@phdthesis{Thelen2020,
  author    = {Thelen, David},
  title     = {Erstellung eines genregulatorischen Netzwerkes zur Simulation der Entstehung von Zahnhartsubstanz},
  doi       = {10.25972/OPUS-20406},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-204068},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2020},
  abstract  = {In this dissertation, the author describes the creation of a basic bioinformatic model of human enamel maturation. Supported by the interactions found in the KEGG Pathway database, we were able to establish a gene regulatory network (GRN) that focuses primarily on the signal transduction pathways apoptosis, cell cycle, hedgehog signaling pathway, MAP kinase pathway, mTOR signaling pathway, Notch signaling pathway, TGF-β signaling pathway and Wnt signaling pathway. We extended this through further verified interactions and implicated the tooth-specific genes AMELX, AMELY, AMBN, ENAM and DSPP. In the subsequent simulation of the network by the simulation tool Jimena, six stable states could be identified. These are examined in more detail and juxtaposed with results of a GEO dataset. The long-term goal is to draw conclusions about the odontogenesis of humans through consistent optimization of the bioinformatics network.},
  subject      = {Universit{\"a}t W{\"u}rzburg. Lehrstuhl f{\"u}r Bioinformatik},
  language  = {de}
}