HNRNPH1

Information HNRNPH1

Description

This gene encodes a member of a subfamily of ubiquitously expressed heterogeneous nuclear ribonucleoproteins (hnRNPs). The hnRNPs are RNA binding proteins that complex with heterogeneous nuclear RNA. These proteins are associated with pre-mRNAs in the nucleus and appear to influence pre-mRNA processing and other aspects of mRNA metabolism and transport. While all of the hnRNPs are present in the nucleus, some may shuttle between the nucleus and the cytoplasm. The hnRNP proteins have distinct nucleic acid binding properties. The protein encoded by this gene has three repeats of quasi-RRM domains that bind to RNA and is very similar to the family member HNRPF. This gene may be associated with hereditary lymphedema type I. Alternatively spliced transcript variants have been described [provided by RefSeq, Mar 2012]

Full Name

heterogeneous nuclear ribonucleoprotein H1

Source NCBI

ReMap Statistics

Datasets
1
Biotypes
1
Peaks
56,569
Non-redundant peaks
56,569

TF Classification

Super Class
NA
Class
NA
Familly
NA
Sub Familly
NA

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000284254
UniProt
P31943
Genevisible
P31943
RefSeq
NM_001257293
Aliases
HNRPH; HNRPH1; hnRNPH
All peaks HNRNPH1
Download BED file
Non redundant peaks HNRNPH1
Download BED file
SEQUENCES HNRNPH1
Download FASTA file
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Datasets Table for HNRNPH1

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
HNRNPH1 Hep-G2 ENCODE Homo sapiens ENCSR066FXN 56,569
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.

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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.