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