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A Systems Model of Phosphorylation for Inflammatory Signaling Events
Phosphorylation is a fundamental biochemical reaction that modulates protein activity in cells. While a single phosphorylation event is relatively easy to understand, multisite phosphorylation requires systems approaches for deeper elucidation of the underlying molecular mechanisms. In this paper we...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205014/ https://www.ncbi.nlm.nih.gov/pubmed/25333362 http://dx.doi.org/10.1371/journal.pone.0110913 |
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author | Sadreev, Ildar I. Chen, Michael Z. Q. Welsh, Gavin I. Umezawa, Yoshinori Kotov, Nikolay V. Valeyev, Najl V. |
author_facet | Sadreev, Ildar I. Chen, Michael Z. Q. Welsh, Gavin I. Umezawa, Yoshinori Kotov, Nikolay V. Valeyev, Najl V. |
author_sort | Sadreev, Ildar I. |
collection | PubMed |
description | Phosphorylation is a fundamental biochemical reaction that modulates protein activity in cells. While a single phosphorylation event is relatively easy to understand, multisite phosphorylation requires systems approaches for deeper elucidation of the underlying molecular mechanisms. In this paper we develop a mechanistic model for single- and multi-site phosphorylation. The proposed model is compared with previously reported studies. We compare the predictions of our model with experiments published in the literature in the context of inflammatory signaling events in order to provide a mechanistic description of the multisite phosphorylation-mediated regulation of Signal Transducer and Activator of Transcription 3 (STAT3) and Interferon Regulatory Factor 5 (IRF-5) proteins. The presented model makes crucial predictions for transcription factor phosphorylation events in the immune system. The model proposes potential mechanisms for T cell phenotype switching and production of cytokines. This study also provides a generic framework for the better understanding of a large number of multisite phosphorylation-regulated biochemical circuits. |
format | Online Article Text |
id | pubmed-4205014 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-42050142014-10-27 A Systems Model of Phosphorylation for Inflammatory Signaling Events Sadreev, Ildar I. Chen, Michael Z. Q. Welsh, Gavin I. Umezawa, Yoshinori Kotov, Nikolay V. Valeyev, Najl V. PLoS One Research Article Phosphorylation is a fundamental biochemical reaction that modulates protein activity in cells. While a single phosphorylation event is relatively easy to understand, multisite phosphorylation requires systems approaches for deeper elucidation of the underlying molecular mechanisms. In this paper we develop a mechanistic model for single- and multi-site phosphorylation. The proposed model is compared with previously reported studies. We compare the predictions of our model with experiments published in the literature in the context of inflammatory signaling events in order to provide a mechanistic description of the multisite phosphorylation-mediated regulation of Signal Transducer and Activator of Transcription 3 (STAT3) and Interferon Regulatory Factor 5 (IRF-5) proteins. The presented model makes crucial predictions for transcription factor phosphorylation events in the immune system. The model proposes potential mechanisms for T cell phenotype switching and production of cytokines. This study also provides a generic framework for the better understanding of a large number of multisite phosphorylation-regulated biochemical circuits. Public Library of Science 2014-10-21 /pmc/articles/PMC4205014/ /pubmed/25333362 http://dx.doi.org/10.1371/journal.pone.0110913 Text en © 2014 Sadreev 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Sadreev, Ildar I. Chen, Michael Z. Q. Welsh, Gavin I. Umezawa, Yoshinori Kotov, Nikolay V. Valeyev, Najl V. A Systems Model of Phosphorylation for Inflammatory Signaling Events |
title | A Systems Model of Phosphorylation for Inflammatory Signaling Events |
title_full | A Systems Model of Phosphorylation for Inflammatory Signaling Events |
title_fullStr | A Systems Model of Phosphorylation for Inflammatory Signaling Events |
title_full_unstemmed | A Systems Model of Phosphorylation for Inflammatory Signaling Events |
title_short | A Systems Model of Phosphorylation for Inflammatory Signaling Events |
title_sort | systems model of phosphorylation for inflammatory signaling events |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4205014/ https://www.ncbi.nlm.nih.gov/pubmed/25333362 http://dx.doi.org/10.1371/journal.pone.0110913 |
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