Identification of novel genes involved in gingival epithelial cells responding to Aggregatibacter actinomycetemcomitans and Porphyromonas gingivalis infections

• Published in: Archives of oral biology Vol. 96; pp. 113 - 121
• Main Authors: Zhu, Hongguang, Lu, Shouyi, Wei, Meirong, Cai, Xiaoshan, Wang, Guoyou
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.12.2018
• Subjects: Aggregatibacter actinomycetemcomitan; Aggregatibacter actinomycetemcomitans; Bacteroidaceae Infections - genetics; Bacteroidaceae Infections - microbiology; Computational Biology; Dentistry; Differentially expressed gene; Epithelial Cells - cytology; Functional enrichment analysis; Gene Expression; Gingiva - cytology; Gingiva epithelial cell; Humans; Module; Pasteurellaceae Infections - genetics; Pasteurellaceae Infections - microbiology; Periodontitis - genetics; Periodontitis - microbiology; Porphyromonas gingivali; Porphyromonas gingivalis; Transcription Factors - genetics; Transcriptional factor; Differentially expressed gene; Gingiva epithelial cell; Transcriptional factor; Functional enrichment analysis; Module; Aggregatibacter actinomycetemcomitan; Porphyromonas gingivali
• ISSN: 0003-9969; 1879-1506
• DOI: 10.1016/j.archoralbio.2018.08.017

•IL6, CCL19, EDN1, ADCY9 and BCL2 were the hub up-regulated genes in network.•CCNB1, PLK1 and CCNA2 were the hub down-regulated genes in PPI network.•E12, NRSF and NRP1 were transcriptional factors targeting to the co-regulated genes. This study aimed to identify the differentially expressed genes (DEGs) in gingiva epithelial cells responding to Aggregatibacter actinomycetemcomitans and Porphyromonas gingivalis infections using bioinformatics method. GSE9723 dataset was downloaded from Gene Expression Omnibus, and DEGs between the infected cells and controls were identified using unpaired t-test. Overlapping DEGs in responding to Aggregatibacter actinomycetemcomitans and Porphyromonas gingivalis infections were extracted. Protein-protein interaction networks were constructed and functional modules were isolated using Molecular Complex Detection algorithm. Key genes in protein-protein interaction network and Molecular Complex Detection modules were subjected to functional enrichment analyses. In addition, the transcriptional factors were predicted. A total of 533 co-up-regulated and 202 co-down-regulated genes were identified. The up-regulated genes, including IL6, CCL19, EDN1, ADCY9, and BCL2 and the down-regulated genes, including CCNB1, PLK1, and CCNA2 were the key genes in the protein-protein interaction network and modules. They were intensively enriched in chemokine signaling pathway, calcium signaling pathway and cell cycle. Finally, two transcriptional factors, E12 and NRSF, targeting to the up-regulated genes and one transcriptional factor, NRP1, targeting the down-regulated genes, were predicted. CCNB1, PLK1, and CCNA2 might play important roles in the response of host epithelial cells to Aggregatibacter actinomycetemcomitans and Porphyromonas gingivalis.