NR2F2

Information NR2F2

Description

This gene encodes a member of the steroid thyroid hormone superfamily of nuclear receptors. The encoded protein is a ligand inducible transcription factor that is involved in the regulation of many different genes. Alternate splicing results in multiple transcript variants. [provided by RefSeq, Mar 2010]

Full Name

nuclear receptor subfamily 2 group F member 2

Source NCBI

ReMap Statistics

Datasets
8
Biotypes
7
Peaks
289,809
Non-redundant peaks
192,362

TF Classification

Super Class
Zinc-coordinating DNA-binding domains
Class
Nuclear receptors with C4 zinc fingers
Familly
RXR-related receptors (NR2)
Sub Familly
COUP-like receptors (NR2F)

Source TFClass

External IDs

JASPAR
MA1111
Ensembl
ENSG00000185551
UniProt
P24468
Genevisible
P24468
RefSeq
NM_001145155
Aliases
ARP-1; ARP1; CHTD4; COUPTF2; COUPTFB; COUPTFII; NF-E3; SVP40; TFCOUP2
All peaks NR2F2
Download BED file
Non redundant peaks NR2F2
Download BED file
SEQUENCES NR2F2
Download FASTA file
DOWNLOAD All ReMap
Got to catalogue

Datasets Table for NR2F2

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
NR2F2 liver ENCODE Homo sapiens ENCSR168SMX 63,570
NR2F2 liver ENCODE Homo sapiens ENCSR338MMB 43,459
NR2F2 Hep-G2 ENCODE Homo sapiens ENCSR000BVM 22,782
NR2F2 K-562 ENCODE Homo sapiens ENCSR000BRS 63,669
NR2F2 MCF-7 ENCODE Homo sapiens ENCSR000BUY 59,367
NR2F2 HeLa GEO Homo sapiens GSE46237 4,942
NR2F2 WI-38VA13 GEO Homo sapiens GSE46237 5,093
NR2F2 uterus STROMA_ENDOMETRIUM GEO Homo sapiens GSE52008 26,927
Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks

ReMap is a database of transcriptional regulators peaks derived from curated ChIP-seq, ChIP-exo, DAP-seq experiments in Human and Thaliana.

You are using the 2020 ReMap (3rd) release.
The ReMap catalogues (2020, 2018, 2015) are under CC BY-NC 4.0 international license, while ReMapEnrich, remap-pipeline under GNU GPLv3 licence.

Inserm TAGC
AMU AMU-MESO

This work was granted access to the HPC resources of Aix-Marseille Université financed by the project Equip@Meso (ANR-10-EQPX-29-01) of the program "Investissements d’Avenir" supervised by the Agence Nationale de la Recherche.