THRB

Information THRB

Description

The protein encoded by this gene is a nuclear hormone receptor for triiodothyronine. It is one of the several receptors for thyroid hormone, and has been shown to mediate the biological activities of thyroid hormone. Knockout studies in mice suggest that the different receptors, while having certain extent of redundancy, may mediate different functions of thyroid hormone. Mutations in this gene are known to be a cause of generalized thyroid hormone resistance (GTHR), a syndrome characterized by goiter and high levels of circulating thyroid hormone (T3-T4), with normal or slightly elevated thyroid stimulating hormone (TSH). Several alternatively spliced transcript variants encoding the same protein have been observed for this gene. [provided by RefSeq, Jul 2008]

Full Name

thyroid hormone receptor beta

Source NCBI

ReMap Statistics

Datasets
1
Biotypes
1
Peaks
43,669
Non-redundant peaks
43,669

TF Classification

Super Class
NA
Class
NA
Familly
NA
Sub Familly
NA

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000151090
UniProt
P10828
Genevisible
P10828
RefSeq
NM_000461
Aliases
C-ERBA-2; C-ERBA-BETA; ERBA-BETA; ERBA2; GRTH; NR1A2; PRTH; THR1; THRB1; THRB2
All peaks THRB
Download BED file
Non redundant peaks THRB
Download BED file
SEQUENCES THRB
Download FASTA file
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Datasets Table for THRB

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
THRB Hep-G2 ENCODE Homo sapiens ENCSR430JGJ 43,669
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.