Protein stability is a major regulatory principle of protein function and cellular homeostasis. Despite limited understanding on mechanisms, disruption of protein turnover is widely implicated in diverse pathologies from heart failure to neurodegenerations. Information on global protein dynamics therefore has the potential to expand the depth and scope of disease phenotyping and therapeutic strategies. Using an integrated platform of metabolic labeling, high-resolution mass spectrometry and computational analysis, we report here a comprehensive dataset of the in vivo half-life of 3,228 and the expression of 8,064 cardiac proteins, quantified under healthy and hypertrophic conditions across six mouse genetic strains commonly employed in biomedical research. We anticipate these data will aid in understanding key mitochondrial and metabolic pathways in heart diseases, and further serve as a reference for methodology development in dynamics studies in multiple organ systems.
[1]Univ Calif Los Angeles, NIH Big Data Knowledge BD2K Ctr Excellence Biomed, Los Angeles, CA 90095 USA.
[2]Univ Calif Los Angeles, Dept Physiol, Los Angeles, CA 90095 USA.
[3]Fudan Univ, Dept Shanghai Inst Cardiovasc Dis, Zhongshan Hosp, Shanghai 200032, Peoples R China.
[4]Univ Calif Los Angeles, Dept Bioinformat, Los Angeles, CA 90095 USA.
[5]Dept Sage Bionetworks, Seattle, WA 98109 USA.
[6]Univ Calif Los Angeles, Dept Med, Los Angeles, CA 90095 USA.
(8.0+极速模式)