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Protein kinetic signatures of the remodeling heart following isoproterenol stimulation
Maggie P.Y. Lam, … , Mario C. Deng, Peipei Ping
Maggie P.Y. Lam, … , Mario C. Deng, Peipei Ping
Published March 10, 2014
Citation Information: J Clin Invest. 2014;124(4):1734-1744. https://doi.org/10.1172/JCI73787.
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Technical Advance Cardiology

Protein kinetic signatures of the remodeling heart following isoproterenol stimulation

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Abstract

Protein temporal dynamics play a critical role in time-dimensional pathophysiological processes, including the gradual cardiac remodeling that occurs in early-stage heart failure. Methods for quantitative assessments of protein kinetics are lacking, and despite knowledge gained from single-protein studies, integrative views of the coordinated behavior of multiple proteins in cardiac remodeling are scarce. Here, we developed a workflow that integrates deuterium oxide (2H2O) labeling, high-resolution mass spectrometry (MS), and custom computational methods to systematically interrogate in vivo protein turnover. Using this workflow, we characterized the in vivo turnover kinetics of 2,964 proteins in a mouse model of β-adrenergic–induced cardiac remodeling. The data provided a quantitative and longitudinal view of cardiac remodeling at the molecular level, revealing widespread kinetic regulations in calcium signaling, metabolism, proteostasis, and mitochondrial dynamics. We translated the workflow to human studies, creating a reference dataset of 496 plasma protein turnover rates from 4 healthy adults. The approach is applicable to short, minimal label enrichment and can be performed on as little as a single biopsy, thereby overcoming critical obstacles to clinical investigations. The protein turnover quantitation experiments and computational workflow described here should be widely applicable to large-scale biomolecular investigations of human disease mechanisms with a temporal perspective.

Authors

Maggie P.Y. Lam, Ding Wang, Edward Lau, David A. Liem, Allen K. Kim, Dominic C.M. Ng, Xiangbo Liang, Brian J. Bleakley, Chenguang Liu, Jason D. Tabaraki, Martin Cadeiras, Yibin Wang, Mario C. Deng, Peipei Ping

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Figure 5

Measurement of protein turnover from a single biopsy.

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Measurement of protein turnover from a single biopsy.
(A) Simulation of ...
(A) Simulation of the mass isotopomer abundance curves of the same peptide sequence as shown in Figure 4D, but with different hypothetical turnover rates (k), according to the nonlinear model. Puncta denote the corresponding mass isotopomer abundance (m0/mi) that would be measured from a single time-point experiment on day 8 of labeling. A single (m0/mi) value is therefore sufficient to deduce k. (B) Experimental data and fitting of the same peptide sequence as shown in Figure 4D, but from our single-point experiment on the day 8 plasma sample from subject 1. Triplicate data points acquired from the single sample define the kinetic curve to the same effect as the multiple data points from different time points as in Figure 4D, demonstrating the feasibility of acquiring protein kinetics information without a time-course experiment. (C) Correlations in turnover rates between peptides commonly analyzed from single-point sampling and 15-point time-course experiments from subjects 1 (top) and 2 (bottom). The average peptide relative standard error was ≈20% compared with the time-course experiment.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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