TRIC
TRIC performs retention-time correction and automated cross-run alignment and quantification of targeted proteomics data to ensure consistent peptide quantification across LC-MS/MS runs generated by SWATH-MS and SRM.
Key Features:
- Graph-Based Alignment Strategy: Employs a graph-based, non-linear retention time correction that integrates information across all experimental runs for precise peptide alignment.
- Automated Peak-Picking and Quantification: Automates peak-picking and quantification across runs using fragment-ion data.
- Fragment-Ion–Based Cross-Run Alignment: Utilizes fragment-ion signals to align peptide analytes across multiple LC-MS/MS runs for large-scale analyses.
- Error Reduction and Nonlinear Chromatography Correction: Corrects highly non-linear chromatographic effects and has demonstrated a greater than threefold decrease in identification error at constant recall compared to analyses without alignment.
- Application to Isotopic Peak Groups: Aligns and quantifies thousands of isotopic peak groups, as applied to pulsed-SILAC experiments on human induced pluripotent stem cells.
Scientific Applications:
- SWATH-MS and SRM targeted proteomics: Improving consistency and accuracy of targeted proteomics workflows from SWATH-MS and SRM LC-MS/MS data.
- High-throughput cross-run quantification: Enabling large-scale peptide quantification across many LC-MS/MS runs in high-throughput proteomics experiments.
- Pulsed-SILAC studies in human iPSC: Quantifying isotopic peak groups in pulsed-SILAC experiments on human induced pluripotent stem cells.
- Proteomic investigations of complex systems: Supporting studies of complex biological systems, disease mechanisms, and therapeutic targets by providing consistent cross-run quantification.
Methodology:
Performs graph-based non-linear retention time correction integrating data from all runs, uses fragment-ion data for automated peak-picking, cross-run alignment and quantification, and corrects highly non-linear chromatographic effects.
Topics
Collections
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Röst HL, Liu Y, D'Agostino G, Zanella M, Navarro P, Rosenberger G, Collins BC, Gillet L, Testa G, Malmström L, Aebersold R. TRIC: an automated alignment strategy for reproducible protein quantification in targeted proteomics. Nature Methods. 2016;13(9):777-783. doi:10.1038/nmeth.3954. PMID:27479329. PMCID:PMC5008461.