Department of Genome Modifications and Carcinogenesis, F020, Research Program Infection and Cancer, German Cancer Research Center, DKFZ, Heidelberg, Germany.
Int J Cancer. 2013 Jan 15;132(2):308-14. doi: 10.1002/ijc.27675. Epub 2012 Jun 28.
Use of false cell lines remains a major problem in biological research. Short tandem repeat (STR) profiling represents the gold standard technique for cell line authentication. However, mismatch repair (MMR)-deficient cell lines are characterized by microsatellite instability, which could force allelic drifts in combination with a selective outgrowth of otherwise persisting side lines, and, thus, are likely to be misclassified by STR profiling. On the basis of the high-throughput Luminex platform, we developed a 24-plex single nucleotide polymorphism profiling assay, called multiplex cell authentication (MCA), for determining authentication of human cell lines. MCA was evaluated by analyzing a collection of 436 human cell lines from the German Collection of Microorganisms and Cell Cultures, previously characterized by eight-loci STR profiling. Both assays showed a very high degree of concordance and similar average matching probabilities (~1 × 10(-8) for STR profiling and ~1 × 10(-9) for MCA). MCA enabled the detection of less than 3% of contaminating human cells. By analyzing MMR-deficient cell lines, evidence was obtained for a higher robustness of the MCA compared to STR profiling. In conclusion, MCA could complement routine cell line authentication and replace the standard authentication STR technique in case of MSI cell lines.
在生物研究中,使用虚假细胞系仍然是一个主要问题。短串联重复(STR)分析是细胞系鉴定的金标准技术。然而,错配修复(MMR)缺陷的细胞系的特点是微卫星不稳定性,这可能会导致等位基因漂移,加上其他持续存在的侧系的选择性生长,因此很可能被 STR 分析错误分类。基于高通量 Luminex 平台,我们开发了一种 24 重单核苷酸多态性分析检测方法,称为多重细胞鉴定(MCA),用于确定人细胞系的鉴定。通过分析来自德国微生物和细胞培养物收藏集的 436 个人类细胞系,这些细胞系以前通过 8 个基因座 STR 分析进行了特征描述,对 MCA 进行了评估。两种检测方法都显示出非常高的一致性和相似的平均匹配概率(STR 分析约为 1×10(-8),MCA 约为 1×10(-9))。MCA 能够检测到不到 3%的污染人类细胞。通过分析 MMR 缺陷的细胞系,证明 MCA 比 STR 分析具有更高的稳健性。总之,MCA 可以补充常规的细胞系鉴定,并在 MSI 细胞系的情况下替代标准的 STR 技术进行鉴定。