Evidence map›Paper›PMID 21496342›Full record

ArticleBMC systems biology2011

Theoretical basis of the community effect in development.

Yasushi Saka, Cédric Lhoussaine, Celine Kuttler, Ekkehard Ullner, Marco Thiel

Abstract read
In one paragraph

Article in BMC systems biology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Plant behaviour in response to the environment: information processing in the solid state.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  6. Modeling Mammalian Gastrulation With Embryonic Stem Cells.Current topics in developmental biology · 2018
    Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Collective decision-making in microbes.Frontiers in microbiology · 2014
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

5 authors.

Yasushi SakaInstitute of Medical Sciences, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK. y.saka@abdn.ac.uk
Cédric Lhoussaine
Celine Kuttler
Ekkehard Ullner
Marco Thiel

Funding

Biotechnology and Biological Sciences Research Council BB/F00513X/1
6 · The paper itself

Abstract

backgroundGenetically identical cells often show significant variation in gene expression profile and behaviour even in the same physiological condition. Notably, embryonic cells destined to the same tissue maintain a uniform transcriptional regulatory state and form a homogeneous cell group. One mechanism to keep the homogeneity within embryonic tissues is the so-called community effect in animal development. The community effect is an interaction among a group of many nearby precursor cells, and is necessary for them to maintain tissue-specific gene expression and differentiate in a coordinated manner. Although it has been shown that the cell-cell communication by a diffusible factor plays a crucial role, it is not immediately obvious why a community effect needs many cells.

resultsIn this work, we propose a model of the community effect in development, which consists in a linear gene cascade and cell-cell communication. We examined the properties of the model theoretically using a combination of stochastic and deterministic modelling methods. We have derived the analytical formula for the threshold size of a cell population that is necessary for a community effect, which is in good agreement with stochastic simulation results.

conclusionsOur theoretical analysis indicates that a simple model with a linear gene cascade and cell-cell communication is sufficient to reproduce the community effect in development. The model explains why a community needs many cells. It suggests that the community's long-term behaviour is independent of the initial induction level, although the initiation of a community effect requires a sufficient amount of inducing signal. The mechanism of the community effect revealed by our theoretical analysis is analogous to that of quorum sensing in bacteria. The community effect may underlie the size control in animal development and also the genesis of autosomal dominant diseases including tumorigenesis.

Indexed as

Gene Expression Regulation, DevelopmentalAnimalsCell CommunicationComputer SimulationDiffusionFibroblast Growth Factor 4Gene Expression ProfilingGene Expression Regulation, NeoplasticHumansModels, BiologicalModels, StatisticalModels, TheoreticalStochastic ProcessesSystems BiologyXenopusFGF4 protein, humanFibroblast Growth Factor 4

Identifiers

PMID21496342
PMCPMC3105943

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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.