The researchers used proteomic profiling and computational approaches to identify and determine the relative abundance of thousands of proteins in heart tissue. The studies were conducted in key animal models, including tissue isolated from pre-symptomatic and overtly diseased adult mice, as well as from control mice. The project team also compared changes in the proteomes of heart tissue from patients suffering from heart failure with those with normal, healthy hearts, to identify the unique protein markers for heart failure. In parallel, statistical approaches were developed to evaluate the resulting datasets, associating protein patterns with specific disease stages.