Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics.
Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics.
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DOI：
10.1186/1471-2105-13-s16-s9
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发表时间：
2012
影响因子：
3
通讯作者：
Carr SA
中科院分区：
文献类型：
--
作者：
Mani DR;Abbatiello SE;Carr SA
具有稳定同位素稀释（SID）的多反应监测质谱（MRM-MS）越来越成为用于定量蛋白质和肽的广泛接受的测定。这些测定在候选生物标志物的相对高通量验证中显示出巨大的前景。虽然MRM-MS测定法的使用在小分子领域中已得到很好的确立，但其在蛋白质组学中的引入和使用相对较新。因此，用于分析来自蛋白质和肽的MRM-MS数据的统计和计算方法仍在开发中。基于我们在分析广泛的SID-MRM-MS数据方面的丰富经验，我们提出了一种分析方法，包括数据质量评估、测定表征（包括校准曲线）、检测限（LOD）和定量限（LOQ）以及实验室内和实验室间精密度测量等重要方面。我们利用公开的种子数据集来说明我们的方法和算法。
Multiple reaction monitoring mass spectrometry (MRM-MS) with stable isotope dilution (SID) is increasingly becoming a widely accepted assay for the quantification of proteins and peptides. These assays have shown great promise in relatively high throughput verification of candidate biomarkers. While the use of MRM-MS assays is well established in the small molecule realm, their introduction and use in proteomics is relatively recent. As such, statistical and computational methods for the analysis of MRM-MS data from proteins and peptides are still being developed. Based on our extensive experience with analyzing a wide range of SID-MRM-MS data, we set forth a methodology for analysis that encompasses significant aspects ranging from data quality assessment, assay characterization including calibration curves, limits of detection (LOD) and quantification (LOQ), and measurement of intra- and interlaboratory precision. We draw upon publicly available seminal datasets to illustrate our methods and algorithms.