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Cellosaurus LAMA-84 (CVCL_0388)

[Text version]

Cell line name LAMA-84
Synonyms Lama-84; LAMA84; Lama84
Accession CVCL_0388
Resource Identification Initiative To cite this cell line use: LAMA-84 (RRID:CVCL_0388)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Part of: COSMIC cell lines project.
Part of: LL-100 blood cancer cell line panel.
Doubling time: 48 hours (PubMed=3476310); 36 hours (PubMed=25984343); ~50 hours (DSMZ).
Microsatellite instability: Stable (MSS) (Sanger).
Omics: Deep exome analysis.
Omics: Deep RNAseq analysis.
Omics: DNA methylation analysis.
Omics: shRNA library screening.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Derived from sampling site: Peripheral blood.
Sequence variations BCR-ABL1 gene fusion (PubMed=15843827).
Homozygous for TP53 p.Lys319Ter (c.955A>T) (Cosmic-CLP).
Genome ancestry Source: PubMed=30894373

Origin% genome
African14.08
Native American0
East Asian, North1.13
East Asian, South1.46
South Asian1.64
European, North29.64
European, South52.05
Disease Chronic myelogenous leukemia, BCR-ABL1 positive (NCIt: C3174)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Children:
CVCL_1826 (LAMA-87)CVCL_9540 (LAMA-88)CVCL_DP57 (LAMA84-r)
CVCL_DP54 (LAMA84-rn)CVCL_UE08 (LAMA84-s)CVCL_AE17 (LAMA84R)
Sex of cell Female
Age at sampling 29Y
Category Cancer cell line
STR profile Source(s): CLS; Cosmic-CLP; DSMZ

Markers:
AmelogeninX
CSF1PO11,12,13 (CLS)
11,12 (Cosmic-CLP)
8,11,12 (DSMZ)
D1S165615,15.3
D2S133817
D3S135814,17
D5S81811,12
D6S104310,20
D7S82011
D8S117910,15
D12S39118,24
D13S31711
D16S53911
D18S5113
D19S43313
D21S1129,30,31
FGA21,22
Penta D10
Penta E7
TH016,7
TPOX10
vWA14,17

Run an STR similarity search on this cell line
Publications

PubMed=3476310
Seigneurin D., Champelovier P., Mouchiroud G., Berthier R., Leroux D., Prenant M., McGregor J., Starck J., Morle F., Micouin C., Pietrantuono A., Kolodie L.
Human chronic myeloid leukemic cell line with positive Philadelphia chromosome exhibits megakaryocytic and erythroid characteristics.
Exp. Hematol. 15:822-832(1987)

PubMed=7996872; DOI=10.1016/0145-2126(94)90102-3
Champelovier P., Valiron O., Michele J., Dominique L., Seigneurin D.
Selection and characterization of an erythroeosinophilic subclone (LAMA-87) and an eosinophilic subclone (LAMA-88) from the multipotential cell line LAMA-84.
Leuk. Res. 18:903-918(1994)

PubMed=8693292; DOI=10.1046/j.1365-3083.1996.d01-84.x
Blom T., Nilsson G., Sundstrom C., Nilsson K., Hellman L.
Characterization of a human basophil-like cell line (LAMA-84).
Scand. J. Immunol. 44:54-61(1996)

PubMed=9257809
Champelovier P., Fixe P., Valiron O., Feige J.-J., Praloran V., Seigneurin D.
Proliferation of LAMA-84 and LAMA-87 cell lines is modulated by autocrine loops involving M-CSF and TGF-beta.
Exp. Hematol. 25:958-965(1997)

DOI=10.1016/B978-0-12-221970-2.50457-5
Drexler H.G.
The leukemia-lymphoma cell line factsbook.
(In) ISBN 9780122219702; pp.1-733; Academic Press; London (2001)

PubMed=15843827; DOI=10.1038/sj.leu.2403749
Andersson A., Eden P., Lindgren D., Nilsson J., Lassen C., Heldrup J., Fontes M., Borg A., Mitelman F., Johansson B., Hoglund M., Fioretos T.
Gene expression profiling of leukemic cell lines reveals conserved molecular signatures among subtypes with specific genetic aberrations.
Leukemia 19:1042-1050(2005)

PubMed=16408098; DOI=10.1038/sj.leu.2404081
Quentmeier H., MacLeod R.A.F., Zaborski M., Drexler H.G.
JAK2 V617F tyrosine kinase mutation in cell lines derived from myeloproliferative disorders.
Leukemia 20:471-476(2006)

PubMed=20164919; DOI=10.1038/nature08768
Bignell G.R., Greenman C.D., Davies H., Butler A.P., Edkins S., Andrews J.M., Buck G., Chen L., Beare D., Latimer C., Widaa S., Hinton J., Fahey C., Fu B., Swamy S., Dalgliesh G.L., Teh B.T., Deloukas P., Yang F., Campbell P.J., Futreal P.A., Stratton M.R.
Signatures of mutation and selection in the cancer genome.
Nature 463:893-898(2010)

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.E., 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=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=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 18:940-940(2018)

PubMed=30894373; DOI=10.1158/0008-5472.CAN-18-2747
Dutil J., Chen Z., Monteiro A.N., 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., 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=31160637; DOI=10.1038/s41598-019-44491-x
Quentmeier H., Pommerenke C., Dirks W.G., Eberth S., Koeppel M., MacLeod R.A.F., Nagel S., Steube K., Uphoff C.C., Drexler H.G.
The LL-100 panel: 100 cell lines for blood cancer studies.
Sci. Rep. 9:8218-8218(2019)

Cross-references
Cell line collections CLS; 300261/p2498_Lama-84
DSMZ; ACC-168
Cell line databases/resources CLDB; cl3168
CCLE; LAMA84_HAEMATOPOIETIC_AND_LYMPHOID_TISSUE
Cell_Model_Passport; SIDM00346
Cosmic-CLP; 907783
DepMap; ACH-000301
GDSC; 907783
LINCS_LDP; LCL-1109
Lonza; 961
Ontologies BTO; BTO:0004465
CLO; CLO_0007238
MCCL; MCC:0000283
Biological sample resources BioSample; SAMN03473363
BioSample; SAMN10988484
Chemistry resources ChEMBL-Cells; CHEMBL3308267
ChEMBL-Targets; CHEMBL2366090
PharmacoDB; LAMA84_818_2019
Gene expression databases ArrayExpress; E-MTAB-2770
ArrayExpress; E-MTAB-3610
ArrayExpress; E-MTAB-7721
ArrayExpress; E-MTAB-7722
GEO; GSM887262
GEO; GSM888337
GEO; GSM1670031
Other Wikidata; Q54901914
Polymorphism and mutation databases Cosmic; 787500
Cosmic; 907783
Cosmic; 1012081
Cosmic; 1019834
Cosmic; 1026569
Cosmic; 1078729
IARC_TP53; 21457
LiGeA; CCLE_403
Entry history
Entry creation04-Apr-2012
Last entry updated06-Sep-2019
Version number27