Hub Genes For Non-obstructive Azoospermia And Predictions Of TFs And MicRNA

Object:Non-obstructive azoospermia(NOA)is currently considered as the most serious spermatogenesis disorder.Some studies have shown that the combination of mi RNA and m RNA mediated post transcriptional regulation may be one of the mechanisms of non obstructive azoospermia.The purpose of this study is to find the hub genes and predict the transcription factors and micro RNAs that regulate the hub genes through the analysis of non-obstructive azoospermia GEO data.Method:The gene microarry data set of NOA patients was selected and downloaded from the GEO database,R language was used to conduct gene expression differential analysis,to obtain the differential genes,GO and KEGG enrichment analysis of differential genes was performed to find possible functions and pathways,and differential genes were uploaded to STRING database to construct protein interaction network(PPI).Visualization in Cytoscape 3.9.1 software,use the MCODE plug-in for computational analysis,and screen for the first five key genes.Network Analyst 3.0 online network tool was used to predict transcription factors and mi RNA.Finally,by searching relevant literature,the role of hub genes and predicted mic RNAs in the pathogenesis of NOA was explored.Results:In this study,two datasets,GSE45885 and GSE145467,were collected in GEO database for data analysis.Through differential analysis,30 common upregulated genes and 476 common downregulated genes were obtained.A total of 5 hub genes were screened out among the differential genes,namely: CDCA 、FOXM1、KIF2C、ESPL1、PLK1。The results of GO enrichment analysis showed that biological processes were enriched in cilia motility,9+2 cilia motility,sperm flagella,and acrosome vesicles.Cellular components are enriched in cellular processes involved in multicellular biological reproduction,microtubule-based locomotion,germ cell development,spermatogonial differentiation,spermatozoa development.Molecular functions are ultimately enriched in protein serine/threonine kinase activity,ATPase activity,tubulin binding.KEGG signaling pathways are mainly enriched in TRP channel inflammatory mediator regulation,glycerophospholipid metabolism,lysosome,carbon metabolism,iron death.The Network Analyst 3.0 online web tool was used for transcription factor prediction.Among them,transcription factors such as MAZ,KDM5 A,ZEB1,and CDCA5 can regulate the expression of a variety of hub genes at the same time.Conclusion:Through the analysis of non obstructive azoospermia GEO data chip,five hub genes were selected.The results of data analysis showed that the selected hub genes and predicted mi RNAs had a role in regulating cell cycle or spermatogenesis.This study provides genetic data and future clinical research directions for further exploring the pathogenesis of non obstructive azoospermia.