SCC-3Homo sapiens (Human)Cancer cell line

Also known as: SCC3

🤖 AI SummaryBased on 7 publications

Quick Overview

Human cancer cell line with potential for studying cancer genetics and drug responses.

Detailed Summary

SCC-3 is a human cancer cell line derived from a patient with non-Hodgkin's lymphoma. It expresses the interleukin-2 receptor (IL2-R) and is characterized as a monocytic cell line. Research on SCC-3 has focused on understanding the role of IL2-R in monocytic cells and its implications in cancer biology. The cell line has been used to study the effects of mutations on protein expression and drug sensitivity, particularly in the context of cancer immunotherapy. SCC-3 has also been involved in studies related to viral infections and their impact on cancer cell behavior. Its utility in identifying neo-epitopes and understanding HLA class I and II interactions makes it a valuable resource for cancer research.

Research Applications

Cancer immunotherapyViral infection studiesHLA class I and II interactionsNeo-epitope identificationDrug sensitivity profiling

Key Characteristics

Expresses IL2-RMonocytic lineageUsed in mutation and protein expression studiesRelevance to cancer genetics
Generated on 6/17/2025

Basic Information

Database IDCVCL_1683
SpeciesHomo sapiens (Human)
Tissue SourcePleural effusion[UBERON:UBERON_0000175]

Donor Information

Age20
Age CategoryAdult
SexFemale

Disease Information

DiseaseB-cell non-Hodgkin lymphoma
LineageLymphoid
SubtypeMature B-Cell Neoplasms
OncoTree CodeMBN

DepMap Information

Source TypeJCRB
Source IDACH-001642_source

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
12
D13S317
8
D16S539
11,12
D18S51
13,18
D21S11
31
D3S1358
15
D5S818
9
D7S820
11,12
D8S1179
11
FGA
19
Penta D
11,14
Penta E
17,19
TH01
8,9
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

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).

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 landscape of pharmacogenomic interactions in cancer.";

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

Cell 166:740-754(2016).

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).

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

Neve R.M.

Nature 520:307-311(2015).

A comprehensive transcriptional portrait of human cancer cell lines.

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

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

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).

The (2;5)(p23;q35) translocation in cell lines derived from malignant lymphomas: absence of t(2;5) in Hodgkin-analogous cell lines.

Quentmeier H., Drexler H.G.

Leukemia 10:142-149(1996).

Establishment and characterization of a monocytic cell line which expresses the interleukin-2 receptor.

Kimura Y., Toki H., Okabe K.-i., Suzuki K.-i., Hayakawa T., Miyamoto K.

Jpn. J. Cancer Res. 77:862-865(1986).

The leukemia-lymphoma cell line factsbook.";

Drexler H.G.

(In book) ISBN 9780122219702; pp.1-733; Academic Press; London; United Kingdom (2001).

Web Resources