Evidence map›Paper›PMID 27101364›Full record

ArticleeLife2016

Extracellular interactions and ligand degradation shape the nodal morphogen gradient.

Yin Wang, Xi Wang, Thorsten Wohland, Karuna Sampath

Abstract read
In one paragraph

Article in eLife, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

  1. Article
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  8. Periodic pattern formation during embryonic development.Biochemical Society transactions · 2024
    Review
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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.

Yin WangDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Xi WangDepartment of Chemistry, Centre for Bioimaging Sciences, National University of Singapore, Singapore, Singapore.
Thorsten WohlandDepartment of Biological Sciences, National University of Singapore, Singapore, Singapore.
Karuna SampathDivision of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry, United Kingdom.ORCID 0000-0002-0729-1977

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The correct distribution and activity of secreted signaling proteins called morphogens is required for many developmental processes. Nodal morphogens play critical roles in embryonic axis formation in many organisms. Models proposed to generate the Nodal gradient include diffusivity, ligand processing, and a temporal activation window. But how the Nodal morphogen gradient forms in vivo remains unclear. Here, we have measured in vivo for the first time, the binding affinity of Nodal ligands to their major cell surface receptor, Acvr2b, and to the Nodal inhibitor, Lefty, by fluorescence cross-correlation spectroscopy. We examined the diffusion coefficient of Nodal ligands and Lefty inhibitors in live zebrafish embryos by fluorescence correlation spectroscopy. We also investigated the contribution of ligand degradation to the Nodal gradient. We show that ligand clearance via degradation shapes the Nodal gradient and correlates with its signaling range. By computational simulations of gradient formation, we demonstrate that diffusivity, extra-cellular interactions, and selective ligand destruction collectively shape the Nodal morphogen gradient.

Indexed as

MorphogenesisActivin Receptors, Type IIAnimalsLeft-Right Determination FactorsNodal Signaling LigandsProtein BindingProteolysisSpectrometry, FluorescenceZebrafishZebrafish ProteinsActivin Receptors, Type IIacvr2ba protein, zebrafishLeft-Right Determination FactorsNodal Signaling LigandsZebrafish Proteinsdevelopmental biologygradientinhibitormorphogenNodalreceptorstem cellszebrafish

Identifiers

PMID27101364
PMCPMC4887204

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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.