Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi

Autores
Carrea, Alejandra; Diambra, Luis Anibal
Año de publicación
2017
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In a recent work we have identified, from a bigger gene regulatory network, a seven-node moduleinvolved in the control of the life cycle of Trypanosoma cruzi (T. cruzi) (Carrea and Diambra,2016). To that end, we have analyzed microarray gene-expression data of the four differentT. cruzi?s life cycle stages, by means of a systems biology approach. The found module is thesmallest gene regulatory subnetwork able to emulate the dynamical properties of the parasite.This module is composed of nine genes: three of them coding for uncharacterized proteins, andthe other six genes coding for characterized proteins. The latter code for: a hexokinase, a δ-1-pyrroline-5-carboxylate dehydrogenase, a quinone oxidoreductase, a glutamate dehydrogenase, apeptidyl-prolyl cis-trans isomerase, and a metaciclina II. Except for metaciclina II, these genes codefor proteins involved in metabolic pathways. Thus, we were expecting gene-expression regulatoryproteins instead of the striking information we obtained. Yet, it eventually became clear that thesemetabolic enzymes could have other regulatory functions beyond their known metabolic one. Thistype of multifunctional proteins are known as moonlighting proteins (Jeffery, 1999). They were firstdiscovered in the late 1980s by Piatigorsky et al. (1988). They found that the lens structural proteinδ-crystallin and the metabolic enzyme argininosuccinate lyase are both encoded by the same gene inducks. Today, it is well-known that moonlighting proteins comprise diverse kinds of proteins, andthat they are present in many different organisms including animals, plants, yeasts, prokaryotes,and protists (for reviews see Jeffery, 2009; Huberts and van der Klei, 2010; Jeffery, 2014).
Fil: Carrea, Alejandra. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Diambra, Luis Anibal. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Materia
COMPUTATIONAL APPROACHES
GENE REGULATORY NETWORK
METABOLIC ENZYMES
MOONLIGHTING PROTEINS
TRYPANOSOMA CRUZI
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:11336/55742

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spelling Commentary: Systems biology approach to model the life cycle of Trypanosoma cruziCarrea, AlejandraDiambra, Luis AnibalCOMPUTATIONAL APPROACHESGENE REGULATORY NETWORKMETABOLIC ENZYMESMOONLIGHTING PROTEINSTRYPANOSOMA CRUZIhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1In a recent work we have identified, from a bigger gene regulatory network, a seven-node moduleinvolved in the control of the life cycle of Trypanosoma cruzi (T. cruzi) (Carrea and Diambra,2016). To that end, we have analyzed microarray gene-expression data of the four differentT. cruzi?s life cycle stages, by means of a systems biology approach. The found module is thesmallest gene regulatory subnetwork able to emulate the dynamical properties of the parasite.This module is composed of nine genes: three of them coding for uncharacterized proteins, andthe other six genes coding for characterized proteins. The latter code for: a hexokinase, a δ-1-pyrroline-5-carboxylate dehydrogenase, a quinone oxidoreductase, a glutamate dehydrogenase, apeptidyl-prolyl cis-trans isomerase, and a metaciclina II. Except for metaciclina II, these genes codefor proteins involved in metabolic pathways. Thus, we were expecting gene-expression regulatoryproteins instead of the striking information we obtained. Yet, it eventually became clear that thesemetabolic enzymes could have other regulatory functions beyond their known metabolic one. Thistype of multifunctional proteins are known as moonlighting proteins (Jeffery, 1999). They were firstdiscovered in the late 1980s by Piatigorsky et al. (1988). They found that the lens structural proteinδ-crystallin and the metabolic enzyme argininosuccinate lyase are both encoded by the same gene inducks. Today, it is well-known that moonlighting proteins comprise diverse kinds of proteins, andthat they are present in many different organisms including animals, plants, yeasts, prokaryotes,and protists (for reviews see Jeffery, 2009; Huberts and van der Klei, 2010; Jeffery, 2014).Fil: Carrea, Alejandra. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Diambra, Luis Anibal. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFrontiers Research Foundation2017-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/55742Carrea, Alejandra; Diambra, Luis Anibal; Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi; Frontiers Research Foundation; Frontiers in Cellular and Infection Microbiology; 7; JAN; 1-2017; 1-32235-2988CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3389/fcimb.2017.00001info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fcimb.2017.00001/fullinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:09:37Zoai:ri.conicet.gov.ar:11336/55742instacron: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 10:09:38.074CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
title Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
spellingShingle Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
Carrea, Alejandra
COMPUTATIONAL APPROACHES
GENE REGULATORY NETWORK
METABOLIC ENZYMES
MOONLIGHTING PROTEINS
TRYPANOSOMA CRUZI
title_short Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
title_full Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
title_fullStr Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
title_full_unstemmed Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
title_sort Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi
dc.creator.none.fl_str_mv Carrea, Alejandra
Diambra, Luis Anibal
author Carrea, Alejandra
author_facet Carrea, Alejandra
Diambra, Luis Anibal
author_role author
author2 Diambra, Luis Anibal
author2_role author
dc.subject.none.fl_str_mv COMPUTATIONAL APPROACHES
GENE REGULATORY NETWORK
METABOLIC ENZYMES
MOONLIGHTING PROTEINS
TRYPANOSOMA CRUZI
topic COMPUTATIONAL APPROACHES
GENE REGULATORY NETWORK
METABOLIC ENZYMES
MOONLIGHTING PROTEINS
TRYPANOSOMA CRUZI
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 a recent work we have identified, from a bigger gene regulatory network, a seven-node moduleinvolved in the control of the life cycle of Trypanosoma cruzi (T. cruzi) (Carrea and Diambra,2016). To that end, we have analyzed microarray gene-expression data of the four differentT. cruzi?s life cycle stages, by means of a systems biology approach. The found module is thesmallest gene regulatory subnetwork able to emulate the dynamical properties of the parasite.This module is composed of nine genes: three of them coding for uncharacterized proteins, andthe other six genes coding for characterized proteins. The latter code for: a hexokinase, a δ-1-pyrroline-5-carboxylate dehydrogenase, a quinone oxidoreductase, a glutamate dehydrogenase, apeptidyl-prolyl cis-trans isomerase, and a metaciclina II. Except for metaciclina II, these genes codefor proteins involved in metabolic pathways. Thus, we were expecting gene-expression regulatoryproteins instead of the striking information we obtained. Yet, it eventually became clear that thesemetabolic enzymes could have other regulatory functions beyond their known metabolic one. Thistype of multifunctional proteins are known as moonlighting proteins (Jeffery, 1999). They were firstdiscovered in the late 1980s by Piatigorsky et al. (1988). They found that the lens structural proteinδ-crystallin and the metabolic enzyme argininosuccinate lyase are both encoded by the same gene inducks. Today, it is well-known that moonlighting proteins comprise diverse kinds of proteins, andthat they are present in many different organisms including animals, plants, yeasts, prokaryotes,and protists (for reviews see Jeffery, 2009; Huberts and van der Klei, 2010; Jeffery, 2014).
Fil: Carrea, Alejandra. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Diambra, Luis Anibal. Universidad Nacional de La Plata. Centro Regional de Estudios Genómicos; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
description In a recent work we have identified, from a bigger gene regulatory network, a seven-node moduleinvolved in the control of the life cycle of Trypanosoma cruzi (T. cruzi) (Carrea and Diambra,2016). To that end, we have analyzed microarray gene-expression data of the four differentT. cruzi?s life cycle stages, by means of a systems biology approach. The found module is thesmallest gene regulatory subnetwork able to emulate the dynamical properties of the parasite.This module is composed of nine genes: three of them coding for uncharacterized proteins, andthe other six genes coding for characterized proteins. The latter code for: a hexokinase, a δ-1-pyrroline-5-carboxylate dehydrogenase, a quinone oxidoreductase, a glutamate dehydrogenase, apeptidyl-prolyl cis-trans isomerase, and a metaciclina II. Except for metaciclina II, these genes codefor proteins involved in metabolic pathways. Thus, we were expecting gene-expression regulatoryproteins instead of the striking information we obtained. Yet, it eventually became clear that thesemetabolic enzymes could have other regulatory functions beyond their known metabolic one. Thistype of multifunctional proteins are known as moonlighting proteins (Jeffery, 1999). They were firstdiscovered in the late 1980s by Piatigorsky et al. (1988). They found that the lens structural proteinδ-crystallin and the metabolic enzyme argininosuccinate lyase are both encoded by the same gene inducks. Today, it is well-known that moonlighting proteins comprise diverse kinds of proteins, andthat they are present in many different organisms including animals, plants, yeasts, prokaryotes,and protists (for reviews see Jeffery, 2009; Huberts and van der Klei, 2010; Jeffery, 2014).
publishDate 2017
dc.date.none.fl_str_mv 2017-01
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
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info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/55742
Carrea, Alejandra; Diambra, Luis Anibal; Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi; Frontiers Research Foundation; Frontiers in Cellular and Infection Microbiology; 7; JAN; 1-2017; 1-3
2235-2988
CONICET Digital
CONICET
url http://hdl.handle.net/11336/55742
identifier_str_mv Carrea, Alejandra; Diambra, Luis Anibal; Commentary: Systems biology approach to model the life cycle of Trypanosoma cruzi; Frontiers Research Foundation; Frontiers in Cellular and Infection Microbiology; 7; JAN; 1-2017; 1-3
2235-2988
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3389/fcimb.2017.00001
info:eu-repo/semantics/altIdentifier/url/https://www.frontiersin.org/articles/10.3389/fcimb.2017.00001/full
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 Frontiers Research Foundation
publisher.none.fl_str_mv Frontiers Research Foundation
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