Foxn1 expression in keratinocytes is stimulated by hypoxia: further evidence of its role in skin wound healing.
Anna Kur-PiotrowskaJoanna BukowskaMarta M KopcewiczMariola Aleksandra DietrichJoanna NyncaMariola SlowinskaBarbara Gawronska-KozakPublished in: Scientific reports (2018)
Recent studies have shown that the transcription factor Foxn1, which is expressed in keratinocytes, is involved in the skin wound healing process, yet how Foxn1 functions remains largely unknown. Our latest data indicate that Foxn1 drives skin healing via engagement in re-epithelization and the epithelial-mesenchymal transition (EMT) process. In the present study, 2D-DIGE proteomic profiling analysis of in vitro cultured keratinocytes transfected with adenoviral vector carrying Foxn1-GFP or GFP alone (control) revealed forty proteins with differential abundance between the compared groups. Among the proteins with Foxn1-dependent expression, several enable adaptation to hypoxia. Subsequent experiments revealed that hypoxic conditions (1% O2) stimulate endogenous and exogenous (transfected Ad-Foxn1) Foxn1 expression in cultured keratinocytes. A proteomics analysis also identified proteins that can act as a factors controlling the balance between cell proliferation, differentiation and apoptosis in response to Foxn1. We also showed that in C57BL/6 keratinocytes, the stimulation of Foxn1 by hypoxia is accompanied by increases in Mmp-9 expression. These data corroborate the detected co-localization of Foxn1 and Mmp-9 expression in vivo in post-wounding skin samples of Foxn1::Egfp transgenic mice. Together, our data indicate that Foxn1 orchestrates cellular changes in keratinocytes in both physiological (self-renewal) and pathological (skin wound healing) contexts.
Keyphrases
- wound healing
- poor prognosis
- epithelial mesenchymal transition
- cell proliferation
- transcription factor
- endothelial cells
- soft tissue
- electronic health record
- binding protein
- oxidative stress
- long non coding rna
- single cell
- mass spectrometry
- cell cycle
- machine learning
- endoplasmic reticulum stress
- social media
- label free