Toward achieving harmonization in a nanocytotoxicity assay measurement through an interlaboratory comparison study
Open accessAbstract
Development of reliable cell-based nanotoxicology assays is important for evaluation of potentially hazardous engineered nanomaterials. Challenges to producing a reliable assay protocol include working with nanoparticle dispersions and living cell lines, and the potential for nano-related interference effects. Here we demonstrate the use of a 96-well plate design with several measurement controls and an interlaboratory comparison study involving five laboratories to characterize the robustness of a nanocytotoxicity MTS cell viability assay based on the A549 cell line. The consensus EC50 values were 22.1 mg/L (95% confidence intervals 16.9 mg/L to 27.2 mg/L) and 52.6 mg/L (44.1 mg/L to 62.6 mg/L) for positively charged polystyrene nanoparticles for the serum-free and serum conditions, respectively, and 49.7 μmol/L (47.5 μmol/L to 51.5 μmol/L) and 77.0 μmol/L (54.3 μmol/L to 99.4 μmol/L) for positive chemical control cadmium sulfate for the serum-free and serum conditions, respectively. Results from the measurement controls can be used to evaluate the sources of variability and their relative magnitudes within and between laboratories. This information revealed steps of the protocol that may need to be modified to improve the overall robustness and precision. The results suggest that protocol details such as cell line ID, media exchange, cell handling, and nanoparticle dispersion are critical to ensure protocol robustness and comparability of nanocytotoxicity assay results. The combination of system control measurements and interlaboratory comparison data yielded insights that would not have been available by either approach by itself.
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Short tandem repeat sequencing revealed a partial chromosome deletion in one of the cell cultures.
“Short tandem repeat sequencing revealed a partial chromosome deletion in one of the cell cultures.”
From In Vitro research Reproducibility: Keeping up High Standards (2019) · cites this paper as Elliott et al., 2017
Section 3.1 reports that STR genotyping found a missing allele at a marker on chromosome 5 in the A549-A cell line. It does not establish a partial chromosome deletion or describe the method as STR sequencing. (LLM, conf=0.86)
Experimental — accuracy not yet measuredEven under strict conditions, EC50 values of two A549 cultures upon CdSO4 treatment differed by a factor of two in all laboratories.
“Even under such strict conditions, EC50 values of the two A549 cultures upon CdSO4 treatment differed by a factor of two in all laboratories.”
From In Vitro research Reproducibility: Keeping up High Standards (2019) · cites this paper as Elliott et al., 2017
The Discussion reports that the CdSO4 EC50 for A549-B was twice that for A549-A, but specifies that this finding was observed under serum-free conditions. Figure 10 identifies the serum-free A549-B result from Laboratory A as an outlier, so the paper does not establish a twofold difference in every laboratory. (LLM, conf=0.85)
Experimental — accuracy not yet measuredSimple cell handling steps, such as PBS washing, were identified to significantly change assay outcomes.
“For example, simple cell handling steps, such as PBS washing, were identified to significantly change assay outcomes.”
From In Vitro research Reproducibility: Keeping up High Standards (2019) · cites this paper as Elliott et al., 2017
Cell line authentication was discovered to be one of the main factors influencing assay results.
“In the course of these investigations, cell line authentication was discovered to be one of the main factors influencing assay results.”
From In Vitro research Reproducibility: Keeping up High Standards (2019) · cites this paper as Elliott et al., 2017
Elliott et al. 2017 assessed reproducibility of MTS-tetrazolium reduction assay results as indicators of cell viability in an international inter-laboratory comparison study with five independent laboratories.
“An exemplary illustration of this transparency is a publication by Elliott and colleagues (Elliott et al., 2017) assessing the reproducibility of MTS-tetrazolium reduction assay results as indicators of cell viability in an international inter-laboratory comparison study with five independent laboratories.”
From In Vitro research Reproducibility: Keeping up High Standards (2019) · cites this paper as Elliott et al., 2017
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Cites
Nanotoxicology: An Interdisciplinary Challenge
Krug, H. F., & Wick, P. (2011) · Angewandte Chemie International Edition · doi:10.1002/anie.201001037 · Cited by 556 · 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 1× · see citing works
“cell line ID) were performed on each of the cell stocks used for experiments (Table S3) (Yu et al., 2015).”
MethodDosimetric Comparisons of Particle Deposition and Retention in Rats and Humans
Brown, J. S., Wilson, W. E., & Grant, L. D. (2005) · Inhalation Toxicology · doi:10.1080/08958370590929475 · Cited by 131 · see citing works
Improved reproducibility by assuring confidence in measurements in biomedical research
Plant, A. L., Locascio, L. E., May, W. E., & Gallagher, P. D. (2014) · Nature Methods · doi:10.1038/nmeth.3076 · Cited by 89 · see citing works
Flagged first, then by citations
Research works printed but not linked: 47
- tify exchange rates and affinities of proteins for nanoparti- cles. Proc Natl Acad Sci U S A 104, 2050-2055. https://doi. org/10.1073/pnas.0608582104 · DOI · Paper page
- Chatterjee, R. (2007). Cell biology. Cases of mistaken identi- ty. Science 315, 928-931. https://doi.org/10.1126/science. 315.5814.928 · DOI
- Clippinger, A. J., Ahluwalia, A., Allen, D. et al. (2016). Expert consensus on an in vitro approach to assess pulmonary fibro- genic potential of aerosolized nanomaterials. Arch Toxicol 90, 1769-1783. https://doi.org/10.1007/s00204-016-1717-8 · DOI
- Cohen, J. M., DeLoid, G. M. and Demokritou, P. (2015). A crit- ical review of in vitro dosimetry for engineered nanomate- rials. Nanomedicine 10, 3015-3032. https://doi.org/10.2217/ nnm.15.129 · DOI
- Congdon, P. (2001). Bayesian Statistical Modeling. John Wiley & Sons.
- Cornfield, J. and Mantel, N. (1950). Some new aspects of the appliation of maximum likelihood to the calculation of the dosage response curve. J Am Stat Assoc 45, 181-210. https:// doi.org/10.2307/2280677 · DOI
- De Volder, M. F., Tawfick, S. H., Baughman, R. H. et al. (2013). Carbon nanotubes: Present and future commercial applications. Science 339, 535-539. https://doi.org/10.1126/ science.1222453 · DOI
- Gelman, A., Carlin, J., Stern, H. et al. (2008). Bayesian Data Analysis. 2 nd edition. Chapman & Hall.
- Geys, J., Nemery, B. and Hoet, P. H. M. (2010). Assay con- ditions can influence the outcome of cytotoxicity tests of nanomaterials: Better assay characterization is needed to compare studies. Toxicol In Vitro 24, 620-629. https://doi. org/10.1016/j.tiv.2009.10.007 · DOI
- Graetzel, M., Janssen, R. A. J., Mitzi, D. B. et al. (2012). Materials interface engineering for solution-processed pho- tovoltaics. Nature 488, 304-312. https://doi.org/10.1038/ nature11476 · DOI
- Hanna, S. K., Cooksey, G. A., Dong, S. et al. (2016). Feasibility of using a standardized Caenorhabditis elegans toxicity test to assess nanomaterial toxicity. Environ Sci: Nano 5, 1080- 1089. https://doi.org/10.1039/C6EN00105J · DOI
- Hinderliter, P. M., Minard, K. R., Orr, G. et al. (2010). ISDD: A computational model of particle sedimentation, diffusion and target cell dosimetry for in vitro toxicity studies. Part Fibre Toxicol 7, https://doi.org/10.1186/1743-8977-7-36 · DOI
- Hong, S. P., Leroueil, P. R., Janus, E. K. et al. (2006). Interac- tion of polycationic polymers with supported lipid bilayers and cells: Nanoscale hole formation and enhanced membrane permeability. Bioconjugate Chem 17, 728-734. https://doi. org/10.1021/bc060077y · DOI
- Horev-Azaria, L., Baldi, G., Beno, D. et al. (2013). Predictive toxicology of cobalt ferrite nanoparticles: Comparative in-vi- tro study of different cellular models using methods of knowl- edge discovery from data. Part Fibre Toxicol 10, 32. https:// doi.org/10.1186/1743-8977-10-32 · DOI
- Kaiser, J. P., Roesslein, M., Buerki-Thurnherr, T. et al. (2011). Carbon Nanotubes -curse or blessing. Curr Med Chem 18, 2115-2128. https://doi.org/10.2174/092986711795656171 References · DOI
- Almeida, J., Hill, C. and Cole, K. (2011). Authentication of Afri- can green monkey cell lines using human short tandem repeat markers. BMC Biotech 11, 102. https://doi.org/10.1186/1472- 6750-11-102 · DOI
- Auffan, M., Rose, J., Bottero, J. Y. et al. (2009). Towards a definition of inorganic nanoparticles from an environmental, health and safety perspective. Nat Nanotechmol 4, 634-641. https://doi.org/10.1038/nnano.2009.242 · DOI
- Baisch, B. L., Corson, N. M., Wade-Mercer, P. et al. (2014). Equivalent titanium dioxide nanoparticle deposition by intra- tracheal instillation and whole body inhalation: The effect of dose rate on acute respiratory tract inflammation. Part Fibre Toxicol 11, 5. https://doi.org/10.1186/1743-8977-11-5 · DOI
- Caracciolo, G., Caputo, D., Pozzi, D. et al. (2014). Size and charge of nanoparticles following incubation with human plas- ma of healthy and pancreatic cancer patients. Colloids Surf B 123, 673-678. https://doi.org/10.1016/j.colsurfb.2014.10.008 · DOI
- Petersen, E. J., Henry, T. B., Zhao, J. et al. (2014). Identification and avoidance of potential artifacts and misinterpretations in nanomaterial ecotoxicity measurements. Environ Sci Technol 48, 4226-4246. https://doi.org/10.1021/es4052999 · DOI
- Poland, C., Miller, M., Duffin, R. et al. (2014). The elephant in the room: Reproducibility in toxicology. Part Fibre Toxicol 11, 42. https://doi.org/10.1186/s12989-014-0042-8 · DOI
- Rösslein, M., Elliott, J. T., Salit, M. L. et al. (2014). The use of cause-and-effect analysis to design a high quality nano-cyto- toxicology assay. Chem Res Toxicol 27, 1877-1884. https:// doi.org/10.1021/tx500327y · DOI · Paper page
- Sager, T. M., Porter, D. W., Robinson, V. A. et al. (2007). Im- proved method to disperse nanoparticles for in vitro and in vivo investigation of toxicity. Nanotoxicology 1, 118-129. https://doi.org/10.1080/17435390701381596 · DOI
- Sauer, U. G., Vogel, S., Hess, A. et al. (2013). In vivo-in vitro comparison of acute respiratory tract toxicity using human 3D airway epithelial models and human A549 and murine 3T3 monolayer cell systems. Toxicol In Vitro 27, 174-190. https://doi.org/10.1016/j.tiv.2012.10.007 · DOI
- Schrurs, F. and Lison, D. (2012). Focusing the research efforts. Nat Nano 7, 546-548. https://doi.org/10.1038/nnano.2012.148 · DOI · Paper page
- Schulze, C., Kroll, A., Lehr, C. M. et al. (2008). Not ready to use -overcoming pitfalls when dispersing nanoparticles in physiological media. Nanotoxicology 2, 51-U17. https://doi. org/10.1080/17435390802018378 · DOI
- Shen, M. W., Wang, S. H., Shi, X. Y. et al. (2009). Poly- ethyleneimine-mediated functionalization of multiwalled carbon nanotubes: Synthesis, characterization, and in vitro toxicity assay. J Phys Chem C 113, 3150-3156. https://doi. org/10.1021/jp809323e · DOI
- Tantra, R., Tompkins, J. and Quincey, P. (2010). Characterisa- tion of the de-agglomeration effects of bovine serum albumin on nanoparticles in aqueous suspension. Colloids Surf B 75, 275-281. https://doi.org/10.1016/j.colsurfb.2009.08.049 · DOI
- Teeguarden, J. G., Hinderliter, P. M., Orr, G. et al. (2007). Par- ticokinetics in vitro: Dosimetry considerations for in vitro nanoparticle toxicity assessments. Toxicol Sci 95, 300-312. https://doi.org/10.1093/toxsci/kfl165 · DOI
- Thompson, M. and Ellison, S. L. R. (2011). Dark uncertainty. Accredit Qual Assur 16, 483-487. https://doi.org/10.1007/ s00769-011-0803-0 · DOI
- Krug, H. F. (2014). Nanosafety research -are we on the right track? Angew Chem Int Edit 53, 12304-12319. https://doi. org/10.1002/anie.201403367 · DOI
- Kwon, D., Park, J., Park, J. et al. (2014). Effects of surface-mod- ifying ligands on the colloidal stability of ZnO nanoparticle dispersions in in vitro cytotoxicity test media. Int J Nanomed- icine 9, 57-65. https://doi.org/10.2147/ijn.s57924 · DOI
- Landsiedel, R., Kapp, M. D., Schulz, M. et al. (2009). Genotox- icity investigations on nanomaterials: Methods, preparation and characterization of test material, potential artifacts and limitations -many questions, some answers. Mut Res 681, 241-258. https://doi.org/10.1016/j.mrrev.2008.10.002 · DOI
- Landsiedel, R., Sauer, U. G., Ma-Hock, L. et al. (2014). Pul- monary toxicity of nanomaterials: A critical comparison of published in vitro assays and in vivo inhalation or instillation studies. Nanomedicine 9, 2557-2585. https://doi.org/10.2217/ nnm.14.149 · DOI
- Lundqvist, M., Stigler, J., Elia, G. et al. (2008). Nanoparticle size and surface properties determine the protein corona with possible implications for biological impacts. Proc Natl Acad Sci U S A 105, 14265-14270. https://doi.org/10.1073/ pnas.0805135105 · DOI
- Lunn, D., Spiegelhalter, D., Thomas, A. et al. (2009). The BUGS project: Evolution, critique and future directions. Stat Med 28, 3049-3067. https://doi.org/10.1002/sim.3680 · DOI · Paper page
- Ma-Hock, L., Strauss, V., Treumann, S. et al. (2013). Com- parative inhalation toxicity of multi-wall carbon nanotubes, graphene, graphite nanoplatelets and low surface carbon black. Part Fibre Toxicol 10, https://doi.org/10.1186/1743- 8977-10-23 · DOI
- Miller, G. W. (2014). Improving reproducibility in toxicology. Toxicol Sci 139, 1-3. https://doi.org/10.1093/toxsci/kfu050 · DOI
- Monteiro-Riviere, N. A., Inman, A. O. and Zhang, L. W. (2009). Limitations and relative utility of screening assays to assess engineered nanoparticle toxicity in a human cell line. Toxi- col Appl Pharm 234, 222-235. https://doi.org/10.1016/j. taap.2008.09.030 · DOI · Paper page
- Murdock, R. C., Braydich-Stolle, L., Schrand, A. M. et al. (2008). Characterization of nanomaterial dispersion in solu- tion prior to in vitro exposure using dynamic light scattering technique. Toxicol Sci 101, 239-253. https://doi.org/10.1093/ toxsci/kfm240 · DOI
- Nel, A., Xia, T., Madler, L. et al. (2006). Toxic potential of materials at the nanolevel. Science 311, 622-627. https://doi. org/10.1126/science.1114397 · DOI · Paper page
- Nel, A. E., Nasser, E., Godwin, H. et al. (2013). A multi-stake- holder perspective on the use of alternative test strategies for nanomaterial safety assessment. ACS Nano 7, 6422-6433. https://doi.org/10.1021/nn4037927 · DOI
- Nemmar, A., Hoylaerts, M. F., Hoet, P. H. M. et al. (2003). Size effect of intratracheally instilled particles on pulmonary inflammation and vascular thrombosis. Toxicol Appl Pharm 186, 38-45. https://doi.org/10.1016/s0041-008x(02)00024-8 Correspondence to John T. Elliott Biosystems and Biomaterials Division Material Measurement Laboratory National Institute of Standards and Technology 100 Bureau Dr. Gaithersburg, MD 20899, United States Phone: +1 301 975 8551 e-mail: john.elliott@nist.gov 553-563. https://doi.org/10.1007/s00769-009-0547-2 · DOI
- Toman, B., Rösslein, M., Elliott, J. T. et al. (2016). Estima- tion and uncertainty analysis of dose response in an in- ter-laboratory experiment. Metrologia 53, S40. https://doi. org/10.1088/0026-1394/53/1/S40 · DOI
- Wagner, V., Dullaart, A., Bock, A.-K. et al. (2006). The emerg- ing nanomedicine landscape. Nat Biotech 24, 1211-1217. https://doi.org/http://www.nature.com/nbt/journal/v24/n10/ suppinfo/nbt1006-1211_S1.html
- Warheit, D. B. and Donner, E. M. (2015). How meaningful are risk determinations in the absence of a complete dataset? Making the case for publishing standardized test guideline and 'no effect' studies for evaluating the safety of nanopartic- ulates versus spurious 'high effect' results from single inves- tigative studies. Sci Technol Adv Mat 16, 034603. https://doi. org/10.1088/1468-6996/16/3/034603 · DOI
- Xia, T., Hamilton, R. F., Bonner, J. C. et al. (2013). Interlab- oratory evaluation of in vitro cytotoxicity and inflammatory responses to engineered nanomaterials: The NIEHS nano GO consortium. Environ Health Perspect 121, 683-690. https:// doi.org/https://doi.org/10.1289/ehp.1306561 · DOI
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“The finding of significant interlaboratory variability is also consistent with previous attempts to replicate identical protocols across multiple sites for animal (Crabbe et al., 1999) and cell line studies (Elliott et al., 2017; Niepel et al., 2019).”
- Authors
- Elliott, J.
- Affiliations
- National Institute of Standards and Technology (US)
- Corresponding author
- Elliott, John
- ORCID
- Elliott, John
- Venue
- ALTEX
- Publisher
- ALTEX Edition
- Published
- 2017
- Volume
- 34
- Issue
- 2
- Pages
- 201-218
- ISSN
- 0946-7785 (ISSN-L)
- 1868-596X
- OpenAlex
- W2426712039
- Cited by
- 84
- References
- 4
- Citations by year
- 2026: 9 · 2025: 3 · 2024: 5 · 2023: 5 · 2022: 19 · 2021: 11 · 2020: 12 · 2019: 7 · 2018: 8 · 2017: 4
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- ALTEX (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DORA Empa (Swiss Federal Laboratories for Materials Science and Technology (Empa)) (submittedVersion, cc-by)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion)
- Infoscience (Ecole Polytechnique Fédérale de Lausanne) (submittedVersion, cc-by-nc-nd)
- Funders
- Ministry of Science, ICT and Future Planning (2014M3A7B6020163, NRF-2014M3A7B6020163)
- Competence Centre for Materials Science and Technology
- National Institute of Standards and Technology
- Center for Nanoscale Science and Technology
- Topics
- Physical Sciences › Materials Science › Materials Chemistry › Nanoparticles: synthesis and applications
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Physical Sciences › Engineering › Biomedical Engineering › Graphene and Nanomaterials Applications
- Keywords
- interlaboratory comparison, assay harmonization, A549 cells, polystyrene nanoparticles, cadmium sulfate, EC50, measurement control, assay robustness, engineered nanomaterials, 96-well plate assay
- MeSH terms
- A549 Cells, Humans, Laboratories, Polystyrenes, Reproducibility of Results, Hazardous Substances, Toxicity Tests, Nanoparticles
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