CCLHunter: 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 ut...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Computational and structural biotechnology journal 2023-01, Vol.21, p.4675-4682
Hauptverfasser: Bu, Congfan, Zheng, Xinchang, Mai, Jialin, Nie, Zhi, Zeng, Jingyao, Qian, Qiheng, Xu, Tianyi, Sun, Yanling, Bao, Yiming, Xiao, Jingfa
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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 1389 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. Additionally, we provide convenient access to CCLHunter through standalone software and a web server at https://ngdc.cncb.ac.cn/cclhunter. •CCLHunter utilizes SNP, expression profile, and cell line kindred to authenticate 1389 CCLs from RNA-seq data.•CCLHunter showed significant advantages in authenticating post-derived CCLs.•CCLHunter is a useful tool for CCL authentication, inspiring future research for genetic distance differentiation.
ISSN:2001-0370
2001-0370
DOI:10.1016/j.csbj.2023.09.040