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Cell Lines

Cell Lines

A cell line is a population of cells grown in vitro that can be subcultured over several generations. Normal cells cease to divide after a certain number of cell divisions, a process known as replicative senescence. This number, called the Hayflick limit, was conceptualized by Leonard Hayflick in 1961 when he observed that fetal cells grown in culture could only divide 40-60 times. This limit is due to the shortening of the telomeres during each round of cell division, preventing cell division...

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An Automated Differential Nuclear Staining Assay for Accurate Determination of Mitocan Cytotoxicity

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Published on: May 12, 2020

CCLHunter: An efficient toolkit for cancer cell line authentication.

Congfan Bu^1,2, Xinchang Zheng^1,2, Jialin Mai^1,2,3

¹National Genomics Data Center, Beijing Institute of Genomics, Chinese Academy of Sciences and China National Center for Bioinformation, Beijing 100101, China.

Computational and Structural Biotechnology Journal

|October 16, 2023

Summary

A new Cancer Cell Line Hunter (CCLHunter) method accurately authenticates human cancer cell lines using genetic and expression data. This tool is crucial for reliable cancer research, especially for closely related cell lines.

Keywords:

Cancer cell line Cell line authentication Web server

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A Multiplexed Luciferase-based Screening Platform for Interrogating Cancer-associated Signal Transduction in Cultured Cells

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Published on: July 3, 2013

Area of Science:

Biotechnology
Genomics
Cancer Research

Background:

Accurate authentication of cancer cell lines is vital for reproducible research.
Consanguineous cell lines with high genetic similarity pose authentication challenges.

Purpose of the Study:

To introduce a novel method, Cancer Cell Line Hunter (CCLHunter), for precise cancer cell line authentication.
To address the challenge of authenticating closely related and same-individual-derived cell lines.

Main Methods:

Utilized single nucleotide polymorphisms (SNPs), expression profiles, and kindred topology.
Applied the CCLHunter method to authenticate 1389 human cancer cell lines.

Main Results:

Achieved a complete accuracy rate of 93.27% for all authenticated cell lines.
Demonstrated high accuracy (89.28%) even for challenging consanguineous cell lines.
CCLHunter outperformed existing authentication methods.

Conclusions:

CCLHunter provides accurate and efficient authentication of human cancer cell lines.
The method is effective for distinguishing consanguineous lineages and cell lines from the same individual.
CCLHunter is accessible via standalone software and a web server.