Trans-Proteomic Pipeline (TPP)

Trans-Proteomic Pipeline (TPP) processes LC-MS/MS shotgun proteomics data to convert raw spectrometer outputs, identify peptides from MS/MS spectra using search engines, validate and filter identifications, infer proteins, and perform peptide- and protein-level quantification including stable isotope ratio methods such as ICAT, iTRAQ, and SILAC.

Key Features:

• Comprehensive workflow support: Supports a complete proteomic analysis workflow from raw spectrometer output file conversion through protein-level statistical validation and quantification.
• Instrument and format independence: Accepts data from multiple instrument vendors and operating systems via open, standard data formats.
• LC-MS/MS data processing: Provides uniform analysis of LC-MS/MS shotgun proteomics data, including extraction of MS/MS information from raw files and submission to search engines for peptide identification.
• Search engine integration and validation: Integrates results from multiple search engines and applies validation and filtering to remove false positive peptide assignments.
• Protein inference: Infers proteins based on identified peptides while maintaining peptide-to-protein connectivity.
• Quantitative capabilities: Performs quantification at peptide and protein levels and computes estimates of sensitivity and error rates, supporting stable isotope ratio methods.
• Data visualization and integration: Provides data visualization functionality to assist interpretation and integration of complex proteomics datasets.
• Scalability and computing flexibility: Operates across different computing environments to support analyses at varying scales.

Scientific Applications:

• Protein characterization: Defines protein sequences, interactions, and post-translational modifications (PTMs) from MS/MS data.
• Cellular phenotype and molecular event analysis: Analyzes cellular phenotypes and molecular events that define dynamic biological states.
• Large-scale quantitative studies: Enables large-scale, reproducible proteomics studies with quantitative comparison across samples.

Methodology:

Converts raw spectrometer output files to standardized formats; identifies peptides from MS/MS spectra using search engines and integrates results across engines; validates and filters identifications to remove false positives; infers proteins from identified peptides; and performs peptide- and protein-level quantification using stable isotope ratio methods.