Interleukin-1β regulates odontogenic ameloblast-associated protein gene transcription in human gingival epithelial cells.
Yuto TsuruyaArisa YamaguchiMizuho Yamazaki-TakaiJin ZhenyuHideki TakaiYohei NakayamaYorimasa OgataPublished in: Odontology (2022)
Junction epithelium (JE) is located apical to the bottom of the gingival sulcus and binds enamel to hemidesmosomes to protect the periodontal tissue from bacterial infection. Function of odontogenic ameloblast-associated protein (ODAM) is suggested by its expression sites (JE and maturation stage ameloblasts) to be involved in the adhesion between the JE and enamel, and odontogenesis. To analyze the changes in ODAM gene and protein expressions in inflamed gingiva, Ca9-22 gingival epithelial cells were stimulated with 1 ng/ml interleukin-1β (IL-1β) for 3-24 h, and ODAM mRNA and protein levels were analyzed by real-time PCR and Western blotting. Luciferase (LUC) constructs were made ligating various lengths of human ODAM gene promoters and performed LUC analyses in Ca9-22 cells. Gel shift and chromatin immunoprecipitation (ChIP) assays were performed. IL-1β induced ODAM mRNA and protein levels at 6-24 h. IL-1β increased LUC activities of the ODAM gene promoter constructs from - 85 to - 950. These activities were blocked by protein kinase A, tyrosine kinase, mitogen-activated protein (MAP) kinase kinase and phosphoinositide 3-kinase inhibitors. Gel shift and ChIP assays showed that IL-1β induced CCAAT/enhancer-binding protein (C/EBP) β and Yin Yang1 (YY1) binding to C/EBP1, 2, 3, and YY1 elements. These data indicate that IL-1β stimulates ODAM gene transcription mediated through C/EBP1, C/EBP2, C/EBP3, and YY1 elements in the human ODAM gene promoter.
Keyphrases
- binding protein
- tyrosine kinase
- genome wide
- endothelial cells
- protein kinase
- transcription factor
- copy number
- genome wide identification
- high throughput
- gene expression
- dna methylation
- high glucose
- epidermal growth factor receptor
- poor prognosis
- induced pluripotent stem cells
- machine learning
- amino acid
- small molecule
- genome wide analysis
- big data
- induced apoptosis
- artificial intelligence
- drug induced
- deep learning
- long non coding rna
- oxidative stress
- cell death
- biofilm formation