Cellosaurus OVMANA (CVCL_3111)

Cell line name OVMANA
Accession CVCL_3111
Resource Identification Initiative To cite this cell line use: OVMANA (RRID:CVCL_3111)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Part of: MD Anderson Cell Lines Project.
Doubling time: 70 hours (PubMed=25984343).
Omics: Deep RNAseq analysis.
Omics: GPI-anchored proteins analysis by proteomics.
Omics: Protein expression by reverse-phase protein arrays.
Omics: SNP array analysis.
Omics: Transcriptome analysis.
Disease Ovarian clear cell adenocarcinoma (NCIt: C40078)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Sex of cell Female
Category Cancer cell line
STR profile Source(s): JCRB

Markers:
AmelogeninX
CSF1PO12,13
D13S3178,9
D16S53910
D5S81813
D7S82010,11
TH017,9
TPOX8
vWA15,16
Web pages http://tcpaportal.org/mclp/
Publications

PubMed=9328139; DOI=10.1038/bjc.1997.471
Yanagibashi T., Gorai I., Nakazawa T., Miyagi E., Hirahara F., Kitamura H., Minaguchi H.
Complexity of expression of the intermediate filaments of six new human ovarian carcinoma cell lines: new expression of cytokeratin 20.
Br. J. Cancer 76:829-835(1997)

PubMed=15677628; DOI=10.1093/carcin/bgi032
Gorringe K.L., Chin S.-F., Pharoah P., Staines J.M., Oliveira C., Edwards P.A.W., Caldas C.
Evidence that both genetic instability and selection contribute to the accumulation of chromosome alterations in cancer.
Carcinogenesis 26:923-930(2005)

PubMed=17671176; DOI=10.1158/0008-5472.CAN-06-4567
Kikuchi R., Tsuda H., Kanai Y., Kasamatsu T., Sengoku K., Hirohashi S., Inazawa J., Imoto I.
Promoter hypermethylation contributes to frequent inactivation of a putative conditional tumor suppressor gene connective tissue growth factor in ovarian cancer.
Cancer Res. 67:7095-7105(2007)

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=22710073; DOI=10.1016/j.ygyno.2012.06.017
Korch C., Spillman M.A., Jackson T.A., Jacobsen B.M., Murphy S.K., Lessey B.A., Jordan V.C., Bradford A.P.
DNA profiling analysis of endometrial and ovarian cell lines reveals misidentification, redundancy and contamination.
Gynecol. Oncol. 127:241-248(2012)

PubMed=23839242; DOI=10.1038/ncomms3126
Domcke S., Sinha R., Levine D.A., Sander C., Schultz N.
Evaluating cell lines as tumour models by comparison of genomic profiles.
Nat. Commun. 4:2126-2126(2013)

PubMed=24023729; DOI=10.1371/journal.pone.0072162
Anglesio M.S., Wiegand K.C., Melnyk N., Chow C., Salamanca C.M., Prentice L.M., Senz J., Yang W., Spillman M.A., Cochrane D.R., Shumansky K., Shah S.P., Kalloger S.E., Huntsman D.G.
Type-specific cell line models for type-specific ovarian cancer research.
PLoS ONE 8:E72162-E72162(2013)

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=26972028; DOI=10.1016/j.jprot.2016.03.008
Masuishi Y., Kimura Y., Arakawa N., Hirano H.
Identification of glycosylphosphatidylinositol-anchored proteins and omega-sites using TiO2-based affinity purification followed by hydrogen fluoride treatment.
J. Proteomics 139:77-83(2016)

PubMed=27141528; DOI=10.1016/j.dib.2016.04.001
Masuishi Y., Kimura Y., Arakawa N., Hirano H.
Data for identification of GPI-anchored peptides and omega-sites in cancer cell lines.
Data Brief 7:1302-1305(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 JCRB; JCRB1045
JCRB; NIHS0298 - Discontinued
JCRB; NIHS0340 - Discontinued
Cell line databases/resources CCLE; OVMANA_OVARY
CGH-DB; 337-2
Ontologies BTO; BTO:0003500
EFO; EFO_0006726
Biological sample resources BioSample; SAMN03472488
Gene expression databases GEO; GSM459731
GEO; GSM659397
GEO; GSM887488
GEO; GSM888570
GEO; GSM1176281
Polymorphism and mutation databases Cosmic; 1223317
Cosmic; 1305330
Cosmic; 1328066
Cosmic; 1434894
Cosmic; 1708384
Cosmic; 2074247
Proteomic databases PRIDE; PXD003105