rRNA and EEF1A1 mRNA. Genetic and biochemical analysis uncover PUS1 as a major human mRNA Ψ synthase. In response to stimuli, Ψ level and sites are dynamically modulated in stimulus-specific manners. Comparisons between human and mouse pseudouridylation reveal conserved and unique sites across tissue and species. We observe stop codon pseudouridylation and readthrough events simultaneously for HSPB1 mRNA, indicating a role in nonsense suppression. Together, these approaches allow in-depth analysis of transcriptome-wide pseudouridylation events and our comprehensive study provides a resource for functional studies of Ψ-mediated epigenetic regulation. Here we report a transcriptome-wide profiling method that utilizes a chemically synthesized N3-CMC, which pre-enriches the Ψ-containing RNAs and blocks the reverse transcription.Mapping the Ψ sites in human transcriptome was performed using HEK293T and PUS1 dependent Ψ sites were identified by comparing PUS1 knock out cells with wildtype cells. Stress inducible or suppressed Ψ sites were identified by comparing stress treated cells with untreated cells. And mouse brain and liver were used to map Ψ sites in mouse transcriptome.
2015-06-05 | E-GEOD-63655 | biostudies-arrayexpress
Project description:Pseudouridine (Ψ) is the most abundant RNA modification, yet little is known about its content, dynamics and function in mRNA and ncRNA. Here, we perform quantitative MS analysis and develop CAP-seq for transcriptome-wide Ψ profiling. The unexpected high Ψ content (Ψ/U ratio: ~ 0.2% to 0.6%) indicates that pseudouridylation in mammalian mRNA is much more prevalent and comprehensive than previously believed. In concordance, CAP-seq identified 2,084 Ψ sites within 1,929 human transcripts. We prove four previously unknown Ψ sites in rRNA and EEF1A1 mRNA. Genetic and biochemical analysis uncover PUS1 as a major human mRNA Ψ synthase. In response to stimuli, Ψ level and sites are dynamically modulated in stimulus-specific manners. Comparisons between human and mouse pseudouridylation reveal conserved and unique sites across tissue and species. We observe stop codon pseudouridylation and readthrough events simultaneously for HSPB1 mRNA, indicating a role in nonsense suppression. Together, these approaches allow in-depth analysis of transcriptome-wide pseudouridylation events and our comprehensive study provides a resource for functional studies of Ψ-mediated epigenetic regulation.
2015-06-05 | GSE63655 | GEO
Project description:Purpose:Pseudouridine (Ψ) is the most abundant RNA epigenetic modification and plays vital roles in various biological processes. However, its biogenesis and functions in mRNAs remain elusive. Method:Here, we developed an approach for enriching Ψ sites with deep sequencing (edu-Ψ-seq), which utilizes both exoribonuclease and restriction endonuclease activity to eliminate other nucleosides or reads without Ψ modifications. Results:Using edu-Ψ-seq approach in the dyskerin pseudouridine synthase 1 (DKC1) knockdown cells, we identified that more than 100 pseudouridines could be catalyzed by DKC1 in human mRNAs and non-coding RNAs (ncRNAs). Surprisingly, we discovered, for the first time, 10 pseudouridines in mRNAs might be guided by 11 small nucleolar ncRNAs (snoRNAs). Interestingly, we found that SNORA10 could guide DKC1 protein to induce the pseudouridylation of RPL15 mRNA. Importantly, loss of SNORA10 impaired the protein synthesis of RPL15 and inhibited cell proliferation. Conclusion:Overall, our study not only developed a powerful method for detecting Ψ sites but also uncovered another layer of gene expression regulation that involves crosstalk among snoRNAs, mRNA pseudouridylation and protein synthesis.
2024-10-18 | GSE190820 | GEO
Project description:Purpose:Pseudouridine (Ψ) is the most abundant RNA epigenetic modification and plays vital roles in various biological processes. However, its biogenesis and functions in mRNAs remain elusive. Method:Here, we developed an approach for enriching Ψ sites with deep sequencing (edu-Ψ-seq), which utilizes both exoribonuclease and restriction endonuclease activity to eliminate other nucleosides or reads without Ψ modifications. Results:Using edu-Ψ-seq approach in the dyskerin pseudouridine synthase 1 (DKC1) knockdown cells, we identified that more than 100 pseudouridines could be catalyzed by DKC1 in human mRNAs and non-coding RNAs (ncRNAs). Surprisingly, we discovered, for the first time, 10 pseudouridines in mRNAs might be guided by 11 small nucleolar ncRNAs (snoRNAs). Interestingly, we found that SNORA10 could guide DKC1 protein to induce the pseudouridylation of RPL15 mRNA. Importantly, loss of SNORA10 impaired the protein synthesis of RPL15 and inhibited cell proliferation. Conclusion:Overall, our study not only developed a powerful method for detecting Ψ sites but also uncovered another layer of gene expression regulation that involves crosstalk among snoRNAs, mRNA pseudouridylation and protein synthesis.
2024-10-18 | GSE192381 | GEO
Project description:In cells lacking the histone methyltransferase Set2, initiation of RNA polymerase II transcription occurs inappropriately within the protein-coding regions of genes, rather than being restricted to the proximal promoter. Here, we mapped the transcripts produced in an S. cerevisiae strain lacking Set2, and applied rigorous statistical methods to identify sites of cryptic transcription at high resolution.
2008-10-31 | GSE13310 | GEO
Project description:Mapping Replication Fork Pause Sites in S. cerevisiae
| PRJNA117157 | ENA
Project description:Genome wide Mms1-binding sites in S. cerevisiae
| PRJNA385333 | ENA
Project description:Genome wide mapping of RNA polymearase III binding sites in Saccharomyces cerevisiae under normal growth and nutrient starved condition using ChIP-seq. Chromatin Immuno-precipitation (ChIP) was performed for FLAG tagged version of pol III subunit RPC128 after crosslinking the log-phase cells with formaldehyde. MOCK and IP DNA was sequenced and coverage of pol III was calculated at each base of the genome.
2013-06-21 | GSE39566 | GEO
Project description:LPS was used as a stressor to stimulate the model organism Saccharomyces cerevisiae. To detect extracellular metabolic information of VOCs. To provide a molecular basis for cellular metabolism of VOCs by proteome.
2023-12-18 | PXD047920 |
Project description:In this study, we characterize the protein uptake and degradation pathways of S. cerevisiae to better understand its impact on protein secretion titers. We do find that S. cerevisiae can consume significant (g/L) quantities of whole proteins. Characterizing the systems with metabolomics and transcriptomics, we identify metabolic and regulatory markers that are consistent with uptake of whole proteins by endocytosis, followed by intracellular degradation and catabolism of substituent amino acids. Uptake and degradation of recombinant protein products may be common in S. cerevisiae protein secretion systems, and the current data should help formulate strategies to mitigate product loss.
2016-01-01 | GSE49025 | GEO