Related Experiment Video
Updated: Jun 13, 2025

10:37
Deep Proteome Profiling by Isobaric Labeling, Extensive Liquid Chromatography, Mass Spectrometry, and Software-assisted Quantification
Published on: November 15, 2017
11.9K
Analysis of isobaric quantitative proteomic data using TMT-Integrator and FragPipe computational platform.
Hui-Yin Chang1,2, Yamei Deng1, Ruohong Li1
1Department of Pathology, University of Michigan, Ann Arbor, MI, USA.
Biorxiv : the Preprint Server for Biology
|June 12, 2025
Summary
TMT-Integrator, a new bioinformatics tool, enhances quantitative proteomics by providing integrated reports from TMT and iTRAQ experiments. It demonstrates superior performance in protein and phosphosite quantification compared to existing methods.
Area of Science:
- Proteomics
- Bioinformatics
- Mass Spectrometry
Background:
- Isobaric mass tags like iTRAQ and TMT are essential for multiplex quantitative proteomics.
- Processing quantitative results from these experiments requires sophisticated bioinformatics tools.
Purpose of the Study:
- To introduce TMT-Integrator, a novel bioinformatics tool for processing TMT and iTRAQ quantitative proteomics data.
- To offer integrative analysis reports at multiple biological levels (gene, protein, peptide, PTM sites).
Main Methods:
- TMT-Integrator was integrated into the FragPipe computational platform.
- The performance of the FragPipe/TMT-Integrator pipeline was benchmarked against MaxQuant and Proteome Discoverer.
- Analysis utilized five diverse TMT datasets, including spike-in, clinical, and advanced reagent experiments.
Main Results:
- FragPipe/TMT-Integrator quantified more proteins in E. coli and ccRCC whole proteome datasets.
- More phosphorylated sites were identified in the ccRCC phosphoproteome dataset using this pipeline.
- The FragPipe/TMT-Integrator pipeline demonstrated more robust quantification performance.
Conclusions:
- TMT-Integrator is a valuable component for TMT and iTRAQ data analysis workflows.
- The FragPipe/TMT-Integrator pipeline offers enhanced performance in protein and phosphosite quantification.
- This tool provides comprehensive and robust analysis for multiplex quantitative proteomics.

