Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics
Sepsis can lead to multiple organ failure that could potentially be reflected by change in plasma protein abundance. Here the authors describe a proteomics strategy that allows the determination of plasma proteins tissue origin in a quantitative manner for use as biomarkers—illustrated in a mouse mo...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2016-01-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/ncomms10261 |
| _version_ | 1818833960335048704 |
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| author | Erik Malmström Ola Kilsgård Simon Hauri Emanuel Smeds Heiko Herwald Lars Malmström Johan Malmström |
| author_facet | Erik Malmström Ola Kilsgård Simon Hauri Emanuel Smeds Heiko Herwald Lars Malmström Johan Malmström |
| author_sort | Erik Malmström |
| collection | DOAJ |
| description | Sepsis can lead to multiple organ failure that could potentially be reflected by change in plasma protein abundance. Here the authors describe a proteomics strategy that allows the determination of plasma proteins tissue origin in a quantitative manner for use as biomarkers—illustrated in a mouse model of sepsis. |
| first_indexed | 2024-12-19T02:27:13Z |
| format | Article |
| id | doaj.art-180515b4471648a094ca8757685ed496 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T02:27:13Z |
| publishDate | 2016-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-180515b4471648a094ca8757685ed4962022-12-21T20:39:53ZengNature PortfolioNature Communications2041-17232016-01-017111010.1038/ncomms10261Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomicsErik Malmström0Ola Kilsgård1Simon Hauri2Emanuel Smeds3Heiko Herwald4Lars Malmström5Johan Malmström6Department of Clinical Sciences, Division of Infection Medicine, Lund, Lund UniversityDepartment of Clinical Sciences, Division of Infection Medicine, Lund, Lund UniversityDepartment of Clinical Sciences, Division of Infection Medicine, Lund, Lund UniversityDepartment of Clinical Sciences, Division of Infection Medicine, Lund, Lund UniversityDepartment of Clinical Sciences, Division of Infection Medicine, Lund, Lund UniversityS3IT, University of ZurichDepartment of Clinical Sciences, Division of Infection Medicine, Lund, Lund UniversitySepsis can lead to multiple organ failure that could potentially be reflected by change in plasma protein abundance. Here the authors describe a proteomics strategy that allows the determination of plasma proteins tissue origin in a quantitative manner for use as biomarkers—illustrated in a mouse model of sepsis.https://doi.org/10.1038/ncomms10261 |
| spellingShingle | Erik Malmström Ola Kilsgård Simon Hauri Emanuel Smeds Heiko Herwald Lars Malmström Johan Malmström Large-scale inference of protein tissue origin in gram-positive sepsis plasma using quantitative targeted proteomics Nature Communications |
| 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 |
| url | https://doi.org/10.1038/ncomms10261 |
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