Investigation of Cross-Contamination and Misidentification of 278 Widely Used Tumor Cell Lines.
Investigation of Cross-Contamination and Misidentification of 278 Widely Used Tumor Cell Lines.
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278 种广泛使用的肿瘤细胞系交叉污染和误识别的调查
DOI：
10.1371/journal.pone.0170384
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Shen C
中科院分区：
文献类型：
--
作者：
Huang Y;Liu Y;Zheng C;Shen C
近年来，涉及人类细胞系的生物学研究在中国迅速发展。然而，一些细胞系在使用前没有经过认证。因此，不幸的是，错误鉴定和/或交叉污染的细胞系是常见的。本研究采用短串联重复序列分析方法，对中国28个单位的278个细胞系进行了交叉污染和错误鉴定的全面调查。通过与ATCC和DSMZ细胞库数据库的比对，共发现46.0%（128/278）的交叉污染/错误鉴定病例，来自22个研究机构。值得注意的是，73.2%（52/71）的中国研究人员建立的细胞系被错误鉴定，占总错误鉴定的40.6%（52/128）。此外，在国内实验室建立的52个错误鉴定的细胞系中，67.3%（35/52）是HeLa细胞或HeLa与另一种细胞系的可能杂交。此外，胆管癌细胞系HCCC-9810和变性肺癌Calu-6在ATCC数据库（9个基因座）中显示88.9%的匹配，表明它们来自相同的来源。然而，当我们使用21个位点用相同的算法比较这两个细胞系时，匹配百分比仅为48.2%，表明这两个细胞系是不同的。HCCC-9810和Calu-6的SNP图谱也显示它们是不同的细胞系。150个具有独特特征的细胞系表现出广泛的体外表型。这组150个基因组验证的癌细胞系代表了癌症研究界的宝贵资源，并将通过为可用于生物学和临床前研究的细胞系提供标准参考来促进我们对疾病的理解。
In recent years, biological research involving human cell lines has been rapidly developing in China. However, some of the cell lines are not authenticated before use. Therefore, misidentified and/or cross-contaminated cell lines are unfortunately commonplace. In this study, we present a comprehensive investigation of cross-contamination and misidentification for a panel of 278 cell lines from 28 institutes in China by using short tandem repeat profiling method. By comparing the DNA profiles with the cell bank databases of ATCC and DSMZ, a total of 46.0% (128/278) cases with cross-contamination/misidentification were uncovered coming from 22 institutes. Notably, 73.2% (52 out of 71) of the cell lines established by the Chinese researchers were misidentified and accounted for 40.6% of total misidentification (52/128). Further, 67.3% (35/52) of the misidentified cell lines established in laboratories of China were HeLa cells or a possible hybrid of HeLa with another kind of cell line. Furthermore, the bile duct cancer cell line HCCC-9810 and degenerative lung cancer Calu-6 exhibited 88.9% match in the ATCC database (9-loci), indicating that they were from the same origin. However, when we used 21-loci to compare these two cell lines with the same algorithm, the percent match was only 48.2%, indicating that these two cell lines were different. The SNP profiles of HCCC-9810 and Calu-6 also revealed that they were different cell lines. 150 cell lines with unique profiles demonstrated a wide range of in vitro phenotypes. This panel of 150 genomically validated cancer cell lines represents a valuable resource for the cancer research community and will advance our understanding of the disease by providing a standard reference for cell lines that can be used for biological as well as preclinical studies.