ArticleMathematical modelling of natural phenomena2009
The Intersection of Theory and Application in Elucidating Pattern Formation in Developmental Biology.
Article in Mathematical modelling of natural phenomena, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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.
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Who cites it
22 citing papers in PubMed, 76 citations in OpenAlex.
- Exploring potential of Turing pattern classification through convolution maps.Scientific reports · 2025Article
- Convective stability of the critical waves of an FKPP-type model for self-organized growth.Journal of mathematical biology · 2025Article
- Emergence of non-trivial solutions from trivial solutions in reaction-diffusion equations for pattern formation.Mathematical biosciences · 2024Article
- Traveling waves of an FKPP-type model for self-organized growth.Journal of mathematical biology · 2022Article
- Patterning, From Conifers to Consciousness: Turing's Theory and Order From Fluctuations.Frontiers in cell and developmental biology · 2022Review
- Bespoke Turing Systems.Bulletin of mathematical biology · 2021Article
- Article
- Cell-in-the-loop pattern formation with optogenetically emulated cell-to-cell signaling.Nature communications · 2020Article
- Spatial pattern formation in reaction-diffusion models: a computational approach.Journal of mathematical biology · 2020Article
- Connecting single-cell properties to collective behavior in multiple wild isolates of the Enterobacter cloacae complex.PloS one · 2019Article
- Modeling craniofacial development reveals spatiotemporal constraints on robust patterning of the mandibular arch.PLoS computational biology · 2018Article
- Improving Parameter Inference from FRAP Data: an Analysis Motivated by Pattern Formation in the Drosophila Wing Disc.Bulletin of mathematical biology · 2017Article
- Moment-flux models for bacterial chemotaxis in large signal gradients.Journal of mathematical biology · 2016Article
- The role of mathematical models in understanding pattern formation in developmental biology.Bulletin of mathematical biology · 2015Article
- Macroscopic equations for bacterial chemotaxis: integration of detailed biochemistry of cell signaling.Journal of mathematical biology · 2015Article
- Regenerative orthopaedics: in vitro, in vivo...in silico.International orthopaedics · 2014Review
- Predicting the spatiotemporal dynamics of hair follicle patterns in the developing mouse.Proceedings of the National Academy of Sciences of the United States of America · 2014Article
- Quantification of variability in trichome patterns.Frontiers in plant science · 2014Review
- Mechanisms of scaling in pattern formation.Development (Cambridge, England) · 2013Review
- Excitation and adaptation in bacteria-a model signal transduction system that controls taxis and spatial pattern formation.International journal of molecular sciences · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 2 countries.
Funding
Abstract
We discuss theoretical and experimental approaches to three distinct developmental systems that illustrate how theory can influence experimental work and vice-versa. The chosen systems - Drosophila melanogaster, bacterial pattern formation, and pigmentation patterns - illustrate the fundamental physical processes of signaling, growth and cell division, and cell movement involved in pattern formation and development. These systems exemplify the current state of theoretical and experimental understanding of how these processes produce the observed patterns, and illustrate how theoretical and experimental approaches can interact to lead to a better understanding of development. As John Bonner said long ago'We have arrived at the stage where models are useful to suggest experiments, and the facts of the experiments in turn lead to new and improved models that suggest new experiments. By this rocking back and forth between the reality of experimental facts and the dream world of hypotheses, we can move slowly toward a satisfactory solution of the major problems of developmental biology.'
Identifiers
What OpenQuestion holds
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.