Computational Approaches to Developmental Patterning

Autores
Morelli, Luis Guillermo; Uriu, Koichiro; Ares, Saul; Oates, Andrew C.
Año de publicación
2012
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Computational approaches are breaking new ground in understanding how embryos form. Here, we discuss recent studies that couple precise measurements in the embryo with appropriately matched modeling and computational methods to investigate classic embryonic patterning strategies. We include signaling gradients, activator-inhibitor systems, and coupled oscillators, as well as emerging paradigms such as tissue deformation. Parallel progress in theory and experiment will play an increasingly central role in deciphering developmental patterning.
Fil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Uriu, Koichiro. Max Planck Institute for the Physics of Complex Systems; Alemania
Fil: Ares, Saul. Max Planck Institute for the Physics of Complex Systems; Alemania
Fil: Oates, Andrew C.. Max Planck Institute of Molecular Cell Biology and Genetics; Alemania
Materia
Computational Biology
Theory
Development
Patterns
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/55637
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Computational Approaches to Developmental PatterningMorelli, Luis GuillermoUriu, KoichiroAres, SaulOates, Andrew C.Computational BiologyTheoryDevelopmentPatternshttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Computational approaches are breaking new ground in understanding how embryos form. Here, we discuss recent studies that couple precise measurements in the embryo with appropriately matched modeling and computational methods to investigate classic embryonic patterning strategies. We include signaling gradients, activator-inhibitor systems, and coupled oscillators, as well as emerging paradigms such as tissue deformation. Parallel progress in theory and experiment will play an increasingly central role in deciphering developmental patterning.Fil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; ArgentinaFil: Uriu, Koichiro. Max Planck Institute for the Physics of Complex Systems; AlemaniaFil: Ares, Saul. Max Planck Institute for the Physics of Complex Systems; AlemaniaFil: Oates, Andrew C.. Max Planck Institute of Molecular Cell Biology and Genetics; AlemaniaAmerican Association for the Advancement of Science2012-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55637Morelli, Luis Guillermo; Uriu, Koichiro; Ares, Saul; Oates, Andrew C.; Computational Approaches to Developmental Patterning; American Association for the Advancement of Science; Science; 336; 4-2012; 187-1910036-8075CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.sciencemag.org/content/336/6078/187info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:46:13Zoai:ri.conicet.gov.ar:11336/55637instacron: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 10:46:13.252CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Computational Approaches to Developmental Patterning
title Computational Approaches to Developmental Patterning
spellingShingle Computational Approaches to Developmental Patterning
Morelli, Luis Guillermo
Computational Biology
Theory
Development
Patterns
title_short Computational Approaches to Developmental Patterning
title_full Computational Approaches to Developmental Patterning
title_fullStr Computational Approaches to Developmental Patterning
title_full_unstemmed Computational Approaches to Developmental Patterning
title_sort Computational Approaches to Developmental Patterning
dc.creator.none.fl_str_mv Morelli, Luis Guillermo
Uriu, Koichiro
Ares, Saul
Oates, Andrew C.
author Morelli, Luis Guillermo
author_facet Morelli, Luis Guillermo
Uriu, Koichiro
Ares, Saul
Oates, Andrew C.
author_role author
author2 Uriu, Koichiro
Ares, Saul
Oates, Andrew C.
author2_role author
author
author
dc.subject.none.fl_str_mv Computational Biology
Theory
Development
Patterns
topic Computational Biology
Theory
Development
Patterns
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.6
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Computational approaches are breaking new ground in understanding how embryos form. Here, we discuss recent studies that couple precise measurements in the embryo with appropriately matched modeling and computational methods to investigate classic embryonic patterning strategies. We include signaling gradients, activator-inhibitor systems, and coupled oscillators, as well as emerging paradigms such as tissue deformation. Parallel progress in theory and experiment will play an increasingly central role in deciphering developmental patterning.
Fil: Morelli, Luis Guillermo. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Física de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Física de Buenos Aires; Argentina
Fil: Uriu, Koichiro. Max Planck Institute for the Physics of Complex Systems; Alemania
Fil: Ares, Saul. Max Planck Institute for the Physics of Complex Systems; Alemania
Fil: Oates, Andrew C.. Max Planck Institute of Molecular Cell Biology and Genetics; Alemania
description Computational approaches are breaking new ground in understanding how embryos form. Here, we discuss recent studies that couple precise measurements in the embryo with appropriately matched modeling and computational methods to investigate classic embryonic patterning strategies. We include signaling gradients, activator-inhibitor systems, and coupled oscillators, as well as emerging paradigms such as tissue deformation. Parallel progress in theory and experiment will play an increasingly central role in deciphering developmental patterning.
publishDate 2012
dc.date.none.fl_str_mv 2012-04
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/11336/55637
Morelli, Luis Guillermo; Uriu, Koichiro; Ares, Saul; Oates, Andrew C.; Computational Approaches to Developmental Patterning; American Association for the Advancement of Science; Science; 336; 4-2012; 187-191
0036-8075
CONICET Digital
CONICET
url http://hdl.handle.net/11336/55637
identifier_str_mv Morelli, Luis Guillermo; Uriu, Koichiro; Ares, Saul; Oates, Andrew C.; Computational Approaches to Developmental Patterning; American Association for the Advancement of Science; Science; 336; 4-2012; 187-191
0036-8075
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://www.sciencemag.org/content/336/6078/187
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv American Association for the Advancement of Science
publisher.none.fl_str_mv American Association for the Advancement of Science
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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score 13.070432

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