ArticleBiophysical journal2017
ParamAP: Standardized Parameterization of Sinoatrial Node Myocyte Action Potentials.
Article in Biophysical journal, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- The Binding of Fibroblast Growth Factor 23 (FGF23) to FGF Receptor-αKlotho Complex Increases Sinoatrial Electrical Activity.Acta physiologica (Oxford, England) · 2026Article
- A modified method for isolating sinoatrial node myocytes from adult mice.In vitro cellular & developmental biology. Animal · 2024Article
- SanPy: Software for the analysis and visualization of whole-cell current-clamp recordings.Biophysical journal · 2024Article
- ActionPytential: An open source tool for analyzing and visualizing cardiac action potential data.Heliyon · 2023Article
- MicroRNA-dependent suppression of biological pacemaker activity induced by TBX18.Cell reports. Medicine · 2022Article
- The funny current If is essential for the fight-or-flight response in cardiac pacemaker cells.The Journal of general physiology · 2022Article
- Frequency-Dependent Properties of the Hyperpolarization-Activated Cation Current, IInternational journal of molecular sciences · 2022Article
- Hypoglycaemia combined with mild hypokalaemia reduces the heart rate and causes abnormal pacemaker activity in a computational model of a human sinoatrial cell.Journal of the Royal Society, Interface · 2021Article
- An OpenCV-Based Approach for Automated Cardiac Rhythm Measurement in Zebrafish from Video Datasets.Biomolecules · 2021Article
- Bidirectional flow of the funny current (IProceedings of the National Academy of Sciences of the United States of America · 2021Article
- Intracellular NaInternational journal of molecular sciences · 2021Article
- Cardiac Pacemaker Activity and Aging.Annual review of physiology · 2020Review
- ParamAP: Standardized Parameterization of Sinoatrial Node Myocyte Action Potentials.Biophysical journal · 2017Article
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Authors and funding
2 authors.
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Abstract
Sinoatrial node myocytes act as cardiac pacemaker cells by generating spontaneous action potentials (APs). Much information is encoded in sinoatrial AP waveforms, but both the analysis and the comparison of AP parameters between studies is hindered by the lack of standardized parameter definitions and the absence of automated analysis tools. Here we introduce ParamAP, a standalone cross-platform computational tool that uses a template-free detection algorithm to automatically identify and parameterize APs from text input files. ParamAP employs a graphic user interface with automatic and user-customizable input modes, and it outputs data files in text and PDF formats. ParamAP returns a total of 16 AP waveform parameters including time intervals such as the AP duration, membrane potentials such as the maximum diastolic potential, and rates of change of the membrane potential such as the diastolic depolarization rate. ParamAP provides a robust AP detection algorithm in combination with a standardized AP parameter analysis over a wide range of AP waveforms and firing rates, owing in part to the use of an iterative algorithm for the determination of the threshold potential and the diastolic depolarization rate that is independent of the maximum upstroke velocity, a parameter that can vary significantly among sinoatrial APs. Because ParamAP is implemented in Python 3, it is also highly customizable and extensible. In conclusion, ParamAP is a powerful computational tool that facilitates quantitative analysis and enables comparison of sinoatrial APs by standardizing parameter definitions and providing an automated work flow.
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