RelEx
RelEx converts mass spectrometry-derived peptide ion current ratios into relative protein abundances for quantitative shotgun proteomics.
Key Features:
- Least-Squares Regression: Employs least-squares regression to calculate peptide ion current ratios from mass spectrometry-derived ion chromatograms.
- Signal-to-Noise Tolerance: Handles poor signal-to-noise data to maintain quantification robustness across variable chromatogram quality.
- Automatic Data Quality Control: Automatically discards nonusable chromatograms and outlier peptide ratios to improve data quality.
- Systematic Error Correction: Applies a correction mechanism that improves quantitative accuracy by approximately 32% with a standard deviation of ±4%.
Scientific Applications:
- ICAT and Stable Isotope Labeling: Processes data from chemical tagging strategies such as ICAT and metabolic labeling with stable isotopes for relative quantification.
- High-Throughput Quantitative Proteomics: Converts large volumes of peptide ion current data into protein-level abundance estimates suitable for high-throughput studies.
- Validation and Biological Measurement: Has been validated with labeled mixtures of known molar ratios and applied to measure osmotic stress–induced protein expression changes in Saccharomyces cerevisiae.
Methodology:
Processes mass spectrometry ion chromatograms, applies least-squares regression to derive peptide ion current ratios, discards nonusable chromatograms and outlier ratios, and applies a systematic error correction that yields the reported accuracy improvement.
Topics
Collections
Details
- Tool Type:
- desktop application
- Added:
- 1/17/2017
- Last Updated:
- 3/26/2019
Operations
Publications
MacCoss MJ, et al. A correlation algorithm for the automated quantitative analysis of shotgun proteomics data. Anal Chem. 2003; 75:6912-21. doi: 10.1021/ac034790h
PMID: 14670053
Downloads
Links
Software catalogue
http://ms-utils.org