ArticleScientific reports2016
The interplay between genetic and bioelectrical signaling permits a spatial regionalisation of membrane potentials in model multicellular ensembles.
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 24 papers.
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Who cites it
24 citing papers in PubMed, 77 citations in OpenAlex.
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- Multicellular adaptation to electrophysiological perturbations analyzed by deterministic and stochastic bioelectrical models.Scientific reports · 2024Article
- Information integration during bioelectric regulation of morphogenesis of the embryonic frog brain.iScience · 2023Article
- Biophysical control of plasticity and patterning in regeneration and cancer.Cellular and molecular life sciences : CMLS · 2023Review
- Improving Functional Abilities in Children and Adolescents with Autism Spectrum Disorder Using Non-Invasive REAC Neuro Psycho Physical Optimization Treatments: A PEDI-CAT Study.Journal of personalized medicine · 2023Article
- A computational model of organism development and carcinogenesis resulting from cells' bioelectric properties and communication.Scientific reports · 2022Article
- Modulating OPG and TGF-β1 mRNA expression via bioelectrical stimulation.Bone reports · 2021Article
- Cell Systems Bioelectricity: How Different Intercellular Gap Junctions Could Regionalize a Multicellular Aggregate.Cancers · 2021Article
- A bioelectric model of carcinogenesis, including propagation of cell membrane depolarization and reversal therapies.Scientific reports · 2021Article
- Bioelectric signaling as a unique regulator of development and regeneration.Development (Cambridge, England) · 2021Review
- Measuring Absolute Membrane Potential Across Space and Time.Annual review of biophysics · 2021Review
- Dual Bioelectrical Assessment of Human Mesenchymal Stem Cells Using Plasma and Mitochondrial Membrane Potentiometric Probes.Bioelectricity · 2020Article
- HCN2 Channel-Induced Rescue of Brain TeratogenesisFrontiers in cellular neuroscience · 2020Article
- Regenerative Adaptation to Electrochemical Perturbation in Planaria: A Molecular Analysis of Physiological Plasticity.iScience · 2019Article
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- Planarian regeneration as a model of anatomical homeostasis: Recent progress in biophysical and computational approaches.Seminars in cell & developmental biology · 2019Review
- EDEn-Electroceutical Design Environment: Ion Channel Tissue Expression Database with Small Molecule Modulators.iScience · 2019Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The single cell-centred approach emphasises ion channels as specific proteins that determine individual properties, disregarding their contribution to multicellular outcomes. We simulate the interplay between genetic and bioelectrical signals in non-excitable cells from the local single-cell level to the long range multicellular ensemble. The single-cell genetic regulation is based on mean-field kinetic equations involving the mRNA and protein concentrations. The transcription rate factor is assumed to depend on the absolute value of the cell potential, which is dictated by the voltage-gated cell ion channels and the intercellular gap junctions. The interplay between genetic and electrical signals may allow translating single-cell states into multicellular states which provide spatio-temporal information. The model results have clear implications for biological processes: (i) bioelectric signals can override slightly different genetic pre-patterns; (ii) ensembles of cells initially at the same potential can undergo an electrical regionalisation because of persistent genetic differences between adjacent spatial regions; and (iii) shifts in the normal cell electrical balance could trigger significant changes in the genetic regulation.
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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.