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Boolean approach to signalling pathway modelling in HGF-induced keratinocyte migration
Author(s) -
Amit Singh,
Juliascimento,
Silke Kowar,
Hauke Busch,
Melanie Boerries
Publication year - 2012
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bts410
Subject(s) - autocrine signalling , hepatocyte growth factor , hepatocyte growth factor receptor , biology , signalling , cell migration , gene regulatory network , microbiology and biotechnology , computational biology , computer science , c met , receptor , cell , gene , genetics , gene expression
Cell migration is a complex process that is controlled through the time-sequential feedback regulation of protein signalling and gene regulation. Based on prior knowledge and own experimental data, we developed a large-scale dynamic network describing the onset and maintenance of hepatocyte growth factor-induced migration of primary human keratinocytes. We applied Boolean logic to capture the qualitative behaviour as well as short-and long-term dynamics of the complex signalling network involved in this process, comprising protein signalling, gene regulation and autocrine feedback.

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