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An improved method for estimating antibody titers in microneutralization assay using green fluorescent protein

机译:一种使用绿色荧光蛋白的微中和测定中抗体效价估计的改进方法

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摘要

Viruses that express reporter genes upon infection have been recently used to evaluate neutralizing antibody responses, where a lack of reporter expression indicates specific virus inhibition. The traditional model-based methods using standard outcome of percent neutralization could be applied to the data from the assays to estimate antibody titers. However, the data produced are sometimes irregular, which can yield meaningless outcomes of percent neutralization that do not fit the typical curves for immunoassays, making automated or semi-high throughput antibody titer estimation unreliable. We developed a type of new outcomes model, which is biologically meaningful and fits typical immunoassay curves well. Our simulation study indicates that the new response approach outperforms the traditional response approach regardless of the data variability. The proposed new response approach can be used in similar assays for other disease models.
机译:感染后表达报告基因的病毒最近已用于评估中和抗体的反应,其中缺乏报告基因的表达表明有特定的病毒抑制作用。使用标准百分比中和结果的基于模型的传统方法可以应用于检测数据,以评估抗体效价。然而,产生的数据有时是不规则的,这可能会产生无意义的中和百分比结果,这些结果与免疫测定的典型曲线不符,从而使自动化或半高通量抗体效价估计不可靠。我们开发了一种新的结局模型,该模型具有生物学意义,非常适合典型的免疫测定曲线。我们的仿真研究表明,无论数据如何变化,新的响应方法都优于传统的响应方法。所提出的新反应方法可以用于其他疾病模型的类似测定中。

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