Software pipeline and data analysis for MS/MS proteomics: the trans-proteomic pipeline.

Area of Science:

• Proteomics
• Bioinformatics
• Mass Spectrometry

Background:

• Liquid chromatography-tandem mass spectrometry (LC-MS/MS) is a key technique in proteomics.
• Current workflows face challenges with diverse data formats, high false positive rates, and peptide-protein linkage.
• Scalability issues hinder widespread adoption of LC-MS/MS for large-scale proteomic studies.

Purpose of the Study:

• To introduce the Trans-Proteomic Pipeline (TPP) as an open-source software solution.
• To provide a uniform and integrated workflow for LC-MS/MS data analysis.
• To facilitate accurate peptide and protein identification and quantification.

Main Methods:

• The Trans-Proteomic Pipeline integrates tools for data extraction from various mass spectrometer formats.
• It includes peptide identification using multiple search engines.
• Methods for result validation, combination, protein inference, and quantification are incorporated.

Main Results:

• The TPP enables uniform analysis of LC-MS/MS data from raw files to quantified proteins.
• It addresses challenges of data format diversity and false positive rates in peptide assignments.
• The pipeline effectively infers protein identities from identified peptides and performs quantitation.

Conclusions:

• The Trans-Proteomic Pipeline offers a comprehensive, open-source solution for LC-MS/MS data analysis.
• It simplifies and standardizes the process from raw data to protein-level insights.
• The TPP enhances the reliability and scalability of shotgun proteomics workflows.