Experimental models of cardiac physiology and pathology.
datasetposted on 06.03.2019 by Jae Gyun Oh, changwon kho, Roger J. Hajjar, Kiyotake Ishikawa
Datasets usually provide raw data for analysis. This raw data often comes in spreadsheet form, but can be any collection of data, on which analysis can be performed.
Experimental models of cardiac disease play a key role in understanding the pathophysiology of the disease and developing new
therapies. The features of the experimental models should reflect the clinical phenotype, which can have a wide spectrum of
underlying mechanisms. We review characteristics of commonly used experimental models of cardiac physiology and pathophysiology
in all translational steps including in vitro, small animal, and large animal models. Understanding their characteristics
and relevance to clinical disease is the key for successful translation to effective therapies.