MRC-5

Information for MRC-5

Description

Homo sapiens (human) lung; fibroblast; normal cell line. The MRC-5 cell line was derived from normal lung tissue of a 14-week-old male fetus by J.P. Jacobs in September of 1966.

Source BRENDA Tissue Ontology (BTO)

ReMap Statistics

Datasets
10
Transcriptional Factors
3
Peaks
278,802
Non-redundant peaks
119,236

Description

Cell_name
MRC-5
Category
Finite cell line
Sex_gender_of_cell
Male
Age_of_donor
14FW

External IDs

Cellosaurus
CVCL_0440
Experimental Factor
EFO_0002835
BRENDA Tissue
BTO:0001590
Wiki
MRC-5
ATCC
MRC-5
Synonyms
MRC 5; MRC-V; MRC5; MRCV; Medical Research Council cell strain-5
All peaks MRC-5
Download BED file
Non redundant MRC-5
Download BED file
CRMs MRC-5
Download BED file
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Datasets Table for MRC-5

Biotype Biotype modification Ecotype Target name Target modification Source Species Experiment Peaks
MRC-5 IPS25_CTR JARID2 GEO Homo sapiens GSE48515 Download (24,538)
MRC-5 IPS25_MEG3 JARID2 GEO Homo sapiens GSE48515 Download (33,181)
MRC-5 IPS25 JARID2 GEO Homo sapiens GSE48516 Download (3,613)
MRC-5 N_02DPT NEUROG2 GEO Homo sapiens GSE75910 Download (25,415)
MRC-5 N_05DPT NEUROG2 GEO Homo sapiens GSE75910 Download (20,203)
MRC-5 N_1DPT NEUROG2 GEO Homo sapiens GSE75910 Download (28,311)
MRC-5 NFD_02DPT NEUROG2 GEO Homo sapiens GSE75910 Download (39,590)
MRC-5 NFD_05DPT NEUROG2 GEO Homo sapiens GSE75910 Download (40,323)
MRC-5 NFD_1DPT NEUROG2 GEO Homo sapiens GSE75910 Download (43,946)
MRC-5 1DPT SOX4 GEO Homo sapiens GSE75910 Download (19,682)
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.

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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.