biostudies-literatureUnknown4Busch HTranslation of large-scale data into a coherent model that allows one to simulate, predict and control cellular behavior is far from being resolved. Assuming that long-term cellular behavior is reflected in the gene expression kinetics, we infer a dynamic gene regulatory network from time-series measurements of DNA microarray data of hepatocyte growth factor-induced migration of primary human keratinocytes. Transferring the obtained interactions to the level of signaling pathways, we predict in silico and verify in vitro the necessary and sufficient time-ordered events that control migration. We show that pulse-like activation of the proto-oncogene receptor Met triggers a responsive state, whereas time sequential activation of EGF-R is required to initiate and maintain migration. Context iMolecular systems biology199https://www.ebi.ac.uk/biostudies/studies/S-EPMC2516358biostudies-literatureGene network dynamics controlling keratinocyte migration.PMC2516358Szabowski ABreuhahn KAngel PEils RCamacho-Trullio DBusch HRogon ZfalseGene network dynamics controlling keratinocyte migration.Translation of large-scale data into a coherent model that allows one to simulate, predict and control cellular behavior is far from being resolved. Assuming that long-term cellular behavior is reflected in the gene expression kinetics, we infer a dynamic gene regulatory network from time-series measurements of DNA microarray data of hepatocyte growth factor-induced migration of primary human keratinocytes. Transferring the obtained interactions to the level of signaling pathways, we predict in silico and verify in vitro the necessary and sufficient time-ordered events that control migration. We show that pulse-like activation of the proto-oncogene receptor Met triggers a responsive state, whereas time sequential activation of EGF-R is required to initiate and maintain migration. Context i2008-01-01T00:00:00Z20082026-05-04T12:05:27.199Z2026-04-07T20:26:02.073ZS-EPMC25163581859451710.1038/msb.2008.36