Evidence map›Paper›PMID 29927943›Full record

ArticlePLoS computational biology2018

Control of neurite growth and guidance by an inhibitory cell-body signal.

Brendan A Bicknell, Zac Pujic, Peter Dayan, Geoffrey J Goodhill

Abstract read
In one paragraph

Article in PLoS computational biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. BCNNM: A Framework forFrontiers in computational neuroscience · 2020
    Article
  6. Review
  7. 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

4 authors.

Brendan A BicknellQueensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0002-2307-2109
Zac PujicQueensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia.
Peter DayanGatsby Computational Neuroscience Unit, University College London, London, United Kingdom.ORCID 0000-0003-3476-1839
Geoffrey J GoodhillQueensland Brain Institute, University of Queensland, St Lucia, Queensland, Australia.ORCID 0000-0001-9789-9355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of a functional nervous system requires tight control of neurite growth and guidance by extracellular chemical cues. Neurite growth is astonishingly sensitive to shallow concentration gradients, but a widely observed feature of both growth and guidance regulation, with important consequences for development and regeneration, is that both are only elicited over the same relatively narrow range of concentrations. Here we show that all these phenomena can be explained within one theoretical framework. We first test long-standing explanations for the suppression of the trophic effects of nerve growth factor at high concentrations, and find they are contradicted by experiment. Instead we propose a new hypothesis involving inhibitory signalling among the cell bodies, and then extend this hypothesis to show how both growth and guidance can be understood in terms of a common underlying signalling mechanism. This new model for the first time unifies several key features of neurite growth regulation, quantitatively explains many aspects of experimental data, and makes new predictions about unknown details of developmental signalling.

Indexed as

Models, BiologicalComputational BiologyNeuritesNeurogenesisNeuronsSignal Transduction

Identifiers

PMID29927943
PMCPMC6013027

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.