基于TMT蛋白组学及生物信息学分析α粒子诱导BEP2D细胞恶性转化差异蛋白
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国家自然科学基金项目(82103777);中国博士后科学基金项目(2022T150786)


Differential proteins in the malignantly transformed cell line BEP2D induced by α-particles based on TMT proteomics and bioinformatics
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    摘要:

    目的 探讨α粒子诱导永生化人支气管上皮细胞BEP2D细胞恶性转化后的蛋白表达谱的变化,并采用生物信息学富集分析差异信号通路,探索辐射致肺癌发生的可能机制。方法 选择BEP2D细胞和BERP35T1细胞,应用TMT定量蛋白质组学技术对两者差异蛋白进行筛选,应用GO数据库对差异表达蛋白进行注释和富集分析,应用KEGG数据库对差异蛋白涉及信号通路进行富集分析。结果 BEP2D与BERP35T1细胞相比,共鉴定到特异性肽段52 900个,定量蛋白6 128个。筛选到差异表达蛋白1 910个,其中上调996个,下调914个。对差异表达蛋白进行蛋白结构域分析、GO功能分析、KEGG分析和蛋白互作网络分析,鉴定到结构域176个,GO二级条目685项,KEGG通路39条,涉及核糖体、糖酵解/糖异生、氧化磷酸化和NAD等环节。蛋白互作网络分析发现核糖体相关蛋白与辐射致BEP2D细胞恶性转化关联度最高。结论 核糖体相关通路可能在α粒子诱导永生化人支气管上皮细胞BEP2D细胞恶性转化的过程中发挥了重要作用,为进一步研究氡暴露致肺癌发生机制提供了新的线索

    Abstract:

    Objective To study the differential proteins in the malignantly transformed human bronchial epithelial cell line BEP2D induced by α particles and explore the mechanism of radiation-induced lung cancer. Methods The differential proteins were screened by TMT quantitative proteomics and bioinformatics techniques in BEP2D and BERP35T1 cells. Results A total of 52900 unique peptides were identified, and 6128 proteins were quantified. 1910 differential proteins were screened (996 proteins up-regulated and 914 proteins down-regulated). Domain analysis, GO functional analysis, KEGG analysis, and protein-protein interaction network analysis were performed using bioinformatics. 176 domains, 685 GO terms, and 39 KEGG pathways were identified, involving ribosome, NAD, glycolysis/gluconeogenesis, oxidative phosphorylation. Through protein-protein interaction network analysis, the ribosomal proteins were found to have the highest correlation with the radiation-inducing malignancy transformation of BEP2D cells. Conclusion This study indicated that ribosome pathways may play important roles in the malignant transformation of BEP2D induced by radiation, which provided a basis for further research

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  • 在线发布日期: 2024-11-21
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