SW480

Information for SW480

Description

Human colon adenocarcinoma, established from the tumor of a 50-year-old Caucasian man with colon adenocarcinoma.

Source BRENDA Tissue Ontology (BTO)

ReMap Statistics

Datasets
13
Transcriptional Factors
6
Peaks
529,382
Non-redundant peaks
197,328

Description

Cell_name
SW480
Category
Cancer cell line
Disease
NCIt; C4349; Colon adenocarcinoma
Sex_gender_of_cell
Male
Age_of_donor
51Y

External IDs

Cellosaurus
CVCL_0546
Experimental Factor
EFO_0002083
BRENDA Tissue
BTO:0000038
Wiki
SW480
ATCC
SW480
Synonyms
SW 480; SW-480; SW480 cell; SW480E
All peaks SW480
Download BED file
Non redundant SW480
Download BED file
CRMs SW480
Download BED file
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Datasets Table for SW480

Biotype Biotype modification Ecotype Target name Target modification Source Species Experiment Peaks
SW480 0h_TNFa RELA GEO Homo sapiens GSE102796 Download (3,393)
SW480 16h_TNFa RELA GEO Homo sapiens GSE102796 Download (37,386)
SW480 0h_TNFa TP53 GEO Homo sapiens GSE102796 Download (48,447)
SW480 16h_TNFa TP53 GEO Homo sapiens GSE102796 Download (102,210)
SW480 BRD4 GEO Homo sapiens GSE110473 Download (39,008)
SW480 16h_TNF-a BRD4 GEO Homo sapiens GSE110473 Download (34,110)
SW480 shLacZ_16h_TNF-a TP53 GEO Homo sapiens GSE115985 Download (108,925)
SW480 shp53_16h_TNF-a TP53 GEO Homo sapiens GSE115985 Download (35,985)
SW480 CDK8 GEO Homo sapiens GSE53602 Download (12,729)
SW480 PROX1 GEO Homo sapiens GSE60390 Download (41,118)
SW480 TP53 GEO Homo sapiens GSE67108 Download (12)
SW480 BRD4 GEO Homo sapiens GSE73319 Download (25,012)
SW480 MLL4 GEO Homo sapiens GSE115985 Download (41,047)
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.