Integrated time-serial transcriptome networks reveal common innate and tissue-specific adaptive immune responses to PRRSV infectionopen access
- Authors
- Lim, Byeonghwi; Kim, Sangwook; Lim, Kyu-Sang; Jeong, Chang-Gi; Kim, Seung-Chai; Lee, Sang-Myeong; Park, Choi-Kyu; te Pas, Marinus F. W.; Gho, Haesu; Kim, Tae-Hun; Lee, Kyung-Tai; Kim, Won-Il; Kim, Jun-Mo
- Issue Date
- Oct-2020
- Publisher
- BMC
- Keywords
- adaptive immunity; gene co-expression network; innate immunity; integrated transcriptomes; porcine reproductive and respiratory syndrome virus
- Citation
- VETERINARY RESEARCH, v.51, no.1
- Journal Title
- VETERINARY RESEARCH
- Volume
- 51
- Number
- 1
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/53838
- DOI
- 10.1186/s13567-020-00850-5
- ISSN
- 0928-4249
1297-9716
- Abstract
- Porcine reproductive and respiratory syndrome virus (PRRSV) infection is the most important viral disease causing severe economic losses in the swine industry. However, mechanisms underlying gene expression control in immunity-responsible tissues at different time points during PRRSV infection are poorly understood. We constructed an integrated gene co-expression network and identified tissue- and time-dependent biological mechanisms of PRRSV infection through bioinformatics analysis using three tissues (lungs, bronchial lymph nodes [BLNs], and tonsils) via RNA-Seq. Three groups with specific expression patterns (i.e., the 3-dpi, lung, and BLN groups) were discovered. The 3 dpi-specific group showed antiviral and innate-immune signalling similar to the case for influenza A infection. Moreover, we observed adaptive immune responses in the lung-specific group based on various cytokines, while the BLN-specific group showed down-regulated AMPK signalling related to viral replication. Our study may provide comprehensive insights into PRRSV infection, as well as useful information for vaccine development.
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