ArticleJournal of biomolecular screening2009
Analysis of toxin-induced changes in action potential shape for drug development.
Article in Journal of biomolecular screening, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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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.
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Who cites it
11 citing papers in PubMed, 24 citations in OpenAlex.
- The Pseudomonas aeruginosa Tse4 toxin assembles ion-selective and voltage-sensitive ion channels to couple membrane depolarisation with K+ efflux.PLoS pathogens · 2025Article
- Neural Tissue-Like, not Supraphysiological, Electrical Conductivity Stimulates Neuronal Lineage Specification through Calcium Signaling and Epigenetic Modification.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Human IPSC-Derived PreBötC-Like Neurons and Development of an Opiate Overdose and Recovery Model.Advanced biology · 2024Article
- Development of a functional human induced pluripotent stem cell-derived nociceptor MEA system as a pain model for analgesic drug testing.Frontiers in cell and developmental biology · 2023Article
- A pilot study of ion current estimation by ANN from action potential waveforms.Journal of biological physics · 2022Article
- Proarrhythmic risk assessment of drugs by dVCPT: pharmacometrics & systems pharmacology · 2022Article
- Artificial neural network model for predicting changes in ion channel conductance based on cardiac action potential shapes generated via simulation.Scientific reports · 2021Article
- Extremely High Frequency Electromagnetic Fields Facilitate Electrical Signal Propagation by Increasing Transmembrane Potassium Efflux in an Artificial Axon Model.Scientific reports · 2018Article
- Exogenous α-synuclein hinders synaptic communication in cultured cortical primary rat neurons.PloS one · 2018Article
- Article
- Characterization of Functional Effects of Two New Active Fractions Isolated From Scorpion Venom on Neuronal CaBasic and clinical neuroscienceArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
The generation of an action potential (AP) is a complex process in excitable cells that involves the temporal opening and closing of several voltage-dependent ion channels within the cell membrane. The shape of an AP can carry information concerning the state of the involved ion channels as well as their relationship to cellular processes. Alteration of these ion channels by the administration of toxins, drugs, and biochemicals can change the AP's shape in a specific way, which can be characteristic for a given compound. Thus, AP shape analysis could be a valuable tool for toxin classification and the measurement of drug effects based on their mechanism of action. In an effort to begin classifying the effect of toxins on the shape of intracellularly recorded APs, patch-clamp experiments were performed on NG108-15 hybrid cells in the presence of veratridine, tetraethylammonium, and quinine. To analyze the effect, the authors generated a computer model of the AP mechanism to determine to what extent each ion channel was affected during compound administration based on the changes in the model parameters. This work is a first step toward establishing a new assay system for toxin detection and identification by AP shape analysis.
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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.