ArticlePloS one2011
Analysis of gap gene regulation in a 3D organism-scale model of the Drosophila melanogaster embryo.
Article in PloS one, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Dynamic Modeling of Transcriptional Gene Regulatory Networks.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Article
- Evaluation of BMP-mediated patterning in a 3D mathematical model of the zebrafish blastula embryo.Journal of mathematical biology · 2020Article
- Classification-Based Inference of Dynamical Models of Gene Regulatory Networks.G3 (Bethesda, Md.) · 2019Article
- Emergence of form in embryogenesis.Journal of the Royal Society, Interface · 2018Article
- A gene expression atlas of a bicoid-depleted Drosophila embryo reveals early canalization of cell fate.Development (Cambridge, England) · 2015Article
- Making models match measurements: model optimization for morphogen patterning networks.Seminars in cell & developmental biology · 2014Review
- Mechanisms of scaling in pattern formation.Development (Cambridge, England) · 2013Review
- The importance of geometry in mathematical models of developing systems.Current opinion in genetics & development · 2012Review
- The synthesis-diffusion-degradation model explains Bicoid gradient formation in unfertilized eggs.Physical biology · 2012Article
- BMP signaling in wing development: A critical perspective on quantitative image analysis.FEBS letters · 2012Review
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
The axial bodyplan of Drosophila melanogaster is determined during a process called morphogenesis. Shortly after fertilization, maternal bicoid mRNA is translated into Bicoid (Bcd). This protein establishes a spatially graded morphogen distribution along the anterior-posterior (AP) axis of the embryo. Bcd initiates AP axis determination by triggering expression of gap genes that subsequently regulate each other's expression to form a precisely controlled spatial distribution of gene products. Reaction-diffusion models of gap gene expression on a 1D domain have previously been used to infer complex genetic regulatory network (GRN) interactions by optimizing model parameters with respect to 1D gap gene expression data. Here we construct a finite element reaction-diffusion model with a realistic 3D geometry fit to full 3D gap gene expression data. Though gap gene products exhibit dorsal-ventral asymmetries, we discover that previously inferred gap GRNs yield qualitatively correct AP distributions on the 3D domain only when DV-symmetric initial conditions are employed. Model patterning loses qualitative agreement with experimental data when we incorporate a realistic DV-asymmetric distribution of Bcd. Further, we find that geometry alone is insufficient to account for DV-asymmetries in the final gap gene distribution. Additional GRN optimization confirms that the 3D model remains sensitive to GRN parameter perturbations. Finally, we find that incorporation of 3D data in simulation and optimization does not constrain the search space or improve optimization results.
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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.