Molecular Systems Biology· 2018Q1
Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial
- 1,047citations
- Q1SCImago
- 2018year
Short summary
This tutorial guides researchers on setting up, performing, and analyzing SWATH-MS experiments for quantitative proteomics, a method offering deep proteome coverage and consistent accuracy.
AI-generated from the title and abstract; the full text is not read.
Key points
- SWATH-MS is a data-independent acquisition method for quantitative proteomics.
- It systematically fragments all peptides within specified mass ranges for unbiased analysis.
- Data analysis typically relies on spectral libraries and peptide query parameters.
- The tutorial covers experimental setup, measurement, and data analysis strategies.
AI-generated from the title and abstract; the full text is not read.
Abstract
Many research questions in fields such as personalized medicine, drug screens or systems biology depend on obtaining consistent and quantitatively accurate proteomics data from many samples. SWATH-MS is a specific variant of data-independent acquisition (DIA) methods and is emerging as a technology that combines deep proteome coverage capabilities with quantitative consistency and accuracy. In a SWATH-MS measurement, all ionized peptides of a given sample that fall within a specified mass range are fragmented in a systematic and unbiased fashion using rather large precursor isolation windows. To analyse SWATH-MS data, a strategy based on peptide-centric scoring has been established, which typically requires prior knowledge about the chromatographic and mass spectrometric behaviour of peptides of interest in the form of spectral libraries and peptide query parameters. This tutorial provides guidelines on how to set up and plan a SWATH-MS experiment, how to perform the mass spectrometric measurement and how to analyse SWATH-MS data using peptide-centric scoring. Furthermore, concepts on how to improve SWATH-MS data acquisition, potential trade-offs of parameter settings and alternative data analysis strategies are discussed.
The authors' abstract, as published at the source. Molecular Systems Biology, 2018 · DOI ↗
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Field: Spectroscopy
SpectroscopyChemistry