SETDB1

Information SETDB1

Description

This gene encodes a histone methyltransferase which regulates histone methylation, gene silencing, and transcriptional repression. This gene has been identified as a target for treatment in Huntington Disease, given that gene silencing and transcription dysfunction likely play a role in the disease pathogenesis. Alternatively spliced transcript variants of this gene have been described.[provided by RefSeq, Jun 2011]

Full Name

SET domain bifurcated histone lysine methyltransferase 1

Source NCBI

ReMap Statistics

Datasets
7
Biotypes
5
Peaks
320,898
Non-redundant peaks
251,997

TF Classification

Super Class
Unknown
Class
Unknown
Familly
Unknown
Sub Familly
Unknown

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000143379
UniProt
Q15047
Genevisible
Q15047
RefSeq
NM_001145415
Aliases
ESET; H3-K9-HMTase4; KG1T; KIAA0067; KMT1E; TDRD21
All peaks SETDB1
Download BED file
Non redundant peaks SETDB1
Download BED file
SEQUENCES SETDB1
Download FASTA file
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Datasets Table for SETDB1

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
SETDB1 HEK293 ENCODE Homo sapiens ENCSR348AGV 58,867
SETDB1 U2OS ENCODE Homo sapiens ENCSR000EYD 59,807
SETDB1 K-562 ENCODE Homo sapiens ENCSR000AUT 500
SETDB1 K-562 ENCODE Homo sapiens ENCSR000EWD 6,361
SETDB1 K-562 ENCODE Homo sapiens ENCSR000EWI 19,731
SETDB1 WN8532 GEO Homo sapiens GSE36579 5,283
SETDB1 HeLa MORC2-KO GEO Homo sapiens GSE95456 170,349
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.