Michigan Gastrointestinal Peptide Research Center


Core Facilties


IN VIVO STUDIES CORE

The objective of the In Vivo Studies Core is to provide a venue for focusing the human resources, facilities, new technology and equipment necessary for in vivo study of humans and animals. The Core serves to fully integrate investigations at the molecular, cellular and organ system level that are currently performed within the other Cores of the Center. The Core is organized to bring together expertise and in vivo techniques from different disciplines to investigate the role of peptide hormones in a wide variety of gastrointestinal functions. Toward these goals, the major services provided by the In Vivo Studies Core are as follows:

  • To provide a variety of acute and chronic animal models for in vivo evaluation of the biological actions of peptide hormones.
  • To examine the physiological changes in mouse models following transgene expression or gene mutation.
  • To provide in vivo techniques and tests for the investigation of the physiology and pathophysiology of gastrointestinal peptides in humans.
  • To facilitate innovations in methodology and to develop sophisticated new techniques for in vivo studies.
  • To educate and consult on human clinical studies as well as the application of in vivo techniques so that basic physiological and biochemical questions pertaining to peptide hormones may be answered.
Services
  • PET, fMRI, CEP
  • electrogastrography (EGG),
  • gastrointestinal motility studies using miniature strain-gauge pressure transducers.
  • expertise in the creation, validation and use of acute and chronic animal models appropriate for in vivo investigation
  • Coordination of human tissue collection for in vitro studies such as microarray gene profiling.
  • advice and support on study design as well as statistical and data analysis.
    • Clinical study design
    • Subject specification and sampling techniques
    • Measurements and instruments
    • Sample size estimation and power analysis
    • Data management and statistical analysis
    • Ethical considerations


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