Bioinformatics Analysis Of MicroRNA Comprehensive Regulatory Network In Congenital Microtia

Objectives:By analyzing the sequencing results of microRNAs in residual and normal ear cartilage of patients with congenital microtia,this study was aimed to predict the differential expressed candidate target genes,transcription factors and long non-coding RNAs,then construct a comprehensive control network.Among them,the key module was selected to explore key points.Their relationship may provide a new way to further clarify the etiology of congenital microtia.Methods:Based on the 24 differentially expressed microRNAs between the residual ear cartilage of microtia and normal controls,we predicted the target genes,transcription factors and long non-coding RNA,then constructed a comprehensive regulatory network and performed bioinformatics analysis of key nodes.Results:We have predicted 154 target genes,209 transcription factors and 22 long non-coding RNAs.The results showed that there were interactions among miR-221/222-3p,miR-320c,miR-3122,miR-4521,target genes ZEB2,TRPS1,GNAI3,SHOC2,PDPK1,transcription factors EP300,STAT1,FOS,KMT2A,RNF2 and long non-coding RNA TUG1,MIAT.From the network,we found that miR-221/222-3p are related to target genes TRPS1,ZEB2,transcription factors FOS,EP300,STAT1 and IncRNA MIAT.Additionally,ZEB2 and STAT1 as key nodes can connect multiple targets to form a comprehensive regulatory network.Conclusions:A comprehensive regulatory network for congenital microtia was established and key targets were found,which laid the foundation for the subsequent verification and gene function research for each target.The theoretical basis is helpful to further explore the relationship between key targets and their regulatory networks.