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Publication: Barcode Deep NGS-Based Profiling of Oncology Samples

Guo et al. Authentication, characterization and contamination detection of cell lines, xenografts and organoids by barcode deep NGS sequencing. NAR Genomics and Bioinformatics, Volume 2, Issue 3, September 2020

Publication: Barcode Deep NGS-Based Profiling of Oncology SamplesAn estimated 15-25% of cell lines used for scientific experiments are either misidentified or contaminated. The use of such unauthenticated cell lines and models yield data that is not reliable or reproducible, leading to significant delays in drug development and large financial loss.

Short tandem repeat (STR) and single-nucleotide polymorphism (SNP) assays are used by the research community to authenticate and ensure quality and identity of biosamples, but with insufficient sensitivity.

This publication establishes a highly sensitive barcode deep NGS sequencing method for authenticating, characterizing, and detecting contamination in cell lines, xenografts, and organoids.

Download This Publication To Discover:

  • Barcode deep NGS-based profiling, a more efficient and robust method for authenticating and detecting contamination in mouse and human samples compared to conventional STR and SNP analysis methods

  • How barcode deep NGS-based profiling enables large-scale authentication for the maintenance of high quality biobanks

  • How barcode deep NGS-based profiling can determine gender, ethnicity, detect viral infection, and mycoplasma contamination

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