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Monte Carlo simulation of the Spearman-Kaerber TCID50

BACKGROUND: In the biological sciences the TCID50 (median tissue culture infective dose) assay is often used to determine the strength of a virus. METHODS: When the so-called Spearman-Kaerber calculation is used, the ratio between the pfu (the number of plaque forming units, the effective number of...

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Detalles Bibliográficos
Autores principales: Wulff, Niels H, Tzatzaris, Maria, Young, Philip J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3331834/
https://www.ncbi.nlm.nih.gov/pubmed/22330733
http://dx.doi.org/10.1186/2043-9113-2-5
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author Wulff, Niels H
Tzatzaris, Maria
Young, Philip J
author_facet Wulff, Niels H
Tzatzaris, Maria
Young, Philip J
author_sort Wulff, Niels H
collection PubMed
description BACKGROUND: In the biological sciences the TCID50 (median tissue culture infective dose) assay is often used to determine the strength of a virus. METHODS: When the so-called Spearman-Kaerber calculation is used, the ratio between the pfu (the number of plaque forming units, the effective number of virus particles) and the TCID50, theoretically approaches a simple function of Eulers constant. Further, the standard deviation of the logarithm of the TCID50 approaches a simple function of the dilution factor and the number of wells used for determining the ratios in the assay. However, these theoretical calculations assume that the dilutions of the assay are independent, and in practice this is not completely correct. The assay was simulated using Monte Carlo techniques. RESULTS: Our simulation studies show that the theoretical results actually hold true for practical implementations of the assay. Furthermore, the simulation studies show that the distribution of the (the log of) TCID50, although discrete in nature, has a close relationship to the normal distribution. CONCLUSION: The pfu is proportional to the TCID50 titre with a factor of about 0.56 when using the Spearman-Kaerber calculation method. The normal distribution can be used for statistical inferences and ANOVA on the (the log of) TCID50 values is meaningful with group sizes of 5 and above.
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spelling pubmed-33318342012-04-23 Monte Carlo simulation of the Spearman-Kaerber TCID50 Wulff, Niels H Tzatzaris, Maria Young, Philip J J Clin Bioinforma Research BACKGROUND: In the biological sciences the TCID50 (median tissue culture infective dose) assay is often used to determine the strength of a virus. METHODS: When the so-called Spearman-Kaerber calculation is used, the ratio between the pfu (the number of plaque forming units, the effective number of virus particles) and the TCID50, theoretically approaches a simple function of Eulers constant. Further, the standard deviation of the logarithm of the TCID50 approaches a simple function of the dilution factor and the number of wells used for determining the ratios in the assay. However, these theoretical calculations assume that the dilutions of the assay are independent, and in practice this is not completely correct. The assay was simulated using Monte Carlo techniques. RESULTS: Our simulation studies show that the theoretical results actually hold true for practical implementations of the assay. Furthermore, the simulation studies show that the distribution of the (the log of) TCID50, although discrete in nature, has a close relationship to the normal distribution. CONCLUSION: The pfu is proportional to the TCID50 titre with a factor of about 0.56 when using the Spearman-Kaerber calculation method. The normal distribution can be used for statistical inferences and ANOVA on the (the log of) TCID50 values is meaningful with group sizes of 5 and above. BioMed Central 2012-02-13 /pmc/articles/PMC3331834/ /pubmed/22330733 http://dx.doi.org/10.1186/2043-9113-2-5 Text en Copyright ©2012 Wulff et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Wulff, Niels H
Tzatzaris, Maria
Young, Philip J
Monte Carlo simulation of the Spearman-Kaerber TCID50
title Monte Carlo simulation of the Spearman-Kaerber TCID50
title_full Monte Carlo simulation of the Spearman-Kaerber TCID50
title_fullStr Monte Carlo simulation of the Spearman-Kaerber TCID50
title_full_unstemmed Monte Carlo simulation of the Spearman-Kaerber TCID50
title_short Monte Carlo simulation of the Spearman-Kaerber TCID50
title_sort monte carlo simulation of the spearman-kaerber tcid50
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3331834/
https://www.ncbi.nlm.nih.gov/pubmed/22330733
http://dx.doi.org/10.1186/2043-9113-2-5
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