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

Ion mobility mass spectrometry has become popular in proteomics lately, in particular because the Bruker timsTOF instruments have found significant adoption in proteomics facilities. The Bruker’s implementation of the ion mobility dimension generates massive amounts of mass spectrometric data that r...

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Veröffentlicht in:Journal of proteome research 2024-08, Vol.23 (8), p.3353-3366
Hauptverfasser: Langella, Olivier, Renne, Thomas, Balliau, Thierry, Davanture, Marlène, Brehmer, Sven, Zivy, Michel, Blein-Nicolas, Mélisande, Rusconi, Filippo
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Sprache:eng
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Zusammenfassung:Ion mobility mass spectrometry has become popular in proteomics lately, in particular because the Bruker timsTOF instruments have found significant adoption in proteomics facilities. The Bruker’s implementation of the ion mobility dimension generates massive amounts of mass spectrometric data that require carefully designed software both to extract meaningful information and to perform processing tasks at reasonable speed. In a historical move, the Bruker company decided to harness the skills of the scientific software development community by releasing to the public the timsTOF data file format specification. As a proteomics facility that has been developing Free Open Source Software (FOSS) solutions since decades, we took advantage of this opportunity to implement the very first FOSS proteomics complete solution to natively read the timsTOF data, low-level process them, and explore them in an integrated quantitative proteomics software environment. We dubbed our software i2MassChroQ because it implements a (peptide)­identification-(protein)­inference-mass-chromatogram-quantification processing workflow. The software benchmarking results reported in this paper show that i2MassChroQ performed better than competing software on two critical characteristics: (1) feature extraction capability and (2) protein quantitative dynamic range. Altogether, i2MassChroQ yielded better quantified protein numbers, both in a technical replicate MS runs setting and in a differential protein abundance analysis setting.
ISSN:1535-3893
1535-3907
1535-3907
DOI:10.1021/acs.jproteome.3c00732