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Sci Data. 2016 Mar 15;3:160015. doi: 10.1038/sdata.2016.15.

A large dataset of protein dynamics in the mammalian heart proteome.

Lau E1,2, Cao Q1,2,3, Ng DC1,2, Bleakley BJ1,2, Dincer TU1,2,4, Bot BM1,5, Wang D1,2, Liem DA1,2, Lam MP1,2,4, Ge J3, Ping P1,2,4,6.

Author information

1
The NIH Big Data to Knowledge (BD2K) Center of Excellence in Biomedical Computing at UCLA, Los Angeles, California 90095, USA.
2
Department of Physiology, University of California at Los Angeles, Los Angeles, California 90095, USA.
3
Department of Shanghai Institute of Cardiovascular Diseases, Zhongshan Hospital, Fudan University, Shanghai 200032, China.
4
Department of Bioinformatics, University of California at Los Angeles, Los Angeles, California 90095, USA.
5
Department of Sage Bionetworks, Seattle, Washignton 98109, USA.
6
Department of Medicine,University of California at Los Angeles, Los Angeles, California 90095, USA.

Abstract

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.

PMID:
26977904
PMCID:
PMC4792174
DOI:
10.1038/sdata.2016.15
[Indexed for MEDLINE]
Free PMC Article

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