Comprehensive peptide quantification for data independent acquisition mass spectrometry using chromatogram libraries
B. C. Searle, L. K. Pino, J. D. Egertson, Y. S. Ting, R. T. Lawrence, J. Villen, M. J. MacCoss
Abstract
Data independent acquisition (DIA) mass spectrometry is a powerful technique that is improving the reproducibility and throughput of proteomics studies. We introduce a new experimental workflow that uses this technique to construct chromatogram libraries that capture fragment ion chromatographic peak shape and retention time for every detectable peptide in an experiment. These coordinates calibrate information in spectrum libraries or protein databases to a specific mass spectrometer and chromatography setup, and enable sensitive peptide detection in quantitative experiments. We also present EncyclopeDIA, a software tool for generating and searching chromatogram libraries, and demonstrate the performance of our workflow by quantifying proteins in human and yeast cells. We find that by exploiting calibrated retention time and fragmentation specificity in chromatogram libraries, EncyclopeDIA can detect and quantify >50% more peptides from DIA experiments than with DDA-based spectrum libraries alone.
02 /Specification & Classification
Click any tag to browse matching papersReproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A flexible workflow for building spectral libraries from narrow window data independent acquisition mass spectrometry data
Lilian R. Heil, William E. Fondrie, … Uri Keich·bioRxiv·Nov 22, 2021
- nf-encyclopedia: A cloud-ready pipeline for chromatogram library data-independent acquisition proteomics workflows
Carolyn I. Allen, Rico Meinl, … William E. Fondrie·Journal of Proteome ResearchPeer-reviewed·Jul 7, 2023
- Matrix-matched calibration curves for assessing analytical figures of merit in quantitative proteomics
L. K. Pino, B. C. Searle, … M. J. MacCoss·bioRxiv·Jul 30, 2019
- Automated Workflow For Peptide-level Quantitation From DIA/ SWATH-MS Data
Shubham Gupta, Hannes Luc Röst·Methods in molecular biologyPeer-reviewed·Jan 1, 2021
- DIAmeter: Matching peptides to data-independent acquisition mass spectrometry data
Yang Young Lu, Jeff Bilmes, … William Stafford Noble·BioinformaticsPeer-reviewed·Apr 27, 2021
- Removing the hidden data dependency of DIA with predicted spectral libraries
Bart Van Puyvelde, Sander Willems, … Maarten Dhaenens·PROTEOMICSPeer-reviewed·Jan 25, 2020