22
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A Systems Model of Phosphorylation for Inflammatory Signaling Events

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          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.

          Related collections

          Most cited references50

          • Record: found
          • Abstract: found
          • Article: not found

          IRF5 promotes inflammatory macrophage polarization and TH1-TH17 responses.

          Polymorphisms in the gene encoding the transcription factor IRF5 that lead to higher mRNA expression are associated with many autoimmune diseases. Here we show that IRF5 expression in macrophages was reversibly induced by inflammatory stimuli and contributed to the plasticity of macrophage polarization. High expression of IRF5 was characteristic of M1 macrophages, in which it directly activated transcription of the genes encoding interleukin 12 subunit p40 (IL-12p40), IL-12p35 and IL-23p19 and repressed the gene encoding IL-10. Consequently, those macrophages set up the environment for a potent T helper type 1 (T(H)1)-T(H)17 response. Global gene expression analysis demonstrated that exogenous IRF5 upregulated or downregulated expression of established phenotypic markers of M1 or M2 macrophages, respectively. Our data suggest a critical role for IRF5 in M1 macrophage polarization and define a previously unknown function for IRF5 as a transcriptional repressor.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            The JAK-STAT signaling pathway: input and output integration.

            Universal and essential to cytokine receptor signaling, the JAK-STAT pathway is one of the best understood signal transduction cascades. Almost 40 cytokine receptors signal through combinations of four JAK and seven STAT family members, suggesting commonality across the JAK-STAT signaling system. Despite intense study, there remain substantial gaps in understanding how the cascades are activated and regulated. Using the examples of the IL-6 and IL-10 receptors, I will discuss how diverse outcomes in gene expression result from regulatory events that effect the JAK1-STAT3 pathway, common to both receptors. I also consider receptor preferences by different STATs and interpretive problems in the use of STAT-deficient cells and mice. Finally, I consider how the suppressor of cytokine signaling (SOCS) proteins regulate the quality and quantity of STAT signals from cytokine receptors. New data suggests that SOCS proteins introduce additional diversity into the JAK-STAT pathway by adjusting the output of activated STATs that alters downstream gene activation.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              The biochemical basis of an all-or-none cell fate switch in Xenopus oocytes.

              Xenopus oocytes convert a continuously variable stimulus, the concentration of the maturation-inducing hormone progesterone, into an all-or-none biological response-oocyte maturation. Here evidence is presented that the all-or-none character of the response is generated by the mitogen-activated protein kinase (MAPK) cascade. Analysis of individual oocytes showed that the response of MAPK to progesterone or Mos was equivalent to that of a cooperative enzyme with a Hill coefficient of at least 35, more than 10 times the Hill coefficient for the binding of oxygen to hemoglobin. The response can be accounted for by the intrinsic ultrasensitivity of the oocyte's MAPK cascade and a positive feedback loop in which the cascade is embedded. These findings provide a biochemical rationale for the all-or-none character of this cell fate switch.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                21 October 2014
                : 9
                : 10
                : e110913
                Affiliations
                [1 ]Centre for Systems, Dynamics and Control, College of Engineering, Mathematics and Physical Sciences, University of Exeter, Harrison Building, Exeter, United Kingdom
                [2 ]Department of Mechanical Engineering, The University of Hong Kong, Hong Kong, China
                [3 ]Academic Renal Unit, School of Clinical Sciences, University of Bristol, Dorothy Hodgkin Building, Bristol, United Kingdom
                [4 ]Department of Dermatology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan
                [5 ]Biophysics and Bionics Lab, Institute of Physics, Kazan Federal University, Kazan, Russia
                Yong Loo Lin School of Medicine, National University of Singapore, Singapore
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: IIS MZQC GIW YU NVK NVV. Performed the experiments: IIS NVK NVV. Analyzed the data: IIS MZQC GIW YU NVK NVV. Wrote the paper: IIS MZQC GIW YU NVK NVV.

                Article
                PONE-D-14-31615
                10.1371/journal.pone.0110913
                4205014
                25333362
                ad40e7b1-eeaf-4c49-b25f-0fcc368814f8
                Copyright @ 2014

                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 credited.

                History
                : 16 July 2014
                : 19 September 2014
                Page count
                Pages: 11
                Funding
                This work was carried out under SATRE grant (NVV and GIW) and NSFC grant 61374053 (MZQC). This work was funded by the subsidy of the Russian Government to support the Program of Competitive Growth of Kazan Federal University among World's Leading Academic Centers (NVV). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Biochemistry
                Biochemical Simulations
                Biophysics
                Biophysical Simulations
                Computational Biology
                Immunology
                Immune Response
                Immunity
                Synthetic Biology
                Systems Biology
                Theoretical Biology
                Computer and Information Sciences
                Systems Science
                Custom metadata
                The authors confirm that all data underlying the findings are fully available without restriction. All relevant data are within the paper.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article