@phdthesis{Schubert2019,
  author    = {Schubert, Frank Klaus},
  title     = {The circadian clock network of \(Drosophila\) \(melanogaster\)},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-157136},
  school      = {Universit{\"a}t W{\"u}rzburg},
  year      = {2019},
  abstract  = {All living organisms need timekeeping mechanisms to track and anticipate cyclic changes in their environment. The ability to prepare for and respond to daily and seasonal changes is endowed by circadian clocks. The systemic features and molecular mechanisms that drive circadian rhythmicity are highly conserved across kingdoms. Therefore, Drosophila melanogaster with its relatively small brain (ca. 135.000 neurons) and the outstanding genetic tools that are available, is a perfect model to investigate the properties and relevance of the circadian system in a complex, but yet comprehensible organism. The last 50 years of chronobiological research in the fruit fly resulted in a deep understanding of the molecular machinery that drives circadian rhythmicity, and various histological studies revealed the neural substrate of the circadian system. However, a detailed neuroanatomical and physiological description on the single-cell level has still to be acquired. Thus, I employed a multicolor labeling approach to characterize the clock network of Drosophila melanogaster with single-cell resolution and additionally investigated the putative in- and output sites of selected neurons. To further study the functional hierarchy within the clock network and to monitor the "ticking clock" over the course of several circadian cycles, I established a method, which allows us to follow the accumulation and degradation of the core clock genes in living brain explants by the means of bioluminescence imaging of single-cells.},
  subject      = {Taufliege},
  language  = {en}
}