ArticleJournal of molecular and cellular cardiology2018
Quantitative temporal analysis of protein dynamics in cardiac remodeling.
Article in Journal of molecular and cellular cardiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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.
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Who cites it
15 citing papers in PubMed, 26 citations in OpenAlex.
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- Acid cleavable biotin-alkyne improves sensitivity for direct detection of biotin labeled peptides in BONCAT analysis.bioRxiv : the preprint server for biology · 2024Article
- An Integrative Biology Approach to Quantify the Biodistribution of AzidohomoalanineCellular and molecular bioengineering · 2023Article
- Retention Time Alignment for Protein Turnover Studies Using Heavy Water Metabolic Labeling.Journal of proteome research · 2023Article
- Nascent Proteome and Glycoproteome Reveal the Inhibition Role of ALG1 in Hepatocellular Carcinoma Cell Migration.Phenomics (Cham, Switzerland) · 2022Article
- Quantitative BONCAT Allows Identification of Newly Synthesized Proteins after Optic Nerve Injury.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- Nascent Glycoproteome Reveals That N-Linked Glycosylation Inhibitor-1 Suppresses Expression of Glycosylated Lysosome-Associated Membrane Protein-2.Frontiers in molecular biosciences · 2022Article
- GDF15 and Cardiac Cells: Current Concepts and New Insights.International journal of molecular sciences · 2021Review
- Ultrasound-targeted microbubble destruction-mediatedAnnals of translational medicine · 2021Article
- Temporal Quantitative Profiling of Newly Synthesized Proteins during Aβ Accumulation.Journal of proteome research · 2021Article
- Quantitative analysis of global protein stability rates in tissues.Scientific reports · 2020Article
- HuR regulates phospholamban expression in isoproterenol-induced cardiac remodelling.Cardiovascular research · 2020Article
- Unsupervised classification of multi-omics data during cardiac remodeling using deep learning.Methods (San Diego, Calif.) · 2019Article
- Non-canonical amino acid labeling in proteomics and biotechnology.Journal of biological engineering · 2019Review
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Cardiac remodeling (CR) is a complex dynamic process common to many heart diseases. CR is characterized as a temporal progression of global adaptive and maladaptive perturbations. The complex nature of this process clouds a comprehensive understanding of CR, but greater insight into the processes and mechanisms has potential to identify new therapeutic targets. To provide a deeper understanding of this important cardiac process, we applied a new proteomic technique, PALM (Pulse Azidohomoalanine in Mammals), to quantitate the newly-synthesized protein (NSP) changes during the progression of isoproterenol (ISO)-induced CR in the mouse left ventricle. This analysis revealed a complex combination of adaptive and maladaptive alterations at acute and prolonged time points including the identification of proteins not previously associated with CR. We also combined the PALM dataset with our published protein turnover rate dataset to identify putative biochemical mechanisms underlying CR. The novel integration of analyzing NSPs together with their protein turnover rates demonstrated that alterations in specific biological pathways (e.g., inflammation and oxidative stress) are produced by differential regulation of protein synthesis and degradation.
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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.