Version: 1.0
An efficient toolkit for cancer cell line authentication
Cancer cell lines are essential in cancer research, yet accurate authentication of these cell lines can be challenging, particularly for consanguineous cell lines with close genetic similarities. We introduce a new Cancer Cell Line Hunter (CCLHunter) method to tackle this challenge. This approach utilizes the information of single nucleotide polymorphisms, expression profiles, and kindred topology to authenticate 1,389 human cancer cell lines accurately. CCLHunter can precisely and efficiently authenticate cell lines from consanguineous lineages and those derived from other tissues of the same individual. Our evaluation results indicate that CCLHunter has a complete accuracy rate of 93.27%, with an accuracy of 89.28% even for consanguineous cell lines, outperforming existing methods.
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News
[2023/09/29] Updated CCLhunter to V4.0!
[2023/01/28] Updated introduction on home page.
[2022/10/28] Task submission was online!
[2022/10/22] CCLHunter had new logo!
[2022/09/28] Task queue was online!
How to cite
How to Cite:
(1) CCLHunter: An efficient toolkit for cancer cell line authentication. [PMID=37841327][DOI=10.1016/j.csbj.2023.09.040]
(2) Database Resources of the National Genomics Data Center, China National Center for Bioinformation in 2022. Nucleic Acids Res 2022, 50(D1):D27-D38. [PMID=34718731][DOI=10.1093/nar/gkab951]