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Journal article
Curvature in Biological Systems: Its Quantification, Emergence, and Implications across the Scales
Advanced materials (Weinheim), Vol.35(13), e2206110
2023
PMID: 36461812
Abstract
Surface curvature both emerges from, and influences the behavior of, living objects at length scales ranging from cell membranes to single cells to tissues and organs. The relevance of surface curvature in biology is supported by numerous experimental and theoretical investigations in recent years. In this review, first, a brief introduction to the key ideas of surface curvature in the context of biological systems is given and the challenges that arise when measuring surface curvature are discussed. Giving an overview of the emergence of curvature in biological systems, its significance at different length scales becomes apparent. On the other hand, summarizing current findings also shows that both single cells and entire cell sheets, tissues or organisms respond to curvature by modulating their shape and their migration behavior. Finally, the interplay between the distribution of morphogens or micro-organisms and the emergence of curvature across length scales is addressed with examples demonstrating these key mechanistic principles of morphogenesis. Overall, this review highlights that curved interfaces are not merely a passive by-product of the chemical, biological, and mechanical processes but that curvature acts also as a signal that co-determines these processes.
Details
- Title
- Curvature in Biological Systems: Its Quantification, Emergence, and Implications across the Scales
- Authors/Creators
- Barbara Schamberger - University of SalzburgRicardo Ziege - Université de Haute-AlsaceKarine Anselme - Université de Strasbourg, F-67081, Strasbourg, FranceMartine Ben Amar - University of WarsawMichał Bykowski - University of LisbonAndré P G Castro - Université de Haute-AlsaceAmaia Cipitria - Cluster of Excellence "Matters of Activity. Image Space Material"Rhoslyn A Coles - Max Planck Institute of Colloids and InterfacesRumiana Dimova - Max Planck Institute of Colloids and InterfacesMichaela Eder - MSB Medical School BerlinSebastian Ehrig - Hospital Universitario Virgen del RocíoLuis M Escudero - University of PotsdamMyfanwy E Evans - University of LisbonPaulo R Fernandes - Max Planck Institute of Colloids and InterfacesPeter Fratzl - University of LiègeLiesbet Geris - BOKU UniversityNotburga Gierlinger - Institute of Science and Technology AustriaEdouard Hannezo - University of LjubljanaAleš Iglič - University of CopenhagenJacob J K Kirkensgaard - University of WürzburgPhilip Kollmannsberger - University of WarsawŁucja Kowalewska - Eindhoven University of TechnologyNicholas A Kurniawan - KU LeuvenIoannis Papantoniou - Université de Haute-AlsaceLaurent Pieuchot - University of LisbonTiago H V Pires - IDMEC, Instituto Superior Técnico, Universidade de Lisboa, 1049-001, Lisboa, PortugalLars D Renner - North Carolina State UniversityAndrew O Sageman-Furnas - Murdoch UniversityGerd E Schröder-Turk - Murdoch University, School of Mathematics, Statistics, Chemistry and PhysicsAnupam Sengupta - University of SalzburgVikas R Sharma - Hospital Universitario Virgen del RocíoAntonio Tagua - École Centrale de LyonCaterina Tomba - Barcelona Institute of Science and TechnologyXavier Trepat - University of OxfordSarah L Waters - University of OxfordEdwina F Yeo - University of SalzburgAndreas Roschger - Max Planck Institute of Colloids and InterfacesCécile M Bidan - Max Planck Institute of Colloids and InterfacesJohn W C Dunlop - University of Salzburg
- Publication Details
- Advanced materials (Weinheim), Vol.35(13), e2206110
- Publisher
- Wiley-VCH GmbH
- Grant note
- DP200102593 / Australian Research Council 851960 / European Research Council ANR-2018-CE13-0008 / French National Research Agency 2020.04417.BD / Fundação para a Ciência e Tecnologia Luxembourg National Research Fund PID2021-123013OB-I00 / Spanish Ministry of Science and Innovation 024.003.013 / Netherlands Organization for Scientific Research CI203/2-1 / Deutsche Forschungsgemeinschaft Emmy Noether UIDB/50022/2020 / Fundação para a Ciência e Tecnologia IKERBASQUE Basque Foundation for Science A17/MS/11572821/MBRACE / ATTRACT Investigator
- Identifiers
- 991005602261707891
- Copyright
- © 2023 The Authors.
- Murdoch Affiliation
- School of Mathematics, Statistics, Chemistry and Physics
- Language
- English
- Resource Type
- Journal article
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