TMT-based proteomic analysis of radiation lung injury in rats

Radiation-induced lung injury (RILI) is a common adverse effect of radiation therapy that negatively affects treatment progression and the quality of life of patients. Identifying biomarkers for RILI can provide reference for the prevention and treatment of RILI in clinical practice. In this study,...

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Veröffentlicht in:Clinical proteomics 2024-12, Vol.21 (1), p.67, Article 67
Hauptverfasser: Liu, Jing, Gao, Kuanke, Ren, Xue, Wu, Tong, Zhang, Haibo, Yang, Defu, Wang, Hengjiao, Xu, Ying, Yan, Ying
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container_issue 1
container_start_page 67
container_title Clinical proteomics
container_volume 21
creator Liu, Jing
Gao, Kuanke
Ren, Xue
Wu, Tong
Zhang, Haibo
Yang, Defu
Wang, Hengjiao
Xu, Ying
Yan, Ying
description Radiation-induced lung injury (RILI) is a common adverse effect of radiation therapy that negatively affects treatment progression and the quality of life of patients. Identifying biomarkers for RILI can provide reference for the prevention and treatment of RILI in clinical practice. In this study, to explore key proteins related to RILI, we constructed a rat model of RILI and analyzed RILI tissues and normal lung tissues using tandem mass spectrometry labeling and quantitative proteomics technology. We used Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, Gene Ontology (GO) enrichment and protein-protein interaction (PPI) networks for bioinformatics analysis of Differentially expressed proteins (DEPs). The results identified 185 differentially expressed proteins in lung tissue from the RILI group compared with the controls, including 110 up-regulated proteins and 75 down-regulated proteins. GO analysis showed that the differentially expressed proteins were involved oxidation-reduction process, cellular biosynthetic processes and extracellular matrix. KEGG results demonstrated that the differentially expressed proteins were mainly involved in the PI3K-Akt, ECM receptor interactions, arachidonic acid metabolism, glutathione metabolism and other pathways. These results on the functions and signaling pathways of the differentially expressed proteins provide a theoretical basis for further study of the mechanism of RILI.
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Identifying biomarkers for RILI can provide reference for the prevention and treatment of RILI in clinical practice. In this study, to explore key proteins related to RILI, we constructed a rat model of RILI and analyzed RILI tissues and normal lung tissues using tandem mass spectrometry labeling and quantitative proteomics technology. We used Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, Gene Ontology (GO) enrichment and protein-protein interaction (PPI) networks for bioinformatics analysis of Differentially expressed proteins (DEPs). The results identified 185 differentially expressed proteins in lung tissue from the RILI group compared with the controls, including 110 up-regulated proteins and 75 down-regulated proteins. GO analysis showed that the differentially expressed proteins were involved oxidation-reduction process, cellular biosynthetic processes and extracellular matrix. KEGG results demonstrated that the differentially expressed proteins were mainly involved in the PI3K-Akt, ECM receptor interactions, arachidonic acid metabolism, glutathione metabolism and other pathways. These results on the functions and signaling pathways of the differentially expressed proteins provide a theoretical basis for further study of the mechanism of RILI.</description><identifier>ISSN: 1542-6416</identifier><identifier>EISSN: 1559-0275</identifier><identifier>DOI: 10.1186/s12014-024-09518-0</identifier><identifier>PMID: 39701953</identifier><language>eng</language><publisher>England: BioMed Central Ltd</publisher><subject>Arachidonic acid ; Genomes ; Mass spectrometry ; Protein-protein interactions ; Proteins ; Radiation ; Radiotherapy</subject><ispartof>Clinical proteomics, 2024-12, Vol.21 (1), p.67, Article 67</ispartof><rights>2024. 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Identifying biomarkers for RILI can provide reference for the prevention and treatment of RILI in clinical practice. In this study, to explore key proteins related to RILI, we constructed a rat model of RILI and analyzed RILI tissues and normal lung tissues using tandem mass spectrometry labeling and quantitative proteomics technology. We used Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, Gene Ontology (GO) enrichment and protein-protein interaction (PPI) networks for bioinformatics analysis of Differentially expressed proteins (DEPs). The results identified 185 differentially expressed proteins in lung tissue from the RILI group compared with the controls, including 110 up-regulated proteins and 75 down-regulated proteins. GO analysis showed that the differentially expressed proteins were involved oxidation-reduction process, cellular biosynthetic processes and extracellular matrix. 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source Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central Open Access; Springer Nature OA Free Journals; Springer Nature - Complete Springer Journals; PubMed Central
subjects Arachidonic acid
Genomes
Mass spectrometry
Protein-protein interactions
Proteins
Radiation
Radiotherapy
title TMT-based proteomic analysis of radiation lung injury in rats
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