COV644Homo sapiens (Human)Cancer cell line

Also known as: COV-644

🤖 AI SummaryBased on 7 publications

Quick Overview

COV644 is a human ovarian cancer cell line used in cancer research.

Detailed Summary

COV644 is a human ovarian cancer cell line derived from a tumor sample. It is used in research to study the molecular characteristics and genetic alterations associated with ovarian cancer. The cell line has been characterized in various studies, including genomic profiling and drug sensitivity assays. COV644 is part of the Cancer Cell Line Encyclopedia (CCLE) and has been used in studies related to cancer genomics and therapeutic development. The cell line's genetic profile includes specific mutations and copy number variations that are relevant to ovarian cancer research.

Research Applications

Genomic profilingDrug sensitivity assaysCancer genomicsTherapeutic development

Key Characteristics

Genetic mutationsCopy number variationsExpression profiles

Generated on 6/18/2025

Basic Information

Database ID	CVCL_2425
Species	Homo sapiens (Human)
Tissue Source	Ovary[UBERON:UBERON_0000992]

Donor Information

Age Category	Unknown
Sex	Female

Disease Information

Disease	Mucinous adenocarcinoma of ovary
Lineage	Ovary/Fallopian Tube
Subtype	Mucinous Ovarian Cancer
OncoTree Code	MOV

DepMap Information

Source Type	ECACC
Source ID	ACH-000608_source

Haplotype Information (STR Profile)

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

Amelogenin

CSF1PO

D13S317

9,11

D16S539

11,12

D18S51

D19S433

13,16.2

D21S11

D2S1338

17,18

D3S1358

17,18

D5S818

10,11

D7S820

8,11

D8S1179

12,14

FGA

21,23

Penta D

Penta E

TH01

TPOX

9,11

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

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

DOI PubMed PMC

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).

DOI PubMed PMC

TCLP: an online cancer cell line catalogue integrating HLA type, predicted neo-epitopes, virus and gene expression.

Loewer M., Sahin U., Castle J.C.

Genome Med. 7:118.1-118.7(2015).

DOI PubMed PMC

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).

DOI PubMed PMC

A resource for cell line authentication, annotation and quality control.

Neve R.M.

Nature 520:307-311(2015).

DOI PubMed

A comprehensive transcriptional portrait of human cancer cell lines.

Settleman J., Seshagiri S., Zhang Z.-M.

Nat. Biotechnol. 33:306-312(2015).

DOI PubMed

Ovarian cancer cell line panel (OCCP): clinical importance of in vitro morphological subtypes.

Helleman J.

PLoS ONE 9:E103988-E103988(2014).

DOI PubMed PMC

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).

DOI PubMed PMC

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).

DOI PubMed PMC

Establishment and characterization of 7 ovarian carcinoma cell lines and one granulosa tumor cell line: growth features and cytogenetics.

Cornelisse C.J., Schrier P.I.

Int. J. Cancer 53:613-620(1993).

DOI PubMed