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Conference Paper: Synthetic Patterns: Sequential Establishment of Stripe Patterns in an Expanding Cell Population

TitleSynthetic Patterns: Sequential Establishment of Stripe Patterns in an Expanding Cell Population
Authors
Issue Date2013
Citation
IAS Workshop on Statistical Physics and Computational Neuroscience, The Hong Kong University of Science and Technology, Hong Kong, 2-14 July 2013 How to Cite?
AbstractSequential and periodic patterns are recurring anatomical features in living organisms. Their rhythmic dynamics and intriguing beauty have fascinated generations of scientists. However, the understanding of the underlying mechanisms is hindered by the overwhelming molecular complexities in most cases. Engineered synthetic systems can simplify the complexities and refine the theoretical assumptions, thereby providing insights into the principles of naturally occurring phenomena. Here we described a synthetic pattern formation system by simply coupling cell density and motility, which enabled the programmed cells to form crisp, periodic stripes of high- and low- densities in a sequential and autonomous manner. Theoretical and experimental analyses revealed that the periodic structure arises from a recurrent aggregation process generated during the continuous expansion of the cell population. In accordance with our model prediction, patterns with different numbers of stripes were generated by tuning the activity of a single promoter. The results establish motility control as a simple, potent route for generating regular spatial structures without the need of a pacemaker, and illustrate the utility of synthetic genetic systems in studying pattern formation in spatially extended systems.
Persistent Identifierhttp://hdl.handle.net/10722/298994

 

DC FieldValueLanguage
dc.contributor.authorLiu, C-
dc.contributor.authorFu, X-
dc.contributor.authorTang, L-
dc.contributor.authorLenz, P-
dc.contributor.authorHuang, W-
dc.contributor.authorHwa, T-
dc.contributor.authorHuang, J-
dc.date.accessioned2021-04-22T04:40:54Z-
dc.date.available2021-04-22T04:40:54Z-
dc.date.issued2013-
dc.identifier.citationIAS Workshop on Statistical Physics and Computational Neuroscience, The Hong Kong University of Science and Technology, Hong Kong, 2-14 July 2013-
dc.identifier.urihttp://hdl.handle.net/10722/298994-
dc.description.abstractSequential and periodic patterns are recurring anatomical features in living organisms. Their rhythmic dynamics and intriguing beauty have fascinated generations of scientists. However, the understanding of the underlying mechanisms is hindered by the overwhelming molecular complexities in most cases. Engineered synthetic systems can simplify the complexities and refine the theoretical assumptions, thereby providing insights into the principles of naturally occurring phenomena. Here we described a synthetic pattern formation system by simply coupling cell density and motility, which enabled the programmed cells to form crisp, periodic stripes of high- and low- densities in a sequential and autonomous manner. Theoretical and experimental analyses revealed that the periodic structure arises from a recurrent aggregation process generated during the continuous expansion of the cell population. In accordance with our model prediction, patterns with different numbers of stripes were generated by tuning the activity of a single promoter. The results establish motility control as a simple, potent route for generating regular spatial structures without the need of a pacemaker, and illustrate the utility of synthetic genetic systems in studying pattern formation in spatially extended systems.-
dc.languageeng-
dc.relation.ispartofIAS Workshop on Statistical Physics and Computational Neuroscience, The Hong Kong University of Science and Technology-
dc.titleSynthetic Patterns: Sequential Establishment of Stripe Patterns in an Expanding Cell Population-
dc.typeConference_Paper-
dc.identifier.emailLiu, C: chenli@hkucc.hku.hk-
dc.identifier.emailFu, X: fuxiongfei@gmail.com-
dc.identifier.emailHuang, W: huangwei@hku.hk-
dc.identifier.emailHuang, J: jdhuang@hku.hk-
dc.identifier.authorityHuang, W=rp01335-
dc.identifier.authorityHuang, J=rp00451-
dc.identifier.hkuros237886-
dc.publisher.placeHong Kong-

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