Quantitative Analysis of Drosophila period Gene Transcription in Living Animals

DOI Web Site 被引用文献19件
  • Jeffrey D. Plautz
    Department of Biology and NSF Center for Biological Timing, University of Virginia, Charlottesville, VA 22903
  • Martin Straume
    NSF Center for Biological Timing and Department of Internal Medicine, University of Virginia Health Sciences Center, Charlottesville, VA 22908
  • Ralf Stanewsky
    Department of Biology and NSF Center for Biological Timing, Brandeis University, Waltham, MA 02254
  • Creston F. Jamison
    Department of Biology and NSF Center for Biological Timing, Brandeis University, Waltham, MA 02254
  • Christian Brandes
    Department of Biology and NSF Center for Biological Timing, Brandeis University, Waltham, MA 02254
  • Harold B. Dowse
    Department of Zoology, Murray Hall, University of Maine, Orono, ME 04469
  • Jeffrey C. Hall
    Department of Biology and NSF Center for Biological Timing, Brandeis University, Waltham, MA 02254
  • Steve A. Kay
    Department of Biology and NSF Center for Biological Timing, University of Virginia, Charlottesville, VA 22903

抄録

<jats:p> To determine the in vivo regulatory pattern of the clock gene period ( per), the authors recently developed transgenic Drosophila carrying a luciferase cDNA fused to the promoter region of per. They have now carried out noninvasive, high time-resolution experiments allowing high-throughput monitoring of circadian bioluminescence rhythms in individual living adults for several days. This immediately solved several problems (resulting directly from individual asyn chrony within a population) that have accompanied previous biochemical ex periments in which groups of animals were sacrificed at each time point. Furthermore, the authors have developed numerical analysis methods for auto matically determining rhythmicity associated with bioluminescence records from single flies. This has revealed some features of per gene transcription that were previously unappreciated and provides a general strategy for the analysis of rhythmic time series in the study of molecular rhythms. </jats:p>

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