NCC-StC-K140Homo sapiens (Human)Cancer cell line
Also known as: K140, NCCSTCK140, NCCStCK140
🤖 AI SummaryBased on 3 publications
Quick Overview
Human cell line for cancer research, unknown tissue and disease
Detailed Summary
The NCC-StC-K140 cell line is derived from human cells, but specific details about its tissue origin, disease association, and cell type remain unknown. This cell line is part of the broader collection of cancer cell lines used in research, though no specific applications or characteristics are explicitly mentioned in the available data. Further studies would be required to determine its potential use in cancer research and its biological properties.
Generated on 6/19/2025
Basic Information
Database ID | CVCL_3055 |
---|---|
Species | Homo sapiens (Human) |
Tissue Source | Stomach[UBERON:UBERON_0000945] |
Donor Information
Age | 36 |
---|---|
Age Category | Adult |
Sex | Female |
Disease Information
Disease | Gastric carcinoma |
---|---|
Lineage | Esophagus/Stomach |
Subtype | Stomach Adenocarcinoma |
OncoTree Code | STAD |
DepMap Information
Source Type | RIKEN |
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Source ID | ACH-000110_source |
Known Sequence Variations
Type | Gene/Protein | Description | Zygosity | Note | Source |
---|---|---|---|---|---|
MutationSimple | TP53 | p.Arg248Gln (c.743G>A) | Unspecified | Somatic mutation acquired during proliferation | PubMed=20575032 |
Haplotype Information (STR Profile)
Short Tandem Repeat (STR) profile for cell line authentication.
Amelogenin
X
CSF1PO
10
D13S317
12
D16S539
12
D5S818
9
D7S820
11,12
TH01
7,9
TPOX
8,11
vWA
14
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
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).
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).