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Addressing Cell-Line Contamination to Improve Data Reproducibility:Best Practices for Validing, Storing, and Handling Cell Culture Uphold Research Integrity

机译:解决细胞系污染,提高数据再现性:持续,储存和处理细胞文化的最佳实践维护研究完整性

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摘要

The contamination of cell lines by other cell lines or by microbes is a plague on the biomedical research community.1 Cell-line misidentification was first acknowledged nearly half a century ago upon the discovery of HeLa contamination of 18 cell lines.2 The problem persists to this day, as an estimated 15-20% of all cell lines used in biomedical research continue to be misidentified.3 A PubMed query of five cell lines identified in the 1960s as HeLa-contaminated (KB, HEp-2, Chang liver, Int-407, and WISH) found nearly 400 citations between March 2009 and February 2014. Despite peer review, many of the published articles still described these cell lines as "normal" human cells, not cervical cancer cells.
机译:其他细胞系或微生物的细胞系污染是生物医学研究的瘟疫.1细胞线错误identification首先在18个细胞污染的解冻污染后首先承认了近半个世纪前。问题仍然存在 这一天,据估计,生物医学研究中使用的所有细胞系中估计的15-20%继续被误诊.3在20世纪60年代鉴定的五种细胞系的PubMed查询是Hela污染的(KB,Hep-2,Chang Liver,INT -407和愿望)在2009年3月和2014年2月期间发现了近400个引文。尽管同行审查,但许多公布的文章仍然将这些细胞系描述为“正常”的人体细胞,而不是宫颈癌细胞。

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