The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
Spatial pattern formation in chemical and biological systems
Open accessAbstract
One of the central issues in developmental biology is the formation of spatial pattern in the embryo. A number of theories have been proposed to account for this phenomenon. The most widely studied is reaction diffusion theory, which proposes that a chemical pre-pattern is first set up due to a system of reacting and diffusing chemicals, and cells respond to this pre-pattern by differentiating accordingly. Such patterns, known as Turing structures, were first identified in chemical systems only recently. This article reviews the application of reaction diffusion theory to chemical systems and then considers a number of biological applications.
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Citations
Cites
Self-Organization in Nonequilibrium Systems
Nìcolis, G., & Prigogine, I. (1977) · Medical Entomology and Zoology · Cited by 5,356
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Concentration Wave Propagation in Two-dimensional Liquid-phase Self-oscillating System
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Experimental evidence of a sustained standing Turing-type nonequilibrium chemical pattern
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Cited by
Perspectives on the mathematics of biological patterning and morphogenesis
Garikipati, K. (2017) · Journal of the Mechanics and Physics of Solids · doi:10.1016/j.jmps.2016.11.013 · Cited by 28
Metadata
- Authors
- Maini, P. K., Painter, K. J., & Nguyen Phong Chau, H.
- Venue
- Journal of the Chemical Society, Faraday Transactions
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 1997
- Volume
- 93
- Issue
- 20
- Pages
- 3601-3610
- ISSN
- 0956-5000 (ISSN-L)
- 1364-5455
- OpenAlex
- W2139215311
- Cited by
- 334
- References
- 50
- FWCI
- 8.25
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Maini, P. K., Painter, K. J., & Nguyen Phong Chau, H. (1997). Spatial pattern formation in chemical and biological systems. Journal of the Chemical Society, Faraday Transactions. https://doi.org/10.1039/a702602a
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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