SNU-C1Homo sapiens (Human)Cancer cell line

Also known as: NCI-SNU-C1, SNUC1

🤖 AI SummaryBased on 13 publications

Quick Overview

Human colorectal cancer cell line with known genetic and molecular characteristics.

Detailed Summary

SNU-C1 is a human colorectal cancer cell line derived from a primary tumor. It is widely used in cancer research to study the molecular mechanisms of colorectal cancer, including the role of specific genetic mutations and signaling pathways. The cell line has been characterized for its response to various therapeutic agents and is part of several large-scale genomic and proteomic studies. SNU-C1 is particularly noted for its utility in understanding the impact of mismatch repair deficiency and other genetic alterations on drug sensitivity and tumor biology.

Research Applications

Genomic and proteomic profilingDrug sensitivity testingMolecular mechanism studiesTherapeutic target identification

Key Characteristics

Known for mismatch repair deficiencyUsed in studies of colorectal cancer biologyPart of large-scale cancer cell line panels

Generated on 6/17/2025

Basic Information

Database ID	CVCL_1708
Species	Homo sapiens (Human)
Tissue Source	Peritoneum[UBERON:UBERON_0002358]

Donor Information

Age	71
Age Category	Adult
Sex	Male
Race	asian

Disease Information

Disease	Colon adenocarcinoma
Lineage	Bowel
Subtype	Colon Adenocarcinoma
OncoTree Code	COAD

DepMap Information

Source Type	ATCC
Source ID	ACH-000722_source

Known Sequence Variations

Type	Gene/Protein	Description	Zygosity	Note	Source
MutationSimple	TP53	p.Ser166Ter (c.497C>A)	Homozygous	-	from parent cell line SNU-C1
Gene fusion	APIP	APIP-SLC1A2	-	In frame	from parent cell line SNU-C1

Haplotype Information (STR Profile)

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

Amelogenin

CSF1PO

D13S317

9,11

D16S539

9,11

D18S51

D19S433

13,14

D21S11

D2S1338

17,25

D3S1358

D5S818

D7S820

10,11

D8S1179

13,15

FGA

Penta D

9,10

Penta E

13,16

TH01

7,9

TPOX

11,12

vWA

16,18

Gene Expression Profile

Gene expression levels and statistical distribution

Loading cohorts...

Full DepMap dataset with combined data across cell lines

Loading gene expression data...

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

Quantitative proteomics of the Cancer Cell Line Encyclopedia.";

Sellers W.R., Gygi S.P.

Cell 180:387-402.e16(2020).

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

Genomic determinants of protein abundance variation in colorectal cancer cells.

Wessels L.F.A., Saez-Rodriguez J., McDermott U., Choudhary J.S.

Cell Rep. 20:2201-2214(2017).

DOI PubMed PMC

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

Liang H.

Cancer Cell 31:225-239(2017).

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

The molecular landscape of colorectal cancer cell lines unveils clinically actionable kinase targets.

Linnebacher M., Cordero F., Di Nicolantonio F., Bardelli A.

Nat. Commun. 6:7002.1-7002.10(2015).

DOI PubMed

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

Colorectal cancer cell lines are representative models of the main molecular subtypes of primary cancer.

Mariadason J.M., Sieber O.M.

Cancer Res. 74:3238-3247(2014).

DOI PubMed

Breakpoint analysis of transcriptional and genomic profiles uncovers novel gene fusions spanning multiple human cancer types.

West R.B., Pollack J.R.

PLoS Genet. 9:E1003464-E1003464(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

5-fluorouracil response in a large panel of colorectal cancer cell lines is associated with mismatch repair deficiency.

Bracht K., Nicholls A.M., Liu Y., Bodmer W.F.

Br. J. Cancer 103:340-346(2010).

DOI PubMed PMC

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).

DOI PubMed PMC

Biology of SNU cell lines.";

Ku J.-L., Park J.-G.

Cancer Res. Treat. 37:1-19(2005).

DOI PubMed PMC

Biology of colorectal and gastric cancer cell lines.";

Park J.-G., Gazdar A.F.

J. Cell. Biochem. Suppl. 24:131-141(1996).

DOI PubMed

NCI-Navy Medical Oncology Branch cell line data base.";

Carney D.N., Minna J.D., Mulshine J.L.

J. Cell. Biochem. Suppl. 24:32-91(1996).

DOI PubMed

p53 functional loss in a colon cancer cell line with two missense mutations (218leu and 248trp) on separate alleles.

Karnes W.E. Jr.

Cancer Lett. 98:183-191(1996).

DOI PubMed

Characteristics of cell lines established from human colorectal carcinoma.

Johnson B.E., Gazdar A.F.

Cancer Res. 47:6710-6718(1987).

PubMed

Web Resources

tcpaportal.org