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Cellosaurus KMS-27 (CVCL_2993)

[Text version]
Cell line name KMS-27
Synonyms KMS27; Kawasaki Medical School-27
Accession CVCL_2993
Resource Identification Initiative To cite this cell line use: KMS-27 (RRID:CVCL_2993)
Comments Part of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: MD Anderson Cell Lines Project.
Population: Japanese.
Omics: Array-based CGH.
Omics: Deep exome analysis.
Omics: Deep quantitative proteome analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Derived from site: In situ; Peripheral blood; UBERON=UBERON_0000178.
Cell type: B-cell; CL=CL_0000236.
HLA typing Source: PubMed=26589293
Class I
HLA-AA*02:01,26:01
HLA-BB*40:03,40:03
HLA-CC*03:04,03:04
Genome ancestry Source: PubMed=30894373

Origin% genome
African0
Native American0.28
East Asian, North76.27
East Asian, South23.45
South Asian0
European, North0
European, South0
Disease Plasma cell myeloma (NCIt: C3242)
Multiple myeloma (ORDO: Orphanet_29073)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Male
Age at sampling 52Y
Category Cancer cell line
STR profile Source(s): JCRB=JCRB1188; PubMed=25877200

Markers:
AmelogeninX,Y
CSF1PO10,12
D3S135816,17
D5S81810,12
D7S82011
D8S117911,12
D13S31710,11
D16S53911,12
D18S5114,16
D21S1130,32.2
FGA22,23
Penta D9,12
Penta E13,18.4
TH016,9
TPOX8
vWA14,17

Run an STR similarity search on this cell line
Web pages https://www.keatslab.org/myeloma-cell-lines/hmcl-characteristics
https://tcpaportal.org/mclp/
Publications

PubMed=15215163; DOI=10.1016/S0002-9440(10)63276-2; PMCID=PMC1618545
Inoue J., Otsuki T., Hirasawa A., Imoto I., Matsuo Y., Shimizu S., Taniwaki M., Inazawa J.
Overexpression of PDZK1 within the 1q12-q22 amplicon is likely to be associated with drug-resistance phenotype in multiple myeloma.
Am. J. Pathol. 165:71-81(2004)

PubMed=15491288; DOI=10.1111/j.1365-2141.2004.05205.x
Otsuki T., Yata K., Takata-Tomokuni A., Hyodoh F., Miura Y., Sakaguchi H., Hatayama T., Hatada S., Tsujioka T., Sato Y., Murakami H., Sadahira Y., Sugihara T.
Expression of protein gene product 9.5 (PGP9.5)/ubiquitin-C-terminal hydrolase 1 (UCHL-1) in human myeloma cells.
Br. J. Haematol. 127:292-298(2004)

PubMed=17171682; DOI=10.1002/gcc.20404
Lombardi L., Poretti G., Mattioli M., Fabris S., Agnelli L., Bicciato S., Kwee I., Rinaldi A., Ronchetti D., Verdelli D., Lambertenghi-Deliliers G., Bertoni F., Neri A.
Molecular characterization of human multiple myeloma cell lines by integrative genomics: insights into the biology of the disease.
Genes Chromosomes Cancer 46:226-238(2007)

PubMed=18700954; DOI=10.1186/1755-8794-1-37; PMCID=PMC2531129
Ronchetti D., Lionetti M., Mosca L., Agnelli L., Andronache A., Fabris S., Lambertenghi-Deliliers G., Neri A.
An integrative genomic approach reveals coordinated expression of intronic miR-335, miR-342, and miR-561 with deregulated host genes in multiple myeloma.
BMC Med. Genomics 1:37.1-37.9(2008)

PubMed=19306352; DOI=10.1002/gcc.20660
Lionetti M., Agnelli L., Mosca L., Fabris S., Andronache A., Todoerti K., Ronchetti D., Lambertenghi-Deliliers G., Neri A.
Integrative high-resolution microarray analysis of human myeloma cell lines reveals deregulated miRNA expression associated with allelic imbalances and gene expression profiles.
Genes Chromosomes Cancer 48:521-531(2009)

PubMed=22460905; DOI=10.1038/nature11003; PMCID=PMC3320027
Barretina J.G., Caponigro G., Stransky N., Venkatesan K., Margolin A.A., Kim S., Wilson C.J., Lehar J., Kryukov G.V., Sonkin D., Reddy A., Liu M., Murray L., Berger M.F., Monahan J.E., Morais P., Meltzer J., Korejwa A., Jane-Valbuena J., Mapa F.A., Thibault J., Bric-Furlong E., Raman P., Shipway A., Engels I.H., Cheng J., Yu G.-Y.K., Yu J.-J., Aspesi P. Jr., de Silva M., Jagtap K., Jones M.D., Wang L., Hatton C., Palescandolo E., Gupta S., Mahan S., Sougnez C., Onofrio R.C., Liefeld T., MacConaill L.E., Winckler W., Reich M., Li N.-X., Mesirov J.P., Gabriel S.B., Getz G., Ardlie K., Chan V., Myer V.E., Weber B.L., Porter J., Warmuth M., Finan P., Harris J.L., Meyerson M.L., Golub T.R., Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.
The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.
Nature 483:603-607(2012)

PubMed=25485619; DOI=10.1038/nbt.3080
Klijn C., Durinck S., Stawiski E.W., Haverty P.M., Jiang Z.-S., Liu H.-B., Degenhardt J., Mayba O., Gnad F., Liu J.-F., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu M.-M., Zynda G.J., Brauer M.J., Wu T.D., Gentleman R.C., Manning G., Yauch R.L., Bourgon R., Stokoe D., Modrusan Z., Neve R.M., de Sauvage F.J., Settleman J., Seshagiri S., Zhang Z.-M.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(2015)

PubMed=25877200; DOI=10.1038/nature14397
Yu M., Selvaraj S.K., Liang-Chu M.M.Y., Aghajani S., Busse M., Yuan J., Lee G., Peale F.V., Klijn C., Bourgon R., Kaminker J.S., Neve R.M.
A resource for cell line authentication, annotation and quality control.
Nature 520:307-311(2015)

PubMed=26589293; DOI=10.1186/s13073-015-0240-5; PMCID=PMC4653878
Scholtalbers J., Boegel S., Bukur T., Byl M., Goerges S., Sorn P., Loewer M., Sahin U., Castle J.C.
TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.
Genome Med. 7:118.1-118.7(2015)

CLPUB00604
Chow S.
Targeted capture and sequencing of immunoglobulin rearrangements in multiple myeloma to enable detection of minimal residual disease.
Thesis MSc (2017); University of Toronto; Toronto; Canada

PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005; PMCID=PMC5501076
Li J., Zhao W., Akbani R., Liu W.-B., Ju Z.-L., Ling S.-Y., Vellano C.P., Roebuck P., Yu Q.-H., Eterovic A.K., Byers L.A., Davies M.A., Deng W.-L., Gopal Y.N.V., Chen G., von Euw E.M., Slamon D.J., Conklin D., Heymach J.V., Gazdar A.F., Minna J.D., Myers J.N., Lu Y.-L., Mills G.B., Liang H.
Characterization of human cancer cell lines by reverse-phase protein arrays.
Cancer Cell 31:225-239(2017)

PubMed=30285677; DOI=10.1186/s12885-018-4840-5; PMCID=PMC6167786
Tan K.-T., Ding L.-W., Sun Q.-Y., Lao Z.-T., Chien W., Ren X., Xiao J.-F., Loh X.-Y., Xu L., Lill M., Mayakonda A., Lin D.-C., Yang H.H., Koeffler H.P.
Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines.
BMC Cancer 18:940.1-940.13(2018)

PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747; PMCID=PMC6445675
Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.
An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.
Cancer Res. 79:1263-1273(2019)

PubMed=31068700; DOI=10.1038/s41586-019-1186-3; PMCID=PMC6697103
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. 3rd, Barretina J.G., Gelfand E.T., Bielski C.M., Li H.-X., Hu K., Andreev-Drakhlin A.Y., Kim J., Hess J.M., Haas B.J., Aguet F., Weir B.A., Rothberg M.V., Paolella B.R., Lawrence M.S., Akbani R., Lu Y.-L., Tiv H.L., Gokhale P.C., de Weck A., Mansour A.A., Oh C., Shih J., Hadi K., Rosen Y., Bistline J., Venkatesan K., Reddy A., Sonkin D., Liu M., Lehar J., Korn J.M., Porter D.A., Jones M.D., Golji J., Caponigro G., Taylor J.E., Dunning C.M., Creech A.L., Warren A.C., McFarland J.M., Zamanighomi M., Kauffmann A., Stransky N., Imielinski M., Maruvka Y.E., Cherniack A.D., Tsherniak A., Vazquez F., Jaffe J.D., Lane A.A., Weinstock D.M., Johannessen C.M., Morrissey M.P., Stegmeier F., Schlegel R., Hahn W.C., Getz G., Mills G.B., Boehm J.S., Golub T.R., Garraway L.A., Sellers W.R.
Next-generation characterization of the Cancer Cell Line Encyclopedia.
Nature 569:503-508(2019)

PubMed=31978347; DOI=10.1016/j.cell.2019.12.023; PMCID=PMC7339254
Nusinow D.P., Szpyt J., Ghandi M., Rose C.M., McDonald E.R. 3rd, Kalocsay M., Jane-Valbuena J., Gelfand E.T., Schweppe D.K., Jedrychowski M.P., Golji J., Porter D.A., Rejtar T., Wang Y.K., Kryukov G.V., Stegmeier F., Erickson B.K., Garraway L.A., Sellers W.R., Gygi S.P.
Quantitative proteomics of the Cancer Cell Line Encyclopedia.
Cell 180:387-402.e16(2020)

PubMed=32123307; DOI=10.1038/s41375-020-0785-1; PMCID=PMC7483300
Sarin V., Yu K., Ferguson I.D., Gugliemini O., Nix M.A., Hann B., Sirota M., Wiita A.P.
Evaluating the efficacy of multiple myeloma cell lines as models for patient tumors via transcriptomic correlation analysis.
Leukemia 34:2754-2765(2020)

Cross-references
Cell line collections (Providers) JCRB; JCRB1188
JCRB; NIHS0488 - Discontinued
Cell line databases/resources cancercelllines; CVCL_2993
Cell_Model_Passport; SIDM01573
CGH-DB; 25-1
CGH-DB; 9138-4
DepMap; ACH-000576
Biological sample resources BioSample; SAMN03472924
BioSample; SAMN10987819
Chemistry resources PharmacoDB; KMS27_769_2019
Encyclopedic resources Wikidata; Q54900176
Experimental variables resources EFO; EFO_0006616
Gene expression databases ArrayExpress; E-MTAB-2706
ArrayExpress; E-MTAB-2770
GEO; GSM143347
GEO; GSM290299
GEO; GSM887226
GEO; GSM888300
Polymorphism and mutation databases Cosmic; 2391811
IARC_TP53; 30104
LiGeA; CCLE_594
Progenetix; CVCL_2993
Sequence databases EGA; EGAS00001000610
Entry history
Entry creation04-Apr-2012
Last entry update10-Sep-2024
Version number30