A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis

In development and disease, cells move as they exchange signals. One example is found in vertebrate development, during which the timing of segment formation is set by a ‘segmentation clock’, in which oscillating gene expression is synchronized across a population of cells by Delta-Notch signaling....

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Autores principales:	Uriu, K., Bhavna, R., Oates, A.C., Morelli, L.G.
Formato:	JOUR
Materias:	Cell mixing Coupled oscillators Imaging synchronization Somitogenesis Zebrafish
Acceso en línea:	http://hdl.handle.net/20.500.12110/paper_20466390_v6_n8_p1235_Uriu
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	todo:paper_20466390_v6_n8_p1235_Uriu
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spelling	todo:paper_20466390_v6_n8_p1235_Uriu2023-10-03T16:38:41Z A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis Uriu, K. Bhavna, R. Oates, A.C. Morelli, L.G. Cell mixing Coupled oscillators Imaging synchronization Somitogenesis Zebrafish In development and disease, cells move as they exchange signals. One example is found in vertebrate development, during which the timing of segment formation is set by a ‘segmentation clock’, in which oscillating gene expression is synchronized across a population of cells by Delta-Notch signaling. Delta-Notch signaling requires local cell-cell contact, but in the zebrafish embryonic tailbud, oscillating cells move rapidly, exchanging neighbors. Previous theoretical studies proposed that this relative movement or cell mixing might alter signaling and thereby enhance synchronization. However, it remains unclear whether the mixing timescale in the tissue is in the right range for this effect, because a framework to reliably measure the mixing timescale and compare it with signaling timescale is lacking. Here, we develop such a framework using a quantitative description of cell mixing without the need for an external reference frame and constructing a physical model of cell movement based on the data. Numerical simulations show that mixing with experimentally observed statistics enhances synchronization of coupled phase oscillators, suggesting that mixing in the tailbud is fast enough to affect the coherence of rhythmic gene expression. Our approach will find general application in analyzing the relative movements of communicating cells during development and disease. © 2017, Company of Biologists Ltd. All rights reserved. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_20466390_v6_n8_p1235_Uriu
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Cell mixing Coupled oscillators Imaging synchronization Somitogenesis Zebrafish
spellingShingle	Cell mixing Coupled oscillators Imaging synchronization Somitogenesis Zebrafish Uriu, K. Bhavna, R. Oates, A.C. Morelli, L.G. A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
topic_facet	Cell mixing Coupled oscillators Imaging synchronization Somitogenesis Zebrafish
description	In development and disease, cells move as they exchange signals. One example is found in vertebrate development, during which the timing of segment formation is set by a ‘segmentation clock’, in which oscillating gene expression is synchronized across a population of cells by Delta-Notch signaling. Delta-Notch signaling requires local cell-cell contact, but in the zebrafish embryonic tailbud, oscillating cells move rapidly, exchanging neighbors. Previous theoretical studies proposed that this relative movement or cell mixing might alter signaling and thereby enhance synchronization. However, it remains unclear whether the mixing timescale in the tissue is in the right range for this effect, because a framework to reliably measure the mixing timescale and compare it with signaling timescale is lacking. Here, we develop such a framework using a quantitative description of cell mixing without the need for an external reference frame and constructing a physical model of cell movement based on the data. Numerical simulations show that mixing with experimentally observed statistics enhances synchronization of coupled phase oscillators, suggesting that mixing in the tailbud is fast enough to affect the coherence of rhythmic gene expression. Our approach will find general application in analyzing the relative movements of communicating cells during development and disease. © 2017, Company of Biologists Ltd. All rights reserved.
format	JOUR
author	Uriu, K. Bhavna, R. Oates, A.C. Morelli, L.G.
author_facet	Uriu, K. Bhavna, R. Oates, A.C. Morelli, L.G.
author_sort	Uriu, K.
title	A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
title_short	A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
title_full	A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
title_fullStr	A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
title_full_unstemmed	A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
title_sort	framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
url	http://hdl.handle.net/20.500.12110/paper_20466390_v6_n8_p1235_Uriu
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A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis

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