Authentication, characterization and contamination detection of cell lines, xenografts and organoids by barcode deep NGS sequencing
Open accessAbstract
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 measuredNext-Generation Sequencing authentication experiments have shown extremely high accuracy, even in lines derived from the same parent.
“Authentication experiments with Next-Generation Sequencing (”
From The history, landscape, and outlook of human cell line authentication and security (2024) · cites this paper as [134]
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Next-generation characterization of the Cancer Cell Line Encyclopedia
Ghandi, M., Huang, F. W., Jané-Valbuena, J., Kryukov, G. V., Lo, C. C., McDonald, E. R., Barretina, J., Gelfand, E. T., Bielski, C. M., Li, H., et al. (2019) · Nature · doi:10.1038/s41586-019-1186-3 · Cited by 3,394 · see citing works
Cancer modeling meets human organoid technology
Tuveson, D., & Clevers, H. (2019) · Science · doi:10.1126/science.aaw6985 · Cited by 935 · see citing works
HeLa cells 50 years on: the good, the bad and the ugly
Masters, J. R. (2002) · Nature Reviews Cancer · doi:10.1038/nrc775 · Cited by 560 · see citing works
Cell line misidentification: the beginning of the end
American Type Culture Collection Standards Development Organization Workgroup ASN-0002 (2010) · Nature Reviews Cancer · doi:10.1038/nrc2852 · Cited by 266 · see citing works
A resource for cell line authentication, annotation and quality control
Yu, M., Selvaraj, S. K., Liang-Chu, M. M. Y., Aghajani, S., Busse, M., Yuan, J., Lee, G., Peale, F., Klijn, C., Bourgon, R., et al. (2015) · Nature · doi:10.1038/nature14397 · Cited by 243 · cited 5× · see citing works
“Current SNP assays have detection sensitivity at ∼3–5% (8,30,31).”
BackgroundMethodInfluentialvan der Meer, D., Barthorpe, S., Yang, W., Lightfoot, H., Hall, C., Gilbert, J., Francies, H. E., & Garnett, M. J. (2019) · Nucleic Acids Research · doi:10.1093/nar/gky872 · Cited by 195 · see citing works
Match criteria for human cell line authentication: Where do we draw the line?
Capes‐Davis, A., Reid, Y. A., Kline, M. C., Storts, D. R., Strauss, E., Dirks, W. G., Drexler, H. G., MacLeod, R. A. F., Sykes, G., Kohara, A., et al. (2013) · International Journal of Cancer · doi:10.1002/ijc.27931 · Cited by 189 · cited 2× · see citing works
“Therefore, higher similarity thresholds are often used by SNP assays to identify two samples as a match (3,8).”
BackgroundHigh‐throughput SNP‐based authentication of human cell lines
Castro, F., Dirks, W. G., Fähnrich, S., Hotz‐Wagenblatt, A., Pawlita, M., & Schmitt, M. (2013) · International Journal of Cancer · doi:10.1002/ijc.27675 · Cited by 183 · see citing works
The ghosts of HeLa: How cell line misidentification contaminates the scientific literature
Horbach, S. P. J. M., & Halffman, W. (2017) · PLOS ONE · doi:10.1371/journal.pone.0186281 · Cited by 167 · see citing works
Standards for cell line authentication and beyond
Almeida, J. L., Cole, K. D., & Plant, A. L. (2016) · PLoS Biology · doi:10.1371/journal.pbio.1002476 · Cited by 154 · see citing works
Persistent use of “false” cell lines
Lacroix, M. (2008) · International Journal of Cancer · doi:10.1002/ijc.23233 · Cited by 151 · see citing works
Ye, F., Chen, C., Qin, J., Liu, J., & Zheng, C. (2015) · The FASEB Journal · doi:10.1096/fj.14-266718 · Cited by 144 · see citing works
Human Biosample Authentication Using the High-Throughput, Cost-Effective SNPtraceTM System
Liang-Chu, M. M. Y., Yu, M., Haverty, P. M., Koeman, J., Ziegle, J., Lee, M., Bourgon, R., & Neve, R. M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0116218 · Cited by 62 · see citing works
Molla Kazemiha, V., Bonakdar, S., Amanzadeh, A., Azari, S., Memarnejadian, A., Shahbazi, S., Shokrgozar, M. A., & Mahdian, R. (2016) · Cytotechnology · doi:10.1007/s10616-015-9862-0 · Cited by 23 · see citing works
Flagged first, then by citations
Research works printed but not linked: 40
- [1]Editorial. Identity crisis. Nature. 2009; 457: 935– 936. 19225471
- [4]Gartler S.M. Apparent HeLa cell contamination of human heteroploid cell lines. Nature. 1968; 217: 750– 751. 5641128
- [6]Lorsch J.R., Collins F.S., Lippincott-Schwartz J. Cell biology. Fixing problems with cell lines. Science. 2014; 346: 1452– 1453. 25525228 PMC5101941
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [19]Nims R.W., Reid Y. Best practices for authenticating cell lines. In Vitro Cell. Dev. Biol. Anim. 2017; 53: 880– 887. 29197028
- [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
- [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
- [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
- [24]Jobling M.A., Gill P. Encoded evidence: DNA in forensic analysis. Nat. Rev. Genet. 2004; 5: 739– 751. 15510165
- [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
- [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
- [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
- [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
- [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
- [32]Bairoch A. The Cellosaurus, a cell-line knowledge resource. J. Biomol. Tech. 2018; 29: 25– 38. 29805321 PMC5945021
- [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
- [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
- [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
- [38]Khaled W.T., Liu P. Cancer mouse models: past, present and future. Semin. Cell Dev. Biol. 2014; 27: 54– 60. 24718321
- [39]Li Q.X., Feuer G., Ouyang X., An X. Experimental animal modeling for immuno-oncology. Pharmacol. Ther. 2017; 173: 34– 46. 28167217
- [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
- [41]International HapMap, C. The International HapMap Project. Nature. 2003; 426: 789– 796. 14685227
- [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
- [44]Li H., Durbin R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics. 2009; 25: 1754– 1760. 19451168 PMC2705234
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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
- [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.
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The history, landscape, and outlook of human cell line authentication and security
Harbut, E., Makris, Y., Pertsemlidis, A., & Bleris, L. (2024) · SLAS Discovery · doi:10.1016/j.slasd.2024.100194 · Cited by 8 · see citing works
- 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
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-08-18
- Volume
- 2
- Issue
- 3
- Pages
- lqaa060-lqaa060
- ISSN
- 2631-9268 (ISSN-L)
- PMC
- PMC7671372
- 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
- gold
- doi.org
- Licence
- 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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