RKNHomo sapiens (Human)Cancer cell line

🤖 AI SummaryBased on 7 publications

Quick Overview

RKN cell line for cancer research and drug development

Detailed Summary

The RKN cell line is derived from human cancer and is used in various research applications. It is characterized by its specific tissue origin and disease type, making it a valuable model for studying cancer biology. The cell line's genetic and molecular profiles provide insights into tumor development and therapeutic responses. Researchers utilize RKN for investigating cancer mechanisms and developing targeted therapies.

Generated on 6/19/2025

Basic Information

Database ID	CVCL_3156
Species	Homo sapiens (Human)
Tissue Source	Ovary[UBERON:UBERON_0000992]

Donor Information

Age	45
Age Category	Adult
Sex	Female
Race	asian

Disease Information

Disease	Leiomyosarcoma
Lineage	Soft Tissue
Subtype	Leiomyosarcoma
OncoTree Code	LMS

DepMap Information

Source Type	HSRRB
Source ID	ACH-000505_source

Known Sequence Variations

Type	Gene/Protein	Description	Zygosity	Note	Source
MutationSimple	TP53	p.Arg175His (c.524G>A)	Unspecified	Somatic mutation acquired during proliferation	from parent cell line YCC-3
MutationSimple	TERT	c.-57A>C (c.161A>C) (A161C)	Unspecified	In promoter	from parent cell line SK-MEL-28
MutationSimple	KRAS	p.Gly12Val (c.35G>T)	Heterozygous	Acquired	Unknown, Unknown

Haplotype Information (STR Profile)

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

Amelogenin

CSF1PO

11,12

D13S317

8,9

D16S539

D18S51

D21S11

30,31

D3S1358

15,16

D5S818

10,12

D7S820

8,10

D8S1179

12,15

FGA

Penta D

9,11

Penta E

TH01

TPOX

8,11

vWA

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

Pan-cancer proteomic map of 949 human cell lines.";

Robinson P.J., Zhong Q., Garnett M.J., Reddel R.R.

Cancer Cell 40:835-849.e8(2022).

DOI PubMed PMC

Next-generation characterization of the Cancer Cell Line Encyclopedia.

Sellers W.R.

Nature 569:503-508(2019).

DOI PubMed PMC

Prioritization of cancer therapeutic targets using CRISPR-Cas9 screens.

Stronach E.A., Saez-Rodriguez J., Yusa K., Garnett M.J.

Nature 568:511-516(2019).

DOI PubMed

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

A landscape of pharmacogenomic interactions in cancer.";

Wessels L.F.A., Saez-Rodriguez J., McDermott U., Garnett M.J.

Cell 166:740-754(2016).

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

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

A genome-wide screen for microdeletions reveals disruption of polarity complex genes in diverse human cancers.

Haber D.A.

Cancer Res. 70:2158-2164(2010).

DOI PubMed PMC

Correlation between cell cycle and cell morphology of RKN cells.";

Sugishita T., Tenjin Y.

Nihon Sanka Fujinka Gakkai Zasshi 36:1213-1222(1984).

PubMed