Prediction and analysis of nature and function of lymphoma-associated gene TCF4 based on bioinformatics

Document Type


Date of Original Version



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 TCF7L2 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.

Publication Title, e.g., Journal

Chinese Journal of Biologicals





This document is currently not available here.