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A hierarchy of protein patterns robustly decodes cell shape information | Nature Physics

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Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript. Advertisement Nature Physics volume 17, pages 578–584 (2021)Cite this article 7224 Accesses 21 Citations 117 Altmetric Metrics details Many cellular processes, such as cell division1,2,3, cell motility4, wound healing5 and tissue folding6,7, rely on the precise positioning of proteins on the membrane. Such protein patterns emerge from a combination of protein interactions, transport, conformational state changes and chemical reactions at the molecular level8. Recent experimental and theoretical work clearly demonstrates the role of geometry, including membrane curvature9,10,11 and local cytosolic-to-membrane ratios12,13

Subjects Biological physics Biophysics Nonlinear phenomena Abstract Many cellular processes, such as cell division 1 , 2 , 3 , cell motility 4 , wound healing 5 and tissue folding 6 , 7 , rely on the precise positioning of proteins on the membrane. Such protein patterns emerge from a combination of protein interactions, transport, conformational state changes and chemical reactions at the molecular level 8 . Recent experimental and theoretical work clearly demonstrates the role of geometry, including membrane curvature 9 , 10 , 11 and local cytosolic-to-membrane ratios 12 , 13 , and advective

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