Preclinical Models Core

The Preclinical Models Core in the San Diego Digestive Diseases Research Center will provide access to animal models of gastrointestinal and liver disease for preclinical studies and will assist in characterizing disease activity. The Core will provide resources in veterinary sciences and a technical infrastructure that enables animals to be studied comprehensively. The services will include consultation on the selection and interpretation of animal models of digestive diseases, ante-mortem imaging and post-mortem examination, including the development and interpretation of scoring systems by veterinarians trained in comparative pathology. The Core will be led by two experienced leaders with strong track records in applying animal models to basic and preclinical questions: Dr. Peter Ernst, a PhD veterinarian, will be the Core Director and focus on murine models of gastrointestinal disease and in vivo imaging. As the Core Co-Director, Dr. Tatiana Kisseleva will provide her extensive experience with animal models of liver disease. Furthermore, the Core will interact with and directly complement the Human Translational and Microbiomics and Functional Genomics Cores by being able to relate the imaging results, biomarkers and clinical data to specific outcomes in animal models and human disease.

Services Offered:

  • Animal models of infectious and non-infectious forms of injury and inflammation in the gastrointestinal tract, toxic liver injury and fibrosis, non-alcoholic fatty liver disease and steatohepatitis, alcoholic liver disease, and liver cancer.
  • Gnotobiotic animal models
  • Animal imaging (MRI scanning, intestinal endoscopy)
  • Services in histopathology including tissue preparation, fixation, routine and specialized staining, state-of-the-art microscopy, and interpretative pathology
  • Consultation and training on the principles, experimental design, methods and data analysis for various animal models and assays.


For obtaining services, Center members can make an online request: