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Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics
The plasma proteome is highly dynamic and variable, composed of proteins derived from surrounding tissues and cells. To investigate the complex processes that control the composition of the plasma proteome, we developed a mass spectrometry-based proteomics strategy to infer the origin of proteins de...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729823/ https://www.ncbi.nlm.nih.gov/pubmed/26732734 http://dx.doi.org/10.1038/ncomms10261 |
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author | Malmström, Erik Kilsgård, Ola Hauri, Simon Smeds, Emanuel Herwald, Heiko Malmström, Lars Malmström, Johan |
author_facet | Malmström, Erik Kilsgård, Ola Hauri, Simon Smeds, Emanuel Herwald, Heiko Malmström, Lars Malmström, Johan |
author_sort | Malmström, Erik |
collection | PubMed |
description | The plasma proteome is highly dynamic and variable, composed of proteins derived from surrounding tissues and cells. To investigate the complex processes that control the composition of the plasma proteome, we developed a mass spectrometry-based proteomics strategy to infer the origin of proteins detected in murine plasma. The strategy relies on the construction of a comprehensive protein tissue atlas from cells and highly vascularized organs using shotgun mass spectrometry. The protein tissue atlas was transformed to a spectral library for highly reproducible quantification of tissue-specific proteins directly in plasma using SWATH-like data-independent mass spectrometry analysis. We show that the method can determine drastic changes of tissue-specific protein profiles in blood plasma from mouse animal models with sepsis. The strategy can be extended to several other species advancing our understanding of the complex processes that contribute to the plasma proteome dynamics. |
format | Online Article Text |
id | pubmed-4729823 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-47298232016-03-04 Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics Malmström, Erik Kilsgård, Ola Hauri, Simon Smeds, Emanuel Herwald, Heiko Malmström, Lars Malmström, Johan Nat Commun Article The plasma proteome is highly dynamic and variable, composed of proteins derived from surrounding tissues and cells. To investigate the complex processes that control the composition of the plasma proteome, we developed a mass spectrometry-based proteomics strategy to infer the origin of proteins detected in murine plasma. The strategy relies on the construction of a comprehensive protein tissue atlas from cells and highly vascularized organs using shotgun mass spectrometry. The protein tissue atlas was transformed to a spectral library for highly reproducible quantification of tissue-specific proteins directly in plasma using SWATH-like data-independent mass spectrometry analysis. We show that the method can determine drastic changes of tissue-specific protein profiles in blood plasma from mouse animal models with sepsis. The strategy can be extended to several other species advancing our understanding of the complex processes that contribute to the plasma proteome dynamics. Nature Publishing Group 2016-01-06 /pmc/articles/PMC4729823/ /pubmed/26732734 http://dx.doi.org/10.1038/ncomms10261 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Malmström, Erik Kilsgård, Ola Hauri, Simon Smeds, Emanuel Herwald, Heiko Malmström, Lars Malmström, Johan Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics |
title | Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics |
title_full | Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics |
title_fullStr | Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics |
title_full_unstemmed | Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics |
title_short | Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics |
title_sort | large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4729823/ https://www.ncbi.nlm.nih.gov/pubmed/26732734 http://dx.doi.org/10.1038/ncomms10261 |
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