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基于TMT的大鼠放射性肺损伤蛋白质组学分析

TMT-based proteomic analysis of radiation lung injury in rats.

作者信息

Liu Jing, Gao Kuanke, Ren Xue, Wu Tong, Zhang Haibo, Yang Defu, Wang Hengjiao, Xu Ying, Yan Ying

机构信息

Graduate school of Dalian Medical University, Dalian, China.

Department of Radiation Oncology, General Hospital of Northern Theater Command, No. 83 Wenhua Road, Shenhe District, Shenyang, 110016, China.

出版信息

Clin Proteomics. 2024 Dec 19;21(1):67. doi: 10.1186/s12014-024-09518-0.

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.

摘要

放射性肺损伤(RILI)是放射治疗的常见不良反应,会对治疗进程及患者生活质量产生负面影响。识别RILI的生物标志物可为临床实践中RILI的防治提供参考。在本研究中,为探索与RILI相关的关键蛋白,我们构建了RILI大鼠模型,并采用串联质谱标记和定量蛋白质组学技术分析RILI组织和正常肺组织。我们利用京都基因与基因组百科全书(KEGG)通路富集、基因本体论(GO)富集和蛋白质-蛋白质相互作用(PPI)网络对差异表达蛋白(DEP)进行生物信息学分析。结果显示,与对照组相比,RILI组肺组织中有185种差异表达蛋白,其中110种上调蛋白,75种下调蛋白。GO分析表明,差异表达蛋白参与氧化还原过程、细胞生物合成过程和细胞外基质。KEGG结果表明,差异表达蛋白主要参与PI3K-Akt、ECM受体相互作用、花生四烯酸代谢、谷胱甘肽代谢等通路。这些关于差异表达蛋白功能和信号通路的结果为进一步研究RILI的机制提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b165/11657687/c96f0b2530d6/12014_2024_9518_Fig1_HTML.jpg

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