CBFA2T2

Information CBFA2T2

Description

In acute myeloid leukemia, especially in the M2 subtype, the t(8;21)(q22;q22) translocation is one of the most frequent karyotypic abnormalities. The translocation produces a chimeric gene made up of the 5'-region of the RUNX1 (AML1) gene fused to the 3'-region of the CBFA2T1 (MTG8) gene. The chimeric protein is thought to associate with the nuclear corepressor/histone deacetylase complex to block hematopoietic differentiation. The protein encoded by this gene binds to the AML1-MTG8 complex and may be important in promoting leukemogenesis. Several transcript variants are thought to exist for this gene, but the full-length natures of only three have been described. [provided by RefSeq, Jul 2008]

Full Name

CBFA2/RUNX1 partner transcriptional co-repressor 2

Source NCBI

ReMap Statistics

Datasets
2
Biotypes
2
Peaks
65,375
Non-redundant peaks
64,079

TF Classification

Super Class
Unknown
Class
Unknown
Familly
Unknown
Sub Familly
Unknown

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000078699
UniProt
O43439
Genevisible
O43439
RefSeq
NM_001032999
Aliases
EHT; MTGR1; ZMYND3; p85
All peaks CBFA2T2
Download BED file
Non redundant peaks CBFA2T2
Download BED file
SEQUENCES CBFA2T2
Download FASTA file
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Datasets Table for CBFA2T2

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
CBFA2T2 K-562 ENCODE Homo sapiens ENCSR699PVC 26,659
CBFA2T2 NCCIT GEO Homo sapiens GSE71675 38,716
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.