Institute for Immunity, Transplantation, and Infection, Stanford University School of Medicine, Stanford, CA 94305;
Department of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305.
J Immunol. 2020 Jun 15;204(12):3425-3433. doi: 10.4049/jimmunol.2000017. Epub 2020 May 6.
Cytokines and other secreted soluble proteins are routinely assayed as fluorescence intensities on the Luminex (Luminex, Austin, TX) platform. As with any immunoassay, a portion of the measured Ab binding can be nonspecific. Use of spiked-in microbead controls (e.g., AssayChex Process, Control Panel; Radix Biosolutions, Georgetown, TX) can determine the level of nonspecific binding on a per specimen basis. A statistical approach for correction of this assay's nonspecific binding artifact was first described in earlier work. The current paper describes a novel utility written in the R language (https://www.r-project.org), that refines correction for nonspecific binding in three important ways: 1) via local polynomial regression, the utility allows for curvature in relationships between soluble protein median fluorescence intensities and nonspecific binding median fluorescence intensities; 2) to stabilize correction, the fit of the nonlinear regression function is obtained via repeated cross-validation; and 3) the utility addresses possible bias due to technical error in measured nonspecific binding. The utility first logarithm transforms and then removes plate/batch/lot artifacts from median fluorescence intensities prior to correction for nonspecific binding, even when plates/batches/lots are unbalanced with respect to experimental factors of interest. Continuous (e.g., age) and categorical (e.g., diagnosis) covariates are accommodated in plate/batch/lot artifact correction. We present application of the utility to a panel of 62 cytokines in a sample of human patients diagnosed with systemic sclerosis and to an experiment that examined multiple lots of a human 51-cytokine panel. The R script for our new utility is publicly available for download from the web.
细胞因子和其他分泌的可溶性蛋白通常在 Luminex(Luminex,Austin,TX)平台上作为荧光强度进行测定。与任何免疫测定一样,测量的 Ab 结合的一部分可能是非特异性的。使用掺入的微球对照(例如,AssayChex 过程,Control Panel;Radix Biosolutions,Georgetown,TX)可以确定基于每个标本的非特异性结合水平。之前的工作首次描述了一种用于校正该测定中非特异性结合伪影的统计方法。本文描述了一种用 R 语言(https://www.r-project.org)编写的新实用程序,该实用程序通过三种重要方式改进了非特异性结合的校正:1)通过局部多项式回归,该实用程序允许可溶性蛋白中值荧光强度和非特异性结合中值荧光强度之间的关系存在曲率;2)为了稳定校正,通过重复交叉验证获得非线性回归函数的拟合;3)该实用程序解决了由于测量的非特异性结合的技术误差可能导致的偏差。该实用程序首先对中值荧光强度进行对数转换,然后去除非特异性结合校正前的板/批次/批次伪影,即使板/批次/批次相对于感兴趣的实验因素不平衡也是如此。连续(例如年龄)和分类(例如诊断)协变量可用于板/批次/批次伪影校正。我们将该实用程序应用于一组 62 种人类系统性硬化症患者样本中的细胞因子,并应用于一个检测多个人类 51 种细胞因子面板批次的实验。我们新实用程序的 R 脚本可从网络上公开下载。