UO-31Homo sapiens (Human)Cancer cell line

Also known as: U031, UO31, UO.31

🤖 AI SummaryBased on 15 publications

Quick Overview

UO-31 is a human cancer cell line used in research for its genetic and molecular characteristics.

Detailed Summary

UO-31 is a human cancer cell line derived from renal tissue, though its specific tissue of origin is not explicitly stated in the available data. It is part of the NCI-60 panel, a widely used set of cancer cell lines for drug screening and molecular studies. The cell line has been characterized in multiple studies, including DNA fingerprinting, mutation analysis, and proteomic profiling. Research on UO-31 has focused on its genetic alterations, such as mutations in cancer-related genes and metabolic profiles. It is used to study cancer biology, drug resistance mechanisms, and molecular pathways involved in tumor progression. The cell line's genetic and molecular data contribute to understanding cancer heterogeneity and improving targeted therapies.

Research Applications

Cancer biology researchDrug screening and developmentMolecular profilingGenetic and mutation analysisProteomic and metabolomic studies

Key Characteristics

Part of the NCI-60 panelUsed in drug resistance studiesCharacterized for genetic and molecular profilesInvolved in cancer metabolism research
Generated on 6/17/2025

Basic Information

Database IDCVCL_1911
SpeciesHomo sapiens (Human)
Tissue SourceKidney[UBERON:UBERON_0002113]

Donor Information

Age CategoryUnknown
SexFemale

Disease Information

DiseaseRenal cell carcinoma
LineageKidney
SubtypeRenal Cell Carcinoma
OncoTree CodeRCC

DepMap Information

Source TypeAcademic lab
Source IDACH-000428_source

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,12
D13S317
9,11
D16S539
11,13
D18S51
14,16
D19S433
13,16.2
D21S11
32.2
D2S1338
23
D3S1358
15,17
D5S818
11,12
D7S820
10
D8S1179
13
FGA
21,25
TH01
7
TPOX
11
vWA
16,20
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).

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).

Analysis of renal cancer cell lines from two major resources enables genomics-guided cell line selection.

Hsieh J.J.-D., Hakimi A.A.

Nat. Commun. 8:15165.1-15165.10(2017).

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

Liang H.

Cancer Cell 31:225-239(2017).

A map of mobile DNA insertions in the NCI-60 human cancer cell panel.

Gnanakkan V.P., Cornish T.C., Boeke J.D., Burns K.H.

Mob. DNA 7:20.1-20.11(2016).

A landscape of pharmacogenomic interactions in cancer.";

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

Cell 166:740-754(2016).

Long non-coding RNA expression profiling in the NCI60 cancer cell line panel using high-throughput RT-qPCR.

Vandesompele J.

Sci. Data 3:160052-160052(2016).

High resolution copy number variation data in the NCI-60 cancer cell lines from whole genome microarrays accessible through CellMiner.

Varma S., Pommier Y., Sunshine M., Weinstein J.N., Reinhold W.C.

PLoS ONE 9:E92047-E92047(2014).

The metabolic demands of cancer cells are coupled to their size and protein synthesis rates.

Hirshfield K.M., Oltvai Z.N., Vazquez A.

Cancer Metab. 1:20.1-20.13(2013).

Global proteome analysis of the NCI-60 cell line panel.";

Wilhelm M., Kuster B.

Cell Rep. 4:609-620(2013).

The exomes of the NCI-60 panel: a genomic resource for cancer biology and systems pharmacology.

Simon R.M., Doroshow J.H., Pommier Y., Meltzer P.S.

Cancer Res. 73:4372-4382(2013).

Metabolite profiling identifies a key role for glycine in rapid cancer cell proliferation.

Kafri R., Kirschner M.W., Clish C.B., Mootha V.K.

Science 336:1040-1044(2012).

Identification of cancer cell-line origins using fluorescence image-based phenomic screening.

Yoon C.N., Chang Y.-T.

PLoS ONE 7:E32096-E32096(2012).

Mass homozygotes accumulation in the NCI-60 cancer cell lines as compared to HapMap trios, and relation to fragile site location.

Ruan X.-Y., Kocher J.-P.A., Pommier Y., Liu H.-F., Reinhold W.C.

PLoS ONE 7:E31628-E31628(2012).

Redefining the relevance of established cancer cell lines to the study of mechanisms of clinical anti-cancer drug resistance.

Ambudkar S.V., Gottesman M.M.

Proc. Natl. Acad. Sci. U.S.A. 108:18708-18713(2011).

Signatures of mutation and selection in the cancer genome.";

Deloukas P., Yang F.-T., Campbell P.J., Futreal P.A., Stratton M.R.

Nature 463:893-898(2010).

DNA fingerprinting of the NCI-60 cell line panel.";

Chanock S.J., Weinstein J.N.

Mol. Cancer Ther. 8:713-724(2009).

Mutation analysis of 24 known cancer genes in the NCI-60 cell line set.

Reinhold W.C., Weinstein J.N., Stratton M.R., Futreal P.A., Wooster R.

Mol. Cancer Ther. 5:2606-2612(2006).

HLA class I and II genotype of the NCI-60 cell lines.";

Morse H.C. 3rd, Stroncek D., Marincola F.M.

J. Transl. Med. 3:11.1-11.8(2005).

Systematic variation in gene expression patterns in human cancer cell lines.

Botstein D., Brown P.O.

Nat. Genet. 24:227-235(2000).

Feasibility of drug screening with panels of human tumor cell lines using a microculture tetrazolium assay.

Fine D.L., Abbott B.J., Mayo J.G., Shoemaker R.H., Boyd M.R.

Cancer Res. 48:589-601(1988).

Feasibility of a high-flux anticancer drug screen using a diverse panel of cultured human tumor cell lines.

Gray-Goodrich M., Campbell H., Mayo J.G., Boyd M.R.

J. Natl. Cancer Inst. 83:757-766(1991).