ArticleEvolutionary biology2015
Correlations Between the Morphology of Sonic Hedgehog Expression Domains and Embryonic Craniofacial Shape.
Article in Evolutionary biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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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.
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Who cites it
10 citing papers in PubMed.
- Quantifying the relationship between cell proliferation and morphology during development of the face.Development (Cambridge, England) · 2025Article
- Epithelial-mesenchymal crosstalk: the scriptwriter of craniofacial morphogenesis.Frontiers in cell and developmental biology · 2024Review
- Creating Avian Forebrain Chimeras to assess Facial Development.Journal of visualized experiments : JoVE · 2021Article
- Article
- The developmental-genetics of canalization.Seminars in cell & developmental biology · 2019Review
- Quantification of gene expression patterns to reveal the origins of abnormal morphogenesis.eLife · 2018Article
- Neural crest and the origin of species-specific pattern.Genesis (New York, N.Y. : 2000) · 2018Review
- Geometric Morphometrics on Gene Expression Patterns Within Phenotypes: A Case Example on Limb Development.Systematic biology · 2016Article
- Signals from the brain induce variation in avian facial shape.Developmental dynamics : an official publication of the American Association of Anatomists · 2015Article
- Morphometrics, 3D Imaging, and Craniofacial Development.Current topics in developmental biology · 2015Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Quantitative analysis of gene expression domains and investigation of relationships between gene expression and developmental and phenotypic outcomes are central to advancing our understanding of the genotype-phenotype map. Gene expression domains typically have smooth but irregular shapes lacking homologous landmarks, making it difficult to analyze shape variation with the tools of landmark-based geometric morphometrics. In addition, 3D image acquisition and processing introduce many artifacts that further exacerbate the problem. To overcome these difficulties, this paper presents a method that combines optical projection tomography scanning, a shape regularization technique and a landmark-free approach to quantify variation in the morphology of Sonic hedgehog expression domains in the frontonasal ectodermal zone (FEZ) of avians and investigate relationships with embryonic craniofacial shape. The model reveals axes in FEZ and embryonic-head morphospaces along which variation exhibits a sharp linear relationship at high statistical significance. The technique should be applicable to analyses of other 3D biological structures that can be modeled as smooth surfaces and have ill-defined shape.
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Registered trials
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