Article ; Online: Match criteria for human cell line authentication: where do we draw the line?
International journal of cancer
2013 Volume 132, Issue 11, Page(s) 2510–2519
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 ...
| 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. |
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| MeSH term(s) | Algorithms ; Cell Line ; Gene Expression Profiling/methods ; Genotyping Techniques/standards ; Humans ; Microsatellite Repeats/genetics ; Polymerase Chain Reaction |
| Language | English |
| Publishing date | 2013-06-01 |
| Publishing country | United States |
| Document type | Journal Article |
| ZDB-ID | 218257-9 |
| ISSN | 1097-0215 ; 0020-7136 |
| ISSN (online) | 1097-0215 |
| ISSN | 0020-7136 |
| DOI | 10.1002/ijc.27931 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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