Evidence map›Paper›PMID 30932076›Full record

ArticleScientific reports2019

Scale invariance of BMP signaling gradients in zebrafish.

Yan Huang, David M Umulis

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. 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
  2. Article
  3. Article
  4. Morphogens in the evolution of size, shape and patterning.Development (Cambridge, England) · 2024
    Review
  5. The nested embryonic dorsal domains of BMP-target genes are not scaled to size during the evolution of Drosophila species.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2023
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. 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

2 authors.

Yan HuangAgricultural and Biological Engineering, Purdue University, West Lafayette, IN, 47907, USA.
David M UmulisAgricultural and Biological Engineering, Purdue University, West Lafayette, IN, 47907, USA. dumulis@purdue.edu.

Funding

Systems Analysis of BMP Regulation in Developing Zebrafish EmbryosR01HD073156 · NICHD · PURDUE UNIVERSITY · PI UMULIS, DAVID MICHAEL · 2013 to 2017
$1.5M
Modeling and analysis of BMP-mediated Dorsal/Ventral patterning in zebrafish embryosR01GM132501 · NIGMS · PURDUE UNIVERSITY · PI UMULIS, DAVID MICHAEL · 2019 to 2022
$1.4M
NICHD NIH HHS R01 HD073156NIGMS NIH HHS R01 GM132501
6 · The paper itself

Abstract

In both vertebrates and invertebrates, spatial patterning along the Dorsal-ventral (DV) embryonic axis depends on a morphogen gradient of Bone Morphogenetic Protein signaling. Scale invariance of DV patterning by BMPs has been found in both vertebrates and invertebrates, however the mechanisms that regulate gradient scaling remain controversial. To obtain quantitative data that can be used to address core questions of scaling, we introduce a method to tune the size of zebrafish embryos by reducing varying amounts of vegetal yolk. We quantified the BMP signaling gradient in wild-type and perturbed embryos and found that the system scales for reductions in cross-sectional perimeter of up to 30%. Furthermore, we found that the degree of scaling for intraspecies scaling within zebrafish is greater than that between Danioninae species.

Indexed as

AnimalsBody PatterningBone Morphogenetic ProteinsEmbryo, NonmammalianMorphogenesisSignal TransductionZebrafishZebrafish ProteinsBone Morphogenetic ProteinsZebrafish Proteins

Identifiers

PMID30932076
PMCPMC6443670

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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.