Genome-wide identification of snoRNA-guided 2’-O-methylation sites [CLIP-seq]
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE77027 | GEO | 2016/05/01
SECONDARY ACCESSION(S): PRJNA309297
REPOSITORIES: GEO
Similar Datasets
Project description:We combine two experimental high-throughput sequencing methods to identify new 2'-O-methylation sites in human and assign snoRNA guides to sites with previously unknown guides.
2016-05-01 | GSE77024 | GEO
Project description:Genome-wide identification of snoRNA-guided 2?-O-methylation sites with CLIP and Ribometh-seq
| PRJNA309294 | ENA
Project description:Background: In recent years, a variety of small RNAs derived from other RNAs with well-known functions such as tRNAs and snoRNAs, have been identified. The functional relevance of these RNAs is largely unknown. To gain insight into the complexity of snoRNA processing and the functional relevance of snoRNA-derived small RNAs, we sequenced long and short RNAs, small RNAs that co-precipitate with the Argonaute 2 protein and RNA fragments obtained in photoreactive nucleotide-enhanced crosslinking and immunoprecipitation (PAR-CLIP) of core snoRNA-associated proteins. Results: Analysis of these data sets revealed that many loci in the human genome reproducibly give rise to C/D box-like snoRNAs, whose expression and evolutionary conservation are typically less pronounced relative to the snoRNAs that are currently catalogued. We further found that virtually all C/D box snoRNAs are specifically processed inside the regions of terminal complementarity, retaining in the mature form only 4-5 nucleotides upstream of the C box and 2-5 nucleotides downstream of the D box. Sequencing of the total and Argonaute 2-associated populations of small RNAs revealed that despite their cellular abundance, C/D box-derived small RNAs are not efficiently incorporated into the Ago2 protein. Conclusions: We conclude that the human genome encodes a large number of snoRNAs that are processed along the canonical pathway and expressed at relatively low levels. Generation of snoRNA-derived processing products with alternative, particularly miRNA-like, functions appears to be uncommon. PAR-CLIP profiling for snoRNP core proteins NOP56, NOP58, Fibrillarin, and Dyskerin in HEK293 cells. Small RNA profiling using RNA-seq in HEK293 and HeLa cells, small RNA profiling using IP-seq of Ago2 associated small RNAs.
2013-05-08 | E-GEOD-43666 | biostudies-arrayexpress
Project description:Background: In recent years, a variety of small RNAs derived from other RNAs with well-known functions such as tRNAs and snoRNAs, have been identified. The functional relevance of these RNAs is largely unknown. To gain insight into the complexity of snoRNA processing and the functional relevance of snoRNA-derived small RNAs, we sequenced long and short RNAs, small RNAs that co-precipitate with the Argonaute 2 protein and RNA fragments obtained in photoreactive nucleotide-enhanced crosslinking and immunoprecipitation (PAR-CLIP) of core snoRNA-associated proteins. Results: Analysis of these data sets revealed that many loci in the human genome reproducibly give rise to C/D box-like snoRNAs, whose expression and evolutionary conservation are typically less pronounced relative to the snoRNAs that are currently catalogued. We further found that virtually all C/D box snoRNAs are specifically processed inside the regions of terminal complementarity, retaining in the mature form only 4-5 nucleotides upstream of the C box and 2-5 nucleotides downstream of the D box. Sequencing of the total and Argonaute 2-associated populations of small RNAs revealed that despite their cellular abundance, C/D box-derived small RNAs are not efficiently incorporated into the Ago2 protein. Conclusions: We conclude that the human genome encodes a large number of snoRNAs that are processed along the canonical pathway and expressed at relatively low levels. Generation of snoRNA-derived processing products with alternative, particularly miRNA-like, functions appears to be uncommon.
2013-05-08 | GSE43666 | GEO
Project description:This SuperSeries is composed of the SubSeries listed below.
2016-05-01 | GSE77028 | GEO
Project description:RNA can be extensively modified post-transcriptionally with >170 covalent modifications, expanding its functional and structural repertoire. Pseudouridine (Ψ), the most abundant modified nucleoside in rRNA and tRNA, has recently been found within mRNA molecules. Due to technical challenges, it remained unclear whether pseudouridylation of mRNA can be snoRNA-guided, which has important implications for understanding the physiological target spectrum of snoRNAs and for their potential therapeutic exploitation in genetic diseases. Here, using a massively parallel reporter based strategy we simultaneously interrogate Ψ levels across hundreds of synthetic constructs with predesigned complementarity against endogenous snoRNAs. Our results demonstrate that snoRNA-mediated pseudouridylation can occur on mRNA targets. However, this is typically achieved at low efficiencies, and is constrained by the localization of mRNA, by the expression levels of snoRNAs and by the length of the snoRNA:mRNA complementarity stretches. We exploited these insights for the design of snoRNAs targeting pseudouridylation at premature termination codons, which was previously suggested to suppress translational termination. However, in contrast to previous studies, in this and follow-up experiments we observe no evidence for readthrough of pseudouridylated stop codons. Our study enhances our understanding of the scope, ‘design rules’ and constraints of snoRNA-mediated pseudouridylation, and challenges a key functional outcome associated with this modification.
2024-06-02 | GSE159749 | GEO
Project description:Box C/D small nucleolar RNAs (snoRNAs) are a conserved class of RNA known for their role in guiding ribosomal RNA 2’-O-ribose methylation through base pairing with targeted sequences. Recently, C/D snoRNAs were also implicated in regulating the expression of non-ribosomal genes through different modes of binding. Large scale RNA-RNA interaction datasets detect many snoRNAs binding messenger RNA. However, these studies provide a narrow portrait of snoRNA targets forming under specific experimental conditions. To enable a more comprehensive study of C/D snoRNA interactions, we created snoGloBe, a human C/D snoRNA machine learning interaction predictor based on a gradient boosting classifier. SnoGloBe considers the target type, and position and sequence of the interactions, enabling it to outperform existing predictors. Interestingly, for specific snoRNAs, snoGloBe identifies strong enrichment of interactions near gene expression regulatory elements including splice sites. Abundance and splicing of predicted targets were altered upon the knockdown of their associated snoRNA. Strikingly, the predicted snoRNA interactions often overlap with the binding sites of functionally related RNA binding proteins, reinforcing their role in gene expression regulation. The interactions of snoRNAs are not randomly distributed but often accumulate in functionally related transcripts sharing common regulatory elements suggesting coordinated regulatory function. The wide scope of snoGloBe makes it an excellent tool for discovering viral RNA targets, which is evident from its capacity to identify snoRNAs targeting SARS-CoV-2 RNA, known to be heavily methylated. Overall, snoGloBe is capable of identifying experimentally validated binding sites and predicting novel sites with shared regulatory function.
2022-05-18 | GSE184173 | 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:The majority of Saccharomyces cerevisiae snoRNA promoters contain an aRCCCTaa sequence motif located at the upstream border of a TATA-containing nucleosome-free region. Genome-wide ChIP-seq analysis showed that these motifs are bound in vivo by Tbf1, a telomere-binding protein known to recognize mammalian-like T2AG3 repeats at sub-telomeric regions. Tbf1 has over 100 additional promoter targets, including the TBF1 gene itself. Tbf1 is required for full snoRNA expression, yet it does not influence nucleosome positioning at snoRNA promoters. Analysis of Tbf1-binding sites in Saccharomyces cerevisiae by ChIP-seq of a Myc-tagged strain and a control untagged strain. 1 sample per strain, 1 lane per sample.
2010-05-28 | E-GEOD-20870 | biostudies-arrayexpress
Project description:Comparison of mRNA transcriptome after differential expression of U17 snoRNA. We hypothesiaed that if U17 snoRNA regulates cholesterol homeostasis by modulating the expression of target mRNAs, genes that are differentially expressed by the loss-of-function or gain-of-function of U17 snoRNA would be candidate U17 targets. Results revealed negative regulation of target genes by U17 snoRNA, in which increasing dosage of U17 snoRNA from U17 knockdown to WT to U17 overexpression lead to decreases in target levels. Total RNA were isolated by TRIzol reagent (Invitrogen) from WT, U17 snoRNA KD (ShSnhg3 stable clone), and U17 snoRNA OE (pMDβglobinU17b stable clone) cells grown in LPDS media for 24 hours.
2015-04-04 | E-GEOD-67569 | biostudies-arrayexpress