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Related Experiment Video

Updated: Jun 29, 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

Improved proteome coverage by using iTRAQ labelling and peptide OFFGEL fractionation.

Emilie Ernoult1, Erick Gamelin, Catherine Guette

  • 1Centre INSERM Régional de Recherche sur le Cancer U, Angers, France. emi.ernoult@wanadoo.fr

Proteome Science
|October 15, 2008
PubMed
Summary

This study introduces a new shotgun proteomics method using isobaric tag for relative and absolute quantitation (iTRAQ) labeling and OFFGEL electrophoresis. This approach improves the identification of low-concentration proteins in complex biological samples.

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Last Updated: Jun 29, 2026

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples
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Comprehensive Workflow of Mass Spectrometry-based Shotgun Proteomics of Tissue Samples

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Biochemistry

Background:

  • Investigating complex protein mixtures from tissues is challenging due to wide dynamic concentration ranges.
  • Advanced mass spectrometry and fractionation methods are crucial for proteomic analysis.

Purpose of the Study:

  • To present a novel shotgun proteomics method combining iTRAQ labeling and OFFGEL electrophoresis.
  • To enhance the identification of low-concentration proteins in complex samples.

Main Methods:

  • Peptide fractionation using OFFGEL electrophoresis.
  • Isobaric tag for relative and absolute quantitation (iTRAQ) labeling of peptides.
  • Shotgun proteomics approach.

Main Results:

  • iTRAQ labeling enhances MALDI ionization efficiency.
  • OFFGEL fractionation adds isoelectric point (pI) as a validation criterion for protein identification.
  • iTRAQ-labeled samples enabled identification of lower-concentrated proteins compared to unlabeled samples.

Conclusions:

  • The combination of iTRAQ labeling and OFFGEL fractionation significantly increases proteome coverage for complex samples.
  • This method effectively supports the identification of low-concentration proteins.