Epidermal Growth Factor Stimulates Transforming Growth Factor-Beta Receptor Type II Expression In Corneal Epithelial Cells.
Daisy Y ShuAudrey E K HutcheonJames D ZieskeXiaoqing GuoPublished in: Scientific reports (2019)
We previously demonstrated that inhibition of epidermal growth factor receptor (EGFR) slowed corneal epithelial migration. Here we examine the effect of EGF on transforming growth factor-beta receptor II (TGF-βRII) in a corneal wound-healing model and primary human corneal epithelial cells (pHCE). Corneal debridement wounds were made and allowed to heal ± Tyrphostin AG1478 (EGFR inhibitor), and assayed for EGFR activation and EGFR and TGF-βRII localization. Primary HCE were treated with EGF ± U0126 (MEK inhibitor) and assayed for TGF-βRII expression. EGFR activation was maximal 15 minutes after wounding and localized in the migrating epithelial cells. TGF-βRII localization was also observed in the migrating epithelium and was reduced when EGFR was blocked. When pHCE were treated with EGF for 6 hours, the cells produced enhanced levels of TGF-βRII, which was blocked by U0126. Downstream signaling pathways of MEK (p38MAPK and ERK1/2MAPK) were then examined, and TGF-β1 and EGF were found to have differential effects on the phosphorylation of p38 and ERK1/2, with TGF-β1 upregulating p-p38 but not pERK1/2 and EGF upregulating pERK1/2 but not p-p38. Taken together, these data indicate that EGF stimulates TGF-βRII through ERK1/2 and EGFR signaling, suggesting interplay between EGF- and TGF-β-signaling pathways during corneal wound repair.
Keyphrases
- transforming growth factor
- epidermal growth factor receptor
- growth factor
- epithelial mesenchymal transition
- wound healing
- signaling pathway
- tyrosine kinase
- small cell lung cancer
- pi k akt
- advanced non small cell lung cancer
- induced apoptosis
- optical coherence tomography
- poor prognosis
- endothelial cells
- oxidative stress
- machine learning
- cell death
- endoplasmic reticulum stress
- big data
- binding protein
- cataract surgery
- deep learning
- electronic health record
- body composition
- newly diagnosed
- protein kinase
- data analysis
- artificial intelligence