SF295Homo sapiens (Human)Cancer cell line

Also known as: SF 295, SF.295, SF-295, SP-295

🤖 AI SummaryBased on 14 publications

Quick Overview

Human cancer cell line used in drug sensitivity and resistance studies.

Detailed Summary

SF295 is a human cancer cell line derived from a glioblastoma, commonly used in research for studying drug sensitivity and resistance mechanisms. It is part of the NCI-60 panel, which includes 60 cell lines representing various cancer types. SF295 has been utilized in studies involving gene expression profiling, proteomics, and metabolic analyses to understand cancer biology and therapeutic responses. Research on SF295 has contributed to identifying genetic and molecular factors associated with cancer progression and treatment outcomes.
Generated on 6/17/2025

Basic Information

Database IDCVCL_1690
SpeciesHomo sapiens (Human)
Tissue SourceBrain, left temporal lobe[UBERON:UBERON_0002808]

Donor Information

Age67
Age CategoryAdult
SexFemale

Disease Information

DiseaseGlioblastoma
LineageCNS/Brain
SubtypeGlioblastoma
OncoTree CodeGB

DepMap Information

Source TypeAcademic lab
Source IDACH-000376_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationSimpleTP53p.Arg248Gln (c.743G>A)UnspecifiedSomatic mutation acquired during proliferationPubMed=20575032
MutationSimpleTERTc.1-124C>T (c.228C>T) (C228T)UnspecifiedIn promoterfrom parent cell line Hep-G2
MutationSimplePTENp.Arg233Ter (c.697C>T)Heterozygous-PubMed=28683746, PubMed=24042735

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,13
D10S1248
14
D12S391
21
D13S317
10
D16S539
12,13
D18S51
15,18
D19S433
12,15
D1S1656
12,14
D21S11
28,30
D22S1045
13,15
D2S1338
15,20
D2S441
11
D3S1358
16,18
D5S818
11,12
D7S820
9,13
D8S1179
13,14
FGA
22,25
Penta D
13,14.4
Penta E
5,7
TH01
9.3
TPOX
8,11
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

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).

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).

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).

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).

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).

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).

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).

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).

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).

JFCR39, a panel of 39 human cancer cell lines, and its application in the discovery and development of anticancer drugs.

Kong D.-X., Yamori T.

Bioorg. Med. Chem. 20:1947-1951(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).

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).

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).

Analysis of p53 mutation status in human cancer cell lines: a paradigm for cell line cross-contamination.

Berglind H., Pawitan Y., Kato S., Ishioka C., Soussi T.

Cancer Biol. Ther. 7:699-708(2008).

Reduced expression of DNA topoisomerase I in SF295 human glioblastoma cells selected for resistance to homocamptothecin and diflomotecan.

Bates S.E., Pommier Y.

Mol. Pharmacol. 73:490-497(2008).

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).

p53-defective tumors with a functional apoptosome-mediated pathway: a new therapeutic target.

Tomoda H., Yamori T., Tsuruo T.

J. Natl. Cancer Inst. 97:765-777(2005).

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).

Establishment and characterization of five cell lines derived from human malignant gliomas.

Bell C.W., Stern R.S., Wilson C.B., Rosenblum M.L.

Acta Neuropathol. 75:92-103(1987).

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).

Human glioma cell lines.";

Nister M., Westermark B.

(In book chapter) Atlas of human tumor cell lines; Hay R.J., Park J.-G., Gazdar A.F. (eds.); pp.17-42; Academic Press; New York; USA (1994).

Brain tumors.";

Ali-Osman F.

(In book chapter) Human cell culture. Vol. 2. Cancer cell lines part 2; Masters J.R.W., Palsson B.O. (eds.); pp.167-184; Kluwer Academic Publishers; New York; USA (1999).