Browse
Submit Data
Databases
API
Help

Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

14 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

NSun2-mediated cytosine-5 methylation in Vault non-coding RNA determines its processing into small RNAs

ABSTRACT: This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

ORGANISM(S): Homo sapiens

SUBMITTER: Shobbir Hussain

PROVIDER: E-GEOD-44386 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Publications

NSun2-mediated cytosine-5 methylation of vault noncoding RNA determines its processing into regulatory small RNAs.

Hussain Shobbir S Sajini Abdulrahim A AA Blanco Sandra S Dietmann Sabine S Lombard Patrick P Sugimoto Yoichiro Y Paramor Maike M Gleeson Joseph G JG Odom Duncan T DT Ule Jernej J Frye Michaela M

Cell reports 20130718 2

Autosomal-recessive loss of the NSUN2 gene has been identified as a causative link to intellectual disability disorders in humans. NSun2 is an RNA methyltransferase modifying cytosine-5 in transfer RNAs (tRNAs), yet the identification of cytosine methylation in other RNA species has been hampered by the lack of sensitive and reliable molecular techniques. Here, we describe miCLIP as an additional approach for identifying RNA methylation sites in transcriptomes. miCLIP is a customized version of ...[more]

PMID: 23871666

Similar Datasets

NSun2-mediated cytosine-5 methylation in Vault non-coding RNA determines its processing into small RNAs [iCLIP]

Project description:Autosomal-recessive loss of the NSUN2 gene has been recently identified as a causative link to intellectual disability disorders in humans. NSun2 is an RNA methyltransferase modifying cytosine-5 in transfer RNAs (tRNA). Whether NSun2 methylates additional RNA species is currently debated. Here, we adapted the individual-nucleotide resolution UV cross-linking and immunoprecipitation method (iCLIP) to identify NSun2-mediated methylation in RNA transcriptome. We confirm site-specific methylation in tRNA and identify messenger and non-coding RNAs as potential methylation targets for NSun2. Using RNA bisulfite sequencing we establish Vault non-coding RNAs as novel substrates for NSun2 and identified six cytosine-5 methylated sites. Furthermore, we show that loss of cytosine-5 methylation in Vault RNAs causes aberrant processing into argonaute-associating small RNA fragments (svRNA). Thus, impaired Vault non-coding RNA processing may be an important contributor to the etiology of NSUN2-deficieny human disorders. Identification of Nsun2 targets by miCLIP in Embryonic kidney (HEK293) cells

2013-07-23 | E-GEOD-44385 | biostudies-arrayexpress

NSun2-mediated cytosine-5 methylation in Vault non-coding RNA determines its processing into small RNAs [RNA-seq]

Project description:Autosomal-recessive loss of the NSUN2 gene has been recently identified as a causative link to intellectual disability disorders in humans. NSun2 is an RNA methyltransferase modifying cytosine-5 in transfer RNAs (tRNA). Whether NSun2 methylates additional RNA species is currently debated. Here, we adapted the individual-nucleotide resolution UV cross-linking and immunoprecipitation method (iCLIP) to identify NSun2-mediated methylation in RNA transcriptome. We confirm site-specific methylation in tRNA and identify messenger and non-coding RNAs as potential methylation targets for NSun2. Using RNA bisulfite sequencing we establish Vault non-coding RNAs as novel substrates for NSun2 and identified six cytosine-5 methylated sites. Furthermore, we show that loss of cytosine-5 methylation in Vault RNAs causes aberrant processing into argonaute-associating small RNA fragments (svRNA). Thus, impaired Vault non-coding RNA processing may be an important contributor to the etiology of NSUN2-deficieny human disorders. mRNA-seq in Embryonic kidney (HEK293) cells transfected with siRNA against Nsun2 vs control

2013-07-23 | E-GEOD-44384 | biostudies-arrayexpress

iCLIP analysis of EZH2-interacting RNAs

Project description:RNAs directly interacting with EZH2 were isolated from human colorectal HCT116 cells using an in vivo crosslinking and immunoprecipitation strategy (iCLIP, König J et al, Nat Struct Mol Biol 2010) coupled to an ultrasequencing approach. RIP sequencing for 1 Human sample

2012-04-23 | E-GEOD-36070 | biostudies-arrayexpress

HL-1 mRNA interactome - The Cardiomyocyte RNA-Binding Proteome: Links to Intermediary Metabolism and Heart Disease

Project description:RNAsfunction as compositionally diverse ribonucleoprotein (RNP) comlplexes, formed through interactions with RNA-binding proteins (RBPs). We explored the murine cardiomyocyte RBP repertoire.

2016-08-17 | PXD002541 | Pride

Genome-wide analysis of pre-mRNA 3' end processing reveals a decisive role of human cleavage factor I in the regulation of 3' UTR length

Project description:This SuperSeries is composed of the following subset Series: GSE37037: Genome-wide analysis of pre-mRNA 3' end processing reveals a decisive role of human cleavage factor I in the regulation of 3' UTR length: A-seq GSE37398: Genome-wide analysis of pre-mRNA 3' end processing reveals a decisive role of human cleavage factor I in the regulation of 3' UTR length: CLIP Refer to individual Series

2012-05-14 | E-GEOD-37401 | biostudies-arrayexpress

Individual-nucleotide resolution CLIP and high-throughput sequencing to map hnRNP L-RNA interactions in HeLa cells

Project description:Individual-nucleotide resolution UV-crosslinking and immunoprecipitation (iCLIP) combined with high-throughput sequencing was used to generate a transcriptome-wide binding map of hnRNP L. Supplementary file GSE37560_hnRNPL_crosslink_site.bed includes filtered crosslink sites of hnRNPL: combining data from all 3 experiments. 3 biological replicates of hnRNP L-specific and control (Flag) co-immunoprecipitated RNA after UV-crosslinking in HeLa cells

2014-02-13 | E-GEOD-37560 | biostudies-arrayexpress

Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting [CLIP-seq data]

Project description:microRNAs (miRNAs) are essential components of gene regulation, but identification of miRNA targets remains a major challenge. Most target prediction and discovery relies on perfect complementarity of the miRNA seed to the 3’ untranslated region (UTR). However, it is unclear to what extent miRNAs target sites without seed matches. Here, we performed a transcriptome-wide identification of the endogenous targets of a single miRNA—miR-155—in a genetically controlled manner. We found that approximately forty percent of miR-155-dependent Argonaute binding occurs at sites without perfect seed matches. The majority of these non-canonical sites feature extensive complementarity to the miRNA seed with one mismatch. These non-canonical sites confer regulation of gene expression albeit less potently than canonical sites. Thus, non-canonical miRNA binding sites are widespread, often contain seed-like motifs, and can regulate gene expression, generating a continuum of targeting and regulation. Argonaute (AGO) HITS-CLIP Libraries generated from wild type and miR-155 knockout activated T cells. AGO HITS-CLIP libraries were generated from activated wild type and miR-155 knockout T cells with two different 3' linkers. Libraries were generated and sequenced with an 11nt index read that contained both a 5nt multiplexing index and a 6nt degenerate barcode. Files have been demultiplexed and the 6nt degenerate barcode has been appended as the first 6 nucleotides of the read.

2012-11-09 | E-GEOD-41285 | biostudies-arrayexpress

Genome-wide analysis of pre-mRNA 3' end processing reveals a decisive role of human cleavage factor I in the regulation of 3' UTR length: CLIP

Project description:Through alternative polyadenylation, human mRNAs acquire longer or shorter 3' untranslated regions, the latter typically associated with higher transcript stability and increased protein production. To understand the dynamics of polyadenylation site usage, we mapped transcriptome‐wide both binding sites of 3' end processing factors CPSF‐160, CPSF‐100, CPSF‐73, CPSF‐30, Fip1, CstF‐64, CstF-64tau, CF Im25, CF Im59, and CF Im68 and 3' end processing sites in HEK293 cells. We found that although binding sites of these factors generally cluster around the poly(A) sites most frequently used in cleavage, CstF‐64/CstF-64tau and CF Im proteins have much higher positional specificity compared to CPSF components. Knockdown of CF Im68 induced a systematic use of proximal polyadenylation sites, indicating that changes in relative abundance of a single 3' end processing factor can modulate the length of 3' untranslated regions transcriptome-wide, and suggesting a mechanism behind the previously observed increase in tumor cell invasiveness upon CF Im68 knockdown. We performed PAR-CLIP experiments for 3' end processing factors including CPSF-30, CPSF-73, CPSF-100, CPSF-160, Fip1, CF Im25, CF Im59, CF Im68, CstF-64, and CstF-64tau.

2012-05-15 | E-GEOD-37398 | biostudies-arrayexpress

CLIP-seq of Trypanosoma brucei cells in procyclic stages to investigate transcriptome wide mapping of MRB8170 and MRB4160

Project description:iCLIP-seq experiment to asses the binding of mitochondrially targeted MRB8170 and MRB4160 involved in RNA editing on a genomic scale. Furthermore, to investigate what subsets of maxicircles transcripts (pan-edited, minimally-edited and never-edited) are bound to both the above proteins in vivo.

2016-08-14 | E-MTAB-4934 | biostudies-arrayexpress

Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting

Project description:This SuperSeries is composed of the following subset Series: GSE41241: Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting [mRNA expression data] GSE41285: Transcriptome-wide miR-155 binding map reveals widespread non-canonical microRNA targeting [CLIP-seq data] Refer to individual Series

2012-11-09 | E-GEOD-41288 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data