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Cellosaurus HEY A8 (CVCL_8878)

[Text version]

Cell line name HEY A8
Synonyms HEY-A8; Hey-A8; Hey A8; HEYA8; HeyA8
Accession CVCL_8878
Resource Identification Initiative To cite this cell line use: HEY A8 (RRID:CVCL_8878)
Comments Part of: Cancer Cell Line Encyclopedia (CCLE) project.
Part of: MD Anderson Cell Lines Project.
Doubling time: 16 hours (PubMed=25984343).
Omics: Deep exome analysis.
Omics: Deep proteome analysis.
Omics: Deep quantitative proteome analysis.
Omics: Deep RNAseq analysis.
Omics: shRNA library screening.
Omics: SNP array analysis.
Omics: Protein expression by reverse-phase protein arrays.
Omics: Transcriptome analysis.
Sequence variations Homozygous for BRAF p.Gly464Glu (c.1391G>A) (CCLE).
Heterozygous for KRAS p.Gly12Asp (c.35G>A) (CCLE).
Genome ancestry Source: PubMed=30894373

Origin% genome
African1.54
Native American0
East Asian, North2.65
East Asian, South0
South Asian0
European, North62.34
European, South33.46
Disease High grade ovarian serous adenocarcinoma (NCIt: C105555)
Species of origin Homo sapiens (Human) (NCBI Taxonomy: 9606)
Hierarchy Parent: CVCL_0297 (HEY)
Children:
CVCL_IW34 (HeyA8-IP)CVCL_8879 (HeyA8-MDR)
Sex of cell Female
Category Cancer cell line
STR profile Source(s): PubMed=22710073

Markers:
AmelogeninX
CSF1PO10,11
D2S133824,25
D3S135816
D5S81811,12
D7S82012
D8S117913,14
D13S31711
D16S5398,12
D18S5115
D19S43313,14
D21S1130
FGA20,21
TH018,9.3
TPOX11
vWA16,17

Run an STR similarity search on this cell line
Web pages http://tcpaportal.org/mclp/
Publications

PubMed=2394835; DOI=10.1172/JCI114784
Mills G.B., May C., Hill M., Campbell S., Shaw P., Marks A.
Ascitic fluid from human ovarian cancer patients contains growth factors necessary for intraperitoneal growth of human ovarian adenocarcinoma cells.
J. Clin. Invest. 86:851-855(1990)

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=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=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=27235858; DOI=10.1016/j.ygyno.2016.05.028
Hernandez L., Kim M.K., Lyle L.T., Bunch K.P., House C.D., Ning F., Noonan A.M., Annunziata C.M.
Characterization of ovarian cancer cell lines as in vivo models for preclinical studies.
Gynecol. Oncol. 142:332-340(2016)

PubMed=27561551; DOI=10.1038/ncomms12645
Coscia F., Watters K.M., Curtis M., Eckert M.A., Chiang C.Y., Tyanova S., Montag A., Lastra R.R., Lengyel E., Mann M.
Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status.
Nat. Commun. 7:12645-12645(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)

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=31978347; DOI=10.1016/j.cell.2019.12.023
Nusinow D.P., Szpyt J., Ghandi M., Rose C.M., McDonald E.R. III, Kalocsay M., Jane-Valbuena J., Gelfand E., Schweppe D.K., Jedrychowski M., Golji J., Porter D.A., Rejtar T., Wang Y.K., Kryukov G.V., Stegmeier F., Erickson B.K., Garraway L.A., Sellers W.R., Gygi S.P.
Quantitative proteomics of the Cancer Cell Line Encyclopedia.
Cell 180:387-402(2020)

Cross-references
Cell line databases/resources CCLE; HEYA8_OVARY
Cell_Model_Passport; SIDM01215
DepMap; ACH-000542
Biological sample resources BioSample; SAMN10988247
Chemistry resources PharmacoDB; HeyA8_542_2019
Gene expression databases ArrayExpress; E-MTAB-2770
GEO; GSM851918
GEO; GSM887080
GEO; GSM888150
Other Wikidata; Q54883213
Polymorphism and mutation databases Cosmic; 1305329
IARC_TP53; 30038
LiGeA; CCLE_702
Proteomic databases PRIDE; PXD003668
Entry history
Entry creation06-Jun-2012
Last entry updated12-Mar-2020
Version number17