Systems and Methods for the Analysis of Proximity Binding Assay Data
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    发明申请
    Systems and Methods for the Analysis of Proximity Binding Assay Data 审中-公开
    近似结合分析数据分析系统与方法

    公开(公告)号:US20130304390A1

    公开(公告)日:2013-11-14

    申请号:US13885995

    申请日:2011-11-16

    IPC分类号: G06F19/18

    CPC分类号: G16B20/00 G16B40/00

    摘要: A proximity binding assay (PBA) is performed on at least one test sample, at least one reference sample, a background sample, and one or more calibration samples using a thermal cycler instrument. Ct values are determined for at least one set of test sample data and at least one set of reference sample data. Background corrected Ct values are calculated using a corresponding value in a background sample data set. A linear range is determined for the background corrected Ct values as a function of sample quantity. A linear regression line is calculated for each linear range. One or more parameter values of an exponential model (EM) fold change formula are estimated from the one or more sets of calibration sample data. A target protein quantity and associated confidence interval are calculated using the linear regression lines and the EM fold change formula.

    摘要翻译: 使用热循环仪在至少一个测试样品,至少一个参考样品,背景样品和一个或多个校准样品上进行接近结合测定(PBA)。 对于至少一组测试样本数据和至少一组参考样本数据确定Ct值。 使用背景样本数据集中的对应值计算背景校正的Ct值。 确定背景校正的Ct值作为样品量的函数的线性范围。 对于每个线性范围计算线性回归线。 从一个或多个校准样本数据组估计指数模型(EM)倍数变化公式的一个或多个参数值。 使用线性回归线和EM倍数变化公式计算靶蛋白质量和相关置信区间。