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Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial
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...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088389/ https://www.ncbi.nlm.nih.gov/pubmed/30104418 http://dx.doi.org/10.15252/msb.20178126 |
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author | Ludwig, Christina Gillet, Ludovic Rosenberger, George Amon, Sabine Collins, Ben C Aebersold, Ruedi |
author_facet | Ludwig, Christina Gillet, Ludovic Rosenberger, George Amon, Sabine Collins, Ben C Aebersold, Ruedi |
author_sort | Ludwig, Christina |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6088389 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60883892018-08-17 Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial Ludwig, Christina Gillet, Ludovic Rosenberger, George Amon, Sabine Collins, Ben C Aebersold, Ruedi Mol Syst Biol Reviews 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. John Wiley and Sons Inc. 2018-08-13 /pmc/articles/PMC6088389/ /pubmed/30104418 http://dx.doi.org/10.15252/msb.20178126 Text en © 2018 The Authors. Published under the terms of the CC BY 4.0 license This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Reviews Ludwig, Christina Gillet, Ludovic Rosenberger, George Amon, Sabine Collins, Ben C Aebersold, Ruedi Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial |
title | Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial |
title_full | Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial |
title_fullStr | Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial |
title_full_unstemmed | Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial |
title_short | Data‐independent acquisition‐based SWATH‐MS for quantitative proteomics: a tutorial |
title_sort | data‐independent acquisition‐based swath‐ms for quantitative proteomics: a tutorial |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6088389/ https://www.ncbi.nlm.nih.gov/pubmed/30104418 http://dx.doi.org/10.15252/msb.20178126 |
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