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Prediction and evaluation of protein–protein interaction in keratinocyte differentiation

Authors
  • Yoon, Hyun Kyung
  • Sohn, Kyung-Cheol
  • Lee, Jung-Suk
  • Kim, Yu Jin
  • Bhak, Jong
  • Yang, Jun-Mo
  • You, Kwan-Hee
  • Kim, Chang-Deok
  • Lee, Jeung-Hoon
Type
Published Article
Journal
Biochemical and Biophysical Research Communications
Publication Date
Jan 01, 2008
Volume
377
Issue
2
Pages
662–667
Identifiers
DOI: 10.1016/j.bbrc.2008.10.051
Source
Elsevier
Keywords
License
Unknown

Abstract

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.

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