Evidence map›Paper›PMID 37249125›Full record

ArticleDevelopment (Cambridge, England)2023

The impact of cell size on morphogen gradient precision.

Jan A Adelmann, Roman Vetter, Dagmar Iber

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Position-dependent feedback drives scaling and robustness of morphogen gradients.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Review
  4. Dynamical systems of fate and form in development.Seminars in cell & developmental biology · 2025
    Review
  5. Article
  6. Article
  7. 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

3 authors.

Jan A AdelmannDepartment of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.ORCID 0000-0003-0876-3363
Roman VetterDepartment of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.ORCID 0000-0003-2901-7036
Dagmar IberDepartment of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.ORCID 0000-0001-8051-1035

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tissue patterning during embryonic development is remarkably precise. Here, we numerically determine the impact of the cell diameter, gradient length and the morphogen source on the variability of morphogen gradients. We show that the positional error increases with the gradient length relative to the size of the morphogen source, and with the square root of the cell diameter and the readout position. We provide theoretical explanations for these relationships, and show that they enable high patterning precision over developmental time for readouts that scale with expanding tissue domains, as observed in the Drosophila wing disc. Our analysis suggests that epithelial tissues generally achieve higher patterning precision with small cross-sectional cell areas. An extensive survey of measured apical cell areas shows that they are indeed small in developing tissues that are patterned by morphogen gradients. Enhanced precision may thus have led to the emergence of pseudostratification in epithelia, a phenomenon for which the evolutionary benefit had so far remained elusive.

Indexed as

DrosophilaDrosophila ProteinsAnimalsBody PatterningCell SizeCross-Sectional StudiesDrosophila melanogasterEmbryonic DevelopmentGene Expression Regulation, DevelopmentalModels, BiologicalDrosophila ProteinsCell sizeDevelopmentMorphogen gradientPatterningPrecision

Identifiers

PMID37249125
PMCPMC10281552

What OpenQuestion holds

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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.