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Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin

BACKGROUND: Upon antigen encounter, naïve B lymphocytes differentiate into antibody-secreting plasma cells. This humoral immune response is suppressed by the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and other dioxin-like compounds, which belong to the family of aryl hydro...

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Autores principales: Zhang, Qiang, Bhattacharya, Sudin, Kline, Douglas E, Crawford, Robert B, Conolly, Rory B, Thomas, Russell S, Kaminski, Norbert E, Andersen, Melvin E
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859749/
https://www.ncbi.nlm.nih.gov/pubmed/20359356
http://dx.doi.org/10.1186/1752-0509-4-40
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author Zhang, Qiang
Bhattacharya, Sudin
Kline, Douglas E
Crawford, Robert B
Conolly, Rory B
Thomas, Russell S
Kaminski, Norbert E
Andersen, Melvin E
author_facet Zhang, Qiang
Bhattacharya, Sudin
Kline, Douglas E
Crawford, Robert B
Conolly, Rory B
Thomas, Russell S
Kaminski, Norbert E
Andersen, Melvin E
author_sort Zhang, Qiang
collection PubMed
description BACKGROUND: Upon antigen encounter, naïve B lymphocytes differentiate into antibody-secreting plasma cells. This humoral immune response is suppressed by the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and other dioxin-like compounds, which belong to the family of aryl hydrocarbon receptor (AhR) agonists. RESULTS: To achieve a better understanding of the immunotoxicity of AhR agonists and their associated health risks, we have used computer simulations to study the behavior of the gene regulatory network underlying B cell terminal differentiation. The core of this network consists of two coupled double-negative feedback loops involving transcriptional repressors Bcl-6, Blimp-1, and Pax5. Bifurcation analysis indicates that the feedback network can constitute a bistable system with two mutually exclusive transcriptional profiles corresponding to naïve B cells and plasma cells. Although individual B cells switch to the plasma cell state in an all-or-none fashion when stimulated by the polyclonal activator lipopolysaccharide (LPS), stochastic fluctuations in gene expression make the switching event probabilistic, leading to heterogeneous differentiation response among individual B cells. Moreover, stochastic gene expression renders the dose-response behavior of a population of B cells substantially graded, a result that is consistent with experimental observations. The steepness of the dose response curve for the number of plasma cells formed vs. LPS dose, as evaluated by the apparent Hill coefficient, is found to be inversely correlated to the noise level in Blimp-1 gene expression. Simulations illustrate how, through AhR-mediated repression of the AP-1 protein, TCDD reduces the probability of LPS-stimulated B cell differentiation. Interestingly, stochastic simulations predict that TCDD may destabilize the plasma cell state, possibly leading to a reversal to the B cell phenotype. CONCLUSION: Our results suggest that stochasticity in gene expression, which renders a graded response at the cell population level, may have been exploited by the immune system to launch humoral immune response of a magnitude appropriately tuned to the antigen dose. In addition to suppressing the initiation of the humoral immune response, dioxin-like compounds may also disrupt the maintenance of the acquired immunity.
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spelling pubmed-28597492010-04-27 Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin Zhang, Qiang Bhattacharya, Sudin Kline, Douglas E Crawford, Robert B Conolly, Rory B Thomas, Russell S Kaminski, Norbert E Andersen, Melvin E BMC Syst Biol Research article BACKGROUND: Upon antigen encounter, naïve B lymphocytes differentiate into antibody-secreting plasma cells. This humoral immune response is suppressed by the environmental contaminant 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) and other dioxin-like compounds, which belong to the family of aryl hydrocarbon receptor (AhR) agonists. RESULTS: To achieve a better understanding of the immunotoxicity of AhR agonists and their associated health risks, we have used computer simulations to study the behavior of the gene regulatory network underlying B cell terminal differentiation. The core of this network consists of two coupled double-negative feedback loops involving transcriptional repressors Bcl-6, Blimp-1, and Pax5. Bifurcation analysis indicates that the feedback network can constitute a bistable system with two mutually exclusive transcriptional profiles corresponding to naïve B cells and plasma cells. Although individual B cells switch to the plasma cell state in an all-or-none fashion when stimulated by the polyclonal activator lipopolysaccharide (LPS), stochastic fluctuations in gene expression make the switching event probabilistic, leading to heterogeneous differentiation response among individual B cells. Moreover, stochastic gene expression renders the dose-response behavior of a population of B cells substantially graded, a result that is consistent with experimental observations. The steepness of the dose response curve for the number of plasma cells formed vs. LPS dose, as evaluated by the apparent Hill coefficient, is found to be inversely correlated to the noise level in Blimp-1 gene expression. Simulations illustrate how, through AhR-mediated repression of the AP-1 protein, TCDD reduces the probability of LPS-stimulated B cell differentiation. Interestingly, stochastic simulations predict that TCDD may destabilize the plasma cell state, possibly leading to a reversal to the B cell phenotype. CONCLUSION: Our results suggest that stochasticity in gene expression, which renders a graded response at the cell population level, may have been exploited by the immune system to launch humoral immune response of a magnitude appropriately tuned to the antigen dose. In addition to suppressing the initiation of the humoral immune response, dioxin-like compounds may also disrupt the maintenance of the acquired immunity. BioMed Central 2010-04-01 /pmc/articles/PMC2859749/ /pubmed/20359356 http://dx.doi.org/10.1186/1752-0509-4-40 Text en Copyright ©2010 Zhang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research article
Zhang, Qiang
Bhattacharya, Sudin
Kline, Douglas E
Crawford, Robert B
Conolly, Rory B
Thomas, Russell S
Kaminski, Norbert E
Andersen, Melvin E
Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin
title Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin
title_full Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin
title_fullStr Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin
title_full_unstemmed Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin
title_short Stochastic Modeling of B Lymphocyte Terminal Differentiation and Its Suppression by Dioxin
title_sort stochastic modeling of b lymphocyte terminal differentiation and its suppression by dioxin
topic Research article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2859749/
https://www.ncbi.nlm.nih.gov/pubmed/20359356
http://dx.doi.org/10.1186/1752-0509-4-40
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