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Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis

BACKGROUND: Network biology (systems biology) approaches are useful tools for elucidating the host infection processes that often accompany complex immune networks. Although many studies have recently focused on Haemophilus parasuis, a model of Gram-negative bacterium, little attention has been paid...

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Autores principales: Zhao, Ming, Liu, Xiang-dong, Li, Xin-yun, Chen, Hong-bo, Jin, Hui, Zhou, Rui, Zhu, Meng-jin, Zhao, Shu-hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610166/
https://www.ncbi.nlm.nih.gov/pubmed/23339624
http://dx.doi.org/10.1186/1471-2164-14-46
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author Zhao, Ming
Liu, Xiang-dong
Li, Xin-yun
Chen, Hong-bo
Jin, Hui
Zhou, Rui
Zhu, Meng-jin
Zhao, Shu-hong
author_facet Zhao, Ming
Liu, Xiang-dong
Li, Xin-yun
Chen, Hong-bo
Jin, Hui
Zhou, Rui
Zhu, Meng-jin
Zhao, Shu-hong
author_sort Zhao, Ming
collection PubMed
description BACKGROUND: Network biology (systems biology) approaches are useful tools for elucidating the host infection processes that often accompany complex immune networks. Although many studies have recently focused on Haemophilus parasuis, a model of Gram-negative bacterium, little attention has been paid to the host's immune response to infection. In this article, we use network biology to investigate infection with Haemophilus parasuis in an in vivo pig model. RESULTS: By targeting the spleen immunogenome, we established an expression signature indicative of H. parasuis infection using a PCA/GSEA combined method. We reconstructed the immune network and estimated the network topology parameters that characterize the immunogene expressions in response to H. parasuis infection. The results showed that the immune network of H. parasuis infection is compartmentalized (not globally linked). Statistical analysis revealed that the reconstructed network is scale-free but not small-world. Based on the quantitative topological prioritization, we inferred that the C1R-centered clique might play a vital role in responding to H. parasuis infection. CONCLUSIONS: Here, we provide the first report of reconstruction of the immune network in H. parasuis-infected porcine spleen. The distinguishing feature of our work is the focus on utilizing the immunogenome for a network biology-oriented analysis. Our findings complement and extend the frontiers of knowledge of host infection biology for H. parasuis and also provide a new clue for systems infection biology of Gram-negative bacilli in mammals.
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spelling pubmed-36101662013-03-29 Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis Zhao, Ming Liu, Xiang-dong Li, Xin-yun Chen, Hong-bo Jin, Hui Zhou, Rui Zhu, Meng-jin Zhao, Shu-hong BMC Genomics Research Article BACKGROUND: Network biology (systems biology) approaches are useful tools for elucidating the host infection processes that often accompany complex immune networks. Although many studies have recently focused on Haemophilus parasuis, a model of Gram-negative bacterium, little attention has been paid to the host's immune response to infection. In this article, we use network biology to investigate infection with Haemophilus parasuis in an in vivo pig model. RESULTS: By targeting the spleen immunogenome, we established an expression signature indicative of H. parasuis infection using a PCA/GSEA combined method. We reconstructed the immune network and estimated the network topology parameters that characterize the immunogene expressions in response to H. parasuis infection. The results showed that the immune network of H. parasuis infection is compartmentalized (not globally linked). Statistical analysis revealed that the reconstructed network is scale-free but not small-world. Based on the quantitative topological prioritization, we inferred that the C1R-centered clique might play a vital role in responding to H. parasuis infection. CONCLUSIONS: Here, we provide the first report of reconstruction of the immune network in H. parasuis-infected porcine spleen. The distinguishing feature of our work is the focus on utilizing the immunogenome for a network biology-oriented analysis. Our findings complement and extend the frontiers of knowledge of host infection biology for H. parasuis and also provide a new clue for systems infection biology of Gram-negative bacilli in mammals. BioMed Central 2013-01-22 /pmc/articles/PMC3610166/ /pubmed/23339624 http://dx.doi.org/10.1186/1471-2164-14-46 Text en Copyright ©2013 Zhao 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
Zhao, Ming
Liu, Xiang-dong
Li, Xin-yun
Chen, Hong-bo
Jin, Hui
Zhou, Rui
Zhu, Meng-jin
Zhao, Shu-hong
Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis
title Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis
title_full Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis
title_fullStr Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis
title_full_unstemmed Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis
title_short Systems infection biology: a compartmentalized immune network of pig spleen challenged with Haemophilus parasuis
title_sort systems infection biology: a compartmentalized immune network of pig spleen challenged with haemophilus parasuis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3610166/
https://www.ncbi.nlm.nih.gov/pubmed/23339624
http://dx.doi.org/10.1186/1471-2164-14-46
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