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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/55742
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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 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/11336/55742 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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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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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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13.070432 |