The aforementioned analytical and computational advances have enabled novel and noteworthy applications in cardiovascular proteomics. An exciting trend is to venture beyond simply inventorying which proteins are present in the heart or the blood, and into quantifying their dynamic and spatiotemporal properties. Protein complexity necessitates that many parameters are needed to sufficiently describe the overall proteome in a particular physiological state. New methodologies continually arise that enable new insights into protein–protein interactions [58], protein homeostasis [59], and spatial distributions [60]. Many molecular parameters are now known to be directly involved in disease pathogenesis thanks to proteomics studies, including the PTMs of proteins, their spatiotemporal distributions, and interacting partners.