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Advances in proteomics: characterization of the innate immune system after birth and during inflammation
Proteomics is the characterization of the protein composition, the proteome, of a biological sample. It involves the large-scale identification and quantification of proteins, peptides, and post-translational modifications. This review focuses on recent developments in mass spectrometry-based proteo...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587584/ https://www.ncbi.nlm.nih.gov/pubmed/37868984 http://dx.doi.org/10.3389/fimmu.2023.1254948 |
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author | Bennike, Tue Bjerg |
author_facet | Bennike, Tue Bjerg |
author_sort | Bennike, Tue Bjerg |
collection | PubMed |
description | Proteomics is the characterization of the protein composition, the proteome, of a biological sample. It involves the large-scale identification and quantification of proteins, peptides, and post-translational modifications. This review focuses on recent developments in mass spectrometry-based proteomics and provides an overview of available methods for sample preparation to study the innate immune system. Recent advancements in the proteomics workflows, including sample preparation, have significantly improved the sensitivity and proteome coverage of biological samples including the technically difficult blood plasma. Proteomics is often applied in immunology and has been used to characterize the levels of innate immune system components after perturbations such as birth or during chronic inflammatory diseases like rheumatoid arthritis (RA) and inflammatory bowel disease (IBD). In cancers, the tumor microenvironment may generate chronic inflammation and release cytokines to the circulation. In these situations, the innate immune system undergoes profound and long-lasting changes, the large-scale characterization of which may increase our biological understanding and help identify components with translational potential for guiding diagnosis and treatment decisions. With the ongoing technical development, proteomics will likely continue to provide increasing insights into complex biological processes and their implications for health and disease. Integrating proteomics with other omics data and utilizing multi-omics approaches have been demonstrated to give additional valuable insights into biological systems. |
format | Online Article Text |
id | pubmed-10587584 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-105875842023-10-21 Advances in proteomics: characterization of the innate immune system after birth and during inflammation Bennike, Tue Bjerg Front Immunol Immunology Proteomics is the characterization of the protein composition, the proteome, of a biological sample. It involves the large-scale identification and quantification of proteins, peptides, and post-translational modifications. This review focuses on recent developments in mass spectrometry-based proteomics and provides an overview of available methods for sample preparation to study the innate immune system. Recent advancements in the proteomics workflows, including sample preparation, have significantly improved the sensitivity and proteome coverage of biological samples including the technically difficult blood plasma. Proteomics is often applied in immunology and has been used to characterize the levels of innate immune system components after perturbations such as birth or during chronic inflammatory diseases like rheumatoid arthritis (RA) and inflammatory bowel disease (IBD). In cancers, the tumor microenvironment may generate chronic inflammation and release cytokines to the circulation. In these situations, the innate immune system undergoes profound and long-lasting changes, the large-scale characterization of which may increase our biological understanding and help identify components with translational potential for guiding diagnosis and treatment decisions. With the ongoing technical development, proteomics will likely continue to provide increasing insights into complex biological processes and their implications for health and disease. Integrating proteomics with other omics data and utilizing multi-omics approaches have been demonstrated to give additional valuable insights into biological systems. Frontiers Media S.A. 2023-10-06 /pmc/articles/PMC10587584/ /pubmed/37868984 http://dx.doi.org/10.3389/fimmu.2023.1254948 Text en Copyright © 2023 Bennike https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Immunology Bennike, Tue Bjerg Advances in proteomics: characterization of the innate immune system after birth and during inflammation |
title | Advances in proteomics: characterization of the innate immune system after birth and during inflammation |
title_full | Advances in proteomics: characterization of the innate immune system after birth and during inflammation |
title_fullStr | Advances in proteomics: characterization of the innate immune system after birth and during inflammation |
title_full_unstemmed | Advances in proteomics: characterization of the innate immune system after birth and during inflammation |
title_short | Advances in proteomics: characterization of the innate immune system after birth and during inflammation |
title_sort | advances in proteomics: characterization of the innate immune system after birth and during inflammation |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587584/ https://www.ncbi.nlm.nih.gov/pubmed/37868984 http://dx.doi.org/10.3389/fimmu.2023.1254948 |
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