Evidence map›Paper›PMID 39049492›Full record

ArticleBiophysical journal2025

Receptor binding and tortuosity explain morphogen local-to-global diffusion coefficient transition.

Shiwen Zhu, Yi Ting Loo, Sapthaswaran Veerapathiran, Tricia Y J Loo, Bich Ngoc Tran, Cathleen Teh, Jun Zhong, Paul Matsudaira, Timothy E Saunders, Thorsten Wohland

Abstract read
In one paragraph

Article in Biophysical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Locally fast, globally slow.Biophysical journal · 2025
    Article
  6. Developmental biophysics.Biophysical journal · 2025
    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

10 authors.

Shiwen ZhuNUS Centre for BioImaging Science, Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Yi Ting LooMathematics Institute, University of Warwick, Coventry, United Kingdom; Warwick Medical School, University of Warwick, Coventry, United Kingdom.
Sapthaswaran VeerapathiranNUS Centre for BioImaging Science, Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Tricia Y J LooWarwick Medical School, University of Warwick, Coventry, United Kingdom; Mechanobiology Institute, National University of Singapore, Singapore, Singapore.
Bich Ngoc TranNUS Centre for BioImaging Science, Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Cathleen TehNUS Centre for BioImaging Science, Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Jun ZhongNUS Centre for BioImaging Science, Department of Biological Sciences, National University of Singapore, Singapore, Singapore; Mechanobiology Institute, National University of Singapore, Singapore, Singapore.
Paul MatsudairaNUS Centre for BioImaging Science, Department of Biological Sciences, National University of Singapore, Singapore, Singapore.
Timothy E SaundersWarwick Medical School, University of Warwick, Coventry, United Kingdom; Mechanobiology Institute, National University of Singapore, Singapore, Singapore; Institute of Molecular and Cell Biology, A(∗)STAR, Singapore, Singapore. Electronic address: timothy.saunders@warwick.ac.uk.
Thorsten WohlandNUS Centre for BioImaging Science, Department of Biological Sciences, National University of Singapore, Singapore, Singapore; Department of Chemistry, National University of Singapore, Singapore, Singapore; Institute of Digital Molecular Analytics and Science, National University of Singapore, Singapore, Singapore. Electronic address: twohland@nus.edu.sg.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphogens are intercellular signaling molecules providing spatial information to cells in developing tissues to coordinate cell fate decisions. The spatial information is encoded within long-ranged concentration gradients of the morphogen. Direct measurement of morphogen dynamics in a range of systems suggests that local and global diffusion coefficients can differ by orders of magnitude. Further, local diffusivity can be large, which would potentially abolish any concentration gradient rapidly. Such observations have led to alternative transport models being proposed, including transcytosis and cytonemes. Here, we show that accounting for tissue architecture combined with receptor binding is sufficient to hinder the diffusive dynamics of morphogens, leading to an order of magnitude decrease in the effective diffusion coefficient from local to global scales. In particular, we built a realistic in silico architecture of the extracellular spaces of the zebrafish brain using light and electron microscopy data. Simulations on realistic architectures demonstrate that tortuosity and receptor binding within these spaces are sufficient to reproduce experimentally measured morphogen dynamics. Importantly, this work demonstrates that hindered diffusion is a viable mechanism for gradient formation, without requiring additional regulatory control.

Indexed as

Models, BiologicalReceptors, Cell SurfaceAnimalsBrainDiffusionExtracellular SpaceProtein BindingZebrafishReceptors, Cell Surface

Identifiers

PMID39049492
PMCPMC11947475

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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.