SNAI2

Information SNAI2

Description

This gene encodes a member of the Snail family of C2H2-type zinc finger transcription factors. The encoded protein acts as a transcriptional repressor that binds to E-box motifs and is also likely to repress E-cadherin transcription in breast carcinoma. This protein is involved in epithelial-mesenchymal transitions and has antiapoptotic activity. Mutations in this gene may be associated with sporatic cases of neural tube defects. [provided by RefSeq, Jul 2008]

Full Name

snail family transcriptional repressor 2

Source NCBI

ReMap Statistics

Datasets
6
Biotypes
1
Peaks
130,468
Non-redundant peaks
86,242

TF Classification

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

Source TFClass

External IDs

JASPAR
MA0745
Ensembl
ENSG00000019549
UniProt
O43623
Genevisible
O43623
RefSeq
NM_003068
Aliases
SLUG; SLUGH; SLUGH1; SNAIL2; WS2D
All peaks SNAI2
Download BED file
Non redundant peaks SNAI2
Download BED file
SEQUENCES SNAI2
Download FASTA file
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Datasets Table for SNAI2

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
SNAI2 keratinocyte LacZ GEO Homo sapiens GSE55421 25,014
SNAI2 keratinocyte LacZ_DIFF GEO Homo sapiens GSE55421 4,424
SNAI2 keratinocyte SHCTR GEO Homo sapiens GSE55421 7,108
SNAI2 keratinocyte SHSNAI2 GEO Homo sapiens GSE55421 879
SNAI2 keratinocyte SNAI2 GEO Homo sapiens GSE55421 12,485
SNAI2 keratinocyte SNAI2_diff GEO Homo sapiens GSE55421 80,558
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.