DBTRG-05MGHomo sapiens (Human)Cancer cell line

Also known as: DBTRG, DBTRG05MG, DBTRG.05MG

🤖 AI SummaryBased on 8 publications

Quick Overview

Human glioblastoma cell line with known genetic alterations

Detailed Summary

DBTRG-05MG is a human glioblastoma cell line derived from a brain tumor. It is commonly used in cancer research to study tumor biology, drug sensitivity, and genetic mutations. This cell line has been characterized in multiple studies, including the Cancer Cell Line Encyclopedia (CCLE) and other genomic profiling efforts. Research on DBTRG-05MG has contributed to understanding the genetic basis of glioblastoma and identifying potential therapeutic targets. The cell line is part of a large panel of cancer cell lines used for high-throughput screening and functional genomics studies.

Research Applications

Cancer biology researchDrug sensitivity screeningGenomic profilingFunctional genomics studies

Key Characteristics

Human glioblastoma cell lineUsed in high-throughput screeningPart of the Cancer Cell Line Encyclopedia (CCLE)Characterized in multiple genomic studies
Generated on 6/16/2025

Basic Information

Database IDCVCL_1169
SpeciesHomo sapiens (Human)
Tissue SourceBrain[UBERON:UBERON_0000955]

Donor Information

Age59
Age CategoryAdult
SexFemale
Racecaucasian

Disease Information

DiseaseAnaplastic astrocytoma
LineageCNS/Brain
SubtypeGlioblastoma
OncoTree CodeGB

DepMap Information

Source TypeATCC
Source IDACH-000863_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleBRAFp.Val600Glu (c.1799T>A)Unspecified-PubMed=26214590

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,11
D13S317
9
D16S539
10,12
D18S51
12,16
D19S433
13
D21S11
29,31.2
D2S1338
23,24
D3S1358
14,15
D5S818
12,13
D7S820
11
D8S1179
13
FGA
22,25
Penta D
9,13
Penta E
11
TH01
7,8
TPOX
8
vWA
15,16
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).

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

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).

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).

A landscape of pharmacogenomic interactions in cancer.";

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

Cell 166:740-754(2016).

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).

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).

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).

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).

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).

Immunocytochemical analysis of cell lines derived from solid tumors.

Quentmeier H., Osborn M., Reinhardt J., Zaborski M., Drexler H.G.

J. Histochem. Cytochem. 49:1369-1378(2001).

Brain tumors.";

Ali-Osman F.

(In book chapter) Human cell culture. Vol. 2. Cancer cell lines part 2; Masters J.R.W., Palsson B.O. (eds.); pp.167-184; Kluwer Academic Publishers; New York; USA (1999).