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Authentication, characterization and contamination detection of cell lines, xenografts and organoids by barcode deep NGS sequencing.
Chen, Xiaobo; Qian, Wubin; Song, Zhenzhen; Li, Qi-Xiang; Guo, Sheng.
Afiliação
  • Chen X; Crown Bioscience, Inc., 218 Xinghu Road, Suzhou, Jiangsu 215400, China.
  • Qian W; Crown Bioscience, Inc., 218 Xinghu Road, Suzhou, Jiangsu 215400, China.
  • Song Z; Crown Bioscience, Inc., 218 Xinghu Road, Suzhou, Jiangsu 215400, China.
  • Li QX; Crown Bioscience, Inc., 16550 W Bernardo Dr, Building 5, San Diego, CA 92127, USA.
  • Guo S; Crown Bioscience, Inc., 218 Xinghu Road, Suzhou, Jiangsu 215400, China.
NAR Genom Bioinform ; 2(3): lqaa060, 2020 Sep.
Article em En | MEDLINE | ID: mdl-33575611
Misidentification and contamination of biobank samples (e.g. cell lines) have plagued biomedical research. Short tandem repeat (STR) and single-nucleotide polymorphism assays are widely used to authenticate biosamples and detect contamination, but with insufficient sensitivity at 5-10% and 3-5%, respectively. Here, we describe a deep NGS-based method with significantly higher sensitivity (≤1%). It can be used to authenticate human and mouse cell lines, xenografts and organoids. It can also reliably identify and quantify contamination of human cell line samples, contaminated with only small amount of other cell samples; detect and quantify species-specific components in human-mouse mixed samples (e.g. xenografts) with 0.1% sensitivity; detect mycoplasma contamination; and infer population structure and gender of human samples. By adopting DNA barcoding technology, we are able to profile 100-200 samples in a single run at per-sample cost comparable to conventional STR assays, providing a truly high-throughput and low-cost assay for building and maintaining high-quality biobanks.

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article