ReviewMolecular & cellular proteomics : MCP2023
Uncovering Protein Networks in Cardiovascular Proteomics.
Review in Molecular & cellular proteomics : MCP, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Genetic drivers of congenital cardiac fibrosis.Communications biology · 2026Review
- Precision Profiling of the Cardiovascular Post-Translationally Modified Proteome.Journal of cardiovascular development and disease · 2026Review
- Integrated proteomics and metabolomics analyses reveal potential molecular signatures of rabbit atherosclerotic plaques.International journal of cardiology. Heart & vasculature · 2025Article
- A ratiometric catalog of protein isoform shifts in the cardiac fetal gene program.JCI insight · 2025Article
- Ion channel traffic jams: the significance of trafficking deficiency in long QT syndrome.Cell discovery · 2025Review
- Proteomics of the heart.Physiological reviews · 2024Review
- Clinical Proteomics: A Promise Becoming Reality.Molecular & cellular proteomics : MCP · 2024Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Biological networks have been widely used in many different diseases to identify potential biomarkers and design drug targets. In the present review, we describe the main computational techniques for reconstructing and analyzing different types of protein networks and summarize the previous applications of such techniques in cardiovascular diseases. Existing tools are critically compared, discussing when each method is preferred such as the use of co-expression networks for functional annotation of protein clusters and the use of directed networks for inferring regulatory associations. Finally, we are presenting examples of reconstructing protein networks of different types (regulatory, co-expression, and protein-protein interaction networks). We demonstrate the necessity to reconstruct networks separately for each cardiovascular tissue type and disease entity and provide illustrative examples of the importance of taking into consideration relevant post-translational modifications. Finally, we demonstrate and discuss how the findings of protein networks could be interpreted using single-cell RNA-sequencing data.
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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.