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Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling

Bistability has important implications in signaling pathways, since it indicates a potential cell decision between alternative outcomes. We present two approaches developed in the framework of the Chemical Reaction Network Theory for easy and efficient search of multiple steady state behavior in sig...

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Detalles Bibliográficos
Autores principales: Otero-Muras, Irene, Yordanov, Pencho, Stelling, Joerg
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400276/
https://www.ncbi.nlm.nih.gov/pubmed/28369103
http://dx.doi.org/10.1371/journal.pcbi.1005454
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author Otero-Muras, Irene
Yordanov, Pencho
Stelling, Joerg
author_facet Otero-Muras, Irene
Yordanov, Pencho
Stelling, Joerg
author_sort Otero-Muras, Irene
collection PubMed
description Bistability has important implications in signaling pathways, since it indicates a potential cell decision between alternative outcomes. We present two approaches developed in the framework of the Chemical Reaction Network Theory for easy and efficient search of multiple steady state behavior in signaling networks (both with and without mass conservation), and apply them to search for sources of bistability at different levels of the interferon signaling pathway. Different type I interferon subtypes and/or doses are known to elicit differential bioactivities (ranging from antiviral, antiproliferative to immunomodulatory activities). How different signaling outcomes can be generated through the same receptor and activating the same JAK/STAT pathway is still an open question. Here, we detect bistability at the level of early STAT signaling, showing how two different cell outcomes are achieved under or above a threshold in ligand dose or ligand-receptor affinity. This finding could contribute to explain the differential signaling (antiviral vs apoptotic) depending on interferon dose and subtype (α vs β) observed in type I interferons.
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spelling pubmed-54002762017-05-15 Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling Otero-Muras, Irene Yordanov, Pencho Stelling, Joerg PLoS Comput Biol Research Article Bistability has important implications in signaling pathways, since it indicates a potential cell decision between alternative outcomes. We present two approaches developed in the framework of the Chemical Reaction Network Theory for easy and efficient search of multiple steady state behavior in signaling networks (both with and without mass conservation), and apply them to search for sources of bistability at different levels of the interferon signaling pathway. Different type I interferon subtypes and/or doses are known to elicit differential bioactivities (ranging from antiviral, antiproliferative to immunomodulatory activities). How different signaling outcomes can be generated through the same receptor and activating the same JAK/STAT pathway is still an open question. Here, we detect bistability at the level of early STAT signaling, showing how two different cell outcomes are achieved under or above a threshold in ligand dose or ligand-receptor affinity. This finding could contribute to explain the differential signaling (antiviral vs apoptotic) depending on interferon dose and subtype (α vs β) observed in type I interferons. Public Library of Science 2017-04-03 /pmc/articles/PMC5400276/ /pubmed/28369103 http://dx.doi.org/10.1371/journal.pcbi.1005454 Text en © 2017 Otero-Muras et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Otero-Muras, Irene
Yordanov, Pencho
Stelling, Joerg
Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling
title Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling
title_full Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling
title_fullStr Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling
title_full_unstemmed Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling
title_short Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling
title_sort chemical reaction network theory elucidates sources of multistability in interferon signaling
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5400276/
https://www.ncbi.nlm.nih.gov/pubmed/28369103
http://dx.doi.org/10.1371/journal.pcbi.1005454
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