Evidence map›Paper›PMID 31425510›Full record

ArticlePLoS computational biology2019

Simulation of calcium signaling in fine astrocytic processes: Effect of spatial properties on spontaneous activity.

Audrey Denizot, Misa Arizono, U Valentin Nägerl, Hédi Soula, Hugues Berry

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed
3.9field-weighted citation impact, top 5% of its field
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

43 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
  2. Review
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  4. Intracellular CaBiologia futura · 2025
    Review
  5. Modeling traveling calcium waves in cellular structures.Journal of computational neuroscience · 2025
    Article
  6. Article
  7. ACognitive neurodynamics · 2024
    Article
  8. Article
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  11. Control of astrocytic CaBiological research · 2024
    Article
  12. Review
  13. Article
  14. Article
  15. 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

5 authors at 3 institutions in 1 country.

Audrey DenizotINRIA, F-69603, Villeurbanne, France.ORCID 0000-0002-3336-0163
Misa ArizonoInterdisciplinary Institute for Neuroscience, Université de Bordeaux, Bordeaux, France.
U Valentin NägerlInterdisciplinary Institute for Neuroscience, Université de Bordeaux, Bordeaux, France.ORCID 0000-0001-6831-9008
Hédi SoulaINRIA, F-69603, Villeurbanne, France.
Hugues BerryINRIA, F-69603, Villeurbanne, France.ORCID 0000-0003-3470-683X
Centre National de la Recherche Scientifique · FRUniversité Claude Bernard Lyon 1 · FRInstitut national de recherche en sciences et technologies du numérique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Astrocytes, a glial cell type of the central nervous system, have emerged as detectors and regulators of neuronal information processing. Astrocyte excitability resides in transient variations of free cytosolic calcium concentration over a range of temporal and spatial scales, from sub-microdomains to waves propagating throughout the cell. Despite extensive experimental approaches, it is not clear how these signals are transmitted to and integrated within an astrocyte. The localization of the main molecular actors and the geometry of the system, including the spatial organization of calcium channels IP3R, are deemed essential. However, as most calcium signals occur in astrocytic ramifications that are too fine to be resolved by conventional light microscopy, most of those spatial data are unknown and computational modeling remains the only methodology to study this issue. Here, we propose an IP3R-mediated calcium signaling model for dynamics in such small sub-cellular volumes. To account for the expected stochasticity and low copy numbers, our model is both spatially explicit and particle-based. Extensive simulations show that spontaneous calcium signals arise in the model via the interplay between excitability and stochasticity. The model reproduces the main forms of calcium signals and indicates that their frequency crucially depends on the spatial organization of the IP3R channels. Importantly, we show that two processes expressing exactly the same calcium channels can display different types of calcium signals depending on the spatial organization of the channels. Our model with realistic process volume and calcium concentrations successfully reproduces spontaneous calcium signals that we measured in calcium micro-domains with confocal microscopy and predicts that local variations of calcium indicators might contribute to the diversity of calcium signals observed in astrocytes. To our knowledge, this model is the first model suited to investigate calcium dynamics in fine astrocytic processes and to propose plausible mechanisms responsible for their variability.

Indexed as

Models, NeurologicalAnimalsAstrocytesBrainCalcium SignalingComputational BiologyComputer SimulationHippocampusHumansInositol 1,4,5-Trisphosphate ReceptorsSpatio-Temporal AnalysisStochastic ProcessesInositol 1,4,5-Trisphosphate Receptors

Identifiers

PMID31425510
PMCPMC6726244
OpenAlexW2969937201

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LicenceCC BY
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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.