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Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae

We used cDNA microarrays to identify differentially expressed genes in mice in response to infections with influenza virus A/PR/8/34 (H1N1) and Streptococcus pneumoniae. Expression microarray analysis showed up-regulation and down-regulation of many genes involved in the defense, inflammatory respon...

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Detalles Bibliográficos
Autores principales: Zhang, Hong, Su, Yan A., Hu, Peisheng, Yang, Jun, Zheng, Biyu, Wu, Peter, Peng, Jingzhong, Tang, Yanlin, Zhang, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier SAS. 2006
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110625/
https://www.ncbi.nlm.nih.gov/pubmed/16797204
http://dx.doi.org/10.1016/j.micinf.2006.04.018
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author Zhang, Hong
Su, Yan A.
Hu, Peisheng
Yang, Jun
Zheng, Biyu
Wu, Peter
Peng, Jingzhong
Tang, Yanlin
Zhang, Lin
author_facet Zhang, Hong
Su, Yan A.
Hu, Peisheng
Yang, Jun
Zheng, Biyu
Wu, Peter
Peng, Jingzhong
Tang, Yanlin
Zhang, Lin
author_sort Zhang, Hong
collection PubMed
description We used cDNA microarrays to identify differentially expressed genes in mice in response to infections with influenza virus A/PR/8/34 (H1N1) and Streptococcus pneumoniae. Expression microarray analysis showed up-regulation and down-regulation of many genes involved in the defense, inflammatory response and intracellular signaling pathways including chemokine, apoptosis, MAPK, Notch, Jak-STAT, T-cell receptor and complement and coagulation cascades. We have revealed signature patterns of gene expression in mice infected with two different classes of pathogens: influenza virus A and S. pneumoniae. Quantitative real-time RT-PCR results confirmed microarray results for most of the genes tested. These studies document clear differences in gene expression profiles between mice infected with influenza virus A and S. pneumoniae. Identification of genes that are differentially expressed after respiratory infections can provide insights into the mechanisms by which the host interacts with different pathogens, useful information about stage of diseases and selection of suitable targets for early diagnosis and treatments. The advantage of this novel approach is that the detection of pathogens is based on the differences in host gene expression profiles in response to different pathogens instead of detecting pathogens directly.
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spelling pubmed-71106252020-04-02 Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae Zhang, Hong Su, Yan A. Hu, Peisheng Yang, Jun Zheng, Biyu Wu, Peter Peng, Jingzhong Tang, Yanlin Zhang, Lin Microbes Infect Article We used cDNA microarrays to identify differentially expressed genes in mice in response to infections with influenza virus A/PR/8/34 (H1N1) and Streptococcus pneumoniae. Expression microarray analysis showed up-regulation and down-regulation of many genes involved in the defense, inflammatory response and intracellular signaling pathways including chemokine, apoptosis, MAPK, Notch, Jak-STAT, T-cell receptor and complement and coagulation cascades. We have revealed signature patterns of gene expression in mice infected with two different classes of pathogens: influenza virus A and S. pneumoniae. Quantitative real-time RT-PCR results confirmed microarray results for most of the genes tested. These studies document clear differences in gene expression profiles between mice infected with influenza virus A and S. pneumoniae. Identification of genes that are differentially expressed after respiratory infections can provide insights into the mechanisms by which the host interacts with different pathogens, useful information about stage of diseases and selection of suitable targets for early diagnosis and treatments. The advantage of this novel approach is that the detection of pathogens is based on the differences in host gene expression profiles in response to different pathogens instead of detecting pathogens directly. Elsevier SAS. 2006-07 2006-06-02 /pmc/articles/PMC7110625/ /pubmed/16797204 http://dx.doi.org/10.1016/j.micinf.2006.04.018 Text en Copyright © 2006 Elsevier SAS. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Zhang, Hong
Su, Yan A.
Hu, Peisheng
Yang, Jun
Zheng, Biyu
Wu, Peter
Peng, Jingzhong
Tang, Yanlin
Zhang, Lin
Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae
title Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae
title_full Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae
title_fullStr Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae
title_full_unstemmed Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae
title_short Signature patterns revealed by microarray analyses of mice infected with influenza virus A and Streptococcus pneumoniae
title_sort signature patterns revealed by microarray analyses of mice infected with influenza virus a and streptococcus pneumoniae
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7110625/
https://www.ncbi.nlm.nih.gov/pubmed/16797204
http://dx.doi.org/10.1016/j.micinf.2006.04.018
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