基于生物信息学的淋巴瘤相关蛋白T细胞因子4的性质及功能预测分析

Prediction and analysis of nature and function of lymphomaassociated gene TCF4 based on bioinformatics

目的利用生物信息学软件分析淋巴瘤相关蛋白T细胞因子4(T cell factor 4,TCF4)的理化性质、空间结构、蛋白质修饰位点及蛋白相互作用关系。方法根据美国国家生物技术信息中心(National Center for Biotechnology Information,NCBI)蛋白数据库提供的人TCF7L2蛋白FASTA格式数据,使用ExPASy、SignalP 5.0 Server、TMHMM Server v.2.0、SOPMA、SWISS-MODEL、DISPHOS 1.3、PhosphoSitePlus、NetNGlyc 1.0、Uniprot数据库、NetOGlyc 4.0、YinOYang 1.2、STRING等软件对TCF4蛋白进行系统性分析。结果TCF4为一种碱性不稳定的亲水性蛋白,无信号肽,无跨膜区;二级结构的主要形式是无规卷曲;在7款软件(DISPHOS 1.3、PhosphoSitePlus、KinasePhos、Scansite、NetPhosk、Musite、PlantPhos)中,共有33个磷酸化位点被重复预测到;Uniprot数据库和NetOGlyc 1.0软件未预测到重复的N型糖基化位点,NetOGlyc 4.0和YinOYang 1.2软件显示共有2个O型糖基化位点被重复预测到;蛋白相互作用网络显示,与TCF4形成蛋白网络的6个蛋白(EP300、MYC、CREBBP、CTNNB1、NLK和AXIN2)涉及到Wnt信号通路。结论经多种软件对TCF4的性质及功能的预测,为淋巴瘤等相关疾病抑制剂的研发及其发病机制提供参考。

Objective To analyze the physicochemical properties,molecular structure,protein modification site and protein interaction of TCF4 by bioinformatics software.Methods Systematic analysis of TCF4 protein was performed based on the FASTA data on human TCF7 L2 provided by National Center for Biotechnology Information(NCBI)using ExPASy,SignalP 5.0 Server,TMHMM Server v.2.0,SOPMA,SWISS-MODEL,DISPHOS 1.3,PhosphoSitePlus,NetNGlyc 1.0,Uniprot data base,NetOGlyc 4.0,YinOYang 1.2,STRING and other software.Results TCF4 was a unstable basic and hydrophilic protein with no signal peptide and no transmembrane region,of which the main form of secondary structure was random coiling.A total of 33 phosphorylation sites were predicted repeatedly by using seven software(DISPHOS 1.3,PhosphoSitePlus,KinasePhos,Scansite,NetPhosk,Musite and PlantPhos).However,no repeated N-type glycosylation sites were predicted by Uniprot database and NetOGlyc 1.0 software,and two O-type glycosylation sites were repeatedly predicted by NetOGlyc 4.0 and YinOYang 1.2 software.The protein interaction network showed that the six proteins(EP300,MYC,CREBBP,CTNNB1,NLK and AXIN2)which formed a protein network with TCF4 also involved in the Wnt signaling pathway.Conclusion The prediction of nature and function of TCF4 by various software provided a reference for the development and pathogenesis of inhibitors of lymphoma and other related diseases.