OCI-Ly3

Information for OCI-Ly3

Description

Source BRENDA Tissue Ontology (BTO)

ReMap Statistics

Datasets
13
Transcriptional Factors
7
Peaks
175,098
Non-redundant peaks
133,305

Description

Cell_name
OCI-Ly3
Category
Cancer cell line
Disease
NCIt; C8851; Diffuse large B-cell lymphoma
Sex_gender_of_cell
Male
Age_of_donor
52Y

External IDs

Cellosaurus
CVCL_8800
Experimental Factor
EFO_0006710
BRENDA Tissue
Wiki
OCI-Ly3
ATCC
OCI-Ly3
Synonyms
Ly3; OCI Ly3; OCI-LY-3; OCI-LY3; OCI-Ly 3; OCI-Ly03; OCILY-3; OCILY3
All peaks OCI-Ly3
Download BED file
Non redundant OCI-Ly3
Download BED file
CRMs OCI-Ly3
Download BED file
DOWNLOAD All ReMap
Go to catalogue

Datasets Table for OCI-Ly3

Biotype Biotype modification Ecotype Target name Target modification Source Species Experiment Peaks
OCI-Ly3 CTCF ENCODE Homo sapiens ENCSR756ZKG Download (77,452)
OCI-Ly3 STAT3 GEO Homo sapiens GSE50723 Download (8,890)
OCI-Ly3 BATF GEO Homo sapiens GSE56857 Download (3,428)
OCI-Ly3 IRF4 GEO Homo sapiens GSE56857 Download (9,085)
OCI-Ly3 SHCTR IRF4 GEO Homo sapiens GSE56857 Download (8,295)
OCI-Ly3 SHSPIB IRF4 GEO Homo sapiens GSE56857 Download (747)
OCI-Ly3 SPI1 GEO Homo sapiens GSE56857 Download (3,596)
OCI-Ly3 SHCTR SPI1 GEO Homo sapiens GSE56857 Download (3,030)
OCI-Ly3 SHSPIB SPI1 GEO Homo sapiens GSE56857 Download (641)
OCI-Ly3 SPIB GEO Homo sapiens GSE56857 Download (28,001)
OCI-Ly3 SHCTR SPIB GEO Homo sapiens GSE56857 Download (28,168)
OCI-Ly3 SHSPIB SPIB GEO Homo sapiens GSE56857 Download (3,497)
OCI-Ly3 EZH2phosphoT487 ENCODE Homo sapiens ENCSR584ATA Download (268)
Biotype Biotype modification Ecotype Target name Target 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.