IA-LMHomo sapiens (Human)Cancer cell line

Also known as: IALM

🤖 AI SummaryBased on 3 publications

Quick Overview

Human cell line for cancer research

Detailed Summary

The IA-LM cell line is a human-derived cell line used in cancer research. It is part of the Cancer Cell Line Encyclopedia (CCLE) and the Catalogue of Somatic Mutations in Cancer (COSMIC) databases. These resources provide extensive genomic and pharmacological data, enabling researchers to study drug sensitivity and genetic predictors of cancer treatment responses. The cell line is utilized in studies involving genomic profiling, drug screening, and understanding the molecular mechanisms of cancer. Its inclusion in large-scale studies allows for the exploration of genetic diversity and its impact on cancer biology and therapeutic outcomes.

Research Applications

Genomic profilingDrug screeningCancer biology research

Key Characteristics

Part of CCLE and COSMIC databasesUsed for studying drug sensitivityUtilized in molecular mechanism studies
Generated on 6/16/2025

Basic Information

Database IDCVCL_1302
SpeciesHomo sapiens (Human)

Donor Information

Age68
Age CategoryAdult
SexMale
Raceasian

Disease Information

DiseaseLung large cell carcinoma
LineageLung
SubtypeLarge Cell Lung Carcinoma
OncoTree CodeLCLC

DepMap Information

Source TypeRIKEN
Source IDACH-000672_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Gln192Ter (c.574C>T)Unspecified-PubMed=28273451, PubMed=22931248
MutationSimpleKRASp.Gly12Cys (c.34G>T)Unspecified-PubMed=21173094

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10
D13S317
8
D16S539
10,11
D5S818
10,11
D7S820
8,12
TH01
9
TPOX
8
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

Genetic diversity among the present Japanese population: evidence from genotyping of human cell lines established in Japan.

Kasai F., Fukushima M., Miyagi Y., Nakamura Y.

Hum. Cell 37:944-950(2024).

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).

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

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).

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).