ReviewDevelopmental biology2020
Pattern formation mechanisms of self-organizing reaction-diffusion systems.
Review in Developmental biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.
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Who cites it
59 citing papers in PubMed.
- Color patterns as a model for connecting developmental mechanisms to phenotypic evolution.Nature communications · 2026Review
- A novel reaction-diffusion architecture for engineering self-organized patterns in mammalian cells.bioRxiv : the preprint server for biology · 2026Article
- Control of genes by self-organizing multicellular interaction networks.NPJ systems biology and applications · 2026Review
- Modeling of gene regulatory networks: an annotated glossary.Trends in plant science · 2026Review
- Emergent stable tissue shapes from the regulatory feedback between morphogens and cell growth.Journal of theoretical biology · 2026Article
- The Emergence of Turing Instability and Pattern Formation in a Nonlinear Stochastic Spatiotemporal Epidemic Model with Reinfections.Acta biotheoretica · 2026Article
- Spatial self-organization of cancer stem cell niches revealed by live single-cell imaging.Stem cell research & therapy · 2025Article
- Cellular patterns in Arabidopsis root epidermis emerge from gene regulatory network and diffusion dynamical feedback.NPJ systems biology and applications · 2025Article
- Synthetic Forms Most Beautiful: Engineering Insights into Self-Organization.Physiology (Bethesda, Md.) · 2025Review
- An ABA-ROP toggle switch orchestrates xylem differentiation and cell wall patterning.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Learning stochastic reaction-diffusion models from limited data using spatiotemporal features.bioRxiv : the preprint server for biology · 2025Article
- Membrane nanodomains to shape plant cellular functions and signaling.The New phytologist · 2025Review
- Understanding collective behavior in biological systems through potential field mechanisms.Scientific reports · 2025Article
- From spots to stripes: Evolution of pigmentation patterns in monkeyflowers via modulation of a reaction-diffusion system and its prepatterns.bioRxiv : the preprint server for biology · 2025Article
- Neural plate pre-patterning enables specification of intermediate neural progenitors in the spinal cord.bioRxiv : the preprint server for biology · 2025Article
- From genes to patterns: a framework for modeling the emergence of embryonic development from transcriptional regulation.Frontiers in cell and developmental biology · 2025Article
- Hydrocortisone treatment as a tool to study conjunctival placode induction.Developmental dynamics : an official publication of the American Association of Anatomists · 2025Article
- Mechanical induction in metazoan development and evolution: from earliest multi-cellular organisms to modern animal embryos.Nature communications · 2024Review
- Computational methods for biofabrication in tissue engineering and regenerative medicine - a literature review.Computational and structural biotechnology journal · 2024Review
- Dynamics of morphogen source formation in a growing tissue.PLoS computational biology · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Embryonic development is a largely self-organizing process, in which the adult body plan arises from a ball of cells with initially nearly equal potency. The reaction-diffusion theory first proposed by Alan Turing states that the initial symmetry in embryos can be broken by the interplay between two diffusible molecules, whose interactions lead to the formation of patterns. The reaction-diffusion theory provides a valuable framework for self-organized pattern formation, but it has been difficult to relate simple two-component models to real biological systems with multiple interacting molecular species. Recent studies have addressed this shortcoming and extended the reaction-diffusion theory to realistic multi-component networks. These efforts have challenged the generality of previous central tenets derived from the analysis of simplified systems and guide the way to a new understanding of self-organizing processes. Here, we discuss the challenges in modeling multi-component reaction-diffusion systems and how these have recently been addressed. We present a synthesis of new pattern formation mechanisms derived from these analyses, and we highlight the significance of reaction-diffusion principles for developmental and synthetic pattern formation.
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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.