GMS-10Homo sapiens (Human)Cancer cell line

Also known as: GMS10

🤖 AI SummaryBased on 5 publications

Quick Overview

Human cancer cell line with unknown tissue and disease origin, used in cancer research.

Detailed Summary

GMS-10 is a human cancer cell line with unknown tissue and disease origin. It is part of the Cancer Cell Line Encyclopedia (CCLE) and has been used in studies related to drug sensitivity and genomic profiling. The cell line's genetic and molecular characteristics are being explored to understand cancer biology and develop targeted therapies. Research on GMS-10 focuses on identifying genetic mutations and their impact on drug response, contributing to the broader understanding of cancer mechanisms and treatment strategies.

Research Applications

Cancer researchDrug sensitivity profilingGenomic profiling

Key Characteristics

Part of the Cancer Cell Line Encyclopedia (CCLE)Used in studies of drug response and genetic mutations
Generated on 6/16/2025

Basic Information

Database IDCVCL_1233
SpeciesHomo sapiens (Human)
Tissue SourceBrain[UBERON:UBERON_0000955]

Donor Information

Age49
Age CategoryAdult
SexMale

Disease Information

DiseaseGlioblastoma
LineageCNS/Brain
SubtypeGlioblastoma
OncoTree CodeGB

DepMap Information

Source TypeDSMZ
Source IDACH-000102_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Tyr236Cys (c.707A>G)Heterozygous-Unknown, Unknown
MutationSimpleRB1p.Arg320Ter (c.958C>T)Heterozygous-PubMed=25326674

Haplotype Information (STR Profile)

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

Amelogenin
X,Y
CSF1PO
12,13
D13S317
11
D16S539
9,13
D18S51
13,17,18
D19S433
14
D21S11
28
D2S1338
19,24
D3S1358
14,18
D5S818
11,14
D7S820
9,11
D8S1179
14
FGA
17
Penta D
13
Penta E
10,16
TH01
6
TPOX
11
vWA
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

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(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).

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).