Cited by 19Identification and Quantification in FoodEnvironmental DNA in Biodiversity StudiesGenomics and Phylogenetic Studies

Authentication, characterization and contamination detection of cell lines, xenografts and organoids by barcode deep NGS sequencing

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Chen, Xiaobo, Qian, Wubin, Song, Zhenzhen, Li, Qi-Xiang, Guo, Sheng·2020·NAR Genomics and Bioinformatics

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.

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  • Technologies such as STR profiling, karyotyping, and barcoding do not meet the needs of fledgling procurement networks because they do not exhibit robustness, uniqueness, and unclonability.

    “Technologies such as STR profiling, karyotyping, and barcoding do not meet the needs of fledgling procurement networks because they do not exhibit the three requisite attributes for source attestation: robustness, uniqueness, and unclonability [134].”

    From The history, landscape, and outlook of human cell line authentication and security (2024) · cites this paper as [134]

    The Introduction (page unavailable) says STR assays have limitations for authenticating large batches of biosamples, supporting only a narrower concern about STR profiling. It does not assess fledgling procurement networks or say that STR profiling, karyotyping, and barcoding lack robustness, uniqueness, and unclonability. The Discussion (page unavailable) instead presents DNA barcoding as a useful part of the paper’s robust, high-throughput authentication method. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Next-Generation Sequencing authentication experiments have shown extremely high accuracy, even in lines derived from the same parent.

    “Authentication experiments with Next-Generation Sequencing (”

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  1. [1]Editorial. Identity crisis. Nature. 2009; 457: 935– 936. 19225471
  2. [4]Gartler S.M. Apparent HeLa cell contamination of human heteroploid cell lines. Nature. 1968; 217: 750– 751. 5641128
  3. [6]Lorsch J.R., Collins F.S., Lippincott-Schwartz J. Cell biology. Fixing problems with cell lines. Science. 2014; 346: 1452– 1453. 25525228 PMC5101941
  4. [7]Fusenig N.E., Capes-Davis A., Bianchini F., Sundell S., Lichter P. The need for a worldwide consensus for cell line authentication: experience implementing a mandatory requirement at the International Journal of Cancer. PLoS Biol. 2017; 15: e2001438. 28414712 PMC5393552
  5. [9]Bian X., Yang Z., Feng H., Sun H., Liu Y. A combination of species identification and STR profiling identifies cross-contaminated cells from 482 human tumor cell lines. Sci. Rep. 2017; 7: 9774. 28851942 PMC5575032
  6. [11]de Maagd R.A., Bakker P., Staykov N., Dukiandjiev S., Stiekema W., Bosch D. Identification of Bacillus thuringiensis delta-endotoxin Cry1C domain III amino acid residues involved in insect specificity. Appl. Environ. Microbiol. 1999; 65: 4369– 4374. 10508062 PMC91580
  7. [12]Azari S., Ahmadi N., Tehrani M.J., Shokri F. Profiling and authentication of human cell lines using short tandem repeat (STR) loci: report from the National Cell Bank of Iran. Biologicals. 2007; 35: 195– 202. 17254797
  8. [13]Wu M.L., Liao L.C., Chen C.Y., Lee S.Y., Yuan G.F., Hwang S.M. A 2-yr service report of cell line authentication. In Vitro Cell. Dev. Biol. Anim. 2013; 49: 743– 745. 23943492
  9. [15]MacLeod R.A., Dirks W.G., Matsuo Y., Kaufmann M., Milch H., Drexler H.G. Widespread intraspecies cross-contamination of human tumor cell lines arising at source. Int. J. Cancer. 1999; 83: 555– 563. 10508494
  10. [16]Cosme B., Falagan-Lotsch P., Ribeiro M., Napoleao K., Granjeiro J.M., Moura-Neto R. Are your results valid? Cellular authentication a need from the past, an emergency on the present. In Vitro Cell. Dev. Biol. Anim. 2017; 53: 430– 434. 28127703
  11. [18]Freedman L.P., Gibson M.C., Wisman R., Ethier S.P., Soule H.R., Reid Y.A., Neve R.M. The culture of cell culture practices and authentication: results from a 2015 survey. BioTechniques. 2015; 59: 189– 190. 26458546
  12. [19]Nims R.W., Reid Y. Best practices for authenticating cell lines. In Vitro Cell. Dev. Biol. Anim. 2017; 53: 880– 887. 29197028
  13. [21]Almeida J.L., Dakic A., Kindig K., Kone M., Letham D.L.D., Langdon S., Peat R., Holding-Pillai J., Hall E.M., Ladd M et al. Interlaboratory study to validate a STR profiling method for intraspecies identification of mouse cell lines. PLoS One. 2019; 14: e0218412. 31220119 PMC6586308
  14. [22]Zaaijer S., Gordon A., Speyer D., Piccone R., Groen S.C., Erlich Y. Rapid re-identification of human samples using portable DNA sequencing. eLife. 2017; 6: e27798. 29182147 PMC5705215
  15. [23]Yousefi S., Abbassi-Daloii T., Kraaijenbrink T., Vermaat M., Mei H., van ’t Hof P., van Iterson M., Zhernakova D.V., Claringbould A., Franke L. et al. A SNP panel for identification of DNA and RNA specimens. BMC Genomics. 2018; 19: 90. 29370748 PMC5785835
  16. [24]Jobling M.A., Gill P. Encoded evidence: DNA in forensic analysis. Nat. Rev. Genet. 2004; 5: 739– 751. 15510165
  17. [25]Sanchez J.J., Phillips C., Borsting C., Balogh K., Bogus M., Fondevila M., Harrison C.D., Musgrave-Brown E., Salas A., Syndercombe-Court D. et al. A multiplex assay with 52 single nucleotide polymorphisms for human identification. Electrophoresis. 2006; 27: 1713– 1724. 16586411
  18. [26]Didion J.P., Buus R.J., Naghashfar Z., Threadgill D.W., Morse H.C. 3rd, de Villena F.P. SNP array profiling of mouse cell lines identifies their strains of origin and reveals cross-contamination and widespread aneuploidy. BMC Genomics. 2014; 15: 847. 25277546 PMC4198738
  19. [28]Pengelly R.J., Gibson J., Andreoletti G., Collins A., Mattocks C.J., Ennis S. A SNP profiling panel for sample tracking in whole-exome sequencing studies. Genome Med. 2013; 5: 89. 24070238 PMC3978886
  20. [29]Morgan A.P., Fu C.P., Kao C.Y., Welsh C.E., Didion J.P., Yadgary L., Hyacinth L., Ferris M.T., Bell T.A., Miller D.R. et al. The mouse universal genotyping array: from substrains to subspecies. G3 (Bethesda). 2015; 6: 263– 279. 26684931 PMC4751547
  21. [31]El-Hoss J., Jing D., Evans K., Toscan C., Xie J., Lee H., Taylor R.A., Lawrence M.G., Risbridger G.P., MacKenzie K.L. et al. A single nucleotide polymorphism genotyping platform for the authentication of patient derived xenografts. Oncotarget. 2016; 7: 60475– 60490. 27528024 PMC5312397
  22. [32]Bairoch A. The Cellosaurus, a cell-line knowledge resource. J. Biomol. Tech. 2018; 29: 25– 38. 29805321 PMC5945021
  23. [33]Ruitberg C.M., Reeder D.J., Butler J.M. STRBase: a short tandem repeat DNA database for the human identity testing community. Nucleic Acids Res. 2001; 29: 320– 322. 11125125 PMC29767
  24. [36]Day C.P., Merlino G., Van Dyke T. Preclinical mouse cancer models: a maze of opportunities and challenges. Cell. 2015; 163: 39– 53. 26406370 PMC4583714
  25. [37]Guo S., Qian W., Cai J., Zhang L., Wery J.P., Li Q.X. Molecular pathology of patient tumors, patient-derived xenografts, and cancer cell lines. Cancer Res. 2016; 76: 4619– 4626. 27325646
  26. [38]Khaled W.T., Liu P. Cancer mouse models: past, present and future. Semin. Cell Dev. Biol. 2014; 27: 54– 60. 24718321
  27. [39]Li Q.X., Feuer G., Ouyang X., An X. Experimental animal modeling for immuno-oncology. Pharmacol. Ther. 2017; 173: 34– 46. 28167217
  28. [40]Chao C., Widen S.G., Wood T.G., Zatarain J.R., Johnson P., Gajjar A., Gomez G., Qiu S., Thompson J., Spratt H. et al. Patient-derived xenografts from colorectal carcinoma: a temporal and hierarchical study of murine stromal cell replacement. Anticancer Res. 2017; 37: 3405– 3412. 28668828 PMC5548438
  29. [41]International HapMap, C. The International HapMap Project. Nature. 2003; 426: 789– 796. 14685227
  30. [43]Dobin A., Davis C.A., Schlesinger F., Drenkow J., Zaleski C., Jha S., Batut P., Chaisson M., Gingeras T.R. STAR: ultrafast universal RNA-seq aligner. Bioinformatics. 2013; 29: 15– 21. 23104886 PMC3530905
  31. [44]Li H., Durbin R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics. 2009; 25: 1754– 1760. 19451168 PMC2705234
  32. [45]Fasterius E., Al-Khalili Szigyarto C. Analysis of public RNA-sequencing data reveals biological consequences of genetic heterogeneity in cell line populations. Sci. Rep. 2018; 8: 11226. 30046134 PMC6060100
  33. [47]Vermeulen S.J., Chen T.R., Speleman F., Nollet F., Van Roy F.M., Mareel M.M. Did the four human cancer cell lines DLD-1, HCT-15, HCT-8, and HRT-18 originate from one and the same patient?. Cancer Genet. Cytogenet. 1998; 107: 76– 79. 9809040
  34. [48]Rebouissou S., Zucman-Rossi J., Moreau R., Qiu Z., Hui L. Note of caution: contaminations of hepatocellular cell lines. J. Hepatol. 2017; 67: 896– 897. 28807831
  35. [49]Barretina J., Caponigro G., Stransky N., Venkatesan K., Margolin A.A., Kim S., Wilson C.J., Lehar J., Kryukov G.V., Sonkin D. et al. The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity. Nature. 2012; 483: 603– 607. 22460905 PMC3320027
  36. [51]Molla Kazemiha V., Shokrgozar M.A., Arabestani M.R., Shojaei Moghadam M., Azari S., Maleki S., Amanzadeh A., Jeddi Tehrani M., Shokri F. PCR-based detection and eradication of mycoplasmal infections from various mammalian cell lines: a local experience. Cytotechnology. 2009; 61: 117– 124. 20135349 PMC2825298
  37. [52]Genomes Project, C. Auton A., Brooks L.D., Durbin R.M., Garrison E.P., Kang H.M., Korbel J.O., Marchini J.L., McCarthy S., McVean G.A. et al. A global reference for human genetic variation. Nature. 2015; 526: 68– 74. 26432245 PMC4750478
  38. [53]Raj A., Stephens M., Pritchard J.K. fastSTRUCTURE: variational inference of population structure in large SNP data sets. Genetics. 2014; 197: 573– 589. 24700103 PMC4063916
  39. [54]Masters J.R., Thomson J.A., Daly-Burns B., Reid Y.A., Dirks W.G., Packer P., Toji L.H., Ohno T., Tanabe H., Arlett C.F. et al. Short tandem repeat profiling provides an international reference standard for human cell lines. Proc. Natl Acad. Sci. U.S.A. 2001; 98: 8012– 8017. 11416159 PMC35459
  40. [55]Tanabe H., Takada Y., Minegishi D., Kurematsu M., Masui T., Mizusawa H. Cell line individualization by STR multiplex system in the cell bank found cross-contamination between ECV304 and EJ-1/T24. Tissue Culture Res. Commun. 1999; 18: 329– 338.

Cited by

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Authors
Chen, X., Qian, W., Song, Z., Li, Q.-X., & Guo, S.
Affiliations
  • Crown Bioscience (China) (CN)
  • Crown Bioscience, Inc., 16550 W Bernardo Dr, Building 5, San Diego, CA 92127, USA
Corresponding author
Guo, Sheng
Venue
NAR Genomics and Bioinformatics
Published
2020-08-18
Volume
2
Issue
3
Pages
lqaa060-lqaa060
ISSN
2631-9268 (ISSN-L)
OpenAlex
W3064583715
Cited by
19
References
14
Citations by year
2025: 2 · 2024: 2 · 2023: 11 · 2022: 3 · 2021: 1
FWCI
1.22
Type
journal article
Language
en
Open access
Locations
  • NAR Genomics and Bioinformatics (publishedVersion, cc-by-nc)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
Crown Bioscience, Inc.
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Identification and Quantification in Food
  • Physical Sciences › Environmental Science › Ecology › Environmental DNA in Biodiversity Studies
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
Keywords
cell line authentication, contamination detection, DNA barcoding, xenografts, organoids, mycoplasma detection, population structure inference, sex determination

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