Evidence map›Paper›PMID 23966845›Full record

ArticlePLoS computational biology2013

Simulating cortical development as a self constructing process: a novel multi-scale approach combining molecular and physical aspects.

Frederic Zubler, Andreas Hauri, Sabina Pfister, Roman Bauer, John C Anderson, Adrian M Whatley, Rodney J Douglas

Erratum issuedAbstract read
In one paragraph

Article in PLoS computational biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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  14. Context-aware modeling of neuronal morphologies.Frontiers in neuroanatomy · 2014
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Frederic ZublerInstitute of Neuroinformatics, University of Zürich/Swiss Federal Institute of Technology Zürich, Switzerland. fred@ini.phys.ethz.ch
Andreas Hauri
Sabina Pfister
Roman Bauer
John C Anderson
Adrian M Whatley
Rodney J Douglas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current models of embryological development focus on intracellular processes such as gene expression and protein networks, rather than on the complex relationship between subcellular processes and the collective cellular organization these processes support. We have explored this collective behavior in the context of neocortical development, by modeling the expansion of a small number of progenitor cells into a laminated cortex with layer and cell type specific projections. The developmental process is steered by a formal language analogous to genomic instructions, and takes place in a physically realistic three-dimensional environment. A common genome inserted into individual cells control their individual behaviors, and thereby gives rise to collective developmental sequences in a biologically plausible manner. The simulation begins with a single progenitor cell containing the artificial genome. This progenitor then gives rise through a lineage of offspring to distinct populations of neuronal precursors that migrate to form the cortical laminae. The precursors differentiate by extending dendrites and axons, which reproduce the experimentally determined branching patterns of a number of different neuronal cell types observed in the cat visual cortex. This result is the first comprehensive demonstration of the principles of self-construction whereby the cortical architecture develops. In addition, our model makes several testable predictions concerning cell migration and branching mechanisms.

Indexed as

Models, NeurologicalAnimalsAxonsCatsCell MovementCell ShapeComputational BiologyComputer SimulationDendritesGene Regulatory NetworksNeurogenesisVisual Cortex

Identifiers

PMID23966845
PMCPMC3744399

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.