BOKUHomo sapiens (Human)Cancer cell line

Also known as: Boku

🤖 AI SummaryBased on 1 publications

Quick Overview

Human cell line with unknown tissue and disease origin.

Detailed Summary

The BOKU cell line is a human cell line with unknown tissue and disease origins. It is part of a large study analyzing somatic mutations and selection pressures in cancer genomes. The cell line was included in a comprehensive analysis of 746 cancer cell lines, which identified numerous homozygous deletions and their potential roles in cancer development. This cell line is part of a dataset used to understand the structural signatures of deletions in cancer genomes, contributing to research on driver and passenger mutations. The study provides extensive data on copy number variations, gene expression, and mutations in cancer cell lines, offering insights into the mechanisms of cancer progression and potential targets for therapy.

Research Applications

Cancer genomicsSomatic mutation analysisStructural signatures of deletionsDriver and passenger mutation identification

Key Characteristics

Human cell linePart of 746 cancer cell lines studyIncludes homozygous deletions analysisContributes to understanding cancer genome evolution
Generated on 6/16/2025

Basic Information

Database IDCVCL_1089
SpeciesHomo sapiens (Human)
Tissue SourceUterus, cervix[UBERON:UBERON_0000002]

Donor Information

Age CategoryUnknown
SexFemale

Disease Information

DiseaseSquamous cell carcinoma of the cervix uteri
LineageCervix
SubtypeCervical Squamous Cell Carcinoma
OncoTree CodeCESC

DepMap Information

Source TypeJCRB
Source IDACH-001451_source

Haplotype Information (STR Profile)

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

Amelogenin
X
CSF1PO
10,12
D13S317
9
D16S539
9,12
D18S51
14
D19S433
13.2,14
D21S11
29,30
D2S1338
23
D3S1358
15
D5S818
8,11
D7S820
8,12
D8S1179
13,14
FGA
21.2,24
Penta D
12,13
Penta E
10,18
TH01
8,9
TPOX
11
vWA
17,21
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

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

Neve R.M.

Nature 520:307-311(2015).

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).