Integrated time-serial transcriptome networks reveal common innate and tissue-specific adaptive immune responses to PRRSV infection

Autor: Byeonghwi Lim, Sangwook Kim, Kyu-Sang Lim, Chang-Gi Jeong, Seung-Chai Kim, Sang-Myeong Lee, Choi-Kyu Park, Marinus F. W. te Pas, Haesu Gho, Tae-Hun Kim, Kyung-Tai Lee, Won-Il Kim, Jun-Mo Kim
Jazyk: angličtina
Rok vydání: 2020
Předmět:
Zdroj: Veterinary Research, Vol 51, Iss 1, Pp 1-18 (2020)
Druh dokumentu: article
ISSN: 1297-9716
DOI: 10.1186/s13567-020-00850-5
Popis: 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.
Databáze: Directory of Open Access Journals