ReviewCirculation research2011
Computational models reduce complexity and accelerate insight into cardiac signaling networks.
Review in Circulation research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 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
37 citing papers in PubMed.
- Obesity-induced oleic acid metabolic dysregulation may exacerbate osteoarthritis through the degradation of SOX9.Cellular and molecular life sciences : CMLS · 2026Article
- Calcium dynamics in small spaces: Lessons learned from modeling in dendritic spines.Biophysical journal · 2025Review
- Integrated network pharmacology, molecular docking and experimental validation to explore the mechanism of Dingji Fumai Decoction against LQTS.Scientific reports · 2025Article
- Predictive Modeling of Human Skin Deformation and Growth During Tissue Expansion in Postmastectomy Breast Reconstruction.Journal of biomechanical engineering · 2025Article
- Identifying therapeutic target genes for diabetic retinopathy using systematic druggable genome-wide Mendelian randomization.Diabetology & metabolic syndrome · 2025Article
- A Machine Learning Pipeline to Screen Large In Vivo Molecular Data to Curate Disease Signatures of High Translational Potential.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Fluorescent biosensor imaging meets deterministic mathematical modelling: quantitative investigation of signalling compartmentalization.The Journal of physiology · 2023Review
- Combining Cell Technologies With Biomimetic Tissue Engineering Applications: A New Paradigm for Translational Cardiovascular Therapies.Stem cells translational medicine · 2023Review
- Neutrophil crosstalk during cardiac wound healing after myocardial infarction.Current opinion in physiology · 2021Article
- Network Analysis Reveals a Distinct Axis of Macrophage Activation in Response to Conflicting Inflammatory Cues.Journal of immunology (Baltimore, Md. : 1950) · 2021Article
- Potential Mechanism of Dingji Fumai Decoction Against Atrial Fibrillation Based on Network Pharmacology, Molecular Docking, and Experimental Verification Integration Strategy.Frontiers in cardiovascular medicine · 2021Article
- Context-specific network modeling identifies new crosstalk in β-adrenergic cardiac hypertrophy.PLoS computational biology · 2020Article
- Biomechanics of infarcted left ventricle: a review of modelling.Biomedical engineering letters · 2020Review
- A Mathematical Model of the Mouse Atrial Myocyte With Inter-Atrial Electrophysiological Heterogeneity.Frontiers in physiology · 2020Article
- Stretch-activated current in human atrial myocytes and NaBiomedical engineering online · 2019Article
- Mechanical regulation of gene expression in cardiac myocytes and fibroblasts.Nature reviews. Cardiology · 2019Review
- Cardiovascular disease models: A game changing paradigm in drug discovery and screening.Biomaterials · 2019Review
- Genetically Encoded Fluorescent Biosensors Illuminate the Spatiotemporal Regulation of Signaling Networks.Chemical reviews · 2018Review
- An Introduction to Computational Modeling of Cardiac Electrophysiology and Arrhythmogenicity.Methods in molecular biology (Clifton, N.J.) · 2018Article
- Cardiac macrophage biology in the steady-state heart, the aging heart, and following myocardial infarction.Translational research : the journal of laboratory and clinical medicine · 2018Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Cardiac signaling networks exhibit considerable complexity in size and connectivity. The intrinsic complexity of these networks complicates the interpretation of experimental findings. This motivates new methods for investigating the mechanisms regulating cardiac signaling networks and the consequences these networks have on cardiac physiology and disease. Next-generation experimental techniques are also generating a wealth of genomic and proteomic data that can be difficult to analyze or interpret. Computational models are poised to play a key role in addressing these challenges. Computational models have a long history in contributing to the understanding of cardiac physiology and are useful for identifying biological mechanisms, inferring multiscale consequences to cell signaling activities and reducing the complexity of large data sets. Models also integrate well with experimental studies to explain experimental observations and generate new hypotheses. Here, we review the contributions computational modeling approaches have made to the analysis of cardiac signaling networks and forecast opportunities for computational models to accelerate cardiac signaling research.
Indexed as
Identifiers
What Socratic 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 Socratic graph.