MM1.S人骨髓瘤细胞

价 格:¥1800

期 货:现货(冻存管发2支)

保藏中心:BTCC

资源编号:BTCC-1112

产地:中国

套 餐:

T25/复苏细胞 无血清冻存液 专用完全培养基500ml 南美特级胎牛血清500ml

详细资料说明书下载质检报告(COA)

Cell line nameMM1.S
SynonymsMM.1S; MM1-S; MM-1S; MM1S
AccessionBTCC-1112
Resource Identification InitiativeTo cite this cell line use: MM1.S (BTCC-1112)
CommentsPart of: Cancer Dependency Map project (DepMap) (includes Cancer Cell Line Encyclopedia - CCLE).
Part of: COSMIC cell lines project.
Part of: MD Anderson Cell Lines Project.
Population: African American.
Characteristics: Produces IgA lambda.
Characteristics: Sensitive to dexamethasone.
Doubling time: 80 hours (PubMed=25984343).
Microsatellite instability: Instable (MSI-low) (Sanger).
Omics: Array-based CGH.
Omics: Deep exome analysis.
Omics: Deep quantitative proteome analysis.
Omics: DNA methylation analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: shRNA library screening.
Omics: SNP array analysis.
Omics: Transcriptome analysis by microarray.
Omics: Transcriptome analysis by RNAseq.
Derived from site: In situ; Peripheral blood; UBERON=UBERON_0000178.
Sequence variations
  • Mutation; HGNC; 6407; KRAS; Simple; p.Gly12Ala (c.35G>C); ClinVar=VCV000045122; Zygosity=Heterozygous (PubMed=21173094; Cosmic-CLP; DepMap).
  • Mutation; HGNC; 12033; TRAF3; Simple; p.Val536_Asn545delValPheValAlaGlnThrValLeuGluAsninsAsp (c.1604-1630delTCTTTGTGGCCCAAACTGTTCTAGAAA); Zygosity=Homozygous (PubMed=17692805).
HLA typingSource: PubMed=25688540
Class I
HLA-AA*23,24
HLA-BB*18,42
HLA-CC*12,17

Source: PubMed=26589293
Class I
HLA-AA*23:01,24:02
HLA-BB*18:01,42:01
HLA-CC*12:03,17:01
Genome ancestrySource: PubMed=30894373

Origin% genome


African88.68
Native American0
East Asian, North4.01
East Asian, South0
South Asian0.43
European, North0
European, South6.87
DiseasePlasma cell myeloma (NCIt: C3242)
Multiple myeloma (ORDO: Orphanet_29073)
Species of originHomo sapiens (Human) (NCBI Taxonomy: 9606)
HierarchyParent: CVCL_5801 (MM.1)
Children:

CVCL_B7F7 (MM.1S-luc)
Sex of cellFemale
Age at sampling45Y
CategoryCancer cell line
STR profileSource(s): ATCC; Cosmic-CLP; Genomics_Center_BCF_Technion; PubMed=25877200

Markers:
AmelogeninX
CSF1PO9,14
D1S165611,12
D2S44111
D2S133821,22
D3S135816,17
D5S8188,12
D7S82010,11
D8S117914
D10S124812,15
D12S39117,24
D13S31713
D16S53912
D18S5111,16
D19S43313
D21S1129,30
D22S104510,11
FGA20,24
Penta D2.2,9
Penta E13,15
TH017,8
TPOX8
vWA15,17

Run an STR similarity search on this cell line
Web pageshttps://www.keatslab.org/myeloma-cell-lines/hmcl-characteristics
https://tcpaportal.org/mclp/
https://www.atcc.org/en/support/technical-support/faqs/morphology-of-item-mm-1s-atcc-crl-2974
Publications

PubMed=12691914; DOI=10.1016/S0301-472X(03)00023-7
Greenstein S., Krett N.L., Kurosawa Y., Ma C.-G., Chauhan D., Hideshima T., Anderson K.C., Rosen S.T.
Characterization of the MM.1 human multiple myeloma (MM) cell lines: a model system to elucidate the characteristics, behavior, and signaling of steroid-sensitive and -resistant MM cells.
Exp. Hematol. 31:271-282(2003)

PubMed=14760100; DOI=10.1158/1078-0432.ccr-0793-03
Shammas M.A., Shmookler Reis R.J., Li C., Koley H., Hurley L.H., Anderson K.C., Munshi N.C.
Telomerase inhibition and cell growth arrest after telomestatin treatment in multiple myeloma.
Clin. Cancer Res. 10:770-776(2004)

PubMed=16956823
Bataille R., Jego G., Robillard N., Barille-Nion S., Harousseau J.-L., Moreau P., Amiot M., Pellat-Deceunynck C.
The phenotype of normal, reactive and malignant plasma cells Identification of 'many and multiple myelomas' and of new targets for myeloma therapy.
Haematologica 91:1234-1240(2006)

PubMed=17692805; DOI=10.1016/j.ccr.2007.07.003
Keats J.J., Fonseca R., Chesi M., Schop R., Baker A., Chng W.-J., Van Wier S., Tiedemann R., Shi C.-X., Sebag M., Braggio E., Henry T., Zhu Y.-X., Fogle H., Price-Troska T.L., Ahmann G.J., Mancini C., Brents L.A., Kumar S.K., Greipp P., Dispenzieri A., Bryant B., Mulligan G., Bruhn L., Barrett M.T., Valdez R., Trent J.M., Stewart A.K., Carpten J., Bergsagel P.L.
Promiscuous mutations activate the noncanonical NF-kappaB pathway in multiple myeloma.
Cancer Cell 12:131-144(2007)

PubMed=18647998; DOI=10.1093/jncimonographs/lgn011
Dib A., Gabrea A., Glebov O.K., Bergsagel P.L., Kuehl W.M.
Characterization of MYC translocations in multiple myeloma cell lines.
J. Natl. Cancer Inst. Monogr. 39:25-31(2008)

PubMed=21173094; DOI=10.3324/haematol.2010.033456
Moreaux J., Klein B., Bataille R., Descamps G., Maiga S., Hose D., Goldschmidt H., Jauch A., Reme T., Jourdan M., Amiot M., Pellat-Deceunynck C.
A high-risk signature for patients with multiple myeloma established from the molecular classification of human myeloma cell lines.
Haematologica 96:574-582(2011)

PubMed=22460905; DOI=10.1038/nature11003
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=25984343; DOI=10.1038/sdata.2014.35
Cowley G.S., Weir B.A., Vazquez F., Tamayo P., Scott J.A., Rusin S., East-Seletsky A., Ali L.D., Gerath W.F.J., Pantel S.E., Lizotte P.H., Jiang G.-Z., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E.T., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H.-B., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Meyers B.H., Armstrong S.A., Anderson K.C., Stegmaier K., Reich M., Pellman D., Boehm J.S., Mesirov J.P., Golub T.R., Root D.E., Hahn W.C.
Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.
Sci. Data 1:140035-140035(2014)

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=25688540; DOI=10.1002/cyto.a.22643
Maiga S., Brosseau C., Descamps G., Dousset C., Gomez-Bougie P., Chiron D., Menoret E., Kervoelen C., Vie H., Cesbron A., Moreau-Aubry A., Amiot M., Pellat-Deceunynck C.
A simple flow cytometry-based barcode for routine authentication of multiple myeloma and mantle cell lymphoma cell lines.
Cytometry A 87:285-288(2015)

PubMed=26589293; DOI=10.1186/s13073-015-0240-5
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)

PubMed=27397505; DOI=10.1016/j.cell.2016.06.017
Iorio F., Knijnenburg T.A., Vis D.J., Bignell G.R., Menden M.P., Schubert M., Aben N., Goncalves E., Barthorpe S., Lightfoot H., Cokelaer T., Greninger P., van Dyk E., Chang H., de Silva H., Heyn H., Deng X.-M., Egan R.K., Liu Q.-S., Mironenko T., Mitropoulos X., Richardson L., Wang J.-H., Zhang T.-H., Moran S., Sayols S., Soleimani M., Tamborero D., Lopez-Bigas N., Ross-Macdonald P., Esteller M., Gray N.S., Haber D.A., Stratton M.R., Benes C.H., Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.
A landscape of pharmacogenomic interactions in cancer.
Cell 166:740-754(2016)

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, Canada

PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005
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
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., Koeffler H.P.
Profiling the B/T cell receptor repertoire of lymphocyte derived cell lines.
BMC Cancer 18:940.1-940.13(2018)

PubMed=30545397; DOI=10.1186/s13045-018-0679-0
Tessoulin B., Moreau-Aubry A., Descamps G., Gomez-Bougie P., Maiga S., Gaignard A., Chiron D., Menoret E., Le Gouill S., Moreau P., Amiot M., Pellat-Deceunynck C.
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.
J. Hematol. Oncol. 11:137.1-137.13(2018)

PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747
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
Ghandi M., Huang F.W., Jane-Valbuena J., Kryukov G.V., Lo C.C., McDonald E.R. III, Barretina J.G., Gelfand E.T., Bielski C.M., Li H., 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., 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=32123307; DOI=10.1038/s41375-020-0785-1
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)

PubMed=35839778; DOI=10.1016/j.ccell.2022.06.010
Goncalves E., Poulos R.C., Cai Z.-X., Barthorpe S., Manda S.S., Lucas N., Beck A., Bucio-Noble D., Dausmann M., Hall C., Hecker M., Koh J., Lightfoot H., Mahboob S., Mali I., Morris J., Richardson L., Seneviratne A.J., Shepherd R., Sykes E., Thomas F., Valentini S., Williams S.G., Wu Y.-X., Xavier D., MacKenzie K.L., Hains P.G., Tully B., Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.
Pan-cancer proteomic map of 949 human cell lines.
Cancer Cell 40:835-849.e8(2022)

Cross-references
Cell line databases/resourcesCLO; CLO_0037203
CCRID; 1101HUM-PUMC000680
CCRID; 3101HUMSCSP5017
Cell_Model_Passport; SIDM01265
Cosmic-CLP; 1659818
DepMap; ACH-000763
Lonza; 168
Anatomy/cell type resourcesBTO; BTO:0003933
Biological sample resourcesBioSample; SAMN03471684
BioSample; SAMN10988254
ENCODE; ENCBS205VYW
ENCODE; ENCBS241TLI
ENCODE; ENCBS299YQN
ENCODE; ENCBS523NFL
ENCODE; ENCBS981ZAE
Cell line collections (Providers)ATCC; CRL-2974
IZSLER; BS TCL 237
Chemistry resourcesChEMBL-Cells; CHEMBL4295490
ChEMBL-Targets; CHEMBL4296471
GDSC; 1659818
PharmacoDB; MM1S_944_2019
PubChem_Cell_line; CVCL_8792
Encyclopedic resourcesWikidata; Q54906038
Experimental variables resourcesEFO; EFO_0005724
Gene expression databasesArrayExpress; E-MTAB-2706
ArrayExpress; E-MTAB-2770
ArrayExpress; E-MTAB-3610
ArrayExpress; E-TABM-1088
GEO; GSM562814
GEO; GSM887328
GEO; GSM888404
GEO; GSM1374685
GEO; GSM1666388
GEO; GSM1670118
Polymorphism and mutation databasesCosmic; 1424218
Cosmic; 1483077
Cosmic; 1762460
Cosmic; 1889512
Cosmic; 2081430
Cosmic; 2391805
Cosmic; 2809756
IARC_TP53; 28513
LiGeA; CCLE_132
Progenetix; CVCL_8792
Proteomic databasesPRIDE; PXD021265
PRIDE; PXD030304
Sequence databasesEGA; EGAS00001000610
EGA; EGAS00001000978

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