ZKSCAN1

Information ZKSCAN1

Description

This gene encodes a member of the Kruppel C2H2-type zinc-finger family of proteins. This encoded protein may function as a transcription factor that regulates the expression of GABA type-A receptors in the brain. Transcripts from this gene have been shown to form stable and abundant circular RNAs. Elevated expression of this gene has been observed in gastric cancer and the encoded protein may stimulate migration and invasion of human gastric cancer cells. [provided by RefSeq, Oct 2016]

Full Name

zinc finger with KRAB and SCAN domains 1

Source NCBI

ReMap Statistics

Datasets
4
Biotypes
4
Peaks
100,675
Non-redundant peaks
77,403

TF Classification

Super Class
Zinc-coordinating DNA-binding domains
Class
C2H2 zinc finger factors
Familly
More than 3 adjacent zinc finger factors
Sub Familly
ZNF24-like factors

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000106261
UniProt
P17029
Genevisible
P17029
RefSeq
NM_001287054
Aliases
KOX18; PHZ-37; ZNF139; ZNF36; ZSCAN33
All peaks ZKSCAN1
Download BED file
Non redundant peaks ZKSCAN1
Download BED file
SEQUENCES ZKSCAN1
Download FASTA file
DOWNLOAD All ReMap
Got to catalogue

Datasets Table for ZKSCAN1

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
ZKSCAN1 Hep-G2 ENCODE Homo sapiens ENCSR157CAU 29,522
ZKSCAN1 K-562 ENCODE Homo sapiens ENCSR882ERE 51,818
ZKSCAN1 MCF-7 ENCODE Homo sapiens ENCSR449UFF 10,731
ZKSCAN1 HeLa-S3 ENCODE Homo sapiens ENCSR000ECJ 8,604
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.