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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Main Authors: Irene Otero-Muras, Pencho Yordanov, Joerg Stelling
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-04-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1005454
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spelling doaj-6fa92fc328e64bbba43d4d67b60e0b8b2021-04-21T15:02:25ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582017-04-01134e100545410.1371/journal.pcbi.1005454Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling.Irene Otero-MurasPencho YordanovJoerg StellingBistability 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.https://doi.org/10.1371/journal.pcbi.1005454
collection DOAJ
language English
format Article
sources DOAJ
author Irene Otero-Muras
Pencho Yordanov
Joerg Stelling
spellingShingle Irene Otero-Muras
Pencho Yordanov
Joerg Stelling
Chemical Reaction Network Theory elucidates sources of multistability in interferon signaling.
PLoS Computational Biology
author_facet Irene Otero-Muras
Pencho Yordanov
Joerg Stelling
author_sort Irene Otero-Muras
title 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_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_sort chemical reaction network theory elucidates sources of multistability in interferon signaling.
publisher Public Library of Science (PLoS)
series PLoS Computational Biology
issn 1553-734X
1553-7358
publishDate 2017-04-01
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.
url https://doi.org/10.1371/journal.pcbi.1005454
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AT joergstelling chemicalreactionnetworktheoryelucidatessourcesofmultistabilityininterferonsignaling
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