Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics

BMC Bioinformatics

Research

Susan E Abbatiello¹  D R Mani¹  Steven A Carr¹ 

[1] The Broad Institute of MIT and Harvard, 7 Cambridge Center, 02142, Cambridge, MA, USA;

关键词: Multiple reaction monitoring mass spectrometry (MRM-MS);    stable isotope dilution (SID);    quantification;    interference detection;    limits of detection and quantification;    intra- and interlaboratory precision;   

DOI  :  10.1186/1471-2105-13-S16-S9

来源: Springer

【 摘 要 】

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.

【 授权许可】

CC BY   
© Mani et al.; licensee BioMed Central Ltd. 2012