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The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Differential Diffusivity of Nodal and Lefty Underlies a Reaction-Diffusion Patterning System

Open access
Müller, Patrick, Rogers, Katherine W., Jordan, Ben M., Lee, Joon S., Robson, Drew, Ramanathan, Sharad, Schier, Alexander F.·2012·Science

Abstract

Reaction-Diffusion Patterning: Six decades ago, Alan Turing proposed the reaction-diffusion model to explain how complex patterns emerge during morphogenesis. In this model, an activator activates both itself and an inhibitor (the “reaction”), with the activator being less mobile than the inhibitor (“diffusion”). Many activator/inhibitor pairs have been described, but the role of differential mobility versus differential clearance of activators and inhibitors is often unclear. Now, Müller et al. (p. 721 , published online 12 April) show that during zebrafish embryogenesis, the activator Nodal has lower diffusivity than the inhibitor Lefty, while both molecules are cleared at similar rates, which supports the idea that Nodal and Lefty form a classical reaction-diffusion system.

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Crossref · 10.1126/science.1221920

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Metadata

Authors
Müller, P., Rogers, K. W., Jordan, B. M., Lee, J. S., Robson, D., Ramanathan, S., & Schier, A. F.
Venue
Science
Published
2012-05-11
Volume
336
Issue
6082
Pages
721-724
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2127071442
Cited by
381
References
5
FWCI
11.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Differential Diffusivity of Nodal and Lefty Underlies a Reaction-Diffusion Patterning System. https://app.cochat.ai/papers/10.1126/science.1221920
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Müller, P., Rogers, K. W., Jordan, B. M., Lee, J. S., Robson, D., Ramanathan, S., & Schier, A. F. (2012). Differential Diffusivity of Nodal and Lefty Underlies a Reaction-Diffusion Patterning System. Science. https://doi.org/10.1126/science.1221920

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.