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MALDI-TOF Mass Spectrometry

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.
Matrix-assisted laser desorption ionization (MALDI) is a commonly...

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Full Native timsTOF PASEF-Enabled Quantitative Proteomics with the i2MassChroQ Software Package.

Olivier Langella¹, Thomas Renne¹, Thierry Balliau¹

¹GQE-Le Moulon, Université Paris-Saclay, INRAE, CNRS, AgroParisTech, IDEEV, 12, Route 128, Gif-sur-Yvette F-91272, France.

Journal of Proteome Research

|July 17, 2024

Summary

This summary is machine-generated.

A new Free Open Source Software (FOSS) solution, i2MassChroQ, efficiently processes Bruker timsTOF data for proteomics. It offers superior feature extraction and protein quantification dynamic range compared to existing software.

Keywords:

C++DDA bottom-up proteomics Free Software ion mobility mass spectrometry quantitative proteomics software timsTOF

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Area of Science:

Proteomics
Mass Spectrometry
Bioinformatics

Background:

Ion mobility mass spectrometry (IM-MS) is increasingly utilized in proteomics.
Bruker timsTOF instruments generate large datasets requiring specialized software for analysis.
The open release of the timsTOF data format by Bruker enables community-driven software development.

Purpose of the Study:

To develop the first Free Open Source Software (FOSS) solution for native timsTOF data processing.
To create an integrated software environment for quantitative proteomics analysis of timsTOF data.
To introduce i2MassChroQ, a software tool for peptide identification, protein inference, and quantification.

Main Methods:

Development of i2MassChroQ, a FOSS software package.
Native reading and low-level processing of timsTOF data.
Benchmarking i2MassChroQ against existing proteomics software.

Main Results:

i2MassChroQ demonstrated superior feature extraction capabilities.
The software achieved a wider protein quantitative dynamic range.
Improved protein quantification was observed in both technical replicates and differential abundance analyses.

Conclusions:

i2MassChroQ provides a powerful FOSS solution for timsTOF data analysis in proteomics.
The software enhances the efficiency and scope of quantitative proteomics studies.
This development facilitates broader access to advanced proteomics data processing capabilities.