DMS 454Homo sapiens (Human)Cancer cell line

Also known as: Darmouth Medical School 454, DMS454, DMS-454

🤖 AI SummaryBased on 5 publications

Quick Overview

Human cancer cell line with unknown tissue and disease origin, used in genomic and transcriptomic studies.

Detailed Summary

DMS 454 is a human cancer cell line with unknown tissue and disease origin. It is part of a large-scale study analyzing the transcriptome and genomic features of 675 cancer cell lines. This cell line is used to investigate gene expression, mutations, and fusion events, contributing to the understanding of cancer biology and drug response. The research highlights the importance of comprehensive genomic and transcriptomic profiling in identifying potential therapeutic targets and biomarkers for cancer treatment.

Research Applications

Genomic and transcriptomic profilingIdentification of gene mutations and fusionsDrug response predictionBiomarker discovery

Key Characteristics

Used in large-scale cancer cell line studiesPart of comprehensive genomic data setsContributes to understanding of cancer heterogeneity
Generated on 6/18/2025

Basic Information

Database IDCVCL_2438
SpeciesHomo sapiens (Human)
Tissue SourceLung[UBERON:UBERON_0002048]

Donor Information

Age CategoryUnknown
SexMale

Disease Information

DiseaseSmall cell lung cancer
LineageLung
SubtypeSmall Cell Lung Cancer
OncoTree CodeSCLC

DepMap Information

Source TypeECACC
Source IDACH-000844_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Val157Phe (c.469G>T)Homozygous-Unknown

Haplotype Information (STR Profile)

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

Amelogenin
X,Y
CSF1PO
11,12
D13S317
11,12
D16S539
11,13
D18S51
12
D21S11
29
D3S1358
16
D5S818
12
D7S820
8
D8S1179
12,13
FGA
21,22
Penta D
9
Penta E
10,14
TH01
6,9
TPOX
8
vWA
18
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).

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).

A catalog of HLA type, HLA expression, and neo-epitope candidates in human cancer cell lines.

Boegel S., Lower M., Bukur T., Sahin U., Castle J.C.

OncoImmunology 3:e954893.1-e954893.12(2014).

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

Neve R.M.

Nature 520:307-311(2015).

A comprehensive transcriptional portrait of human cancer cell lines.

Settleman J., Seshagiri S., Zhang Z.-M.

Nat. Biotechnol. 33:306-312(2015).

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).