4.2 Article

Validation and comparison of two multiplex technologies, Luminex (R) and Mesoscale Discovery, for human cytokine profiling

期刊

JOURNAL OF IMMUNOLOGICAL METHODS
卷 340, 期 1, 页码 55-64

出版社

ELSEVIER SCIENCE BV
DOI: 10.1016/j.jim.2008.10.002

关键词

Multiplex; Cytokine; Validation

资金

  1. Cancer Research UK [4293] Funding Source: researchfish

向作者/读者索取更多资源

Biomarker research has rapidly expanded over recent years aided by the progressive development of research tools, in particular the different multiplex technologies allowing simultaneous measurement of multiple analytes. It is foreseeable that such technology will have an integral role in clinical studies for establishing biomarker profiles of disease status, but validation of the tools is essential to confirm the reliability of their application. More comparable studies between multiplex platforms are required to enable users to determine which of these are best for a particular clinical study, as different platforms will have varying levels of performance for the validation parameters. Comparison of two multiplex platforms, the Luminex (R) and the Mesoscale Discovery, has been performed to determine their performance for the validation parameters of sensitivity, precision and accuracy for the cytokines IL-2, IL-4, IL-8, IL-10, IL-12, IFN gamma and TNF alpha. When measuring high concentrations both platforms show good accuracy (within +/-25% recovery) with all cytokines except IL-12 for the MSD. At low concentrations, +/-25% recovery was seen with all cytokines except IL-2 and 118 for the Luminex and IL-2 and IL-12 for the MSD. Although quantitative differences are found, relative differences are comparable, and consequently both platforms have been shown to be suitable for analyzing trends in multiple cytokine profiles, with the Luminex having better precision and the Mesoscale Discovery having greater sensitivity. (c) 2008 Elsevier B.V. All rights reserved.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.2
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据