Evidence map›Paper›PMID 28834713›Full record

ArticleBiophysical journal2017

ParamAP: Standardized Parameterization of Sinoatrial Node Myocyte Action Potentials.

Christian Rickert, Catherine Proenza

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. A modified method for isolating sinoatrial node myocytes from adult mice.In vitro cellular & developmental biology. Animal · 2024
    Article
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  10. Bidirectional flow of the funny current (IProceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  11. Intracellular NaInternational journal of molecular sciences · 2021
    Article
  12. Cardiac Pacemaker Activity and Aging.Annual review of physiology · 2020
    Review
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Christian RickertDepartment of Physiology and Biophysics, University of Colorado-Anschutz Medical Campus, Aurora, Colorado.
Catherine ProenzaDepartment of Physiology and Biophysics, University of Colorado-Anschutz Medical Campus, Aurora, Colorado. Electronic address: catherine.proenza@ucdenver.edu.

Funding

Regulation of excitability in sinoatrial myocytesR01HL088427 · NHLBI · UNIVERSITY OF CONNECTICUT STORRS · PI PROENZA, CATHERINE · 2008 to 2024
$5.8M
NHLBI NIH HHS R01 HL088427
6 · The paper itself

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.

Indexed as

Action PotentialsComputational BiologyMuscle CellsReference StandardsReproducibility of ResultsSinoatrial NodeStatistics as Topic

Identifiers

PMID28834713
PMCPMC5567588

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.