Atrial Granules in Atrial Cardiomyocytes as Acidic Calcium Stores
Akerman, E.; Aston, D.; Rog-Zielinska, E.; Boland, B.; Schotten, U.; Verheule, S.; Capel, R. A.; Burton, R. A. B.
Show abstract
Acidic calcium stores significantly influence basal calcium transient amplitude and {beta}-adrenergic responses in cardiomyocytes. Atrial myocytes express a small acidic organelle called atrial granules (AG), which store and excrete atrial natriuretic peptide and are not expressed by healthy ventricular myocytes. AG are known to be acidic with a high calcium content. The number and position of these calcium-rich organelles relative to other signaling sites has not been investigated. Staining of acidic organelles in adult guinea pig cardiomyocytes showed the presence of fluorescent acidic puncta throughout the cytosol. Atrial myocytes exhibited an increased concentration of acidic organelles at the nuclear poles. Live cell fluorescent studies using PBA to inhibit peptidylglycine -amidating monooxygenase, a crucial component of AG membranes, effectively eliminated staining at the nuclear poles and most acidic puncta in atrial cells. The application of PBA to ventricular myocytes did not affect LysoTracker staining. Electron microscopy studies on goat atrial fibrillation (AF) and sham control tissue, allowed visualization of AGs. Quantitative analysis revealed AGs to be in close apposition to the sarcoplasmic reticulum and mitochondria. AGs were significantly increased in AF goat samples when compared to sinus rhythm from 3D electron tomography images. Our imaging studies suggest that AGs make up a large percentage of atrial acidic stores, with AG associated with the sarcoplasmic reticulum and their number increasing during AF. We raise the question whether the positioning of AGs are strategic to communicate with other calcium organelles. Further studies to investigate whether AGs contribute to physiological calcium signalling are required.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Demonstration of Patient-Specific Simulations To Assess Left Atrial Appendage Thrombogenesis Risk 93%
- A distinct pool of Nav1.5 channels at the lateral membrane of murine ventricular cardiomyocytes 93%
- Biophysical Characterization of A Novel SCN5A Mutation Associated with an Atypical Phenotype of Atrial and Ventricular Arrhythmias and Sudden Death 92%
Similar papers in this journal
- Associations between biomarkers and p-wave indices in relation to atrial fibrillation development in heart failure patients 93%
- Distinct Excitability Properties of Cardiac Calbindin Neurons: Identifying a Unique Neuronal Population 93%
- Linking the Heart-Eye-Brain Axis: Ocular and Cerebral Blood Flow After Catheter Ablation in Atrial Fibrillation 92%
Similar papers in this journal
- High-resolution Spatiotemporal Changes in Dominant Frequency and Structural Organization During Persistent Atrial Fibrillation 95%
- The Transcriptional Landscape of Atrial Fibrillation: A Systematic Review and Meta-analysis 94%
- Predictors and outcomes of Cardiac Dyssynchrony among patients with heart failure attending Benjamin Mkapa Hospital in Dodoma, central Tanzania: A protocol of prospective-longitudinal study 93%
Similar papers in this journal
- Activation of IP3R in atrial cardiomyocytes leads to generation of cytosolic cAMP 95%
- Cardiac acetylcholinesterase and butyrylcholinesterase have distinct localization and function 93%
- Chronic nicotine exposure is associated with electrophysiological and sympathetic remodeling in the intact rabbit heart 93%
Similar papers in this journal
- Atrial Proteomic Profiling Reveals a Switch Towards Profibrotic Gene Expression Program in CREM-IbΔC-X Mice with Persistent Atrial Fibrillation 95%
- Remodelling of potassium currents underlies arrhythmic action potential prolongation under beta-adrenergic stimulation in hypertrophic cardiomyopathy 94%
- The Sodium/Glucose Cotransporter 2 Inhibitor Empagliflozin Inhibits Long QT 3 Late Sodium Currents in a Mutation Specific Manner 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.