KNS-81Homo sapiens (Human)Cancer cell line

Also known as: KNS81

🤖 AI SummaryBased on 4 publications

Quick Overview

Human glioblastoma cell line with potential for cancer research.

Detailed Summary

The KNS-81 cell line is derived from a human glioblastoma, a type of aggressive brain cancer. It is utilized in research to study the genetic and molecular mechanisms underlying cancer progression and drug sensitivity. This cell line has been part of studies examining genomic alterations and their implications for therapeutic strategies. Research involving KNS-81 contributes to understanding the complexities of glioblastoma and may aid in the development of targeted treatments.
Generated on 6/19/2025

Basic Information

Database IDCVCL_2799
SpeciesHomo sapiens (Human)
Tissue SourceBrain[UBERON:UBERON_0000955]

Donor Information

Age65
Age CategoryAdult
SexMale

Disease Information

DiseaseGlioblastoma
LineageCNS/Brain
SubtypeGlioblastoma
OncoTree CodeGB

DepMap Information

Source TypeHSRRB
Source IDACH-000479_source

Known Sequence Variations

TypeGene/ProteinDescriptionZygosityNoteSource
MutationNone reportedTP53---PubMed=19787792
MutationSimpleTERTc.1-124C>T (c.228C>T) (C228T)UnspecifiedIn promoterfrom parent cell line Hep-G2

Haplotype Information (STR Profile)

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

Amelogenin
X,Y
CSF1PO
9,12
D13S317
9
D16S539
10,12
D18S51
13,19
D19S433
13.2,14
D21S11
29,30
D2S1338
22,23
D3S1358
14,16
D5S818
9,12
D7S820
11
D8S1179
11,17
FGA
20,22
Penta D
9
Penta E
11,15
TH01
7,9
TPOX
8,11
vWA
17,18
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

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).

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).

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).

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

Neve R.M.

Nature 520:307-311(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).

Overexpressed Skp2 within 5p amplification detected by array-based comparative genomic hybridization is associated with poor prognosis of glioblastomas.

Aoyagi M., Ohno K., Imoto I., Inazawa J.

Cancer Sci. 96:676-683(2005).