Multi-laboratory assessment of reproducibility, qualitative and quantitative performance of SWATH-mass spectrometry

  • Ben C. Collins
  • , Christie L. Hunter
  • , Yansheng Liu
  • , Birgit Schilling
  • , George Rosenberger
  • , Samuel L. Bader
  • , Daniel W. Chan
  • , Bradford W. Gibson
  • , Anne Claude Gingras
  • , Jason M. Held
  • , Mio Hirayama-Kurogi
  • , Guixue Hou
  • , Christoph Krisp
  • , Brett Larsen
  • , Liang Lin
  • , Siqi Liu
  • , Mark P. Molloy
  • , Robert L. Moritz
  • , Sumio Ohtsuki
  • , Ralph Schlapbach
  • Nathalie Selevsek, Stefani N. Thomas, Shin Cheng Tzeng, Hui Zhang, Ruedi Aebersold

Research output: Contribution to journalArticlepeer-review

Abstract

Quantitative proteomics employing mass spectrometry is an indispensable tool in life science research. Targeted proteomics has emerged as a powerful approach for reproducible quantification but is limited in the number of proteins quantified. SWATH-mass spectrometry consists of data-independent acquisition and a targeted data analysis strategy that aims to maintain the favorable quantitative characteristics (accuracy, sensitivity, and selectivity) of targeted proteomics at large scale. While previous SWATH-mass spectrometry studies have shown high intra-lab reproducibility, this has not been evaluated between labs. In this multi-laboratory evaluation study including 11 sites worldwide, we demonstrate that using SWATH-mass spectrometry data acquisition we can consistently detect and reproducibly quantify >4000 proteins from HEK293 cells. Using synthetic peptide dilution series, we show that the sensitivity, dynamic range and reproducibility established with SWATH-mass spectrometry are uniformly achieved. This study demonstrates that the acquisition of reproducible quantitative proteomics data by multiple labs is achievable, and broadly serves to increase confidence in SWATH-mass spectrometry data acquisition as a reproducible method for large-scale protein quantification.

Original languageEnglish
Article number291
JournalNature communications
Volume8
Issue number1
DOIs
StatePublished - Dec 1 2017

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