TP73

Information TP73

Description

This gene encodes a member of the p53 family of transcription factors involved in cellular responses to stress and development. It maps to a region on chromosome 1p36 that is frequently deleted in neuroblastoma and other tumors, and thought to contain multiple tumor suppressor genes. The demonstration that this gene is monoallelically expressed (likely from the maternal allele), supports the notion that it is a candidate gene for neuroblastoma. Many transcript variants resulting from alternative splicing and/or use of alternate promoters have been found for this gene, but the biological validity and the full-length nature of some variants have not been determined. [provided by RefSeq, Feb 2011]

Full Name

tumor protein p73

Source NCBI

ReMap Statistics

Datasets
3
Biotypes
2
Peaks
40,617
Non-redundant peaks
29,624

TF Classification

Super Class
Immunoglobulin fold
Class
p53 domain factors
Familly
p53-related factors
Sub Familly
None

Source TFClass

External IDs

JASPAR
MA0861
Ensembl
ENSG00000078900
UniProt
O15350
Genevisible
O15350
RefSeq
NM_001126240
Aliases
P73
All peaks TP73
Download BED file
Non redundant peaks TP73
Download BED file
SEQUENCES TP73
Download FASTA file
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Datasets Table for TP73

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
TP73 DELTANP SaOS-2 GEO Homo sapiens GSE15780 23,713
TP73 TA SaOS-2 GEO Homo sapiens GSE15780 15,534
TP73 GM12878 GEO Homo sapiens GSE97661 1,370
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.