Load-induced modulation of signal transduction networks
- Autores
- Jiang, Peng; Ventura, Alejandra; Sontag, Eduardo D.; Merajver, Sofia D.; Ninfa, Alexander J.; Del Vecchio, Domitilla
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Biological signal transduction networks are commonly viewed as circuits that pass along information—in the process amplifying signals, enhancing sensitivity, or performing other signal-processing tasks—to transcriptional and other components. Here, we report on a “reverse-causality” phenomenon, which we call load-induced modulation. Through a combination of analytical and experimental tools, we discovered that signaling was modulated, in a surprising way, by downstream targets that receive the signal and, in doing so, apply what in physics is called a load. Specifically, we found that non-intuitive changes in response dynamics occurred for a covalent modification cycle when load was present. Loading altered the response time of a system, depending on whether the activity of one of the enzymes was maximal and the other was operating at its minimal rate or whether both enzymes were operating at submaximal rates. These two conditions, which we call “limit regime” and “intermediate regime,” were associated with increased or decreased response times, respectively. The bandwidth, the range of frequency in which the system can process information, decreased in the presence of load, suggesting that downstream targets participate in establishing a balance between noise-filtering capabilities and a circuit’s ability to process high-frequency stimulation. Nodes in a signaling network are not independent relay devices, but rather are modulated by their downstream targets.
Fil: Jiang, Peng. University of Michigan; Estados Unidos
Fil: Ventura, Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular. Laboratorio de Fisiología y Biología Molecular; Argentina
Fil: Sontag, Eduardo D.. Rutgers University; Estados Unidos
Fil: Merajver, Sofia D.. University of Michigan; Estados Unidos
Fil: Ninfa, Alexander J.. University of Michigan; Estados Unidos
Fil: Del Vecchio, Domitilla. Massachusetts Institute of Technology; Estados Unidos - Materia
-
BIOCHEMISTRY AND MOLECULAR BIOLOGY
CELL BIOLOGY
CASCADES
INSULATION - 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:11336/88188
Ver los metadatos del registro completo
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Load-induced modulation of signal transduction networksJiang, PengVentura, AlejandraSontag, Eduardo D.Merajver, Sofia D.Ninfa, Alexander J.Del Vecchio, DomitillaBIOCHEMISTRY AND MOLECULAR BIOLOGYCELL BIOLOGYCASCADESINSULATIONhttps://purl.org/becyt/ford/1.3https://purl.org/becyt/ford/1Biological signal transduction networks are commonly viewed as circuits that pass along information—in the process amplifying signals, enhancing sensitivity, or performing other signal-processing tasks—to transcriptional and other components. Here, we report on a “reverse-causality” phenomenon, which we call load-induced modulation. Through a combination of analytical and experimental tools, we discovered that signaling was modulated, in a surprising way, by downstream targets that receive the signal and, in doing so, apply what in physics is called a load. Specifically, we found that non-intuitive changes in response dynamics occurred for a covalent modification cycle when load was present. Loading altered the response time of a system, depending on whether the activity of one of the enzymes was maximal and the other was operating at its minimal rate or whether both enzymes were operating at submaximal rates. These two conditions, which we call “limit regime” and “intermediate regime,” were associated with increased or decreased response times, respectively. The bandwidth, the range of frequency in which the system can process information, decreased in the presence of load, suggesting that downstream targets participate in establishing a balance between noise-filtering capabilities and a circuit’s ability to process high-frequency stimulation. Nodes in a signaling network are not independent relay devices, but rather are modulated by their downstream targets.Fil: Jiang, Peng. University of Michigan; Estados UnidosFil: Ventura, Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular. Laboratorio de Fisiología y Biología Molecular; ArgentinaFil: Sontag, Eduardo D.. Rutgers University; Estados UnidosFil: Merajver, Sofia D.. University of Michigan; Estados UnidosFil: Ninfa, Alexander J.. University of Michigan; Estados UnidosFil: Del Vecchio, Domitilla. Massachusetts Institute of Technology; Estados UnidosAmerican Association for the Advancement of Science2011-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/88188Jiang, Peng; Ventura, Alejandra; Sontag, Eduardo D.; Merajver, Sofia D.; Ninfa, Alexander J.; et al.; Load-induced modulation of signal transduction networks; American Association for the Advancement of Science; Science Signaling; 4; 194; 10-2011; 1-101937-9145CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://stke.sciencemag.org/content/4/194/ra67info:eu-repo/semantics/altIdentifier/doi/10.1126/scisignal.2002152info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-10T13:23:34Zoai:ri.conicet.gov.ar:11336/88188instacron: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:34982025-09-10 13:23:34.564CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Load-induced modulation of signal transduction networks |
title |
Load-induced modulation of signal transduction networks |
spellingShingle |
Load-induced modulation of signal transduction networks Jiang, Peng BIOCHEMISTRY AND MOLECULAR BIOLOGY CELL BIOLOGY CASCADES INSULATION |
title_short |
Load-induced modulation of signal transduction networks |
title_full |
Load-induced modulation of signal transduction networks |
title_fullStr |
Load-induced modulation of signal transduction networks |
title_full_unstemmed |
Load-induced modulation of signal transduction networks |
title_sort |
Load-induced modulation of signal transduction networks |
dc.creator.none.fl_str_mv |
Jiang, Peng Ventura, Alejandra Sontag, Eduardo D. Merajver, Sofia D. Ninfa, Alexander J. Del Vecchio, Domitilla |
author |
Jiang, Peng |
author_facet |
Jiang, Peng Ventura, Alejandra Sontag, Eduardo D. Merajver, Sofia D. Ninfa, Alexander J. Del Vecchio, Domitilla |
author_role |
author |
author2 |
Ventura, Alejandra Sontag, Eduardo D. Merajver, Sofia D. Ninfa, Alexander J. Del Vecchio, Domitilla |
author2_role |
author author author author author |
dc.subject.none.fl_str_mv |
BIOCHEMISTRY AND MOLECULAR BIOLOGY CELL BIOLOGY CASCADES INSULATION |
topic |
BIOCHEMISTRY AND MOLECULAR BIOLOGY CELL BIOLOGY CASCADES INSULATION |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.3 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Biological signal transduction networks are commonly viewed as circuits that pass along information—in the process amplifying signals, enhancing sensitivity, or performing other signal-processing tasks—to transcriptional and other components. Here, we report on a “reverse-causality” phenomenon, which we call load-induced modulation. Through a combination of analytical and experimental tools, we discovered that signaling was modulated, in a surprising way, by downstream targets that receive the signal and, in doing so, apply what in physics is called a load. Specifically, we found that non-intuitive changes in response dynamics occurred for a covalent modification cycle when load was present. Loading altered the response time of a system, depending on whether the activity of one of the enzymes was maximal and the other was operating at its minimal rate or whether both enzymes were operating at submaximal rates. These two conditions, which we call “limit regime” and “intermediate regime,” were associated with increased or decreased response times, respectively. The bandwidth, the range of frequency in which the system can process information, decreased in the presence of load, suggesting that downstream targets participate in establishing a balance between noise-filtering capabilities and a circuit’s ability to process high-frequency stimulation. Nodes in a signaling network are not independent relay devices, but rather are modulated by their downstream targets. Fil: Jiang, Peng. University of Michigan; Estados Unidos Fil: Ventura, Alejandra. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Fisiología, Biología Molecular y Neurociencias. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Fisiología, Biología Molecular y Neurociencias; Argentina. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Fisiología, Biología Molecular y Celular. Laboratorio de Fisiología y Biología Molecular; Argentina Fil: Sontag, Eduardo D.. Rutgers University; Estados Unidos Fil: Merajver, Sofia D.. University of Michigan; Estados Unidos Fil: Ninfa, Alexander J.. University of Michigan; Estados Unidos Fil: Del Vecchio, Domitilla. Massachusetts Institute of Technology; Estados Unidos |
description |
Biological signal transduction networks are commonly viewed as circuits that pass along information—in the process amplifying signals, enhancing sensitivity, or performing other signal-processing tasks—to transcriptional and other components. Here, we report on a “reverse-causality” phenomenon, which we call load-induced modulation. Through a combination of analytical and experimental tools, we discovered that signaling was modulated, in a surprising way, by downstream targets that receive the signal and, in doing so, apply what in physics is called a load. Specifically, we found that non-intuitive changes in response dynamics occurred for a covalent modification cycle when load was present. Loading altered the response time of a system, depending on whether the activity of one of the enzymes was maximal and the other was operating at its minimal rate or whether both enzymes were operating at submaximal rates. These two conditions, which we call “limit regime” and “intermediate regime,” were associated with increased or decreased response times, respectively. The bandwidth, the range of frequency in which the system can process information, decreased in the presence of load, suggesting that downstream targets participate in establishing a balance between noise-filtering capabilities and a circuit’s ability to process high-frequency stimulation. Nodes in a signaling network are not independent relay devices, but rather are modulated by their downstream targets. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-10 |
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/11336/88188 Jiang, Peng; Ventura, Alejandra; Sontag, Eduardo D.; Merajver, Sofia D.; Ninfa, Alexander J.; et al.; Load-induced modulation of signal transduction networks; American Association for the Advancement of Science; Science Signaling; 4; 194; 10-2011; 1-10 1937-9145 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/88188 |
identifier_str_mv |
Jiang, Peng; Ventura, Alejandra; Sontag, Eduardo D.; Merajver, Sofia D.; Ninfa, Alexander J.; et al.; Load-induced modulation of signal transduction networks; American Association for the Advancement of Science; Science Signaling; 4; 194; 10-2011; 1-10 1937-9145 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://stke.sciencemag.org/content/4/194/ra67 info:eu-repo/semantics/altIdentifier/doi/10.1126/scisignal.2002152 |
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 |
American Association for the Advancement of Science |
publisher.none.fl_str_mv |
American Association for the Advancement of Science |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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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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12.48226 |