Monte Carlo simulation of the Spearman-Kaerber TCID50.
Monte Carlo simulation of the Spearman-Kaerber TCID50.
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DOI：
10.1186/2043-9113-2-5
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发表时间：
2012-02-13
期刊：
影响因子：
--
通讯作者：
Young PJ
中科院分区：
文献类型：
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作者：
Wulff NH;Tzatzaris M;Young PJ
在生物科学中，TCID50（中位组织培养感染剂量）测定常用于确定病毒的强度。当使用所谓的Spearman-Kaerber计算时，pfu（斑块形成单位的数量，病毒颗粒的有效数量）与TCID50之间的比值在理论上接近欧拉常数的简单函数。此外，TCID50的对数的标准偏差接近稀释因子的简单函数和用于测定测定中比率的井数。然而，这些理论计算假设分析的稀释度是独立的，在实践中这是不完全正确的。采用蒙特卡罗技术模拟该实验。我们的模拟研究表明，理论结果实际上适用于该分析的实际实现。此外，仿真研究表明，TCID50的（对数）分布虽然是离散的，但与正态分布有密切的关系。使用Spearman-Kaerber计算方法时，pfu与TCID50滴度成正比，因子约为0.56。正态分布可用于统计推断和方差分析，在群体规模为5及以上时，TCID50值的对数有意义。
In the biological sciences the TCID50 (median tissue culture infective dose) assay is often used to determine the strength of a virus. 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. 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. 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.