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  

Differential proteins in the malignantly transformed cell line BEP2D induced byα-particles based on TMT proteomics and bioinformatics

作　　者：王茜[1] 许周暘 范昊 陈肖华 周越塑 刘巧维 WANG Qian;XU Zhouyang;FAN Hao;CHEN Xiaohua;ZHOU Yuesu;LIU Qiaowei(Southern Medical District of PLA General Hospital,Beijing 100071,China;74th Group Military Hospital of PLA,Guangzhou 510318,China;Medical School of Chinese PLA,Beijing 100853,China;Beijing Institute of Radiation Medicine,Beijing 100850,China;Department of Emergency,The Fifth Medical Center of PLA General Hospital,Beijing 100071,China;Department of Oncology,The Fifth Medical Center of PLA General Hospital,Beijing 100071,China)

机构地区：[1]解放军总医院京南医疗区,北京100071 [2]解放军第74集团军医院,广东广州510318 [3]解放军医学院,北京100853 [4]军事科学院军事医学研究院辐射医学研究所,北京100850 [5]解放军总医院第五医学中心急诊科,北京100071 [6]解放军总医院第五医学中心肿瘤医学部,北京100071

出　　处：《西部医学》2024年第11期1571-1575,1581,共6页Medical Journal of West China

基　　金：国家自然科学基金项目(82103777);中国博士后科学基金项目(2022T150786)。

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52900个,定量蛋白6128个。筛选到差异表达蛋白1910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。Objective To study the differential proteins in the malignantly transformed human bronchial epithelial cell line BEP2D induced byαparticles 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.

关 键 词：肺癌 Α粒子 TMT蛋白组学 生物信息学 

分 类 号：R734.2[医药卫生—肿瘤]