ReviewJournal of cardiovascular development and disease2018
Using cAMP Sensors to Study Cardiac Nanodomains.
Review in Journal of cardiovascular development and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed, 28 citations in OpenAlex.
- Nanodomain cAMP signaling in cardiac pathophysiology: potential for developing targeted therapeutic interventions.Physiological reviews · 2025Review
- Article
- Signalling of Adrenoceptors: Canonical Pathways and New Paradigms.Handbook of experimental pharmacology · 2024Review
- Cardiac contraction and relaxation are regulated by distinct subcellular cAMP pools.Nature chemical biology · 2024Article
- Mice Lacking the cAMP Effector Protein POPDC1 Show Enhanced Hippocampal Synaptic Plasticity.Cerebral cortex (New York, N.Y. : 1991) · 2022Article
- Understanding the Role of SERCA2a Microdomain Remodeling in Heart Failure Induced by Obesity and Type 2 Diabetes.Journal of cardiovascular development and disease · 2022Review
- Tuning the Consonance of Microscopic Neuro-Cardiac Interactions Allows the Heart Beats to Play Countless Genres.Frontiers in physiology · 2022Review
- Compartmentalized cAMP signaling in cardiac ventricular myocytes.Cellular signalling · 2022Review
- An update of cyclic nucleotide phosphodiesterase as a target for cardiac diseases.Expert opinion on drug discovery · 2021Review
- Cellular and molecular effects of hyperglycemia on ion channels in vascular smooth muscle.Cellular and molecular life sciences : CMLS · 2021Review
- Inhibition of the Proliferation of Human Lung Fibroblasts by Prostacyclin Receptor Agonists is Linked to a Sustained cAMP Signal in the Nucleus.Frontiers in pharmacology · 2021Article
- Imaging cAMP nanodomains in the heart.Biochemical Society transactions · 2019Review
- Whole-Cell cAMP and PKA Activity are Epiphenomena, Nanodomain Signaling Matters.Physiology (Bethesda, Md.) · 2019Review
- Modes of Calcium Regulation in Ischemic Neuron.Indian journal of clinical biochemistry : IJCB · 2019Review
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 at 1 institution in 1 country.
Funding
Abstract
3',5'-cyclic adenosine monophosphate (cAMP) signalling plays a major role in the cardiac myocyte response to extracellular stimulation by hormones and neurotransmitters. In recent years, evidence has accumulated demonstrating that the cAMP response to different extracellular agonists is not uniform: depending on the stimulus, cAMP signals of different amplitudes and kinetics are generated in different subcellular compartments, eliciting defined physiological effects. In this review, we focus on how real-time imaging using fluorescence resonance energy transfer (FRET)-based reporters has provided mechanistic insight into the compartmentalisation of the cAMP signalling pathway and allowed for the precise definition of the regulation and function of subcellular cAMP nanodomains.
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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.