Abstract:Objective: To explore significant differentially expressed genes (DEGs) through bioinformatics in tobacco exposed pregnant women and find Hub genes by analyzing and predicting the involved function of DEGs. Methods: The human mRNA gene chip dataset GSE30032 was extracted from common gene chip data platform of gene expression omnibus (GEO). GEO2R analysis was performed to obtain DEGs, gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) signal pathway enrichment analysis were performed on the basis of DAVID database, the cytoscape software was used to construct the pathway network and GeneMANIA database was utilized for further protein interaction analysis. Results: A total of 34 DEGs were screened, of which 24 mRNAs were up-regulated and 10 mRNAs were down-regulated (FC≥1.5&P<0.05). GO analysis indicated that several functional pathways, such as positive regulation of transcription (P=0.009) and cellular response to iron ion (P=0.013) were enriched, and KEGG analysis showed the DEGs were enriched in prostate cancer (P=0.016) and hepatitis B (P=0.038) KEGG pathways. Eight genes including CDKN1A, SFN, TFAP2A and others were identified as Hub genes. GeneMANIA database showed that protein co-expression and physical interactions were the primary interaction pattern, accounting for 91.62%. Conclusion: This paper effectively screens and analyzes DEGs after pregnant women exposing to tobacco via various databases, providing thoughts for further investigating tobacco-functioned targets and molecular mechanism.
