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Updated: Oct 29, 2025

Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
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Analysis of Label-Based Quantitative Proteomics Data Using IsoProt.

Johannes Griss1, Veit Schwämmle2

  • 1Department of Dermatology, Medical University of Vienna, Vienna, Austria. johannes.griss@meduniwien.ac.at.

Methods in Molecular Biology (Clifton, N.J.)
|July 8, 2021
PubMed
Summary
This summary is machine-generated.

Isobaric labeling is crucial for quantitative mass spectrometry proteomics. This study details analyzing isobaric labeling data, focusing on quality control and potential issues within the IsoProt workflow.

Keywords:
BioinformaticsIsoProtIsobaric labelingMass spectrometryQuantitative proteomicsTMTiTRAQ

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Area of Science:

  • Proteomics
  • Mass Spectrometry
  • Quantitative Biology

Background:

  • Isobaric labeling is a key technique for high-throughput quantitative proteomics.
  • It enables protein measurement across multiple samples, enhancing experimental efficiency.
  • Accurate data analysis is vital for reliable proteomic insights.

Purpose of the Study:

  • To provide a detailed protocol for analyzing isobaric labeling mass spectrometry data.
  • To emphasize quality control measures and identify potential pitfalls in data analysis.
  • To present the IsoProt workflow as an integrated solution for isobaric labeling data.

Main Methods:

  • Analysis of isobarically labeled mass spectrometry data.
  • Focus on quality control procedures specific to this technique.
  • Utilizing the fully integrated IsoProt workflow.

Main Results:

  • The IsoProt workflow offers a structured approach to data analysis.
  • Identified critical quality control points for reliable proteomic quantification.
  • Highlighted common pitfalls to avoid during data interpretation.

Conclusions:

  • Effective quality control is essential for accurate isobaric labeling mass spectrometry analysis.
  • The IsoProt workflow provides a robust method for high-throughput proteomics.
  • The principles discussed are broadly applicable to various isobaric labeling experiments.