Evidence map›Paper›PMID 26841954›Full record

ArticleScientific reports2016

Bioelectrical Signals and Ion Channels in the Modeling of Multicellular Patterns and Cancer Biophysics.

Javier Cervera, Antonio Alcaraz, Salvador Mafe

Abstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Review
  2. Review
  3. Biophysical control of plasticity and patterning in regeneration and cancer.Cellular and molecular life sciences : CMLS · 2023
    Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
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  11. Article
  12. Role of Bioelectricity During Cell Proliferation in Different Cell Types.Frontiers in bioengineering and biotechnology · 2020
    Article
  13. HCN2 Channel-Induced Rescue of Brain TeratogenesisFrontiers in cellular neuroscience · 2020
    Article
  14. Article
  15. Review
  16. Article
  17. Article
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  19. Review
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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.

Javier CerveraDept. de Termodinàmica, Facultat de Física, Universitat de València, E-46100 Burjassot, Spain.
Antonio AlcarazDept. de Física, Laboratori de Biofísica Molecular, Universitat "Jaume I", E-12080 Castelló, Spain.
Salvador MafeDept. de Termodinàmica, Facultat de Física, Universitat de València, E-46100 Burjassot, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical signals and ion channels are central to spatial patterns in cell ensembles, a problem of fundamental interest in positional information and cancer processes. We propose a model for electrically connected cells based on simple biological concepts: i) the membrane potential of a single cell characterizes its electrical state; ii) the long-range electrical coupling of the multicellular ensemble is realized by a network of gap junction channels between neighboring cells; and iii) the spatial distribution of an external biochemical agent can modify the conductances of the ion channels in a cell membrane and the multicellular electrical state. We focus on electrical effects in small multicellular ensembles, ignoring slow diffusional processes. The spatio-temporal patterns obtained for the local map of cell electric potentials illustrate the normalization of regions with abnormal cell electrical states. The effects of intercellular coupling and blocking of specific channels on the electrical patterns are described. These patterns can regulate the electrically-induced redistribution of charged nanoparticles over small regions of a model tissue. The inclusion of bioelectrical signals provides new insights for the modeling of cancer biophysics because collective multicellular states show electrical coupling mechanisms that are not readily deduced from biochemical descriptions at the individual cell level.

Indexed as

Models, BiologicalBiophysical PhenomenaCell CommunicationElectrophysiological PhenomenaGap JunctionsHumansIon ChannelsMembrane PotentialsNeoplasmsIon Channels

Identifiers

PMID26841954
PMCPMC4740742

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.