ARHGAP35

Information ARHGAP35

Description

The human glucocorticoid receptor DNA binding factor, which associates with the promoter region of the glucocorticoid receptor gene (hGR gene), is a repressor of glucocorticoid receptor transcription. The amino acid sequence deduced from the cDNA sequences show the presence of three sequence motifs characteristic of a zinc finger and one motif suggestive of a leucine zipper in which 1 cysteine is found instead of all leucines. The GRLF1 enhances the homologous down-regulation of wild-type hGR gene expression. Biochemical analysis suggests that GRLF1 interaction is sequence specific and that transcriptional efficacy of GRLF1 is regulated through its interaction with specific sequence motif. The level of expression is regulated by glucocorticoids. [provided by RefSeq, Jul 2008]

Full Name

Rho GTPase activating protein 35

Source NCBI

ReMap Statistics

Datasets
1
Biotypes
1
Peaks
5,484
Non-redundant peaks
5,484

TF Classification

Super Class
NA
Class
NA
Familly
NA
Sub Familly
NA

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000160007
UniProt
Q9NRY4
Genevisible
Q9NRY4
RefSeq
NM_004491
Aliases
GRF-1; GRLF1; KIAA1722; P190-A; P190A; p190ARhoGAP; p190RhoGAP
All peaks ARHGAP35
Download BED file
Non redundant peaks ARHGAP35
Download BED file
SEQUENCES ARHGAP35
Download FASTA file
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Datasets Table for ARHGAP35

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
ARHGAP35 K-562 ENCODE Homo sapiens ENCSR571BUF 5,484
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.