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Cancer Cell Line Project

Summary

For decades, human immortal cancer cell lines have constituted an accessible, easily usable set of biological models with which to investigate cancer biology and to explore the potential efficacy of anticancer drugs. In order to improve their utility the Cancer Genome Project has embarked on a systematic characterisation of the genetics and genomics of large numbers of cancer cell lines. Prior knowledge of their genetic abnormalities may allow more informed choice of cancer cell lines in biological experiments and drug testing and more informed interpretation of results. [more].

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Interested in receiving news about the Cancer Cell Line project? Then sign up [here].
Other Data

1. Copy Number analysis
Genome-wide loss of heterozygosity and copy number analyses using SNP arrays.
2. Microsatellite instability
Detection of microsatellite instability due to DNA mismatch repair defects.
3. Cell line identity typing
A SNP and STR fingerprint for each cell line is available. Where possible the identity has been confirmed using the STR profile.
4. Additional variants
Additional variants classified as Tenatively Oncogenic Variant (TOV) and Unknown Variant (UV) are available to download as an Excel spreadsheet
Sequence Statistics

Our target is to sequence all known cancer genes in all of the cell lines. However, we release data before we achieve this goal. Therefore the present results should be considered as work in progress. This resource will be updated in the future. The present somatic mutation count is:

Gene Number of Mutations
ALK 3
APC 35
BRAF 66
BRCA1 2
BRCA2 6
CDH1 12
CDKN2A 293
CDKN2C 12
CDKN2a(p14) 252
CTNNB1 17
CYLD 1
EGFR 10
ERBB2 2
EZH2 5
FAM123B 5
FBXW7 29
FGFR3 2
FLCN 3
FLT3 4
GNAS 1
HRAS 8
IDH1 1
JAK2 1
KDM5C 4
KDM6A 28
KRAS 89
MAP2K4 16
MLH1 11
MSH2 11
MSH6 8
NF1 24
NF2 23
NOTCH1 16
NRAS 48
PIK3CA 64
PIK3R1 13
PTEN 104
RB1 107
RUNX1 2
SETD2 2
SMAD4 31
SMARCA4 14
SOCS1 1
STK11 32
TET2 3
TP53 495
TSC1 4
VHL 7
 

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Last Modified Thu Feb 24 14:28:58 2011

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