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Related Experiment Video

Updated: Jun 8, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
10:37

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification

Published on: November 15, 2017

Mass spectrometric protein identification using the global proteome machine.

David Fenyö1, Jan Eriksson, Ronald Beavis

  • 1The Rockefeller University, New York, NY, USA. fenyo@rockefeller.edu

Methods in Molecular Biology (Clifton, N.J.)
|September 14, 2010
PubMed
Summary

The Global Proteome Machine (GPM) aids protein identification and result validation in mass spectrometry. This study details GPM

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Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Area of Science:

  • Proteomics
  • Biochemistry
  • Mass Spectrometry

Background:

  • Mass spectrometry is a key technique in biological research for protein identification.
  • Accurate protein identification and result validation are crucial for reliable biological insights.

Purpose of the Study:

  • To demonstrate the utility of the Global Proteome Machine (GPM) for protein identification.
  • To outline methods for validating protein identification results obtained using GPM.

Main Methods:

  • Protein identification through searching comprehensive protein sequence databases.
  • Protein identification using spectral library searching.
  • Validation of identified proteins via expectation values, rho-diagrams, and spectrum databases.

Main Results:

  • The GPM facilitates robust protein identification from mass spectrometry data.
  • Utilizing expectation values, rho-diagrams, and spectrum databases enhances the confidence in identified proteins.
  • The described methods provide a framework for rigorous proteomic data analysis.

Conclusions:

  • The Global Proteome Machine is a valuable tool for both identifying and validating proteins.
  • Comprehensive validation strategies are essential for ensuring the accuracy of proteomic findings.
  • This work contributes to standardized and reliable protein identification workflows in biological research.