Evidence map›Paper›PMID 16460924›Full record

ArticleBiosensors & bioelectronics2006

Toxin detection based on action potential shape analysis using a realistic mathematical model of differentiated NG108-15 cells.

Dinesh K Mohan, Peter Molnar, James J Hickman

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Nanoscale Nonlinear dynamic characterization of the neuron-electrode junction.Journal of computational and theoretical nanoscience · 2008
    Article
  9. 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

3 authors.

Dinesh K MohanDepartment of Electrical Engineering, Clemson University, Clemson, SC 29634, USA.
Peter Molnar
James J Hickman

Funding

Engineered neuronal networks for drug screeningK01EB003465 · NIBIB · UNIVERSITY OF CENTRAL FLORIDA · PI MOLNAR, PETER · 2004 to 2008
$550k
NIBIB NIH HHS K01 EB003465
6 · The paper itself

Abstract

The NG108-15 neuroblastoma/glioma hybrid cell line has been frequently used for toxin detection, pharmaceutical screening and as a whole-cell biosensor. However, detailed analysis of its action potentials during toxin or drug administration has not been accomplished previously using patch clamp electrophysiology. In order to explore the possibility of identifying toxins based on their effect on the shape of intracellularly or extracellularly detected action potentials, we created a computer model of the action potential generation of this cell type. To generate the experimental data to validate the model, voltage dependent sodium, potassium and high-threshold calcium currents, as well as action potentials, were recorded from NG108-15 cells with conventional whole-cell patch-clamp methods. Based on the classic Hodgkin-Huxley formalism and the linear thermodynamic description of the rate constants, ion-channel parameters were estimated using an automatic fitting method. Utilizing the established parameters, action potentials were generated in the model and were optimized to represent the actual recorded action potentials to establish baseline conditions. To demonstrate the applicability of the method for toxin detection and discrimination, the effect of tetrodotoxin (a sodium channel blocker) and tefluthrin (a pyrethroid that is a sodium channel opener) were studied. The two toxins affected the shape of the action potentials differently and their respective effects were identified based on the changes in the fitted parameters. Our results represent one of the first steps to establish a complex model of NG108-15 cells for quantitative toxin detection based on action potential shape analysis of the experimental results.

Indexed as

Action PotentialsAnimalsBiological AssayCell DifferentiationCell LineComputer SimulationDose-Response Relationship, DrugEnvironmental PollutantsMiceModels, NeurologicalNeuronsNeurotoxinsPatch-Clamp TechniquesRatsEnvironmental PollutantsNeurotoxins

Identifiers

PMID16460924
PMCPMC2970623

What OpenQuestion holds

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Registered trials

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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.