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 |
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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. |
doi_str_mv | 10.1186/s12014-024-09518-0 |
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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. The Author(s).</rights><rights>COPYRIGHT 2024 BioMed Central Ltd.</rights><rights>The Author(s) 2024 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c338t-baff942900b7e9946523cfdb6afb2a3b3e39322558b46509cbffd0acc26218ff3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11657687/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11657687/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53769,53771</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39701953$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Jing</creatorcontrib><creatorcontrib>Gao, Kuanke</creatorcontrib><creatorcontrib>Ren, Xue</creatorcontrib><creatorcontrib>Wu, Tong</creatorcontrib><creatorcontrib>Zhang, Haibo</creatorcontrib><creatorcontrib>Yang, Defu</creatorcontrib><creatorcontrib>Wang, Hengjiao</creatorcontrib><creatorcontrib>Xu, Ying</creatorcontrib><creatorcontrib>Yan, Ying</creatorcontrib><title>TMT-based proteomic analysis of radiation lung injury in rats</title><title>Clinical proteomics</title><addtitle>Clin Proteomics</addtitle><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.</description><subject>Arachidonic acid</subject><subject>Genomes</subject><subject>Mass spectrometry</subject><subject>Protein-protein interactions</subject><subject>Proteins</subject><subject>Radiation</subject><subject>Radiotherapy</subject><issn>1542-6416</issn><issn>1559-0275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNptUctKJDEUDeKgjvoDLqRAkNmU5l3JQkRkXqC4adchlUq6I-mkTaqE_vtJTztiwxDCDfc8IOcAcIbgFUKCXxeEIaItxPVKhkQL98ARYkzWVcf2N2-KW04RPwRfS3mBEEsqxQE4JLKDSDJyBG5mj7O218UOzSqn0aalN42OOqyLL01yTdaD16NPsQlTnDc-vkx5XUcFxnICvjgdij19n8fg-cf32f2v9uHp5-_7u4fWECLG6u-cpFhC2HdWSsoZJsYNPdeux5r0xBJJMGZM9BWD0vTODVAbgzlGwjlyDG63vqupX9rB2DhmHdQq-6XOa5W0V7tI9As1T28KIc46Lrrq8O3dIafXyZZRLX0xNgQdbZqKIoh2VMCOykq92FLnOljlo0vV0mzo6k5gyFnNGlXW1X9Y9Qy2Rpiidb7udwSXnwQLq8O4KClMm2zLLhFviSanUrJ1H_9EUG2KV9viVS1e_S1ewSo6_5zQh-Rf0-QPAGmnjw</recordid><startdate>20241219</startdate><enddate>20241219</enddate><creator>Liu, Jing</creator><creator>Gao, Kuanke</creator><creator>Ren, Xue</creator><creator>Wu, Tong</creator><creator>Zhang, Haibo</creator><creator>Yang, Defu</creator><creator>Wang, Hengjiao</creator><creator>Xu, Ying</creator><creator>Yan, Ying</creator><general>BioMed Central Ltd</general><general>BioMed Central</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20241219</creationdate><title>TMT-based proteomic analysis of radiation lung injury in rats</title><author>Liu, Jing ; Gao, Kuanke ; Ren, Xue ; Wu, Tong ; Zhang, Haibo ; Yang, Defu ; Wang, Hengjiao ; Xu, Ying ; Yan, Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c338t-baff942900b7e9946523cfdb6afb2a3b3e39322558b46509cbffd0acc26218ff3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Arachidonic acid</topic><topic>Genomes</topic><topic>Mass spectrometry</topic><topic>Protein-protein interactions</topic><topic>Proteins</topic><topic>Radiation</topic><topic>Radiotherapy</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jing</creatorcontrib><creatorcontrib>Gao, Kuanke</creatorcontrib><creatorcontrib>Ren, Xue</creatorcontrib><creatorcontrib>Wu, Tong</creatorcontrib><creatorcontrib>Zhang, Haibo</creatorcontrib><creatorcontrib>Yang, Defu</creatorcontrib><creatorcontrib>Wang, Hengjiao</creatorcontrib><creatorcontrib>Xu, Ying</creatorcontrib><creatorcontrib>Yan, Ying</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Clinical proteomics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jing</au><au>Gao, Kuanke</au><au>Ren, Xue</au><au>Wu, Tong</au><au>Zhang, Haibo</au><au>Yang, Defu</au><au>Wang, Hengjiao</au><au>Xu, Ying</au><au>Yan, Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>TMT-based proteomic analysis of radiation lung injury in rats</atitle><jtitle>Clinical proteomics</jtitle><addtitle>Clin Proteomics</addtitle><date>2024-12-19</date><risdate>2024</risdate><volume>21</volume><issue>1</issue><spage>67</spage><pages>67-</pages><artnum>67</artnum><issn>1542-6416</issn><eissn>1559-0275</eissn><abstract>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.</abstract><cop>England</cop><pub>BioMed Central Ltd</pub><pmid>39701953</pmid><doi>10.1186/s12014-024-09518-0</doi><oa>free_for_read</oa></addata></record> |
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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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