October 13, 2016
1pm EST to 2pm EST

Sponsored by
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Webinar Description:

Immunological Methods – Understanding and Enhancement of Pre-Clinical Animals Models of Disease. Aspects of both the innate and adaptive immune systems are involved in the vast majority of animal disease models. Knowledge of the immunological mechanisms involved in the pathogenesis of disease can therefore be used to great effect in the design and understanding of pre-clinical models of disease, and enhance their predictive value with respect to the development of novel therapeutics. The application of techniques such as flow cytometry, magnetic and fluorescence activated cell sorting, antigen/adjuvant exposure, and adoptive cell transfers has allowed for the generation of new models, as well as the enhancement and modification of existing models for specific purposes. This webinar discusses the application of these immunological methods and the advantages they provide in the setting of multiple validated pre-clinical animal models over a wide variety of disease platforms including GVHD, colitis, arthritis, and multiple sclerosis.

Learning Objectives:

  • Understanding the Application of immunological techniques
  • Advantages of Utilizing Immunological Techniques in Disease Models
  • Introduction to specific animal models (GVHD, colitis, arthritis, and multiple sclerosis)


Dominic R. Beal, Ph.D.


Biomodels LLC

Dr. Beal joined Biomodels in 2013 after completing his doctoral studies at Boston University School of Medicine, where he studied the role of macrophage phenotypes in the immuno-pathology of asthma. He previously lived in England where he received his MSc in the immunology of infectious disease from the London School of Hygiene & Tropical Medicine, studying the effects of malaria-schistosomiasis co-infections on dendritic cell function, and his MA from Trinity Hall at the University of Cambridge. Dr. Beal's main areas of interest are immune cell interactions and the mechanisms underlying the generation and manipulation of immune responses by pathogens and disease states.