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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2017-04-01
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Series: | PLoS Computational Biology |
Online Access: | https://doi.org/10.1371/journal.pcbi.1005454 |
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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 |
work_keys_str_mv |
AT ireneoteromuras chemicalreactionnetworktheoryelucidatessourcesofmultistabilityininterferonsignaling AT penchoyordanov chemicalreactionnetworktheoryelucidatessourcesofmultistabilityininterferonsignaling AT joergstelling chemicalreactionnetworktheoryelucidatessourcesofmultistabilityininterferonsignaling |
_version_ |
1714668040288731136 |