Updated project metadata. Aortic valve stenosis (AS) frequently causes heart disease in elderly patients and is characterized by a broad spectrum of hemodynamic phenotypes, some with life-threatening arrhythmias, and increased risk of death. The guideline for management of severe AS in patients is to improve quality of life by transaortic catheter-based valve replacement (TAVR). However, the mechanisms underlying different AS-associated hemodynamic phenotypes remain poorly understood. Proteome profiling by data-independent acquisition mass spectrometry in individual left-ventricular biopsies quantified 2.273 proteins. 160 showed statistically significant abundance changes in AS hearts compared to non-failing samples. Unbiased hierchical clustering identified four different proteotypes which broadly corresponded to hemodynamic phenotypes. As adult cardiomyocytes undergo distinct stages of subcellular remodeling, we used quantitative superresolution microscopy of candidate proteins in left-ventricular biopsies to determine the consequences of dyadic RyR2 protein changes on AS dysfunction in vivo.