DK-MGHomo sapiens (Human)Cancer cell line

Also known as: DKMG

🤖 AI SummaryBased on 7 publications

Quick Overview

Human cancer cell line with potential for drug sensitivity studies.

Detailed Summary

The DK-MG cell line, derived from human cells, is utilized in cancer research for its genetic characteristics and potential in drug sensitivity studies. It is part of the Cancer Cell Line Encyclopedia (CCLE) and has been analyzed for genomic and pharmacological profiles. Research indicates that it may exhibit specific responses to anticancer drugs, making it a valuable model for studying therapeutic interventions. However, detailed information on its tissue origin, disease type, and specific cell type remains limited, necessitating further investigation.

Generated on 6/16/2025

Basic Information

Database ID	CVCL_1173
Species	Homo sapiens (Human)
Tissue Source	Brain, right parietal lobe[UBERON:UBERON_0002803]

Donor Information

Age	67
Age Category	Adult
Sex	Female

Disease Information

Disease	Glioblastoma
Lineage	CNS/Brain
Subtype	Glioblastoma
OncoTree Code	GB

DepMap Information

Source Type	DSMZ
Source ID	ACH-000244_source

Haplotype Information (STR Profile)

Short Tandem Repeat (STR) profile for cell line authentication.

Amelogenin

CSF1PO

D13S317

D16S539

10,11

D18S51

13,17

D19S433

13,15.2

D21S11

29,30

D2S1338

24,25

D3S1358

15,16

D5S818

9,11

D7S820

9,12

D8S1179

FGA

19,24

Penta D

9,12

Penta E

7,17

TH01

9.3

TPOX

vWA

18,19

Gene Expression Profile

Gene expression levels and statistical distribution

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Full DepMap dataset with combined data across cell lines

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Publications

Pan-cancer proteomic map of 949 human cell lines.";

Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.

Cancer Cell 40:835-849.e8(2022).

DOI PubMed PMC

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

DOI PubMed PMC

Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.

Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.

Nature 568:511-516(2019).

DOI PubMed

An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.

Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.

Cancer Res. 79:1263-1273(2019).

DOI PubMed PMC

TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.

Loewer M., Sahin U., Castle J.C.

Genome Med. 7:118.1-118.7(2015).

DOI PubMed PMC

A landscape of pharmacogenomic interactions in cancer.";

Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.

Cell 166:740-754(2016).

DOI PubMed PMC

Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.

Golub T.R., Root D.E., Hahn W.C.

Sci. Data 1:140035-140035(2014).

DOI PubMed PMC

A resource for cell line authentication, annotation and quality control.

Neve R.M.

Nature 520:307-311(2015).

DOI PubMed

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.

Nature 483:603-607(2012).

DOI PubMed PMC

A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers.

Haber D.A.

Cancer Res. 70:2158-2164(2010).

DOI PubMed PMC

Signatures of mutation and selection in the cancer genome.";

Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.

Nature 463:893-898(2010).

DOI PubMed PMC