A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis
- Autores
- Uriu, Koichiro; Bhavna, Rajasekaran; Oates, Andrew C.; Morelli, Luis Guillermo
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Uriu, Koichiro. Kanazawa University; Japón
Fil: Bhavna, Rajasekaran. Max Planck Institute of Molecular Cell Biology and Genetics; Alemania. Max Planck Institute for the Physics of Complex Systems; Alemania
Fil: Oates, Andrew C.. Francis Crick Institute; Reino Unido. University College London; Reino Unido
Fil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación en Biomedicina de Buenos Aires - Instituto Partner de la Sociedad Max Planck; Argentina. Max Planck Institute for Molecular Physiology; Alemania. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina - Materia
-
CELL MIXING
COUPLED OSCILLATORS
IMAGING SYNCHRONIZATION
SOMITOGENESIS
ZEBRAFISH - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/49814
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A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesisUriu, KoichiroBhavna, RajasekaranOates, Andrew C.Morelli, Luis GuillermoCELL MIXINGCOUPLED OSCILLATORSIMAGING SYNCHRONIZATIONSOMITOGENESISZEBRAFISHhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In 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.Fil: Uriu, Koichiro. Kanazawa University; JapónFil: Bhavna, Rajasekaran. Max Planck Institute of Molecular Cell Biology and Genetics; Alemania. Max Planck Institute for the Physics of Complex Systems; AlemaniaFil: Oates, Andrew C.. Francis Crick Institute; Reino Unido. University College London; Reino UnidoFil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación en Biomedicina de Buenos Aires - Instituto Partner de la Sociedad Max Planck; Argentina. Max Planck Institute for Molecular Physiology; Alemania. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; ArgentinaCompany of Biologists2017-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/49814Uriu, Koichiro; Bhavna, Rajasekaran; Oates, Andrew C.; Morelli, Luis Guillermo; A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis; Company of Biologists; Biology Open; 6; 8; 8-2017; 1235-12442046-6390CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://bio.biologists.org/content/6/8/1235info:eu-repo/semantics/altIdentifier/doi/10.1242/bio.025148info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:44:01Zoai:ri.conicet.gov.ar:11336/49814instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:44:01.33CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis |
title |
A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis |
spellingShingle |
A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis Uriu, Koichiro CELL MIXING COUPLED OSCILLATORS IMAGING SYNCHRONIZATION SOMITOGENESIS ZEBRAFISH |
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 |
A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis |
dc.creator.none.fl_str_mv |
Uriu, Koichiro Bhavna, Rajasekaran Oates, Andrew C. Morelli, Luis Guillermo |
author |
Uriu, Koichiro |
author_facet |
Uriu, Koichiro Bhavna, Rajasekaran Oates, Andrew C. Morelli, Luis Guillermo |
author_role |
author |
author2 |
Bhavna, Rajasekaran Oates, Andrew C. Morelli, Luis Guillermo |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
CELL MIXING COUPLED OSCILLATORS IMAGING SYNCHRONIZATION SOMITOGENESIS ZEBRAFISH |
topic |
CELL MIXING COUPLED OSCILLATORS IMAGING SYNCHRONIZATION SOMITOGENESIS ZEBRAFISH |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
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. Fil: Uriu, Koichiro. Kanazawa University; Japón Fil: Bhavna, Rajasekaran. Max Planck Institute of Molecular Cell Biology and Genetics; Alemania. Max Planck Institute for the Physics of Complex Systems; Alemania Fil: Oates, Andrew C.. Francis Crick Institute; Reino Unido. University College London; Reino Unido Fil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigación en Biomedicina de Buenos Aires - Instituto Partner de la Sociedad Max Planck; Argentina. Max Planck Institute for Molecular Physiology; Alemania. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física; Argentina |
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. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017-08 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/49814 Uriu, Koichiro; Bhavna, Rajasekaran; Oates, Andrew C.; Morelli, Luis Guillermo; A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis; Company of Biologists; Biology Open; 6; 8; 8-2017; 1235-1244 2046-6390 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/49814 |
identifier_str_mv |
Uriu, Koichiro; Bhavna, Rajasekaran; Oates, Andrew C.; Morelli, Luis Guillermo; A framework for quantification and physical modeling of cell mixing applied to oscillator synchronization in vertebrate somitogenesis; Company of Biologists; Biology Open; 6; 8; 8-2017; 1235-1244 2046-6390 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/http://bio.biologists.org/content/6/8/1235 info:eu-repo/semantics/altIdentifier/doi/10.1242/bio.025148 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/2.5/ar/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
https://creativecommons.org/licenses/by/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Company of Biologists |
publisher.none.fl_str_mv |
Company of Biologists |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613385305456640 |
score |
13.070432 |