U.S. flag

An official website of the United States government

Format
Sort by

Send to:

Choose Destination

Search results

Items: 3

1.

Enzymatic or in vivo installation of propargyl groups in combination with click chemistry enables enrichment and detection of methyltransferase target sites in RNA

(Submitter supplied) m6A is the most abundant internal modification in eukaryotic mRNA. It is introduced by METTL3-METTL14 and tunes mRNA metabolism, impacting cell differentiation and development. Precise transcriptome-wide assignment of m6A sites is of utmost importance. However, m6A does not interfere with Watson-Crick base pairing making polymerase-based detection challenging. We developed a chemical biology approach for the precise mapping of methyltransferase (MTase) target sites based on the introduction of a bioorthogonal propargyl group in vitro and in cells. more...
Organism:
Homo sapiens; synthetic construct
Type:
Other
Platforms:
GPL24519 GPL15456
19 Samples
Download data: BED
Series
Accession:
GSE109298
ID:
200109298

PubMed Similar studies SRA Run Selector

2.

Illumina HiScanSQ (synthetic construct)

Organism:
synthetic construct
1 Series
17 Samples
Download data
Platform
Accession:
GPL24519
ID:
100024519

3.

1d_50T_methylated

Organism:
synthetic construct
Source name:
methylated oligo 1mM dNTPs, 50°C
Platform:
GPL24519
Series:
GSE109298
Download data: BED
Sample
Accession:
GSM2936693
ID:
302936693

SRA Run Selector

Format
Sort by

Send to:

Choose Destination

Supplemental Content

Filters: Manage Filters

db=gds|term=GSM2936693[Accession]|query=1|qty=3|blobid=MCID_6749520686d4ad4f7f5cdb9c|ismultiple=true|min_list=5|max_list=20|def_tree=20|def_list=|def_view=|url=/Taxonomy/backend/subset.cgi?|trace_url=/stat?
   Taxonomic Groups  [List]
Tree placeholder
    Top Organisms  [Tree]

Find related data

Search details

See more...

Important Links

Recent activity

Clear Turn Off Turn On

Your browsing activity is empty.

Activity recording is turned off.

Turn recording back on

See more...
You are here: NCBI > Genes & Expression > Gene Expression Omnibus (GEO) Datasets
Support Center