Suppr超能文献

人类细胞系鉴定的匹配标准:我们在哪里划清界限?

Match criteria for human cell line authentication: where do we draw the line?

机构信息

CellBank Australia, Children's Medical Research Institute, Westmead, New South Wales, Australia.

出版信息

Int J Cancer. 2013 Jun 1;132(11):2510-9. doi: 10.1002/ijc.27931. Epub 2012 Nov 28.

Abstract

Continuous human cell lines have been used extensively as models for biomedical research. In working with these cell lines, researchers are often unaware of the risk of cross-contamination and other causes of misidentification. To reduce this risk, there is a pressing need to authenticate cell lines, comparing the sample handled in the laboratory to a previously tested sample. The American Type Culture Collection Standards Development Organization Workgroup ASN-0002 has developed a Standard for human cell line authentication, recommending short tandem repeat (STR) profiling for authentication of human cell lines. However, there are known limitations to the technique when applied to cultured samples, including possible genetic drift with passage. In our study, a dataset of 2,279 STR profiles from four cell banks was used to assess the effectiveness of the match criteria recommended within the Standard. Of these 2,279 STR profiles, 1,157 were grouped into sets of related cell lines-duplicate holdings, legitimately related samples or misidentified cell lines. Eight core STR loci plus amelogenin were used to unequivocally authenticate 98% of these related sets. Two simple match algorithms each clearly discriminated between related and unrelated samples, with separation between related samples at ≥80% match and unrelated samples at <50% match. A small degree of overlap was noted at 50-79% match, mostly from cell lines known to display variable STR profiles. These match criteria are recommended as a simple and effective way to interpret results from STR profiling of human cell lines.

摘要

连续的人类细胞系已被广泛用作生物医学研究的模型。在使用这些细胞系时,研究人员通常没有意识到交叉污染和其他身份识别错误的风险。为了降低这种风险,迫切需要对细胞系进行鉴定,即将实验室中处理的样本与之前经过测试的样本进行比较。美国模式培养物集存库标准制定组织工作组 ASN-0002 已经制定了人类细胞系鉴定标准,建议使用短串联重复 (STR) 分析进行人类细胞系鉴定。然而,该技术在应用于培养样本时存在已知的局限性,包括随着传代可能发生遗传漂移。在我们的研究中,使用来自四个细胞库的 2279 个 STR 图谱数据集来评估标准中推荐的匹配标准的有效性。在这 2279 个 STR 图谱中,有 1157 个被分为相关细胞系的集合——重复持有的、合法相关的样本或错误识别的细胞系。使用 8 个核心 STR 基因座和 amelogenin 来明确鉴定这些相关集合中的 98%。两种简单的匹配算法都能清楚地区分相关和不相关的样本,相关样本的分离度大于 80%匹配,不相关样本的分离度小于 50%匹配。在 50-79%匹配时有一定程度的重叠,主要来自已知显示可变 STR 图谱的细胞系。这些匹配标准被推荐为一种简单有效的方法来解释人类细胞系 STR 图谱分析的结果。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验