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Transcription profiles of the responses of chicken bursae of Fabricius to IBDV in different timing phases

Overview of attention for article published in Virology Journal, May 2017
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Title
Transcription profiles of the responses of chicken bursae of Fabricius to IBDV in different timing phases
Published in
Virology Journal, May 2017
DOI 10.1186/s12985-017-0757-x
Pubmed ID
Authors

Changbo Ou, Qiuxia Wang, Yanhong Zhang, Weili Kong, Shouping Zhang, Yan Yu, Jinyou Ma, Xingyou Liu, Xianghui Kong

Abstract

Infectious bursal disease virus (IBDV) infection causes immunosuppression in chickens and increases their susceptibility to secondary infections. To explore the interaction between host and IBDV, RNA-Seq was applied to analyse the transcriptional profiles of the responses of chickens' bursas of Fabricius in the early stage of IBDV infection. The results displayed that a total of 15546 genes were identified in the chicken bursa libraries. Among the annotated genes, there were 2006 and 4668 differentially expressed genes in the infection group compared with the mock group on day 1 and day 3 post inoculation (1 and 3 dpi), respectively. Moreover, there were 676 common up-regulated and 83 common down-regulated genes in the bursae taken from the chickens infected with IBDV on both 1 and 3 dpi. Meanwhile, there were also some characteristic differentially expressed genes on 1 and 3 dpi. On day 1 after inoculation with IBDV, host responses mainly displayed immune response processes, while metabolic pathways played an important role on day three post infection. Six genes were confirmed by quantitative reverse transcription-PCR. In conclusion, the differential gene expression profile demonstrated with RNA-Seq might offer a better understanding of the molecular interactions between host and IBDV during the early stage of infection.

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The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 17%
Student > Doctoral Student 3 17%
Lecturer 2 11%
Researcher 2 11%
Librarian 1 6%
Other 2 11%
Unknown 5 28%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 4 22%
Biochemistry, Genetics and Molecular Biology 3 17%
Immunology and Microbiology 2 11%
Agricultural and Biological Sciences 2 11%
Unspecified 1 6%
Other 0 0%
Unknown 6 33%