ArticleThe Journal of clinical investigation2014
Protein kinetic signatures of the remodeling heart following isoproterenol stimulation.
Article in The Journal of clinical investigation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
63 citing papers in PubMed, 101 citations in OpenAlex.
- Characterization of human plasma proteome dynamics using deuterium oxide.Proteomics. Clinical applications · 2014Trial
- Kinetic Lipidomics: QuantifyingbioRxiv : the preprint server for biology · 2026Article
- A Computational Model for Determining Labeling Duration in Protein Turnover Studies Using a Single Deuterated Water Labeled Sample.Journal of the American Society for Mass Spectrometry · 2026Article
- Article
- Deuterium labeling enables proteome-wide turnover kinetics analysis in cell culture.Cell reports methods · 2025Article
- Improved Method to Determine Protein Turnover Rates with Heavy Water Labeling by Mass Isotopomer Ratio Selection.Journal of proteome research · 2025Article
- Implications of tissue specific STING protein flux and abundance on inflammation and the development of targeted therapeutics.PloS one · 2025Article
- Missing Values in Longitudinal Proteome Dynamics Studies: Making a Case for Data Multiple Imputation.Journal of proteome research · 2024Article
- Enabling population protein dynamics through Bayesian modeling.Bioinformatics (Oxford, England) · 2024Article
- Myocardial Infarction Suppresses Protein Synthesis and Causes Decoupling of Transcription and Translation.JACC. Basic to translational science · 2024Article
- Metabolomic and proteomic applications to exercise biomedicine.Translational exercise biomedicine · 2024Review
- Circadian Regulation of Cardiac Arrhythmias and Electrophysiology.Circulation research · 2024Review
- Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions.Nature communications · 2024Article
- Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions.bioRxiv : the preprint server for biology · 2024Article
- Eosinophils protect pressure overload- and β-adrenoreceptor agonist-induced cardiac hypertrophy.Cardiovascular research · 2023Article
- Insights and perspectives into clinical biomarker discovery in pediatric heart failure and congenital heart disease-a narrative review.Cardiovascular diagnosis and therapy · 2023Review
- Determining and interpreting protein lifetimes in mammalian tissues.Trends in biochemical sciences · 2023Review
- Influence of sex, age and diabetes on brain transcriptome and proteome modifications following cerebral ischemia.BMC neuroscience · 2023Article
- Utilizing Nonequilibrium Isotope Enrichments to Dramatically Increase Turnover Measurement Ranges in Single Biopsy Samples from Humans.Journal of proteome research · 2022Article
- Protein turnover models for LC-MS data of heavy water metabolic labeling.Briefings in bioinformatics · 2022Article
3 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
14 authors at 2 institutions in 2 countries.
Funding
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.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.