Evidence map›Paper›PMID 21468017›Full record

ArticleNature communications2011

Neural crest cells organize the eye via TGF-β and canonical Wnt signalling.

Timothy Grocott, Samuel Johnson, Andrew P Bailey, Andrea Streit

Open access · hybridAbstract read
In one paragraph

Article in Nature communications, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
2.8field-weighted citation impact, top 9% of its field
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

40 citing papers in PubMed, 86 citations in OpenAlex.

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  11. TheDevelopment (Cambridge, England) · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. The Ocular Neural Crest: Specification, Migration, and Then What?Frontiers in cell and developmental biology · 2020
    Review
  16. Review
  17. Neural crest and the origin of species-specific pattern.Genesis (New York, N.Y. : 2000) · 2018
    Review
  18. Article
  19. Review
  20. 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 at 1 institution in 1 country.

Timothy GrocottDepartment of Craniofacial Development, King's College London, Guy's Campus, London SE1 9RT, UK.
Samuel Johnson
Andrew P Bailey
Andrea Streit
King's College London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/D010659/1Biotechnology and Biological Sciences Research Council D010659Wellcome Trust 081531
6 · The paper itself

Abstract

In vertebrates, the lens and retina arise from different embryonic tissues raising the question of how they are aligned to form a functional eye. Neural crest cells are crucial for this process: in their absence, ectopic lenses develop far from the retina. Here we show, using the chick as a model system, that neural crest-derived transforming growth factor-βs activate both Smad3 and canonical Wnt signalling in the adjacent ectoderm to position the lens next to the retina. They do so by controlling Pax6 activity: although Smad3 may inhibit Pax6 protein function, its sustained downregulation requires transcriptional repression by Wnt-initiated β-catenin. We propose that the same neural crest-dependent signalling mechanism is used repeatedly to integrate different components of the eye and suggest a general role for the neural crest in coordinating central and peripheral parts of the sensory nervous system.

Indexed as

Signal TransductionAnimalsChick EmbryoChickensEyeLens, CrystallineModels, BiologicalNeural CrestSmad3 ProteinTGF-beta Superfamily ProteinsTransforming Growth Factor betaWnt2 ProteinSmad3 ProteinTGF-beta Superfamily ProteinsTransforming Growth Factor betaWnt2 Protein

Identifiers

PMID21468017
PMCPMC3104559
OpenAlexW1978140823

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.