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A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq

Marek’s disease is a contagious lymphoproliferative disease of chickens and typical model of viral oncogenesis. Mapping changes or different states over the course of infection for both host and pathogen would provide important insights into dynamic host-pathogen interactions. Here we introduced 3′...

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Autores principales: Li, Jie, He, Liangliang, Zhang, Yun, Xue, Chunyi, Cao, Yongchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561256/
https://www.ncbi.nlm.nih.gov/pubmed/28819105
http://dx.doi.org/10.1038/s41598-017-08700-9
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author Li, Jie
He, Liangliang
Zhang, Yun
Xue, Chunyi
Cao, Yongchang
author_facet Li, Jie
He, Liangliang
Zhang, Yun
Xue, Chunyi
Cao, Yongchang
author_sort Li, Jie
collection PubMed
description Marek’s disease is a contagious lymphoproliferative disease of chickens and typical model of viral oncogenesis. Mapping changes or different states over the course of infection for both host and pathogen would provide important insights into dynamic host-pathogen interactions. Here we introduced 3′ end enriched RNA-seq as a novel method to study host-pathogen interactions in chicken embryo fibroblasts cells challenged with Marek’s disease virus. The method allowed accurate profiling of gene expression and alternative polyadenylation sites for host and pathogen simultaneously. We totally identified 476 differentially expressed genes and 437 APA switching genes in host, including switching in tandem 3′ UTRs and switching between coding region and 3′ UTR. Most of these genes were related to innate immunity, apoptosis and metabolism, but two sets of genes overlapped a little, suggesting two complementary mechanisms in gene regulation during MDV infection. In summary, our results provided a relatively comprehensive insight into dynamic host-pathogen interactions in regulation of gene transcription during infection of Marek’s disease virus and suggested that 3′ end enriched RNA-seq was a promising method to investigate global host-pathogen interactions.
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spelling pubmed-55612562017-08-21 A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq Li, Jie He, Liangliang Zhang, Yun Xue, Chunyi Cao, Yongchang Sci Rep Article Marek’s disease is a contagious lymphoproliferative disease of chickens and typical model of viral oncogenesis. Mapping changes or different states over the course of infection for both host and pathogen would provide important insights into dynamic host-pathogen interactions. Here we introduced 3′ end enriched RNA-seq as a novel method to study host-pathogen interactions in chicken embryo fibroblasts cells challenged with Marek’s disease virus. The method allowed accurate profiling of gene expression and alternative polyadenylation sites for host and pathogen simultaneously. We totally identified 476 differentially expressed genes and 437 APA switching genes in host, including switching in tandem 3′ UTRs and switching between coding region and 3′ UTR. Most of these genes were related to innate immunity, apoptosis and metabolism, but two sets of genes overlapped a little, suggesting two complementary mechanisms in gene regulation during MDV infection. In summary, our results provided a relatively comprehensive insight into dynamic host-pathogen interactions in regulation of gene transcription during infection of Marek’s disease virus and suggested that 3′ end enriched RNA-seq was a promising method to investigate global host-pathogen interactions. Nature Publishing Group UK 2017-08-17 /pmc/articles/PMC5561256/ /pubmed/28819105 http://dx.doi.org/10.1038/s41598-017-08700-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Jie
He, Liangliang
Zhang, Yun
Xue, Chunyi
Cao, Yongchang
A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq
title A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq
title_full A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq
title_fullStr A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq
title_full_unstemmed A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq
title_short A novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched RNA-seq
title_sort novel method for genome-wide profiling of dynamic host-pathogen interactions using 3′ end enriched rna-seq
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5561256/
https://www.ncbi.nlm.nih.gov/pubmed/28819105
http://dx.doi.org/10.1038/s41598-017-08700-9
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