Name
Title | ||
|---|---|---|
Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1186/1471-2105-13-S16-S9 | BMC Bioinformatics |
Keywords | Field | DocType |
limit of detection,proteomics,isotopes,algorithms,mass spectrometry,microarrays,proteins,bioinformatics | Detection limit,Selected reaction monitoring,Proteomics,Biology,Quantitative proteomics,Mass spectrometry,Bioinformatics,Indicator dilution technique,DNA microarray | Journal |
Volume | Issue | ISSN |
13 | S16 | 1471-2105 |
Citations | PageRank | References |
2 | 0.58 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| D. R. Mani | 1 | 81 | 20.82 |
| Susan E Abbatiello | 2 | 4 | 1.13 |
| Steven A Carr | 3 | 4 | 1.13 |