Mathematical modeling of regenerative processes

Autores
Chara, Osvaldo; Tanaka, Elly M.; Brusch, Lutz
Año de publicación
2014
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In many animals, regenerative processes can replace lost body parts. Organ and tissue regeneration consequently also hold great medical promise. The regulation of regenerative processes is achieved through concerted actions of multiple organizational levels of the organism, from diffusing molecules and cellular gene expression patterns up to tissue mechanics. Our intuition is usually not adapted well to this degree of complexity and the quantitative aspects of the regulation of regenerative processes remain poorly understood. One way out of this dilemma lies in the combination of experimentation and mathematical modeling within an iterative process of model development/refinement, model predictions for novel experimental conditions, quantitative experiments testing these predictions, and subsequent model refinement. This interdisciplinary approach has already provided key insights into smaller scale processes during embryonic development and a so-far limited number of more complex regeneration processes. This review discusses selected theoretical and interdisciplinary studies and is structured along the three phases of regeneration: (1) initiation of a regeneration response, (2) tissue patterning during regenerate growth, (3) arresting the regeneration response. Moreover, we highlight the opportunities provided by extensions of mathematical models from developmental processes toward the study of related regenerative processes.
Fil: Chara, Osvaldo. Technische Universität Dresden. Dresden; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Tanaka, Elly M.. Center for Regenerative Therapies Dresden. Dresden; Alemania
Fil: Brusch, Lutz. Technische Universität Dresden. Dresden; Alemania
Materia
Mathematical Model
In Silico Model
Simulation
Computational Biology
Systems Biology
Regeneration
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:11336/32407
Acceder
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network_name_str CONICET Digital (CONICET)
spelling Mathematical modeling of regenerative processesChara, OsvaldoTanaka, Elly M.Brusch, LutzMathematical ModelIn Silico ModelSimulationComputational BiologySystems BiologyRegenerationhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In many animals, regenerative processes can replace lost body parts. Organ and tissue regeneration consequently also hold great medical promise. The regulation of regenerative processes is achieved through concerted actions of multiple organizational levels of the organism, from diffusing molecules and cellular gene expression patterns up to tissue mechanics. Our intuition is usually not adapted well to this degree of complexity and the quantitative aspects of the regulation of regenerative processes remain poorly understood. One way out of this dilemma lies in the combination of experimentation and mathematical modeling within an iterative process of model development/refinement, model predictions for novel experimental conditions, quantitative experiments testing these predictions, and subsequent model refinement. This interdisciplinary approach has already provided key insights into smaller scale processes during embryonic development and a so-far limited number of more complex regeneration processes. This review discusses selected theoretical and interdisciplinary studies and is structured along the three phases of regeneration: (1) initiation of a regeneration response, (2) tissue patterning during regenerate growth, (3) arresting the regeneration response. Moreover, we highlight the opportunities provided by extensions of mathematical models from developmental processes toward the study of related regenerative processes.Fil: Chara, Osvaldo. Technische Universität Dresden. Dresden; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; ArgentinaFil: Tanaka, Elly M.. Center for Regenerative Therapies Dresden. Dresden; AlemaniaFil: Brusch, Lutz. Technische Universität Dresden. Dresden; AlemaniaElsevier Academic Press Inc2014-02info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/32407Brusch, Lutz; Chara, Osvaldo; Tanaka, Elly M.; Mathematical modeling of regenerative processes; Elsevier Academic Press Inc; Current Topics In Developmental Biology; 108; 2-2014; 283-3170070-2153CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-12-391498-9.00011-5info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/B9780123914989000115info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-29T12:54:43Zoai:ri.conicet.gov.ar:11336/32407instacron: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:34982025-10-29 12:54:43.766CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Mathematical modeling of regenerative processes
title Mathematical modeling of regenerative processes
spellingShingle Mathematical modeling of regenerative processes
Chara, Osvaldo
Mathematical Model
In Silico Model
Simulation
Computational Biology
Systems Biology
Regeneration
title_short Mathematical modeling of regenerative processes
title_full Mathematical modeling of regenerative processes
title_fullStr Mathematical modeling of regenerative processes
title_full_unstemmed Mathematical modeling of regenerative processes
title_sort Mathematical modeling of regenerative processes
dc.creator.none.fl_str_mv Chara, Osvaldo
Tanaka, Elly M.
Brusch, Lutz
author Chara, Osvaldo
author_facet Chara, Osvaldo
Tanaka, Elly M.
Brusch, Lutz
author_role author
author2 Tanaka, Elly M.
Brusch, Lutz
author2_role author
author
dc.subject.none.fl_str_mv Mathematical Model
In Silico Model
Simulation
Computational Biology
Systems Biology
Regeneration
topic Mathematical Model
In Silico Model
Simulation
Computational Biology
Systems Biology
Regeneration
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 many animals, regenerative processes can replace lost body parts. Organ and tissue regeneration consequently also hold great medical promise. The regulation of regenerative processes is achieved through concerted actions of multiple organizational levels of the organism, from diffusing molecules and cellular gene expression patterns up to tissue mechanics. Our intuition is usually not adapted well to this degree of complexity and the quantitative aspects of the regulation of regenerative processes remain poorly understood. One way out of this dilemma lies in the combination of experimentation and mathematical modeling within an iterative process of model development/refinement, model predictions for novel experimental conditions, quantitative experiments testing these predictions, and subsequent model refinement. This interdisciplinary approach has already provided key insights into smaller scale processes during embryonic development and a so-far limited number of more complex regeneration processes. This review discusses selected theoretical and interdisciplinary studies and is structured along the three phases of regeneration: (1) initiation of a regeneration response, (2) tissue patterning during regenerate growth, (3) arresting the regeneration response. Moreover, we highlight the opportunities provided by extensions of mathematical models from developmental processes toward the study of related regenerative processes.
Fil: Chara, Osvaldo. Technische Universität Dresden. Dresden; Alemania. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Instituto de Física de Líquidos y Sistemas Biológicos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Instituto de Física de Líquidos y Sistemas Biológicos; Argentina
Fil: Tanaka, Elly M.. Center for Regenerative Therapies Dresden. Dresden; Alemania
Fil: Brusch, Lutz. Technische Universität Dresden. Dresden; Alemania
description In many animals, regenerative processes can replace lost body parts. Organ and tissue regeneration consequently also hold great medical promise. The regulation of regenerative processes is achieved through concerted actions of multiple organizational levels of the organism, from diffusing molecules and cellular gene expression patterns up to tissue mechanics. Our intuition is usually not adapted well to this degree of complexity and the quantitative aspects of the regulation of regenerative processes remain poorly understood. One way out of this dilemma lies in the combination of experimentation and mathematical modeling within an iterative process of model development/refinement, model predictions for novel experimental conditions, quantitative experiments testing these predictions, and subsequent model refinement. This interdisciplinary approach has already provided key insights into smaller scale processes during embryonic development and a so-far limited number of more complex regeneration processes. This review discusses selected theoretical and interdisciplinary studies and is structured along the three phases of regeneration: (1) initiation of a regeneration response, (2) tissue patterning during regenerate growth, (3) arresting the regeneration response. Moreover, we highlight the opportunities provided by extensions of mathematical models from developmental processes toward the study of related regenerative processes.
publishDate 2014
dc.date.none.fl_str_mv 2014-02
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/11336/32407
Brusch, Lutz; Chara, Osvaldo; Tanaka, Elly M.; Mathematical modeling of regenerative processes; Elsevier Academic Press Inc; Current Topics In Developmental Biology; 108; 2-2014; 283-317
0070-2153
CONICET Digital
CONICET
url http://hdl.handle.net/11336/32407
identifier_str_mv Brusch, Lutz; Chara, Osvaldo; Tanaka, Elly M.; Mathematical modeling of regenerative processes; Elsevier Academic Press Inc; Current Topics In Developmental Biology; 108; 2-2014; 283-317
0070-2153
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1016/B978-0-12-391498-9.00011-5
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/B9780123914989000115
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 Elsevier Academic Press Inc
publisher.none.fl_str_mv Elsevier Academic Press Inc
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 13.10058

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