A cap 0-dependent mRNA capture method to analyze the yeast transcriptome
Ontology highlight
ABSTRACT:
ORGANISM(S): Saccharomyces cerevisiae
PROVIDER: GSE210198 | GEO | 2022/08/04
REPOSITORIES: GEO
Similar Datasets
Project description:The human genome encodes tens of thousands circular RNAs (circRNAs) whose levels correlate with many disease states. While studies have focused on the non-coding functions of circRNAs, emerging evidence suggests that a handful of circRNAs encode proteins. Translation canonically starts by recognition of mRNA 5’cap and scanning to the start codon; how circRNA translation initiates remains unclear. Here, we developed a high-throughput screen to systematically identify and quantify RNA sequences that can direct circRNA translation. We identify and validate over 17,000 circRNA internal ribosome entry sites (IRES) and reveal that 18S rRNA complementarity and a structured RNA element on the IRES are important for facilitating circRNA cap-independent translation. With genomic and peptidomic analyses of the IRES, we identified nearly 1,000 putative endogenous protein-coding circRNAs and hundreds of translational units encoded by these circRNAs. We further characterized circFGFR1p, a protein encoded by circFGFR1, functions as a negative regulator of FGFR1 to suppress cell growth under stress conditions. The circRNA proteome may be important links among circRNA, biological control, and disease.
2021-08-26 | PXD025203 | Pride
Project description:The human genome encodes tens of thousands circular RNAs (circRNAs) whose levels correlate with many disease states. While studies have focused on the non-coding functions of circRNAs, emerging evidence suggests that a handful of circRNAs encode proteins. Translation canonically starts by recognition of mRNA 5’cap and scanning to the start codon; how circRNA translation initiates remains unclear. Here, we developed a high-throughput screen to systematically identify and quantify RNA sequences that can direct circRNA translation. We identify and validate over 17,000 circRNA internal ribosome entry sites (IRES) and reveal that 18S rRNA complementarity and a structured RNA element on the IRES are important for facilitating circRNA cap-independent translation. With genomic and peptidomic analyses of the IRES, we identified nearly 1,000 putative endogenous protein-coding circRNAs and hundreds of translational units encoded by these circRNAs. We further characterized circFGFR1p, a protein encoded by circFGFR1, functions as a negative regulator of FGFR1 to suppress cell growth under stress conditions. The circRNA proteome may be important links among circRNA, biological control, and disease.
2021-08-23 | PXD025235 | Pride
Project description:The human genome encodes tens of thousands circular RNAs (circRNAs) whose levels correlate with many disease states. While studies have focused on the non-coding functions of circRNAs, emerging evidence suggests that a handful of circRNAs encode proteins. Translation canonically starts by recognition of mRNA 5’cap and scanning to the start codon; how circRNA translation initiates remains unclear. Here, we developed a high-throughput screen to systematically identify and quantify RNA sequences that can direct circRNA translation. We identify and validate over 17,000 circRNA internal ribosome entry sites (IRES) and reveal that 18S rRNA complementarity and a structured RNA element on the IRES are important for facilitating circRNA cap-independent translation. With genomic and peptidomic analyses of the IRES, we identified nearly 1,000 putative endogenous protein-coding circRNAs and hundreds of translational units encoded by these circRNAs. We further characterized circFGFR1p, a protein encoded by circFGFR1, functions as a negative regulator of FGFR1 to suppress cell growth under stress conditions. The circRNA proteome may be important links among circRNA, biological control, and disease.
2021-08-25 | PXD025233 | Pride
Project description:The human genome encodes tens of thousands circular RNAs (circRNAs) whose levels correlate with many disease states. While studies have focused on the non-coding functions of circRNAs, emerging evidence suggests that a handful of circRNAs encode proteins. Translation canonically starts by recognition of mRNA 5’cap and scanning to the start codon; how circRNA translation initiates remains unclear. Here, we developed a high-throughput screen to systematically identify and quantify RNA sequences that can direct circRNA translation. We identify and validate over 17,000 circRNA internal ribosome entry sites (IRES) and reveal that 18S rRNA complementarity and a structured RNA element on the IRES are important for facilitating circRNA cap-independent translation. With genomic and peptidomic analyses of the IRES, we identified nearly 1,000 putative endogenous protein-coding circRNAs and hundreds of translational units encoded by these circRNAs. We further characterized circFGFR1p, a protein encoded by circFGFR1, functions as a negative regulator of FGFR1 to suppress cell growth under stress conditions. The circRNA proteome may be important links among circRNA, biological control, and disease.
2021-08-23 | PXD024993 | Pride
Project description:Cellular RNAs are covalently modified and these modifications can impact on all biological processes and hence are implicated in different types of diseases. Amongst RNA modifications, N6-methyladenosine (m6A) is one of the most widespread and has been found on messenger (mRNA), ribosomal (rRNA), non-coding and spliceosomal RNAs. We undertook a systematic screen to uncover new RNA-methyltransferases. We demonstrate that the methyltransferase-like 5 protein (METTL5) is an 18S rRNA specific methyltransferase and interacts specifically with Trmt122.
2020-09-09 | PXD015582 | Pride
Project description:The project aims to identify the RNA binding proteins that can specifically bind to mRNA internal modification N7-methylguanosine (m7G). N7-methylguanosine (m7G) methylation has been long identified as the essential cap modification for eukaryotic mRNA, but later has been identified internally in various types of RNAs, including tRNA, rRNA, miRNA, and mRNA. While the METTL1/WDR4 complex, responsible for tRNA m7G installation, has been suggested to be responsible for internal mRNA modification as well, little is known about the proteins that can identify and interact with m7G. To better understand its interaction with RNA binding proteins and further define its regulatory function in mRNA metabolism, we performed the experiment to pulldown proteins with different binding affinity on unmodified G and m7G and subject the enriched fractions to mass spectrometry.
2024-09-03 | PXD049390 | Pride
Project description:Epigenetic methyl-CpG silencing of the ribosomal RNA (rRNA) genes is thought to down-regulate rRNA synthesis in mammals. In contrast, we now show that CpG methylation in fact positively influences rRNA synthesis and processing. Human HCT116 cells, inactivated for DNMT1 and DNMT3b or treated with aza-dC, lack CpG methylation and reactivate a large fraction of normally silent rRNA genes. Unexpectedly, these cells display reduced rRNA synthesis and processing, and accumulate unprocessed 45S rRNA. Reactivation of the rRNA genes is associated with their cryptic transcription by RNA polymerase II. Ectopic expression of cryptic rRNA gene transcripts recapitulates the defects associated with loss of CpG methylation. The data demonstrate that rRNA gene silencing prevents cryptic RNA polymerase II transcription of these genes. Lack of silencing leads to the partial disruption of rRNA synthesis and rRNA processing, providing an unexpected explanation for the cytotoxic effects of loss of CpG methylation. Agilent custom microarray analyses of transcripts from sense and antisense strands of the human rRNA genes present in total nuclear RNA from HCT116-DNMT1-/-;DNMT3b-/- (DKO) and HCT116 (PS) cells. The DKO/PS RNA ratio was normalized within the 5’ region of the 45S ribosomal RNA, since this sense coding region was found by quantitative Northern and S1-mapping analyses to equally present in the RNA pools from both cells (as compared to total RNA levels and 18S and 28S levels). The distribution for sense RNAs from the coding region is strongly influenced by the predominant RPI 45S rRNA transcript and hence peaks at 0, the DKO and PS 45S rRNA signals having been normalized.
2009-07-11 | GSE17042 | GEO
Project description:Intervention type:DRUG. Intervention1:Huaier, Dose form:GRANULES, Route of administration:ORAL, intended dose regimen:20 to 60/day by either bulk or split for 3 months to extended term if necessary. Control intervention1:None.
Primary outcome(s): For mRNA libraries, focus on mRNA studies. Data analysis includes sequencing data processing and basic sequencing data quality control, prediction of new transcripts, differential expression analysis of genes. Gene Ontology (GO) and the KEGG pathway database are used for annotation and enrichment analysis of up-regulated genes and down-regulated genes.
For small RNA libraries, data analysis includes sequencing data process and sequencing data process QC, small RNA distribution across the genome, rRNA, tRNA, alignment with snRNA and snoRNA, construction of known miRNA expression pattern, prediction New miRNA and Study of their secondary structure Based on the expression pattern of miRNA, we perform not only GO / KEGG annotation and enrichment, but also different expression analysis.. Timepoint:RNA sequencing of 240 blood samples of 80 cases and its analysis, scheduled from June 30, 2022..
| 2612481 | ecrin-mdr-crc
Project description:The initial translational response of the yeast Saccharomyces cerevisiae in response to acetic acid-induced apoptosis was investigated by microarray profiling of mRNAs contained in polysomal fractions obtained upon 0 (used as control), 15 and 30 minutes of acetic acid treatment. The mRNA fraction thus investigated corresponds to the mRNAs capable of overcoming the inhibition of cap-mediated translation initiation.
2013-02-24 | E-MEXP-3570 | biostudies-arrayexpress
Project description:Epigenetic methyl-CpG silencing of the ribosomal RNA (rRNA) genes is thought to down-regulate rRNA synthesis in mammals. In contrast, we now show that CpG methylation in fact positively influences rRNA synthesis and processing. Human HCT116 cells, inactivated for DNMT1 and DNMT3b or treated with aza-dC, lack CpG methylation and reactivate a large fraction of normally silent rRNA genes. Unexpectedly, these cells display reduced rRNA synthesis and processing, and accumulate unprocessed 45S rRNA. Reactivation of the rRNA genes is associated with their cryptic transcription by RNA polymerase II. Ectopic expression of cryptic rRNA gene transcripts recapitulates the defects associated with loss of CpG methylation. The data demonstrate that rRNA gene silencing prevents cryptic RNA polymerase II transcription of these genes. Lack of silencing leads to the partial disruption of rRNA synthesis and rRNA processing, providing an unexpected explanation for the cytotoxic effects of loss of CpG methylation. Agilent custom microarray analyses of transcripts from sense and antisense strands of the human rRNA genes present in total nuclear RNA from HCT116-DNMT1-/-;DNMT3b-/- (DKO) and HCT116 (PS) cells. The DKO/PS RNA ratio was normalized within the 5â region of the 45S ribosomal RNA, since this sense coding region was found by quantitative Northern and S1-mapping analyses to equally present in the RNA pools from both cells (as compared to total RNA levels and 18S and 28S levels). The distribution for sense RNAs from the coding region is strongly influenced by the predominant RPI 45S rRNA transcript and hence peaks at 0, the DKO and PS 45S rRNA signals having been normalized. 60-mer probes were designed to tile Human rDNA (GenBank accession U13369) on both strands using ArrayOligoSelector (Wardle et al., 2006). A total of 1,146 different non-overlapping probes (573 for each DNA strand) were designed to cover the 43 kb of human rDNA and each printed in triplicate on the array. The experiment was performed using a dye-swap duplicate analysis. The microarrays were scanned on a G2565CA DNA microarray scanner (Agilent Technologies) and the quantification performed using the Feature Extraction software (Agilent technologies). The data were analyzed using the LIMMA software package in R (Smyth and Speed, 2003).
2010-05-16 | E-GEOD-17042 | biostudies-arrayexpress