SNU-1214Homo sapiens (Human)Cancer cell line
Also known as: NCI-SNU-1214, SNU1214
AI Summary
No AI-generated summary available for this cell line.
Basic Information
Database ID | CVCL_5017 |
---|---|
Species | Homo sapiens (Human) |
Tissue Source | Larynx[UBERON:UBERON_0001737] |
Donor Information
Age | 55 |
---|---|
Age Category | Adult |
Sex | Male |
Race | asian |
Disease Information
Disease | Squamous cell carcinoma of the larynx |
---|---|
Lineage | Head and Neck |
Subtype | Larynx Squamous Cell Carcinoma |
OncoTree Code | LXSC |
DepMap Information
Source Type | KCLB |
---|---|
Source ID | ACH-000715_source |
Known Sequence Variations
Type | Gene/Protein | Description | Zygosity | Note | Source |
---|---|---|---|---|---|
MutationSimple | TP53 | p.Ala159Pro (c.475G>C) | Homozygous | - | Unknown |
MutationSimple | CDKN2A | p.Arg80Ter (c.238C>T) (p.Pro94Leu, c.281C>T) | Homozygous | - | from parent cell line HL-60 |
Haplotype Information (STR Profile)
Short Tandem Repeat (STR) profile for cell line authentication.
Amelogenin
X
CSF1PO
10,12
D13S317
9
D3S1358
16
D5S818
9,10
D7S820
8,9
FGA
19
TH01
7,9
TPOX
11
vWA
16,19
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
Comprehensive transcriptomic analysis of cell lines as models of primary tumors across 22 tumor types.
van 't Veer L.J., Butte A.J., Goldstein T., Sirota M.
Nat. Commun. 10:3574.1-3574.11(2019).
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).
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).
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).