DDX21

Information DDX21

Description

DEAD box proteins, characterized by the conserved motif Asp-Glu-Ala-Asp (DEAD), are putative RNA helicases. They are implicated in a number of cellular processes involving alteration of RNA secondary structure such as translation initiation, nuclear and mitochondrial splicing, and ribosome and spliceosome assembly. Based on their distribution patterns, some members of this family are believed to be involved in embryogenesis, spermatogenesis, and cellular growth and division. This gene encodes a DEAD box protein, which is an antigen recognized by autoimmune antibodies from a patient with watermelon stomach disease. This protein unwinds double-stranded RNA, folds single-stranded RNA, and may play important roles in ribosomal RNA biogenesis, RNA editing, RNA transport, and general transcription. [provided by RefSeq, Jul 2008]

Full Name

DExD-box helicase 21

Source NCBI

ReMap Statistics

Datasets
2
Biotypes
1
Peaks
3,325
Non-redundant peaks
3,051

TF Classification

Super Class
NA
Class
NA
Familly
NA
Sub Familly
NA

Source TFClass

External IDs

JASPAR
Ensembl
ENSG00000165732
UniProt
Q9NR30
Genevisible
Q9NR30
RefSeq
NM_001256910
Aliases
GUA; GURDB; RH-II/GU; RH-II/GuA
All peaks DDX21
Download BED file
Non redundant peaks DDX21
Download BED file
SEQUENCES DDX21
Download FASTA file
DOWNLOAD All ReMap
Got to catalogue

Datasets Table for DDX21

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
DDX21 HeLa GEO Homo sapiens GSE89420 3,037
DDX21 HeLa siTCOF1 GEO Homo sapiens GSE89420 288
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.