Cited by 8Microbial infections and disease researchViral Infectious Diseases and Gene Expression in InsectsResearch Data Management Practices

Traceability Methods for Cell Line Authentication and Mycoplasma Detection

Open access
Kate Dennert, Rajeev Kumar·2021·SLAS TECHNOLOGY

Abstract

Many laboratories struggle with mycoplasma contamination and cell line misidentification when growing cells in culture. These well-documented issues affect the scientific research community and have detrimental downstream effects. Research published with suspect cultures can produce misleading results. There is increasing pressure to verify the integrity of experimental and established cell lines before publishing. Therefore, laboratories need to define how and when to perform these critical tests, analyze the results, and determine action plans if disparities exist. Our laboratory is committed to producing cell lines of the highest quality for use in experiments; thus, we created a surveillance strategy for these potential problems. We developed processes for both testing and tracing cell line authentication and mycoplasma detection data. Using these methods, we can protect the integrity of our patient and commercial cell lines, maintaining reliable cultures for our research.

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  • Despite fifty-five years of attention, CCCM persists, with global rates estimated to be between 14% and 46%.

    “Despite fifty-five years of attention through reviews, letters, calls to action, surveys, and technical innovations [5][6][7][8], cellular cross-contamination and misidentification persist, with global rates estimated to be between 14% and 46%.”

    From The history, landscape, and outlook of human cell line authentication and security (2024) · cites this paper as [5]

    The Introduction (page not provided) says cell-line contamination and misidentification remain concerns, and the Results report cross-contamination in six of 69 cell lines tested in the authors’ laboratory. The paper does not give a global rate of 14%–46% or establish the fifty-five-year timeframe, so those parts of the attributed claim are unsupported. (LLM, conf=0.85)

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Research works printed but not linked: 12

  1. Ji, Y.; Karbaschi, M.; Cooke, M. S. Mycoplasma Infection of Cultured Cells Induces Oxidative Stress and Attenuates Cellular Base Excision Repair Activity. Mutat. Res. 2019, 845, 403054.
  2. Nikfarjam, L.; Farzaneh, P. Prevention and Detection of Mycoplasma Contamination in Cell Culture. Cell J. 2012, 13, 203-212.
  3. Bielanski, A.; Vajta, G. Risk of Contamination of Germplasm during Cryopreservation and Cryobanking in IVF Units. Hum. Reprod. 2009, 24, 2457-2467.
  4. Bajerski, F.; Bürger, A.; Glasmacher, B. Factors Determining Microbial Colonization of Liquid Nitrogen Storage Tanks Used for Archiving Biological Samples. Appl. Microbiol. Biotechnol. 2020, 104, 131-144.
  5. Uphoff, C. C.; Denkmann, S.-A.; Drexler, H. G. Treatment of Mycoplasma Contamination in Cell Cultures with Plasmocin. Biomed Res. Int. 2012, 2012, 267678.
  6. Reid, Y.; de Mars, M.; Tian, F. STR Profiling: Authentication of Human Cell Lines and Beyond: Short Tandem Repeat Profiling Is the Most Dictated Method to Confirm Cell Line Identity and Avoid Misidentified or Cross-Contaminated Cell Lines. Biopharm. Int. 2017, 30, 37-41.
  7. Fusenig, N. E.; Capes-Davis, A.; Bianchini, F.; et al. 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.
  8. Hughes, P.; Marshall, D.; Reid, Y.; et al. The Costs of Using Unauthenticated, Over-Passaged Cell Lines: How Much More Data Do We Need? Biotechniques 2007, 43, 575-586.
  9. McGrory, J.; Sloots, J.; Hunt, D.; et al. Validation of the Promega Powerplex ® 16 STR Multiplex System for Forensic Casework. Can. Soc. Forensic Sci. J. 2005, 38, 85-99.
  10. Ensenberger, M. G.; Thompson, J.; Hill, B.; et al. Developmental Validation of the PowerPlex ® 16 HS System: An Improved 16-Locus Fluorescent STR Multiplex. Forensic Sci. Int. Genet. 2010, 4, 257-264.
  11. Bruford, E. A.; Braschi, B.; Denny, P.; et al. Guidelines for Human Gene Nomenclature. Nat. Genet. 2020, 52, 754-758.
  12. Dennert, K.; Friedrich, L.; Kumar, R. Creating an Affordable, User-Friendly Electronic Inventory System for Lab Samples. SLAS Technol. 2021, 26, 300-310.

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Authors
Dennert, K., & Kumar, R.
Affiliations
Aurora Sinai Medical Center (US)
Corresponding author
Kate Dennert
Venue
SLAS TECHNOLOGY
Publisher
Elsevier BV
Published
2021-12
Volume
26
Issue
6
Pages
630-636
ISSN
2472-6303 (ISSN-L)
OpenAlex
W3186119811
Cited by
8
References
4
Citations by year
2025: 1 · 2024: 3 · 2023: 3 · 2022: 1
FWCI
1.24
Type
journal article
Language
en
Open access
Locations
  • SLAS TECHNOLOGY (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Immunology and Microbiology › Microbiology › Microbial infections and disease research
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Viral Infectious Diseases and Gene Expression in Insects
  • Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
Keywords
cell line authentication, mycoplasma detection, mycoplasma contamination, cell line misidentification, traceability, cell culture quality control
MeSH terms
Cell Line Authentication, Cell Line, Humans, Laboratories, Mycoplasma

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