ReviewCurrent opinion in genetics & development2012
The importance of geometry in mathematical models of developing systems.
Review in Current opinion in genetics & development, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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.
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Who cites it
8 citing papers in PubMed.
- Of mitogens and morphogens: modelling Sonic Hedgehog mechanisms in vertebrate development.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020Review
- Pattern formation mechanisms of self-organizing reaction-diffusion systems.Developmental biology · 2020Review
- Article
- Quantitative diffusion measurements using the open-source software PyFRAP.Nature communications · 2018Article
- A Motor-Gradient and Clustering Model of the Centripetal Motility of MTOCs in Meiosis I of Mouse Oocytes.PLoS computational biology · 2016Article
- Tissue landscape alters adjacent cell fates during Drosophila egg development.Nature communications · 2015Article
- The role of mathematical models in understanding pattern formation in developmental biology.Bulletin of mathematical biology · 2015Article
- A gene expression atlas of a bicoid-depleted Drosophila embryo reveals early canalization of cell fate.Development (Cambridge, England) · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Understanding the interaction between the spatial variation of extracellular signals and the interpretation of such signals in embryonic development is difficult without a mathematical model, but the inherent limitations of a model can have a profound impact on its utility. A central issue is the level of abstraction needed, and here we focus on the role of geometry in models and how the choice of the spatial dimension can influence the conclusions reached. A widely studied system in which the proper choice of geometry is critical is embryonic development of Drosophila melanogaster, and we discuss recent work in which 3D embryo-scale modeling is used to identify key modes of transport, analyze gap gene expression, and test BMP-mediated positive feedback mechanisms.
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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.