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Background: Plasminogen activator inhibitor-2 (PAI-2) is an enzyme inhibitor which is involved in various biological processes including cell differentiation, tissue regrowth and regeneration. Although PAI-2 has been originally isolated as an extracellular inhibitor of urokinase plasminogen activator (uPA), recent studies indicate that PAI-2 has other intracellular effects in keratinocyte, such as the component of cornified envelope., Objective: The aim of this study is to investigate the expression and functional role of PAI-2 during the keratinocyte differentiation., Methods: We transduced keratinocytes with adenovirus harboring the expression cassette for PAI-2, then examined the effect on keratinocytes differentiation., Results: When cultured epidermal keratinocytes were treated with 1.2 mM calcium, PAI-2 expression was increased time-dependently at both mRNA and protein levels. The calcium-induced PAI-2 expression was abolished by treatment with p38 MAPK inhibitor, while overexpression of MKK6 led to the increase of PAI-2 expression. When PAI-2 was overexpressed by adenoviral transduction, the expression of keratinocyte differentiation markers such as involucrin, keratin 10 and loricrin was markedly increased. Concomitantly, overexpression of PAI-2 resulted in the retardation of cell growth, with the increase of Rb and p53., Conclusion: These results suggest that PAI-2 has a role for promoting the differentiation of epidermal keratinocytes., (Copyright (c) 2010 Japanese Society for Investigative Dermatology. Published by Elsevier Ireland Ltd. All rights reserved.)

During a search for keratinocyte differentiation-related genes, we obtained a cDNA fragment from the 5'-untranslated region of a previously identified splicing variant of desmoglein 3 (Dg3). This transcript encodes a protein of 282 amino acids, which corresponds to the N-terminal truncated intracellular domain of Dg3 (deltaNDg3). Northern blot analysis detected a 4.6-kb transcript matching the predicted size of deltaNDg3 mRNA, and Western blot analysis with an antibody raised against the Dg3 C-terminus (H-145) detected a 31-kDa protein. Increased deltaNDg3 expression was observed in differentiating keratinocytes by RT-PCR and Western blot analysis, suggesting that deltaNDg3 is indeed a differentiation-related gene product. In immunohistochemical studies of normal and pathologic tissues, H-145 antibody detected the protein in the cytoplasm of suprabasal layer cells, whereas an antibody directed against the N-terminal region of Dg3 (AF1720) reacted with a membrane protein in the basal layer. In addition, deltaNDg3 transcript and protein were upregulated in psoriatic epidermis, and protein expression appeared to increase in epidermal tumors including Bowen's disease and squamous cell carcinoma. Moreover, overexpression of deltaNDg3 led to increased migration and weakening of cell adhesion. These results suggest that deltaNDg3 have a role in keratinocyte differentiation, and that may be related with tumorigenesis of epithelial origin.

Terminal differentiation of skin keratinocytes is a vertically directed multi-step process that is tightly controlled by the sequential expression of a variety of genes. We previously investigated the gene expression profile and found that many of differentiation-related genes expressed in a temporally regulated manner. In this study, we attempted to find the hub-molecules and their intracellular signaling networks during keratinocyte differentiation using in silico analysis of data obtained from previous studies. We used protein-protein interaction prediction software called PSIMAP, and drew a hypothetical signaling network. We chose one candidate hub-molecule SHC1 that were predicted to link EGFR and MAPK signal, and then evaluated the protein-protein interactions experimentally. As predicted, SHC1 bound to the MEK1 in an EGF-regulated manner. Furthermore, SHC1 bound to the MEK1 and p38 MAPK in a keratinocyte differentiation dependent manner. These results demonstrate that in silico protein-protein interaction prediction system can be used to efficiently and cost-effectively select the experimental candidates.