SK-MM-2Homo sapiens (Human)Cancer cell line

Also known as: SKMM2, SKMM-2, SK-MM2

🤖 AI SummaryBased on 15 publications

Quick Overview

Human multiple myeloma cell line with B-cell origin, used in cancer research.

Detailed Summary

SK-MM-2 is a human multiple myeloma cell line derived from B-cells, commonly used in cancer research. It is characterized by its origin as a B-cell line and its application in studying multiple myeloma. The cell line is part of a collection of cell lines used for investigating the molecular mechanisms of cancer. Research on SK-MM-2 focuses on understanding the genetic and molecular features of multiple myeloma, contributing to the development of targeted therapies. The cell line is utilized in studies related to gene expression, mutations, and drug sensitivity, providing insights into the disease's progression and treatment responses.

Research Applications

Cancer researchMultiple myeloma studiesGene expression analysisDrug sensitivity testing

Key Characteristics

B-cell originUsed in molecular studiesPart of cell line collections
Generated on 6/17/2025

Basic Information

Database IDCVCL_1699
SpeciesHomo sapiens (Human)
Tissue SourcePeripheral blood[UBERON:UBERON_0000178]

Donor Information

Age54
Age CategoryAdult
SexMale

Disease Information

DiseaseMultiple myeloma
LineageLymphoid
SubtypePlasma Cell Myeloma
OncoTree CodePCM

DepMap Information

Source TypeDSMZ
Source IDACH-000363_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Lys132Asn (c.396G>T)Heterozygous-Unknown
Gene fusionCCND1IGH-CCND1--DOI=10.6342/NTU.2004.01000

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,12
D13S317
10
D16S539
11
D18S51
11
D19S433
14,15
D21S11
30,31.2
D2S1338
16,17
D3S1358
16
D5S818
9,11
D7S820
8,11
D8S1179
12,13
FGA
21
Penta D
11,15
Penta E
10,20
TH01
6
TPOX
8,11
vWA
14,20
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).

Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis.

Sirota M., Wiita A.P.

Leukemia 34:2754-2765(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).

Whole-exon sequencing of human myeloma cell lines shows mutations related to myeloma patients at relapse with major hits in the DNA regulation and repair pathways.

Pellat-Deceunynck C.

J. Hematol. Oncol. 11:137.1-137.13(2018).

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).

Characterization of human cancer cell lines by reverse-phase protein arrays.

Liang H.

Cancer Cell 31:225-239(2017).

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).

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

Neve R.M.

Nature 520:307-311(2015).

A simple flow cytometry-based barcode for routine authentication of multiple myeloma and mantle cell lymphoma cell lines.

Moreau-Aubry A., Amiot M., Pellat-Deceunynck C.

Cytometry A 87:285-288(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).

A high-risk signature for patients with multiple myeloma established from the molecular classification of human myeloma cell lines.

Pellat-Deceunynck C.

Haematologica 96:574-582(2011).

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).

Characterization of MYC translocations in multiple myeloma cell lines.

Dib A., Gabrea A., Glebov O.K., Bergsagel P.L., Kuehl W.M.

J. Natl. Cancer Inst. Monogr. 39:25-31(2008).

Promiscuous mutations activate the noncanonical NF-kappaB pathway in multiple myeloma.

Stewart A.K., Carpten J.D., Bergsagel P.L.

Cancer Cell 12:131-144(2007).

Activated fibroblast growth factor receptor 3 is an oncogene that contributes to tumor progression in multiple myeloma.

Kuehl W.M., Bergsagel P.L.

Blood 97:729-736(2001).

Malignant hematopoietic cell lines: in vitro models for the study of multiple myeloma and plasma cell leukemia.

Drexler H.G., Matsuo Y.

Leuk. Res. 24:681-703(2000).

Promiscuous translocations into immunoglobulin heavy chain switch regions in multiple myeloma.

Kuehl W.M.

Proc. Natl. Acad. Sci. U.S.A. 93:13931-13936(1996).

Dysregulation of cyclin D1 by translocation into an IgH gamma switch region in two multiple myeloma cell lines.

Kuehl W.M.

Blood 88:674-681(1996).

Establishment and characterization of two human myeloma cell lines secreting kappa light chains.

Eton O., Scheinberg D.A., Houghton A.N.

Leukemia 3:729-735(1989).

The leukemia-lymphoma cell line factsbook.";

Drexler H.G.

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

Multiple myeloma cell lines.";

Jernberg-Wiklund H., Nilsson K.

(In book chapter) Human cell culture. Vol. 3. Cancer cell lines part 3; Masters J.R.W., Palsson B.O. (eds.); pp.81-155; Kluwer Academic Publishers; New York; USA (2000).