Cellosaurus LP-1 (CVCL_0012)

Cell line name LP-1
Synonyms LP1
Accession CVCL_0012
Resource Identification Initiative To cite this cell line use: LP-1 (RRID:CVCL_0012)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Part of: MD Anderson Cell Lines Project.
Characteristics: Produces IgG lambda.
Doubling time: 50 hours (PubMed=2784066); 48 hours (PubMed=25984343); 35-80 hours, depending on cell density (DSMZ).
Microsatellite instability: Stable (MSS) (Sanger).
Sequence variation: FGFR3 p.Phe384Leu (PubMed=11157491).
Omics: Deep antibody staining analysis.
Omics: Deep exome analysis.
Omics: Deep RNAseq analysis.
Omics: DNA methylation analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Derived from sampling site: Peripheral blood.
Disease Plasma cell myeloma (NCIt: C3242)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Female
Category Cancer cell line
STR profile Source(s): Cosmic-CLP; DSMZ; PubMed=25877200

Markers:
AmelogeninX
CSF1PO11,12
D13S31712
D16S53911,12
D18S5118
D21S1130,31
D3S135816,18
D5S81811
D7S82011,12
D8S117913,15
FGA20,21
Penta D12
Penta E10,11
TH017,8
TPOX11
vWA17
Web pages http://www.proteinatlas.org/learn/cellines
http://tcpaportal.org/mclp/
Publications

PubMed=2784066
Pegoraro L., Malavasi F., Bellone G., Massaia M., Boccadoro M., Saglio G., Guerrasio A., Benetton G., Lombardi L., Coda R., Avanzi G.C.
The human myeloma cell line LP-1: a versatile model in which to study early plasma-cell differentiation and c-myc activation.
Blood 73:1020-1027(1989)

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=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=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=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=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=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.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=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=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=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; C0003006/55
DSMZ; ACC-41
Cell line databases/resources CLDB; cl3252
CCLE; LP1_HAEMATOPOIETIC_AND_LYMPHOID_TISSUE
Cosmic-CLP; 907791
GDSC; 907791
Lonza; 129
LINCS_LDP; LCL-2046
Ontologies BTO; BTO:0005912
CLO; CLO_0007379
EFO; EFO_0003055
Biological sample resources BioSample; SAMN03472929
Chemistry resources ChEMBL-Cells; CHEMBL3308171
ChEMBL-Targets; CHEMBL2366066
Gene expression databases GEO; GSM143335
GEO; GSM290302
GEO; GSM887276
GEO; GSM888351
GEO; GSM1374631
GEO; GSM1670057
Polymorphism and mutation databases Cosmic; 720763
Cosmic; 759910
Cosmic; 907791
Cosmic; 2081397
Cosmic; 2367290
Cosmic; 2391810