ArticleeLife2016
A mathematical model explains saturating axon guidance responses to molecular gradients.
Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.
What it found
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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.
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.
Who cites it
8 citing papers in PubMed.
- Combinatorial nanodot stripe assay to systematically study cell haptotaxis.Microsystems & nanoengineering · 2020Article
- Reconstruction and Simulation of a Scaffold Model of the Cerebellar Network.Frontiers in neuroinformatics · 2019Article
- A stochastic framework to model axon interactions within growing neuronal populations.PLoS computational biology · 2018Article
- Numerical characterization of regenerative axons growing along a spherical multifunctional scaffold after spinal cord injury.PloS one · 2018Article
- Microfluidics of Small-Population Neurons Allows for a Precise Quantification of the Peripheral Axonal Growth State.Frontiers in cellular neuroscience · 2018Article
- Axon tension regulates fasciculation/defasciculation through the control of axon shaft zippering.eLife · 2017Article
- Compartmentalized Microfluidic Platforms: The Unrivaled Breakthrough of In Vitro Tools for Neurobiological Research.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2016Review
- A Mathematical Model of Regenerative Axon Growing along Glial Scar after Spinal Cord Injury.Computational and mathematical methods in medicine · 2016Article
Corrections and comments
- Retraction · 2018-04-12Error in Analyses · Error in Data · Error in Results and/or Conclusions · Unreliable Results and/or Conclusions ·
- Retracted
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Correct wiring is crucial for the proper functioning of the nervous system. Molecular gradients provide critical signals to guide growth cones, which are the motile tips of developing axons, to their targets. However, in vitro, growth cones trace highly stochastic trajectories, and exactly how molecular gradients bias their movement is unclear. Here, we introduce a mathematical model based on persistence, bias, and noise to describe this behaviour, constrained directly by measurements of the detailed statistics of growth cone movements in both attractive and repulsive gradients in a microfluidic device. This model provides a mathematical explanation for why average axon turning angles in gradients in vitro saturate very rapidly with time at relatively small values. This work introduces the most accurate predictive model of growth cone trajectories to date, and deepens our understanding of axon guidance events both in vitro and in vivo.
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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.