Patients with various forms of heart and lung disease exhibit varying degrees of pulmonary hypertension, pulmonary vascular remodeling, and right ventricular dysfunction. The genetic, molecular, and cellular processes driving these phenomena are not well understood. Rapid advances in high throughput omic methodology, combined with powerful bioinformatics and network biology capability, have created the opportunity to conduct studies that broadly search for homologies and differences across the spectrum of disease states associated with pulmonary hypertension, and determinants of the spectrum of right ventricular compensation that accompanies these conditions