ArticleNAR genomics and bioinformatics2020
Authentication, characterization and contamination detection of cell lines, xenografts and organoids by barcode deep NGS sequencing.
Article in NAR genomics and bioinformatics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 22 citations in OpenAlex.
- The molecular similarity landscape of preclinical cancer models to patient tumors.JCI insight · 2026Article
- Article
- Authentication of RBK (Razi Bovine Kidney) Cell Line Derived from Primary Kidney Cell.Archives of Razi Institute · 2025Article
- Unlocking Potential: A Comprehensive Overview of Cell Culture Banks and Their Impact on Biomedical Research.Cells · 2024Review
- GenoPipe: identifying the genotype of origin within (epi)genomic datasets.Nucleic acids research · 2023Article
- Characterization of Razi Bovine Kidney (RBK) Cell Line as a Sensitive Cell to Bovine Herpesvirus-1 (BoHV-1).Archives of Razi Institute · 2023Article
- Reference genomes for BALB/c Nude and NOD/SCID mouse models.G3 (Bethesda, Md.) · 2023Article
- Review
- Mouse Stromal Cells Confound Proteomic Characterization and Quantification of Xenograft Models.Cancer research communications · 2023Article
- Patient-derived models facilitate precision medicine in liver cancer by remodeling cell-matrix interaction.Frontiers in immunology · 2023Review
- A living biobank of matched pairs of patient-derived xenografts and organoids for cancer pharmacology.PloS one · 2023Article
- Tumor Purity in Preclinical Mouse Tumor Models.Cancer research communications · 2022Article
- Human sample authentication in biomedical research: comparison of two platforms.Scientific reports · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.