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作 者:姜茹[1] 姜杰[1] 谭宏伟[1] 修燕[1] 王国艳[1] J IANG Ru J IANG J ie TAN Hongwei XIU Yan WANG Guoyan(Department of Clinical Laboratory ,Yantai Affiliated Hospital, Binzhou Medical University ,Yantai , Shandong 264100,China)
机构地区:[1]滨州医学院烟台附属医院检验科,山东烟台264100
出 处:《国际检验医学杂志》2017年第2期166-171,共6页International Journal of Laboratory Medicine
基 金:山东省烟台市科技发展计划资助项目(2014WS047);滨州医学院科技发展计划资助项目(BY2013KL42)
摘 要:目的构建程序性死亡-1(PD-1)及其配体与其他蛋白质的相互作用网络,加深对PD-1信号通路研究的认识,为PD-1及其相关配体的基础及临床应用研究提供理论资料。方法通过PubMed检索PD-1及其配体的研究文献,基于文献挖掘对已报道的与PD-1及其配体存在相互作用的蛋白质进行统计,并以这部分蛋白质进行二次检索及文献挖掘统计,最后用软件Cytoscape构建相互作用网络并进行分析;寻找网络中与细胞迁移有关的分子及其与PD-L1之间的关系,并利用荧光定量PCR及迁移试验进行验证。结果在构建出的PD-1/PD-L1及PD-1/PD-L2分子互作网络中分别共计122个、126个分子,这些分子在T细胞受体信号通路、细胞黏附、JAK-STAT信号通路及细胞因子间相互作用等众多生物过程中起到重要作用;基于互作网络显示,PD-L1会间接影响到CXCR4的表达,这一推测被荧光定量PCR及迁移试验结果所支持。结论通过生物信息学手段对互作网络蕴含的信息进行挖掘发现,PD-1/PD-L1通路与PD-1/PD-L2通路的作用机制存在差异。同时,利用基于文献挖掘及生物信息学的方法研究PD-1信号通路是1种可以合理利用生物文献数据,为实际试验提供指导的好方法。Objective An interaction network among PD-1-ligands and other proteins were built to add deeper understanding of PD-1signal pathway and to supply the theoretical data on the clinical application study of PD-1and its ligands.Methods Searching the literature about PD-1and its ligands in the PubMed,the result of which would be used to summarize the proteins that had been reported to have interactions with PD-1and its ligands,and then,quadratic search would be performed on these proteins.Finally,the software Cytoscape would be used to build and analyze the interaction network and verified by PCR.Results There were 122and126 nodes in the PD-1/PD-L1 network and PD-1/PD-L2 network respectively.These proteins were involved in TCR signal pathway,cell adhesion,JAK-STAT signal pathway and interaction between cytokines.Meanwhile,aperspective that PD-L1 may influence on CXCR4 through JAK-STAT pathway based on the network which had been supported by qPCR.Conclusion The bioinformatics suggested that there are differences between the mechanism of PD-1/PD-L1 and PD-1/PD-L2.Additionally,the method,which was based on the literature mining and bioinformatics,is good to put the biological literature to rational utilization and to provide guidance for experiments.
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