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      Robust dynamic balance of AP-1 transcription factors in a neuronal gene regulatory network

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          Abstract

          Background

          The octapeptide Angiotensin II is a key hormone that acts via its receptor AT1R in the brainstem to modulate the blood pressure control circuits and thus plays a central role in the cardiac and respiratory homeostasis. This modulation occurs via activation of a complex network of signaling proteins and transcription factors, leading to changes in levels of key genes and proteins. AT1R initiated activity in the nucleus tractus solitarius (NTS), which regulates blood pressure, has been the subject of extensive molecular analysis. But the adaptive network interactions in the NTS response to AT1R, plausibly related to the development of hypertension, are not understood.

          Results

          We developed and analyzed a mathematical model of AT1R-activated signaling kinases and a downstream gene regulatory network, with structural basis in our transcriptomic data analysis and literature. To our knowledge, our report presents the first computational model of this key regulatory network. Our simulations and analysis reveal a dynamic balance among distinct dimers of the AP-1 family of transcription factors. We investigated the robustness of this behavior to simultaneous perturbations in the network parameters using a novel multivariate approach that integrates global sensitivity analysis with decision-tree methods. Our analysis implicates a subset of Fos and Jun dependent mechanisms, with dynamic sensitivities shifting from Fos-regulating kinase (FRK)-mediated processes to those downstream of c-Jun N-terminal kinase (JNK). Decision-tree analysis indicated that while there may be a large combinatorial functional space feasible for neuronal states and parameters, the network behavior is constrained to a small set of AP-1 response profiles. Many of the paths through the combinatorial parameter space lead to a dynamic balance of AP-1 dimer forms, yielding a robust AP-1 response counteracting the biological variability.

          Conclusions

          Based on the simulation and analysis results, we demonstrate that a dynamic balance among distinct dimers of the AP-1 family of transcription factors underlies the robust activation of neuronal gene expression in the NTS response to AT1R activation. Such a differential sensitivity to limited set of mechanisms is likely to underlie the stable homeostatic physiological response.

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          Most cited references37

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          AP-1 function and regulation.

          AP-1 (activating protein-1) is a collective term referring to dimeric transcription factors composed of Jun, Fos or ATF (activating transcription factor) subunits that bind to a common DNA site, the AP-1-binding site. As the complexity of our knowledge of AP-1 factors has increased, our understanding of their physiological function has decreased. This trend, however, is beginning to be reversed due to the recent studies of gene-knockout mice and cell lines deficient in specific AP-1 components. Such studies suggest that different AP-1 factors may regulate different target genes and thus execute distinct biological functions. Also, the involvement of AP-1 factors in functions such as cell proliferation and survival has been made somewhat clearer as a result of such studies. In addition, there has been considerable progress in understanding some of the mechanisms and signaling pathways involved in the regulation of AP-1 activity. In addition to regulation by heterodimerization between Jun, Fos and ATF proteins, AP-1 activity is regulated through interactions with specific protein kinases and a variety of transcriptional coactivators.
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            Making best use of model evaluations to compute sensitivity indices

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              Negative feedback and ultrasensitivity can bring about oscillations in the mitogen-activated protein kinase cascades.

              Functional organization of signal transduction into protein phosphorylation cascades, such as the mitogen-activated protein kinase (MAPK) cascades, greatly enhances the sensitivity of cellular targets to external stimuli. The sensitivity increases multiplicatively with the number of cascade levels, so that a tiny change in a stimulus results in a large change in the response, the phenomenon referred to as ultrasensitivity. In a variety of cell types, the MAPK cascades are imbedded in long feedback loops, positive or negative, depending on whether the terminal kinase stimulates or inhibits the activation of the initial level. Here we demonstrate that a negative feedback loop combined with intrinsic ultrasensitivity of the MAPK cascade can bring about sustained oscillations in MAPK phosphorylation. Based on recent kinetic data on the MAPK cascades, we predict that the period of oscillations can range from minutes to hours. The phosphorylation level can vary between the base level and almost 100% of the total protein. The oscillations of the phosphorylation cascades and slow protein diffusion in the cytoplasm can lead to intracellular waves of phospho-proteins.
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                Author and article information

                Journal
                BMC Syst Biol
                BMC Systems Biology
                BioMed Central
                1752-0509
                2010
                17 December 2010
                : 4
                : 171
                Affiliations
                [1 ]Daniel Baugh Institute for Functional Genomics and Computational Biology,Department of Pathology, Anatomy and Cell Biology, Thomas Jefferson University Philadelphia, PA, 19107, USA
                [2 ]Department of Chemical Engineering, University of Delaware Newark, DE, 19716, USA
                Article
                1752-0509-4-171
                10.1186/1752-0509-4-171
                3019179
                21167049
                d1854308-e1bc-440c-ba37-a697d0d0b549
                Copyright ©2010 Miller et al; licensee BioMed Central Ltd.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License (<url>http://creativecommons.org/licenses/by/2.0</url>), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 July 2010
                : 17 December 2010
                Categories
                Research Article

                Quantitative & Systems biology
                Quantitative & Systems biology

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