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Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data

Bordetella pertussis (B. pertussis) is the causative agent of pertussis, also referenced as whooping cough. Although pertussis has been appropriately controlled by routine immunization of infants, it has experienced a resurgence since the beginning of the 21st century. Given that elucidating the imm...

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Autores principales: Deng, Nan, Ramirez, Juan C., Carey, Michelle, Miao, Hongyu, Arias, Cesar A., Rice, Andrew P., Wu, Hulin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6579965/
https://www.ncbi.nlm.nih.gov/pubmed/31236525
http://dx.doi.org/10.1016/j.idm.2019.06.001
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author Deng, Nan
Ramirez, Juan C.
Carey, Michelle
Miao, Hongyu
Arias, Cesar A.
Rice, Andrew P.
Wu, Hulin
author_facet Deng, Nan
Ramirez, Juan C.
Carey, Michelle
Miao, Hongyu
Arias, Cesar A.
Rice, Andrew P.
Wu, Hulin
author_sort Deng, Nan
collection PubMed
description Bordetella pertussis (B. pertussis) is the causative agent of pertussis, also referenced as whooping cough. Although pertussis has been appropriately controlled by routine immunization of infants, it has experienced a resurgence since the beginning of the 21st century. Given that elucidating the immune response to pertussis is a crucial factor to improve therapeutic and preventive treatments, we re-analyzed a time course microarray dataset of B. pertussis infection by applying a newly developed dynamic data analysis pipeline. Our results indicate that the immune response to B. pertussis is highly dynamic and heterologous across different organs during infection. Th1 and Th17 cells, which are two critical types of T helper cell populations in the immune response to B. pertussis, and follicular T helper cells (TFHs), which are also essential for generating antibodies, might be generated at different time points and distinct locations after infection. This phenomenon may indicate that different lymphoid organs may have their unique functions during infection. These findings provide a better understanding of the basic immunology of bacterial infection, which may provide valuable insights for the improvement of pertussis vaccine design in the future.
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spelling pubmed-65799652019-06-24 Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data Deng, Nan Ramirez, Juan C. Carey, Michelle Miao, Hongyu Arias, Cesar A. Rice, Andrew P. Wu, Hulin Infect Dis Model Original Research Article Bordetella pertussis (B. pertussis) is the causative agent of pertussis, also referenced as whooping cough. Although pertussis has been appropriately controlled by routine immunization of infants, it has experienced a resurgence since the beginning of the 21st century. Given that elucidating the immune response to pertussis is a crucial factor to improve therapeutic and preventive treatments, we re-analyzed a time course microarray dataset of B. pertussis infection by applying a newly developed dynamic data analysis pipeline. Our results indicate that the immune response to B. pertussis is highly dynamic and heterologous across different organs during infection. Th1 and Th17 cells, which are two critical types of T helper cell populations in the immune response to B. pertussis, and follicular T helper cells (TFHs), which are also essential for generating antibodies, might be generated at different time points and distinct locations after infection. This phenomenon may indicate that different lymphoid organs may have their unique functions during infection. These findings provide a better understanding of the basic immunology of bacterial infection, which may provide valuable insights for the improvement of pertussis vaccine design in the future. KeAi Publishing 2019-06-07 /pmc/articles/PMC6579965/ /pubmed/31236525 http://dx.doi.org/10.1016/j.idm.2019.06.001 Text en © 2019 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Research Article
Deng, Nan
Ramirez, Juan C.
Carey, Michelle
Miao, Hongyu
Arias, Cesar A.
Rice, Andrew P.
Wu, Hulin
Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data
title Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data
title_full Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data
title_fullStr Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data
title_full_unstemmed Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data
title_short Investigation of temporal and spatial heterogeneities of the immune responses to Bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data
title_sort investigation of temporal and spatial heterogeneities of the immune responses to bordetella pertussis infection in the lung and spleen of mice via analysis and modeling of dynamic microarray gene expression data
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6579965/
https://www.ncbi.nlm.nih.gov/pubmed/31236525
http://dx.doi.org/10.1016/j.idm.2019.06.001
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