ArticleeLife2018
Quantification of gene expression patterns to reveal the origins of abnormal morphogenesis.
Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03025763 (Craniosynostosis Network), which is not on this map. Cited by 8 papers.
What it found
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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.
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.
Craniosynostosis Network
Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Quantifying the relationship between cell proliferation and morphology during development of the face.Development (Cambridge, England) · 2025Article
- Mouse Cardiovascular Imaging.Current protocols · 2024Review
- The discovery, function, and regulation of epithelial splicing regulatory proteins (ESRP) 1 and 2.Biochemical Society transactions · 2023Article
- 4D reconstruction of murine developmental trajectories using spherical harmonics.Developmental cell · 2022Article
- A diffusion MRI-based spatiotemporal continuum of the embryonic mouse brain for probing gene-neuroanatomy connections.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Label-free optical imaging in developmental biology [Invited].Biomedical optics express · 2020Review
- The developmental-genetics of canalization.Seminars in cell & developmental biology · 2019Review
- It's about Time: Ossification Center Formation in C57BL/6 Mice from E12⁻E16.Journal of developmental biology · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 5 institutions in 2 countries.
Funding
Abstract
The earliest developmental origins of dysmorphologies are poorly understood in many congenital diseases. They often remain elusive because the first signs of genetic misregulation may initiate as subtle changes in gene expression, which are hard to detect and can be obscured later in development by secondary effects. Here, we develop a method to trace back the origins of phenotypic abnormalities by accurately quantifying the 3D spatial distribution of gene expression domains in developing organs. By applying Geometric Morphometrics to 3D gene expression data obtained by Optical Projection Tomography, we determined that our approach is sensitive enough to find regulatory abnormalities that have never been detected previously. We identified subtle but significant differences in the gene expression of a downstream target of a
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Registered trials
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.