ZNF274

Information ZNF274

Description

This gene encodes a zinc finger protein containing five C2H2-type zinc finger domains, one or two Kruppel-associated box A (KRAB A) domains, and a leucine-rich domain. The encoded protein has been suggested to be a transcriptional repressor. It localizes predominantly to the nucleolus. Alternatively spliced transcript variants encoding different isoforms exist. These variants utilize alternative polyadenylation signals. [provided by RefSeq, Jul 2008]

Full Name

zinc finger protein 274

Source NCBI

ReMap Statistics

Datasets
8
Biotypes
8
Peaks
7,890
Non-redundant peaks
5,568

TF Classification

Super Class
Zinc-coordinating DNA-binding domains
Class
C2H2 zinc finger factors
Familly
More than 3 adjacent zinc finger factors
Sub Familly
unclassified

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000171606
UniProt
Q96GC6
Genevisible
Q96GC6
RefSeq
NM_001278734
Aliases
HFB101; ZF2; ZKSCAN19; ZSCAN51
All peaks ZNF274
Download BED file
Non redundant peaks ZNF274
Download BED file
SEQUENCES ZNF274
Download FASTA file
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Datasets Table for ZNF274

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
ZNF274 GM08714 ENCODE Homo sapiens ENCSR000EUI 944
ZNF274 GM12878 ENCODE Homo sapiens ENCSR000EUK 273
ZNF274 HEK293 ENCODE Homo sapiens ENCSR178QVJ 1,508
ZNF274 K-562 ENCODE Homo sapiens ENCSR000EVX 3,221
ZNF274 NT2-D1 ENCODE Homo sapiens ENCSR000EWY 597
ZNF274 WA01 ENCODE Homo sapiens ENCSR000EUN 769
ZNF274 HeLa-S3 ENCODE Homo sapiens ENCSR000EVG 147
ZNF274 HEK293T GEO Homo sapiens GSE78099 431
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.