GLI2

Information GLI2

Description

This gene encodes a protein which belongs to the C2H2-type zinc finger protein subclass of the Gli family. Members of this subclass are characterized as transcription factors which bind DNA through zinc finger motifs. These motifs contain conserved H-C links. Gli family zinc finger proteins are mediators of Sonic hedgehog (Shh) signaling and they are implicated as potent oncogenes in the embryonal carcinoma cell. The protein encoded by this gene localizes to the cytoplasm and activates patched Drosophila homolog (PTCH) gene expression. It is also thought to play a role during embryogenesis. The encoded protein is associated with several phenotypes- Greig cephalopolysyndactyly syndrome, Pallister-Hall syndrome, preaxial polydactyly type IV, postaxial polydactyly types A1 and B. [provided by RefSeq, Jul 2008]

Full Name

GLI family zinc finger 2

Source NCBI

ReMap Statistics

Datasets
1
Biotypes
1
Peaks
2,860
Non-redundant peaks
2,860

TF Classification

Super Class
NA
Class
NA
Familly
NA
Sub Familly
NA

Source TFClass

External IDs

JASPAR
MA0734
Ensembl
ENSG00000074047
UniProt
P10070
Genevisible
P10070
RefSeq
NM_005270
Aliases
CJS; HPE9; PHS2; THP1; THP2
All peaks GLI2
Download BED file
Non redundant peaks GLI2
Download BED file
SEQUENCES GLI2
Download FASTA file
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Datasets Table for GLI2

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
GLI2 HEK293 ENCODE Homo sapiens ENCSR978EQY 2,860
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.