Cellosaurus RPMI-8226 (CVCL_0014)

Cell line name RPMI-8226
Synonyms RPMI 8226; RPMI.8226; RPMI8226; RPMI no 8226; 8226; RPMI 8226/S; RPMI-8226S; RPMI8226/S; 8226/S; Roswell Park Memorial Institute 8226; GM02132; GM2132; GM 2132; Simpson
Accession CVCL_0014
Secondary accession CVCL_7353
Resource Identification Initiative To cite this cell line use: RPMI-8226 (RRID:CVCL_0014)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Part of: MD Anderson Cell Lines Project.
Part of: NCI60 cancer cell line panel.
Characteristics: Produces IgG lambda.
Doubling time: 60 hours (PubMed=25984343); 33.5 hours (NCI-DTP); ~60-70 hours (DSMZ).
Microsatellite instability: Stable (MSS) (Sanger).
Sequence variation: Heterozygous for EGFR p.Thr751Ile (PubMed=17088437).
Sequence variation: Heterozygous for KRAS p.Gly12Ala (PubMed=11157491; PubMed=17088437).
Sequence variation: Homozygous for TP53 p.Glu285Lys; temperature-sensitive (PubMed=17088437; PubMed=18277095).
Omics: Array-based CGH.
Omics: CNV analysis.
Omics: Deep antibody staining analysis.
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep RNAseq analysis.
Omics: DNA methylation analysis.
Omics: Fluorescence phenotype profiling.
Omics: lncRNA expression profiling.
Omics: Metabolome analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Misspelling: RPMI-8266; Occasionally.
Misspelling: RPMI-8826; In Cosmic 875867.
Derived from sampling site: Peripheral blood.
Disease Plasma cell myeloma (NCIt: C3242)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Children:
CVCL_9V32 (B6B11)CVCL_1862 (COLO 677)CVCL_1996 (COLO 775)
CVCL_3732 (KR-12)CVCL_J431 (RPMI-8226/Dox40)CVCL_J432 (RPMI-8226/Dox6)
CVCL_J434 (RPMI-8226/LR-5)CVCL_4V90 (RPMI-8226/MR4)
Sex of cell Male
Category Cancer cell line
STR profile Source(s): AddexBio; ATCC; CLS; Cosmic-CLP; DSMZ; ECACC; JCRB; KCLB; PubMed=19372543; PubMed=25877200; TKG

Markers:
AmelogeninX,Y (AddexBio; ATCC; CLS; Cosmic-CLP; DSMZ; ECACC; JCRB; KCLB; PubMed=25877200)
X (PubMed=19372543; TKG)
CSF1PO12
D13S31711
D16S5399
D18S5115,19
D19S43313.2,14
D21S1128,29
D2S133820
D3S135816,17
D5S81811,13 (AddexBio; ATCC; CLS; Cosmic-CLP; DSMZ; ECACC; JCRB; KCLB; PubMed=19372543; TKG)
13 (PubMed=25877200)
D7S8209,10
D8S117913
FGA19
Penta D2.2,11
Penta E16,17
TH018
TPOX8,11
vWA16,18 (AddexBio; ATCC; CLS; Cosmic-CLP; ECACC; JCRB; KCLB; PubMed=19372543; PubMed=25877200; TKG)
16 (DSMZ)
Web pages https://dtp.cancer.gov/discovery_development/nci-60/cell_list.htm
https://strap.nci.nih.gov/celline_detail.php?sample_id=33
http://www.proteinatlas.org/learn/cellines
http://tcpaportal.org/mclp/
Publications

PubMed=6042436; DOI=10.3181/00379727-125-32327
Matsuoka Y., Moore G.E., Yagi Y., Pressman D.
Production of free light chains of immunoglobulin by a hematopoietic cell line derived from a patient with multiple myeloma.
Proc. Soc. Exp. Biol. Med. 125:1246-1250(1967)

PubMed=5243066
Moore G.E., Kitamura H.
Cell line derived from patient with myeloma.
N. Y. State J. Med. 68:2054-2060(1968)

PubMed=18605421; DOI=10.1093/jnci/45.5.951
Ikeuchi T., Sandberg A.A.
Chromosome pulverization in virus-induced heterokaryons of mammalian cells from different species.
J. Natl. Cancer Inst. 45:951-963(1970)

PubMed=4366935
Minowada J., Nonoyama M., Moore G.E., Rauch A.M., Pagano J.S.
The presence of the Epstein-Barr viral genome in human lymphoblastoid B-cell lines and its absence in a myeloma cell line.
Cancer Res. 34:1898-1903(1974)

DOI=10.1007/978-1-4757-1647-4_11
Moore G.E.
Cell lines from humans with hematopoietic malignancies.
(In) Human tumor cells in vitro; Fogh J. (eds.); pp.299-331; Springer; New York (1975)

PubMed=3893568
Goldstein M., Hoxie J., Zembryki D., Matthews D., Levinson A.I.
Phenotypic and functional analysis of B cell lines from patients with multiple myeloma.
Blood 66:444-446(1985)

PubMed=2537114
Duperray C., Klein B., Durie B.G.M., Zhang X., Jourdan M., Poncelet P., Favier F., Vincent C., Brochier J., Lenoir G.M., Bataille R.
Phenotypic analysis of human myeloma cell lines.
Blood 73:566-572(1989)

PubMed=2041050; DOI=10.1093/jnci/83.11.757
Monks A., Scudiero D.A., Skehan P., Shoemaker R.H., Paull K., Vistica D.T., Hose C., Langley J., Cronise P., Vaigro-Wolff A., Gray-Goodrich M., Campbell H., Mayo J., Boyd M.
Feasibility of a high-flux anticancer drug screen using a diverse panel of cultured human tumor cell lines.
J. Natl. Cancer Inst. 83:757-766(1991)

PubMed=8943038; DOI=10.1073/pnas.93.24.13931
Bergsagel P.L., Chesi M., Nardini E., Brents L.A., Kirby S.L., Kuehl W.M.
Promiscuous translocations into immunoglobulin heavy chain switch regions in multiple myeloma.
Proc. Natl. Acad. Sci. U.S.A. 93:13931-13936(1996)

PubMed=9290701; DOI=10.1002/(SICI)1098-2744(199708)19:4<243::AID-MC5>3.0.CO;2-D
Jia L.-Q., Osada M., Ishioka C., Gamo M., Ikawa S., Suzuki T., Shimodaira H., Niitani T., Kudo T., Akiyama M., Kimura N., Matsuo M., Mizusawa H., Tanaka N., Koyama H., Namba M., Kanamaru R., Kuroki T.
Screening the p53 status of human cell lines using a yeast functional assay.
Mol. Carcinog. 19:243-253(1997)

PubMed=10087940; DOI=10.1016/S0165-4608(98)00157-5
Kuipers J., Vaandrager J.W., Weghuis D.O., Pearson P.L., Scheres J., Lokhorst H.M., Clevers H., Bast B.J.E.G.
Fluorescence in situ hybridization analysis shows the frequent occurrence of 14q32.3 rearrangements with involvement of immunoglobulin switch regions in myeloma cell lines.
Cancer Genet. Cytogenet. 109:99-107(1999)

PubMed=10557056; DOI=10.1038/sj.leu.2401563
Yoshida S., Nakazawa N., Iida S., Hayami Y., Sato S., Wakita A., Shimizu S., Taniwaki M., Ueda R.
Detection of MUM1/IRF4-IgH fusion in multiple myeloma.
Leukemia 13:1812-1816(1999)

PubMed=10583232; DOI=10.1046/j.1365-2141.1999.01705.x
Puthier D., Derenne S., Barille S., Moreau P., Harousseau J.-L., Bataille R., Amiot M.
Mcl-1 and Bcl-xL are co-regulated by IL-6 in human myeloma cells.
Br. J. Haematol. 107:392-395(1999)

PubMed=10700174; DOI=10.1038/73432
Ross D.T., Scherf U., Eisen M.B., Perou C.M., Rees C., Spellman P., Iyer V., Jeffrey S.S., Van de Rijn M., Waltham M., Pergamenschikov A., Lee J.C.F., Lashkari D., Shalon D., Myers T.G., Weinstein J.N., Botstein D., Brown P.O.
Systematic variation in gene expression patterns in human cancer cell lines.
Nat. Genet. 24:227-235(2000)

PubMed=10936422; DOI=10.1016/S0145-2126(99)00195-2
Drexler H.G., Matsuo Y.
Malignant hematopoietic cell lines: in vitro models for the study of multiple myeloma and plasma cell leukemia.
Leuk. Res. 24:681-703(2000)

PubMed=11157491
Chesi M., Brents L.A., Ely S.A., Bais C., Robbiani D.F., Mesri E.A., Kuehl W.M., Bergsagel P.L.
Activated fibroblast growth factor receptor 3 is an oncogene that contributes to tumor progression in multiple myeloma.
Blood 97:729-736(2001)

PubMed=15215163; DOI=10.1016/S0002-9440(10)63276-2
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=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=17088437; DOI=10.1158/1535-7163.MCT-06-0433
Ikediobi O.N., Davies H., Bignell G.R., Edkins S., Stevens C., O'Meara S., Santarius T., Avis T., Barthorpe S., Brackenbury L., Buck G., Butler A., Clements J., Cole J., Dicks E., Forbes S., Gray K., Halliday K., Harrison R., Hills K., Hinton J., Hunter C., Jenkinson A., Jones D., Kosmidou V., Lugg R., Menzies A., Mironenko T., Parker A., Perry J., Raine K., Richardson D., Shepherd R., Small A., Smith R., Solomon H., Stephens P., Teague J.W., Tofts C., Varian J., Webb T., West S., Widaa S., Yates A., Reinhold W.C., Weinstein J.N., Stratton M.R., Futreal P.A., Wooster R.
Mutation analysis of 24 known cancer genes in the NCI-60 cell line set.
Mol. Cancer Ther. 5:2606-2612(2006)

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=18277095; DOI=10.4161/cbt.7.5.5712
Berglind H., Pawitan Y., Kato S., Ishioka C., Soussi T.
Analysis of p53 mutation status in human cancer cell lines: a paradigm for cell line cross-contamination.
Cancer Biol. Ther. 7:699-708(2008)

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=18700954; DOI=10.1186/1755-8794-1-37
Ronchetti D., Lionetti M., Mosca L., Agnelli L., Andronache A., Fabris S., Deliliers G.L., 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 1:37-37(2008)

PubMed=19306352; DOI=10.1002/gcc.20660
Lionetti M., Agnelli L., Mosca L., Fabris S., Andronache A., Todoerti K., Ronchetti D., Deliliers G.L., 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=19372543; DOI=10.1158/1535-7163.MCT-08-0921
Lorenzi P.L., Reinhold W.C., Varma S., Hutchinson A.A., Pommier Y., Chanock S.J., Weinstein J.N.
DNA fingerprinting of the NCI-60 cell line panel.
Mol. Cancer Ther. 8:713-724(2009)

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=22384151; DOI=10.1371/journal.pone.0032096
Lee J.-S., Kim Y.K., Kim H.J., Hajar S., Tan Y.L., Kang N.-Y., Ng S.H., Yoon C.N., Chang Y.-T.
Identification of cancer cell-line origins using fluorescence image-based phenomic screening.
PLoS ONE 7:E32096-E32096(2012)

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.K., Yu 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., Winckler W., Reich M., Li N., 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., 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=22628656; DOI=10.1126/science.1218595
Jain M., Nilsson R., Sharma S., Madhusudhan N., Kitami T., Souza A.L., Kafri R., Kirschner M.W., Clish C.B., Mootha V.K.
Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation.
Science 336:1040-1044(2012)

PubMed=23074853; DOI=10.1134/S1990519X12050136
Turilova V.K., Smirnova T.D.
Karyotypic variability of human myeloma cell lines.
Tsitologiia 54:621-636(2012)

PubMed=23856246; DOI=10.1158/0008-5472.CAN-12-3342
Abaan O.D., Polley E.C., Davis S.R., Zhu Y.J., Bilke S., Walker R.L., Pineda M., Gindin Y., Jiang Y., Reinhold W.C., Holbeck S.L., Simon R.M., Doroshow J.H., Pommier Y., Meltzer P.S.
The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology.
Cancer Res. 73:4372-4382(2013)

PubMed=23933261; DOI=10.1016/j.celrep.2013.07.018
Moghaddas Gholami A., Hahne H., Wu Z., Auer F.J., Meng C., Wilhelm M., Kuster B.
Global proteome analysis of the NCI-60 cell line panel.
Cell Rep. 4:609-620(2013)

PubMed=24279929; DOI=10.1186/2049-3002-1-20
Dolfi S.C., Chan L.L.-Y., Qiu J., Tedeschi P.M., Bertino J.R., Hirshfield K.M., Oltvai Z.N., Vazquez A.
The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.
Cancer Metab. 1:20-20(2013)

PubMed=24670534; DOI=10.1371/journal.pone.0092047
Varma S., Pommier Y., Sunshine M., Weinstein J.N., Reinhold W.C.
High resolution copy number variation data in the NCI-60 cancer cell lines from whole genome microarrays accessible through CellMiner.
PLoS ONE 9:E92047-E92047(2014)

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., Hsiao J., Tsherniak A., Dwinell E., Aoyama S., Okamoto M., Harrington W., Gelfand E., Green T.M., Tomko M.J., Gopal S., Wong T.C., Li H., Howell S., Stransky N., Liefeld T., Jang D., Bistline J., Hill Meyers B., 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., Liu H., Degenhardt J., Mayba O., Gnad F., Liu J., Pau G., Reeder J., Cao Y., Mukhyala K., Selvaraj S.K., Yu 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.
A comprehensive transcriptional portrait of human cancer cell lines.
Nat. Biotechnol. 33:306-312(2015)

PubMed=27377824; DOI=10.1038/sdata.2016.52
Mestdagh P., Lefever S., Volders P.-J., Derveaux S., Hellemans J., Vandesompele J.
Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR.
Sci. Data 3:160052-160052(2016)

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., Egan R.K., Liu Q., Mironenko T., Mitropoulos X., Richardson L., Wang J., Zhang T., 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)

PubMed=27807467; DOI=10.1186/s13100-016-0078-4
Zampella J.G., Rodic N., Yang W.R., Huang C.R.L., Welch J., Gnanakkan V.P., Cornish T.C., Boeke J.D., Burns K.H.
A map of mobile DNA insertions in the NCI-60 human cancer cell panel.
Mob. DNA 7:20-20(2016)

PubMed=28196595; DOI=10.1016/j.ccell.2017.01.005
Li J., Zhao W., Akbani R., Liu W., Ju Z., Ling S., Vellano C.P., Roebuck P., Yu Q., Eterovic A.K., Byers L.A., Davies M.A., Deng W., 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., Mills G.B., Liang H.
Characterization of human cancer cell lines by reverse-phase protein arrays.
Cancer Cell 31:225-239(2017)

Cross-references
Cell line collections AddexBio; C0003002/62
ATCC; CCL-155
ATCC; CRM-CCL-155
BCRC; 60384
CLS; 300431/p771_RPMI_8226
Coriell; GM02132
DSMZ; ACC-402
ECACC; 87012702
IFO; IFO50013
IZSLER; BS TCL 92
JCRB; JCRB0034
KCLB; 10155
NCBI_Iran; C210
NCI-DTP; RPMI-8226
RCB; RCB3010
TKG; TKG 0243
Cell line databases/resources CLDB; cl4182
CLDB; cl4183
CLDB; cl4184
CLDB; cl5252
CCLE; RPMI8226_HAEMATOPOIETIC_AND_LYMPHOID_TISSUE
CCRID; 3111C0001CCC000083
CGH-DB; 9162-4
Cosmic-CLP; 905964
GDSC; 905964
IGRhCellID; RPMI8226
LINCS_LDP; LCL-2049
SKY/M-FISH/CGH; 2743
Ontologies BTO; BTO:0000726
CLO; CLO_0008873
CLO; CLO_0031845
EFO; EFO_0002322
MCCL; MCC:0000406
Biological sample resources BioSample; SAMN03471458
BioSample; SAMN03472934
BioSample; SAMN03473581
ENCODE; ENCBS457ZNO
ENCODE; ENCBS604KZU
Chemistry resources ChEMBL-Cells; CHEMBL3307732
ChEMBL-Targets; CHEMBL614882
Gene expression databases GEO; GSM2135
GEO; GSM50198
GEO; GSM50261
GEO; GSM143340
GEO; GSM290304
GEO; GSM621590
GEO; GSM750813
GEO; GSM799349
GEO; GSM799412
GEO; GSM887548
GEO; GSM888631
GEO; GSM1153419
GEO; GSM1181289
GEO; GSM1181334
GEO; GSM1199922
GEO; GSM1199923
GEO; GSM1199924
GEO; GSM1199925
GEO; GSM1199926
GEO; GSM1199927
GEO; GSM1374855
GEO; GSM1666389
GEO; GSM1670389
GEO; GSM2124680
Polymorphism and mutation databases Cosmic; 720773
Cosmic; 724856
Cosmic; 742952
Cosmic; 759915
Cosmic; 760397
Cosmic; 875867
Cosmic; 886084
Cosmic; 888018
Cosmic; 897452
Cosmic; 905964
Cosmic; 919145
Cosmic; 974250
Cosmic; 991554
Cosmic; 999791
Cosmic; 1044255
Cosmic; 1092628
Cosmic; 1139509
Cosmic; 1139639
Cosmic; 1175858
Cosmic; 1305340
Cosmic; 1312326
Cosmic; 1762461
Cosmic; 1998470
Cosmic; 2081405
Cosmic; 2367260
Cosmic; 2391801
Proteomic databases PRIDE; PXD001276