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

Research output: Contribution to journalArticle

Standard

Harvard

APA

CBE

MLA

Vancouver

Author

RIS

TY - JOUR

T1 - Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics.

AU - Malmström, Erik

AU - Kilsgård, Ola

AU - Hauri, Simon

AU - Smeds, Emanuel

AU - Herwald, Heiko

AU - Malmström, Lars

AU - Malmström, Johan

PY - 2016

Y1 - 2016

N2 - 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.

AB - 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.

U2 - 10.1038/ncomms10261

DO - 10.1038/ncomms10261

M3 - Article

C2 - 26732734

VL - 7

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 10261

ER -