OCI-M1Homo sapiens (Human)Cancer cell line

Also known as: OCIM1, OCI M1

🤖 AI SummaryBased on 4 publications

Quick Overview

Human cancer cell line with unknown tissue and disease origins.

Detailed Summary

OCI-M1 is a human cancer cell line with unknown tissue and disease origins. It is part of the Cancer Cell Line Encyclopedia (CCLE) and has been analyzed for its genomic and transcriptomic features. The cell line has been used in studies related to cancer genomics, drug sensitivity, and molecular profiling. Research on OCI-M1 has contributed to understanding the genetic diversity and heterogeneity of cancer cell lines, which is crucial for developing targeted therapies and personalized medicine approaches.

Research Applications

Cancer genomicsDrug sensitivity profilingMolecular profiling

Key Characteristics

Part of the Cancer Cell Line Encyclopedia (CCLE)Used in studies of cancer genomic diversityContributed to understanding of cancer cell line heterogeneity
Generated on 6/18/2025

Basic Information

Database IDCVCL_2149
SpeciesHomo sapiens (Human)

Donor Information

Age62
Age CategoryAdult
SexUnknown

Disease Information

DiseaseAcute myeloid leukemia
LineageMyeloid
SubtypeAcute Myeloid Leukemia
OncoTree CodeAML

DepMap Information

Source TypeDSMZ
Source IDACH-000751_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53c.673-2A>T (IVS6-2A>T)UnspecifiedSplice acceptor mutationPubMed=11799138
MutationSimpleTP53p.Leu145Arg (c.434T>G)Homozygous-from parent cell line SK-MEL-28

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,12,14
D13S317
11,12
D16S539
9
D18S51
16
D19S433
15,16
D21S11
31.2,33.2
D2S1338
18,24
D3S1358
17,18
D5S818
11
D7S820
10
D8S1179
13
FGA
18,24
Penta D
6,11
Penta E
10,11
TH01
9
TPOX
11
vWA
17,18
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

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).

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).

Screening human cell lines for viral infections applying RNA-Seq data analysis.

Uphoff C.C., Pommerenke C., Denkmann S.A., Drexler H.G.

PLoS ONE 14:E0210404-E0210404(2019).

Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines.

Yang H.H., Koeffler H.P.

BMC Cancer 18:940.1-940.13(2018).

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).

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).

Surface antigenic profile and globin phenotype of two new human erythroleukemia lines: characterization and interpretations.

Messner H.A.

Blood 72:1029-1038(1988).

The leukemia-lymphoma cell line factsbook.";

Drexler H.G.

(In book) ISBN 9780122219702; pp.1-733; Academic Press; London; United Kingdom (2001).