Evidence map›Paper›PMID 11023885›Full record

ArticleBiophysical journal2000

Modeling study of exocytosis in neuroendocrine cells: influence of the geometrical parameters.

J Segura, A Gil, B Soria

Abstract read
In one paragraph

Article in Biophysical journal, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. How does the stimulus define exocytosis in adrenal chromaffin cells?Pflugers Archiv : European journal of physiology · 2018
    Review
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  6. Article
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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.

J SeguraInstituto de Bioingeniería, Universidad Miguel Hernández, Alicante, Spain.
A Gil
B Soria

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Exocytosis in neuroendocrine cells is a process triggered by Ca(2+). A Monte Carlo simulation of secretion has been developed which, together with the diffusion of calcium, buffered by endogenous and/or exogenously added chelators, also accounts for the dynamics of exocytosis for a pool of readily releasable vesicles. Different distributions of channels and vesicles (random or correlated) are studied. A local study of exocytosis is carried out by obtaining capacitance time courses for the different types of release-ready vesicle pools (correlated or not with Ca(2+) channels). Also, depending upon the kinetic constants for the exocytotic process, we study the levels of local Ca(2+) needed to trigger secretion. Our simulations show that a strong heterogeneity in the calcium concentrations at the different sites of exocytosis is a requirement for reproducing the experimentally observed biphasic response in chromaffin cells in situ (Voets, T., E. Neher, and T. Moser. 1999. Neuron. 23:607-615). Correlated nonuniform distributions of channels and vesicles and the existence of diffusion barriers are shown to quantitatively explain the experimental data on chromaffin cells in situ. The first description requires a deeply heterogeneous distribution, with vesicles attached to the channels or far from them, but never at middle distances. The second description is able to reproduce biphasic release even for uniformly (readily releasable) distributed vesicles. We quantify the degree of inhomogeneity in the distribution of vesicles and how porous the diffusion barriers should be to account for the observed biphasic response.

Indexed as

Models, NeurologicalAnimalsBiophysical PhenomenaBiophysicsBuffersCalcium SignalingDiffusionExocytosisNeurosecretory SystemsBuffers

Identifiers

PMID11023885
PMCPMC1301071

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.