Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution

ABSTRACT: Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution

PROVIDER: PRJNA681588 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [polyA_RNA]

Project description:Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [polyA_RNA]

| PRJNA681592 | ENA

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [Ribo-minus_RNA]

Project description:Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [Ribo-minus_RNA]

| PRJNA681559 | ENA

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [shRNA RNA-seq]

Project description:Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [shRNA RNA-seq]

| PRJNA800444 | ENA

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [polyA_RNA]

Project description:We introduce m6A Selective Allyl Chemical labeling and Sequencing (m6A-SAC-Seq), a novel method for transcriptome-wide quantitative mapping of m6A at single-nucleotide resolution. The m6A-SAC-Seq employs a dimethyltransferase to selectively label m6A followed by introducing mutations with reverse transcriptase during sequencing. We identified the widespread distributions of m6A and quantitated their fractions in the transcriptome of HeLa, HEK293, HepG2, and human CD34+ hematopoietic stem/progenitor cells (HSPCs).

2022-01-20 | GSE162356 | GEO

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [Ribo-minus_RNA]

2022-01-20 | GSE162340 | GEO

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution [shRNA RNA-seq]

2022-01-27 | GSE194410 | GEO

Single-nucleotide resolution mapping of m6A and m6Am throughout the transcriptome

Project description:N6-methyladenosine (m6A) is the most abundant modified base in eukaryotic mRNA and has been linked to diverse effects on mRNA fate and function. Current m6A mapping approaches rely on immunoprecipitation of m6A-containing RNA fragments to identify regions of transcripts that contain m6A. This approach localizes m6A residues to 100-200 nt-long regions of transcripts. The precise position of m6A in mRNAs cannot be identified on a transcriptome-wide level because there are no chemical methods to distinguish between m6A and adenosine. Here we show that anti-m6A antibodies can induce specific mutational signatures at m6A residues after ultraviolet light-induced antibody-RNA crosslinking and reverse transcription. Similarly, we find these antibodies induce mutational signatures at N6, 2’-O-dimethyladenosine (m6Am), a nucleotide found at the first encoded position of certain mRNAs. Using these mutational signatures, we map m6A and m6Am at single-nucleotide resolution in human and mouse mRNA and identify snoRNAs as a novel class of m6A-containing ncRNAs. UV-crosslinking and immunoprecipitation with m6A-specific antibodies was used to map m6A and m6Am in cellular RNA with single nucleotide resolution.

2015-06-29 | E-GEOD-63753 | biostudies-arrayexpress

Single-nucleotide resolution profiling of N6-methyladenosine in SETD2 knockdown HepG2 cells [m6A miCLIP-seq]

Project description:Single-nucleotide resolution profiling of N6-methyladenosine in SETD2 knockdown HepG2 cells [m6A miCLIP-seq]

| PRJNA499111 | ENA

Quantitative and whole-transcriptome N6-Methyladenosine profiling at single-nucleotide resolution

Project description:This SuperSeries is composed of the SubSeries listed below.

2022-01-19 | GSE162357 | GEO

N6-Methyladenosine methylation profile in rat H9C2 cardiomyocytes under the hypoxic stress

Project description:Hypoxia as a crucial pathogenesis factor usually results in huge harmful effects on cardiac injury and dysfunction. In our previous study (PMID: 33294289), We observe a series of differential expressed genes between transcription and translation, which may be attributed to the hypoxia-specific binding affinity of Nuclear cap-binding subunit 3 (NCBP3) at 5’ un-translation region of target genes. But the underlying molecular mechanism of NCBP3 for gene translation modulation remains unclear. Here, we conducted RIP-seq of N6-Methyladenosine methylation in H9C2 cells with the conditions of normoxic, hypoxic and with additional NCBP3 knockdown.

2021-06-30 | E-MTAB-10682 | 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