Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics

Erik Malmström, Ola Kilsgård, Simon Hauri, Emanuel Smeds, Heiko Herwald, Lars Malmström and Johan Malmström ()
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Erik Malmström: Lund, Lund University
Ola Kilsgård: Lund, Lund University
Simon Hauri: Lund, Lund University
Emanuel Smeds: Lund, Lund University
Heiko Herwald: Lund, Lund University
Lars Malmström: S3IT, University of Zurich
Johan Malmström: Lund, Lund University

Nature Communications, 2016, vol. 7, issue 1, 1-10

Abstract: Abstract 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.

Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms10261

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DOI: 10.1038/ncomms10261

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