Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks

In recent years, high-throughput discovery of macromolecular protein structures and complexes has played a major role in advancing a more systems-oriented view of protein interaction and signaling networks. The design of biological systems often employs structural information or structure-based prot...

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Detalles Bibliográficos
Autores: Kiel, Christina, Serrano Pubull, Luis, 1982-
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2012
País:España
Institución:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
Repositorio:Recercat. Dipósit de la Recerca de Catalunya
OAI Identifier:oai:recercat.cat:10230/23121
Acceso en línea:http://hdl.handle.net/10230/23121
http://dx.doi.org/10.1016/j.str.2012.10.002
Access Level:acceso abierto
Palabra clave:Proteïnes
Transducció de senyal cel·lular
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spelling Structural data in synthetic biology approaches for studying general design principles of cellular signaling networksKiel, ChristinaSerrano Pubull, Luis, 1982-ProteïnesTransducció de senyal cel·lularIn recent years, high-throughput discovery of macromolecular protein structures and complexes has played a major role in advancing a more systems-oriented view of protein interaction and signaling networks. The design of biological systems often employs structural information or structure-based protein design to successfully implement synthetic signaling circuits or for rewiring signaling flows. Here, we summarize the latest advances in using structural information for studying protein interaction and signaling networks, and in synthetic biology approaches. We then provide a perspective of how combining structural biology with engineered cell signaling modules--using additional information from quantitative biochemistry and proteomics, gene evolution, and mathematical modeling--can provide insight into signaling modules and the general design principles of cell signaling. Ultimately, this will improve our understanding of cell- and tissue-type-specific signal transduction. Integrating the quantitative effects of disease mutations into these systems may provide a basis for elucidating the molecular mechanisms of diseases.The work was supported by the EU (PROSPECTS, grant agreement number 201648, and PRIMES, grant agreement number 278568)Elsevier201520152012info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/10230/23121http://dx.doi.org/10.1016/j.str.2012.10.002reponame:Recercat. Dipósit de la Recerca de Catalunyainstname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)InglésStructure. 2012;20(11):1806-13info:eu-repo/grantAgreement/EC/FP7/201648info:eu-repo/grantAgreement/EC/FP7/278568© Elsevier http://dx.doi.org/10.1016/j.str.2012.10.002 Article published under an Elsevier user license, protected by copyright and may be used for non-commercial purposes. Users may access, download, copy, translate, text mine and data mine the article.http://www.elsevier.com/open-access/userlicense/1.0/info:eu-repo/semantics/openAccessoai:recercat.cat:10230/231212026-05-29T05:05:01Z
dc.title.none.fl_str_mv Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
title Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
spellingShingle Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
Kiel, Christina
Proteïnes
Transducció de senyal cel·lular
title_short Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
title_full Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
title_fullStr Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
title_full_unstemmed Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
title_sort Structural data in synthetic biology approaches for studying general design principles of cellular signaling networks
dc.creator.none.fl_str_mv Kiel, Christina
Serrano Pubull, Luis, 1982-
author Kiel, Christina
author_facet Kiel, Christina
Serrano Pubull, Luis, 1982-
author_role author
author2 Serrano Pubull, Luis, 1982-
author2_role author
dc.subject.none.fl_str_mv Proteïnes
Transducció de senyal cel·lular
topic Proteïnes
Transducció de senyal cel·lular
description In recent years, high-throughput discovery of macromolecular protein structures and complexes has played a major role in advancing a more systems-oriented view of protein interaction and signaling networks. The design of biological systems often employs structural information or structure-based protein design to successfully implement synthetic signaling circuits or for rewiring signaling flows. Here, we summarize the latest advances in using structural information for studying protein interaction and signaling networks, and in synthetic biology approaches. We then provide a perspective of how combining structural biology with engineered cell signaling modules--using additional information from quantitative biochemistry and proteomics, gene evolution, and mathematical modeling--can provide insight into signaling modules and the general design principles of cell signaling. Ultimately, this will improve our understanding of cell- and tissue-type-specific signal transduction. Integrating the quantitative effects of disease mutations into these systems may provide a basis for elucidating the molecular mechanisms of diseases.
publishDate 2012
dc.date.none.fl_str_mv 2012
2015
2015
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/10230/23121
http://dx.doi.org/10.1016/j.str.2012.10.002
url http://hdl.handle.net/10230/23121
http://dx.doi.org/10.1016/j.str.2012.10.002
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Structure. 2012;20(11):1806-13
info:eu-repo/grantAgreement/EC/FP7/201648
info:eu-repo/grantAgreement/EC/FP7/278568
dc.rights.none.fl_str_mv http://www.elsevier.com/open-access/userlicense/1.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv http://www.elsevier.com/open-access/userlicense/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Recercat. Dipósit de la Recerca de Catalunya
instname:Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
instname_str Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya)
reponame_str Recercat. Dipósit de la Recerca de Catalunya
collection Recercat. Dipósit de la Recerca de Catalunya
repository.name.fl_str_mv
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