Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi

Autores
Carrea, Alejandra; Diambra, Luis Aníbal
Año de publicación
2015
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Due to recent advances in reprogramming cell phenotypes, many efforts have been dedicated to developing reverse engineering procedures for the identification of gene regulatory networks that emulate dynamical properties associated with the cell fates of a given biological system. In this work, we propose a systems biology approach for the reconstruction of the gene regulatory network underlying the dynamics of the Trypanosoma cruzi's life cycle. By means of an optimisation procedure, we embedded the steady state maintenance, and the known phenotypic transitions between these steady states in response to environmental cues, into the dynamics of a gene network model. In the resulting network architecture we identified a small subnetwork, formed by seven interconnected nodes, that controls the parasite's life cycle. The present approach could be useful for better understanding other single cell organisms with multiple developmental stages.
Centro Regional de Estudios Genómicos
Materia
Ciencias Exactas
cell phenotypes
gene regulatory network
Trypanosoma cruzi
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/134079

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spelling Systems Biology Approach to Model the Life Cycle of Trypanosoma cruziCarrea, AlejandraDiambra, Luis AníbalCiencias Exactascell phenotypesgene regulatory networkTrypanosoma cruziDue to recent advances in reprogramming cell phenotypes, many efforts have been dedicated to developing reverse engineering procedures for the identification of gene regulatory networks that emulate dynamical properties associated with the cell fates of a given biological system. In this work, we propose a systems biology approach for the reconstruction of the gene regulatory network underlying the dynamics of the Trypanosoma cruzi's life cycle. By means of an optimisation procedure, we embedded the steady state maintenance, and the known phenotypic transitions between these steady states in response to environmental cues, into the dynamics of a gene network model. In the resulting network architecture we identified a small subnetwork, formed by seven interconnected nodes, that controls the parasite's life cycle. The present approach could be useful for better understanding other single cell organisms with multiple developmental stages.Centro Regional de Estudios Genómicos2015-08-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionArticulohttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttp://sedici.unlp.edu.ar/handle/10915/134079spainfo:eu-repo/semantics/altIdentifier/doi/10.1101/025510info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by/4.0/Creative Commons Attribution 4.0 International (CC BY 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:31:48Zoai:sedici.unlp.edu.ar:10915/134079Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:31:48.256SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
title Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
spellingShingle Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
Carrea, Alejandra
Ciencias Exactas
cell phenotypes
gene regulatory network
Trypanosoma cruzi
title_short Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
title_full Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
title_fullStr Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
title_full_unstemmed Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
title_sort Systems Biology Approach to Model the Life Cycle of Trypanosoma cruzi
dc.creator.none.fl_str_mv Carrea, Alejandra
Diambra, Luis Aníbal
author Carrea, Alejandra
author_facet Carrea, Alejandra
Diambra, Luis Aníbal
author_role author
author2 Diambra, Luis Aníbal
author2_role author
dc.subject.none.fl_str_mv Ciencias Exactas
cell phenotypes
gene regulatory network
Trypanosoma cruzi
topic Ciencias Exactas
cell phenotypes
gene regulatory network
Trypanosoma cruzi
dc.description.none.fl_txt_mv Due to recent advances in reprogramming cell phenotypes, many efforts have been dedicated to developing reverse engineering procedures for the identification of gene regulatory networks that emulate dynamical properties associated with the cell fates of a given biological system. In this work, we propose a systems biology approach for the reconstruction of the gene regulatory network underlying the dynamics of the Trypanosoma cruzi's life cycle. By means of an optimisation procedure, we embedded the steady state maintenance, and the known phenotypic transitions between these steady states in response to environmental cues, into the dynamics of a gene network model. In the resulting network architecture we identified a small subnetwork, formed by seven interconnected nodes, that controls the parasite's life cycle. The present approach could be useful for better understanding other single cell organisms with multiple developmental stages.
Centro Regional de Estudios Genómicos
description Due to recent advances in reprogramming cell phenotypes, many efforts have been dedicated to developing reverse engineering procedures for the identification of gene regulatory networks that emulate dynamical properties associated with the cell fates of a given biological system. In this work, we propose a systems biology approach for the reconstruction of the gene regulatory network underlying the dynamics of the Trypanosoma cruzi's life cycle. By means of an optimisation procedure, we embedded the steady state maintenance, and the known phenotypic transitions between these steady states in response to environmental cues, into the dynamics of a gene network model. In the resulting network architecture we identified a small subnetwork, formed by seven interconnected nodes, that controls the parasite's life cycle. The present approach could be useful for better understanding other single cell organisms with multiple developmental stages.
publishDate 2015
dc.date.none.fl_str_mv 2015-08-25
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info:eu-repo/semantics/publishedVersion
Articulo
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://sedici.unlp.edu.ar/handle/10915/134079
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dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1101/025510
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by/4.0/
Creative Commons Attribution 4.0 International (CC BY 4.0)
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