A Combination of Species Identification and STR Profiling Identifies Cross-contaminated Cells from 482 Human Tumor Cell Lines.

A Combination of Species Identification and STR Profiling Identifies Cross-contaminated Cells from 482 Human Tumor Cell Lines.
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物种鉴定和Str分析的组合可以鉴定出482个人类肿瘤细胞系的交叉污染细胞。

DOI:
10.1038/s41598-017-09660-w
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发表时间:
2017-08-29
期刊:
影响因子:
4.6
通讯作者:
Liu Y
Liu Y
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Bian X;Yang Z;Feng H;Sun H;Liu Y

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人类肿瘤细胞系是癌症研究的极其重要的工具,但有很大一部分与其他细胞交叉污染。短串联重复序列(STR)分析是鉴定源自人体组织的细胞系的普遍标准。基于STR对中国使用的482种不同的人类肿瘤细胞系的分析,多达96种细胞系被错误识别。更重要的是,该研究发现,仅凭STR分析不足以排除人类细胞系的物种间交叉污染。在386株STR谱正确的细胞株中,有3株存在种间交叉污染。在某些情况下,仔细的显微镜检查可能有助于发现形态学的变化,但需要额外的检查。此外,通过PCR的物种验证可以很容易地识别污染物,即使污染细胞的百分比很低。将STR分析与PCR鉴定种相结合,发现超过20.5%(99/482)的肿瘤细胞系存在错误鉴定,包括种内(14.5%)、种间(4.4%)、交叉污染和污染细胞系(1.7%)。因此,细胞系的质量控制是一个系统性问题。每个细胞系在用于研究之前都应经过全面的QA(质量保证)评估。
Human tumor cell lines are extremely important tools for cancer research, but a significant percentage is cross-contaminated with other cells. Short tandem repeat (STR) profiling is the prevailing standard for authenticating cell lines that originate from human tissues. Based on the analysis of 482 different human tumor cell lines used in China by STR, up to 96 cell lines were misidentified. More importantly, the study has found that STR profiling alone is insufficient to exclude inter-species cross-contamination of human cell lines. Among the 386 cell lines which had a correct STR profile, 3 of them were inter-species cross-contaminated. Careful microscopic examination may be helpful in some cases to detect changes in morphology but additional testing is needed. Additionally, species verification by PCR could easily identify the contaminants, even with a low percentage of contaminating cells. Combining STR profiling with species identification by PCR, more than 20.5% (99/482) of tumor cell lines were revealed as having been incorrectly identified, including intra-species (14.5%), inter-species (4.4%) cross-contamination and contaminating cell lines (1.7%). Therefore, quality control of cell lines is a systemic issue. Each cell line should undergo a full QA (Quality Assurance) assessment before it is used for research.
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