| Literature DB >> 33365028 |
Elisa Crisci1, Marco Moroldo1, Thien-Phong Vu Manh2, Ammara Mohammad3, Laurent Jourdren3, Celine Urien4, Edwige Bouguyon4, Elise Bordet4, Claudia Bevilacqua1, Mickael Bourge5, Jérémy Pezant6, Alexis Pléau6, Olivier Boulesteix6, Isabelle Schwartz4, Nicolas Bertho4, Elisabetta Giuffra1.
Abstract
Porcine reproductive and respiratory syndrome (PRRS) has an extensive impact on pig production. The causative virus (PRRSV) is divided into two species, PRRSV-1 (European origin) and PRRSV-2 (North American origin). Within PRRSV-1, PRRSV-1.3 strains, such as Lena, are more pathogenic than PRRSV-1.1 strains, such as Flanders 13 (FL13). To date, the molecular interactions of PRRSV with primary lung mononuclear phagocyte (MNP) subtypes, including conventional dendritic cells types 1 (cDC1) and 2 (cDC2), monocyte-derived DCs (moDC), and pulmonary intravascular macrophages (PIM), have not been thoroughly investigated. Here, we analyze the transcriptome profiles of in vivo FL13-infected parenchymal MNP subpopulations and of in vitro FL13- and Lena-infected parenchymal MNP. The cell-specific expression profiles of in vivo sorted cells correlated with their murine counterparts (AM, cDC1, cDC2, moDC) with the exception of PIM. Both in vivo and in vitro, FL13 infection altered the expression of a low number of host genes, and in vitro infection with Lena confirmed the higher ability of this strain to modulate host response. Machine learning (ML) and gene set enrichment analysis (GSEA) unraveled additional relevant genes and pathways modulated by FL13 infection that were not identified by conventional analyses. GSEA increased the cellular pathways enriched in the FL13 data set, but ML allowed a more complete comprehension of functional profiles during FL13 in vitro infection. Data indicates that cellular reprogramming differs upon Lena and FL13 infection and that the latter might keep antiviral and inflammatory macrophage/DC functions silent. Although the slow replication kinetics of FL13 likely contribute to differences in cellular gene expression, the data suggest distinct mechanisms of interaction of the two viruses with the innate immune system during early infection.Entities:
Keywords: PRRSV-1; gene expression; immunogenomics; lung mononuclear phagocytes; machine learning; pig
Year: 2020 PMID: 33365028 PMCID: PMC7750501 DOI: 10.3389/fimmu.2020.588411
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561