USF2

Information USF2

Description

This gene encodes a member of the basic helix-loop-helix leucine zipper family of transcription factors. The encoded protein can activate transcription through pyrimidine-rich initiator (Inr) elements and E-box motifs and is involved in regulating multiple cellular processes. [provided by RefSeq, Mar 2016]

Full Name

upstream transcription factor 2, c-fos interacting

Source NCBI

ReMap Statistics

Datasets
12
Biotypes
8
Peaks
185,318
Non-redundant peaks
97,871

TF Classification

Super Class
Basic domains
Class
Basic helix-loop-helix factors (bHLH)
Familly
bHLH-ZIP factors
Sub Familly
USF factors

Source TFClass

External IDs

JASPAR
MA0526
Ensembl
ENSG00000105698
UniProt
Q15853
Genevisible
Q15853
RefSeq
NM_001321150
Aliases
FIP; bHLHb12
All peaks USF2
Download BED file
Non redundant peaks USF2
Download BED file
SEQUENCES USF2
Download FASTA file
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Datasets Table for USF2

Target name Target modification Ecotype/Strain Biotype Biotype modification Source Species Experiment Peaks
USF2 GM12878 ENCODE Homo sapiens ENCSR000DZU 4,484
USF2 A-549 ENCODE Homo sapiens ENCSR563FBT 9,342
USF2 Hep-G2 ENCODE Homo sapiens ENCSR000EEF 8,643
USF2 IMR-90 ENCODE Homo sapiens ENCSR513UQG 40,117
USF2 K-562 ENCODE Homo sapiens ENCSR000EHG 3,621
USF2 K-562 ENCODE Homo sapiens ENCSR359NFW 8,520
USF2 SK-N-SH ENCODE Homo sapiens ENCSR945NFL 3,234
USF2 WA01 ENCODE Homo sapiens ENCSR000ECD 8,530
USF2 HeLa-S3 ENCODE Homo sapiens ENCSR000ECW 25,222
USF2 K-562 GEO Homo sapiens GSE111469 17,186
USF2 GM12878 GEO Homo sapiens GSE97661 34,608
USF2 Hep-G2 GEO Homo sapiens GSE97661 21,811
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.