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In Vitro Cytotoxicity and Cell Viability Assays: Principles, Advantages, and Disadvantages
Open accessAbstract
Cytotoxicity is one of the most important indicators for biological evaluation in vitro studies. In vitro, chemicals such as drugs and pesticides have different cytotoxicity mechanisms such as destruction of cell membranes, prevention of protein synthesis, irreversible binding to receptors etc. In order to determine the cell death caused by these damages, there is a need for cheap, reliable and reproducible short-term cytotoxicity and cell viability assays. Cytotoxicity and cell viability assays are based on various cell functions. A broad spectrum of cytotoxicity assays is currently used in the fields of toxicology and pharmacology. There are different classifications for these assays: (i) dye exclusion assays; (ii) colorimetric assays; (iii) fluorometric assays; and (iv) luminometric assays. Choosing the appropriate method among these assays is important for obtaining accurate and reliable results. When selecting the cytotoxicity and cell viability assays to be used in the study, different parameters have to be considered such as the availability in the laboratory where the study is to be performed, test compounds, detection mechanism, specificity, and sensitivity. In this chapter, information will be given about in vitro cytotoxicity and viability assays, these assays will be classified and their advantages and disadvantages will be emphasized. The aim of this chapter is to guide the researcher interested in this subject to select the appropriate assay for their study.
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Cites
Mosmann, T. (1983) · Journal of Immunological Methods · doi:10.1016/0022-1759(83)90303-4 · Cited by 56,104
New Colorimetric Cytotoxicity Assay for Anticancer-Drug Screening
Skehan, P., Storeng, R., Scudiero, D., Monks, A., McMahon, J., Vistica, D., Warren, J. T., Bokesch, H., Kenney, S., & Boyd, M. R. (1990) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/82.13.1107 · Cited by 9,766
O'Brien, J., Wilson, I., Orton, T., & Pognan, F. (2000) · European Journal of Biochemistry · doi:10.1046/j.1432-1327.2000.01606.x · Cited by 3,446
Mixed Lineage Kinase Domain-like Protein Mediates Necrosis Signaling Downstream of RIP3 Kinase
Sun, L., Wang, H., Wang, Z., He, S., Chen, S., Liao, D., Wang, L., Yan, J., Liu, W., Lei, X., et al. (2012) · Cell · doi:10.1016/j.cell.2011.11.031 · Cited by 2,698
Trypan Blue Exclusion Test of Cell Viability
Strober, W. (2015) · Current Protocols in Immunology · doi:10.1002/0471142735.ima03bs111 · Cited by 2,597
Scudiero, D. A., Shoemaker, R. H., Paull, K. D., Monks, A. P., Tierney, S., Nofziger, T. H., Currens, M. J., Seniff, D. A., & Boyd, M. R. (1988) · PubMed · Cited by 2,342
Neutral red uptake assay for the estimation of cell viability/cytotoxicity
Repetto, G., del Peso, A., & Zurita, J. L. (2008) · Nature Protocols · doi:10.1038/nprot.2008.75 · Cited by 2,207
Identification of RIP1 kinase as a specific cellular target of necrostatins
Degterev, A., Hitomi, J., Germscheid, M., Ch'en, I. L., Korkina, O., Teng, X., Abbott, D., Cuny, G. D., Yuan, C., Wagner, G., et al. (2008) · Nature Chemical Biology · doi:10.1038/nchembio.83 · Cited by 2,059
Fotakis, G., & Timbrell, J. A. (2006) · Toxicology Letters · doi:10.1016/j.toxlet.2005.07.001 · Cited by 1,558
Use of an Aqueous Soluble Tetrazolium/Formazan Assay for Cell Growth Assays in Culture
Cory, A. H., Owen, T. C., Barltrop, J. A., & Cory, J. G. (1991) · Cancer Communications · doi:10.3727/095535491820873191 · Cited by 1,519
Decker, T., & Lohmann-Matthes, M.-L. (1988) · Journal of Immunological Methods · doi:10.1016/0022-1759(88)90310-9 · Cited by 1,359
Ansar Ahmed, S., Gogal, R. M., & Walsh, J. E. (1994) · Journal of Immunological Methods · doi:10.1016/0022-1759(94)90396-4 · Cited by 1,359
Trypan Blue Exclusion Test of Cell Viability
Strober, W. (1997) · Current Protocols in Immunology · doi:10.1002/0471142735.ima03bs21 · Cited by 1,345
Crystal Violet Assay for Determining Viability of Cultured Cells
Feoktistova, M., Geserick, P., & Leverkus, M. (2016) · Cold Spring Harbor Protocols · doi:10.1101/pdb.prot087379 · Cited by 887
A simple quantitative procedure using monolayer cultures for cytotoxicity assays (HTD/NR-90)
Borenfreund, E., & Puerner, J. A. (1985) · Journal of Tissue Culture Methods · doi:10.1007/bf01666038 · Cited by 883
Feoktistova, M., Geserick, P., Kellert, B., Dimitrova, D. P., Langlais, C., Hupe, M., Cain, K., MacFarlane, M., Häcker, G., & Leverkus, M. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.06.011 · Cited by 860
ISHIYAMA, M., TOMINAGA, H., SHIGA, M., SASAMOTO, K., OHKURA, Y., & UENO, K. (1996) · Biological and Pharmaceutical Bulletin · doi:10.1248/bpb.19.1518 · Cited by 737
A water-soluble tetrazolium salt useful for colorimetric cell viability assay
Tominaga, H., Ishiyama, M., Ohseto, F., Sasamoto, K., Hamamoto, T., Suzuki, K., & Watanabe, M. (1999) · Analytical Communications · doi:10.1039/a809656b · Cited by 716
A NEW FLUOROMETRIC ASSAY FOR CYTOTOXICITY MEASUREMENTS IN-VITRO
PAGE, B., PAGE, M., & NOEL, C. (1993) · International Journal of Oncology · doi:10.3892/ijo.3.3.473 · Cited by 583
Basic Colorimetric Proliferation Assays: MTT, WST, and Resazurin
Präbst, K., Engelhardt, H., Ringgeler, S., & Hübner, H. (2017) · Methods in Molecular Biology · doi:10.1007/978-1-4939-6960-9_1 · Cited by 506
A New Sulfonated Tetrazolium Salt That Produces a Highly Water-Soluble Formazan Dye.
ISHIYAMA, M., SHIGA, M., SASAMOTO, K., MIZOGUCHI, M., & HE, P.-G. (1993) · Chemical and Pharmaceutical Bulletin · doi:10.1248/cpb.41.1118 · Cited by 488
Methods of in vitro toxicology
Eisenbrand, G., Pool-Zobel, B., Baker, V, Balls, M., Blaauboer, B. J., Boobis, A., Carere, A., Kevekordes, S., Lhuguenot, J.-C., Pieters, R., et al. (2002) · Food and Chemical Toxicology · doi:10.1016/s0278-6915(01)00118-1 · Cited by 462
Development of in vitro systems for nanotoxicology: methodological considerations
Stone, V., Johnston, H., & Schins, R. P. F. (2009) · Critical Reviews in Toxicology · doi:10.1080/10408440903120975 · Cited by 427
Buttke, T. M., McCubrey, J. A., & Owen, T. C. (1993) · Journal of Immunological Methods · doi:10.1016/0022-1759(93)90092-l · Cited by 323
Andreotti, P. E., Cree, I. A., Kurbacher, C. M., Hartmann, D. M., Linder, D., Harel, G., Gleiberman, I., Caruso, P. A., Ricks, S., & Untch, M. (1995) · PubMed · Cited by 278
Cellular IAPs inhibit a cryptic CD95-induced cell death by limiting RIP1 kinase recruitment
Geserick, P., Hupe, M., Moulin, M., Wong, W. W.-L., Feoktistova, M., Kellert, B., Gollnick, H., Silke, J., & Leverkus, M. (2009) · Journal of Cell Biology · doi:10.1083/jcb.200904158 · Cited by 246
Comparison of Cell Proliferation and Toxicity Assays Using Two Cationic Liposomes
Lappalainen, K., Jääskeläinen, I., Syrjänen, K., Urtti, A., & Syrjänen, S. (1994) · Pharmaceutical Research · doi:10.1023/a:1018932714745 · Cited by 238
Mueller, H., Kassack, M. U., & Wiese, M. (2004) · SLAS Discovery · doi:10.1177/1087057104265386 · Cited by 226
The Comparison of MTT and CVS Assays for the Assessment of Anticancer Agent Interactions
Śliwka, L., Wiktorska, K., Suchocki, P., Milczarek, M., Mielczarek, S., Lubelska, K., Cierpiał, T., Łyżwa, P., Kiełbasiński, P., Jaromin, A., et al. (2016) · PLOS ONE · doi:10.1371/journal.pone.0155772 · Cited by 190
Bopp, S. K., & Lettieri, T. (2008) · BMC Pharmacology · doi:10.1186/1471-2210-8-8 · Cited by 176
Schins, R. P. F., Duffin, R., Höhr, D., Knaapen, A. M., Shi, T., Weishaupt, C., Stone, V., Donaldson, K., & Borm, P. J. A. (2002) · Chemical Research in Toxicology · doi:10.1021/tx025558u · Cited by 168
Ripe fruits of Solanum nigrum L. inhibits cell growth and induces apoptosis in MCF-7 cells
Son, Y., Kim, J., Lim, J.-C., Chung, Y. J., Chung, G., & Lee, J.-C. (2003) · Food and Chemical Toxicology · doi:10.1016/s0278-6915(03)00161-3 · Cited by 158
Niles, A. L., Moravec, R. A., & Riss, T. (2009) · Current Chemical Genomics · doi:10.2174/1875397300903010033 · Cited by 157
Schreer, A., Tinson, C., Sherry, J. P., & Schirmer, K. (2005) · Analytical Biochemistry · doi:10.1016/j.ab.2005.06.009 · Cited by 117
Riss, T., & Moravec, R. (1992) · Molecular Biology of the Cell · Cited by 104
Krause, A. W., Carley, W. W., & Webb, W. W. (1984) · Journal of Histochemistry & Cytochemistry · doi:10.1177/32.10.6090533 · Cited by 93
Bioluminescent, Nonlytic, Real-Time Cell Viability Assay and Use in Inhibitor Screening
Duellman, S. J., Zhou, W., Meisenheimer, P. L., Vidugiris, G. J. A., Cali, J. J., Gautam, P., Wennerberg, K., & Vidugirienė, J. (2015) · Assay and Drug Development Technologies · doi:10.1089/adt.2015.669 · Cited by 88
GANASSIN, R. C., Schirmer, K., & Bols, N. C. (2000) · Elsevier eBooks · doi:10.1016/b978-012529650-2/50047-0 · Cited by 75
Berg, K., Zhai, L., Chen, M., Kharazmi, A., & Owen, T. C. (1994) · Parasitology Research · doi:10.1007/bf00932680 · Cited by 62
The dye-exclusion test for cell viability: Persistence of differential staining following fixation
Yip, D. K., & Auersperg, N. (1972) · In Vitro Cellular & Developmental Biology - Plant · doi:10.1007/bf02661722 · Cited by 50
Development of a solvent-free, solid-phase in vitro bioassay using vertebrate cells
Bopp, S. K., Bols, N. C., & Schirmer, K. (2006) · Environmental Toxicology and Chemistry · doi:10.1897/05-374r.1 · Cited by 28
Garcı́a, O., & Massieu, L. (2003) · Journal of Neuroscience Research · doi:10.1002/jnr.10825 · Cited by 28
Automated Handheld Instrument Improves Counting Precision Across Multiple Cell Lines
Johnston, G. (2010) · BioTechniques · doi:10.2144/000113407 · Cited by 22
Aslantürk, Ö. S., & Çeli̇k, T. A. (2013) · Caryologia · doi:10.1080/00087114.2013.850797 · Cited by 21
Self-citationrk, S. A. (2013) · African Journal of Pharmacy and Pharmacology · doi:10.5897/ajpp12.1149 · Cited by 14
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Kus-Liśkiewicz, M., Fickers, P., & Ben Tahar, I. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222010952 · Cited by 404
Samprasit, W., Opanasopit, P., & Chamsai, B. (2021) · Pharmaceutical Development and Technology · doi:10.1080/10837450.2021.1873370 · Cited by 50
Thoma, T., Löhr, L., Demuth, P., Hambruch, N., Oesch, F., & Landsiedel, R. (2026) · NAM Journal · doi:10.1016/j.namjnl.2026.100126
Metadata
- Authors
- Aslantürk, Ö. S.
- Venue
- Genotoxicity - A Predictable Risk to Our Actual World
- Publisher
- InTech
- Published
- 2018-07-11
- OpenAlex
- W2884313741
- Cited by
- 408
- References
- 45
- FWCI
- 208.80
- Type
- book chapter
- Language
- en
- Open access
- hybrid
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