HEY A8Homo sapiens (Human)Cancer cell line

Also known as: Heya8, HeyA8, HEYA8, Hey A8, Hey-A8, HEY-A8

AI Summary

No AI-generated summary available for this cell line.

Basic Information

Database IDCVCL_8878
SpeciesHomo sapiens (Human)
Tissue SourceOvary[UBERON:UBERON_0000992]

Donor Information

Age CategoryUnknown
SexFemale

Disease Information

DiseaseHigh grade ovarian serous adenocarcinoma
LineageOvary/Fallopian Tube
SubtypeHigh-Grade Serous Ovarian Cancer
OncoTree CodeHGSOC

DepMap Information

Source TypeAcademic lab
Source IDACH-000542_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleKRASp.Gly12Asp (c.35G>A)Unspecified-PubMed=29786757
MutationSimpleBRAFp.Gly464Glu (c.1391G>A)Unspecified-PubMed=12068308

Haplotype Information (STR Profile)

Short Tandem Repeat (STR) profile for cell line authentication.

Amelogenin
X
CSF1PO
10,11
D13S317
11
D16S539
8,12
D18S51
15
D19S433
13,14
D21S11
30
D2S1338
24,25
D3S1358
16
D5S818
11,12
D7S820
12
D8S1179
13,14
FGA
20,21
TH01
8,9.3
TPOX
11
vWA
16,17
Gene Expression Profile
Gene expression levels and statistical distribution
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Full DepMap dataset with combined data across cell lines

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Publications

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

An interactive resource to probe genetic diversity and estimated ancestry in cancer cell lines.

Dutil J., Chen Z.-H., Monteiro A.N.A., Teer J.K., Eschrich S.A.

Cancer Res. 79:1263-1273(2019).

Characterization of human cancer cell lines by reverse-phase protein arrays.

Liang H.

Cancer Cell 31:225-239(2017).

Integrative proteomic profiling of ovarian cancer cell lines reveals precursor cell associated proteins and functional status.

Tyanova S., Montag A., Lastra R.R., Lengyel E., Mann M.

Nat. Commun. 7:12645.1-12645.14(2016).

Characterization of ovarian cancer cell lines as in vivo models for preclinical studies.

Noonan A.M., Annunziata C.M.

Gynecol. Oncol. 142:332-340(2016).

Parallel genome-scale loss of function screens in 216 cancer cell lines for the identification of context-specific genetic dependencies.

Golub T.R., Root D.E., Hahn W.C.

Sci. Data 1:140035-140035(2014).

Evaluating cell lines as tumour models by comparison of genomic profiles.

Domcke S., Sinha R., Levine D.A., Sander C., Schultz N.

Nat. Commun. 4:2126.1-2126.10(2013).

DNA profiling analysis of endometrial and ovarian cell lines reveals misidentification, redundancy and contamination.

Lessey B.A., Jordan V.C., Bradford A.P.

Gynecol. Oncol. 127:241-248(2012).

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Morrissey M.P., Sellers W.R., Schlegel R., Garraway L.A.

Nature 483:603-607(2012).

Ascitic fluid from human ovarian cancer patients contains growth factors necessary for intraperitoneal growth of human ovarian adenocarcinoma cells.

Mills G.B., May C., Hill M., Campbell S., Shaw P., Marks A.

J. Clin. Invest. 86:851-855(1990).

Web Resources