Comprehensive Genomic Characterization Analysis of lncRNAs in Cells With Porcine Delta Coronavirus Infection

Título

Comprehensive Genomic Characterization Analysis of lncRNAs in Cells With Porcine Delta Coronavirus Infection

Autor

Junli Liu, Fangfang Wang, Liuyang Du, Juan Li, Tianqi Yu, Yulan Jin, Yan Yan, Ji-Yong Zhou, Jin-Yan Gu

Descripción

Porcine delta coronavirus (PDCoV) is a novel emerging enterocytetropic virus causing diarrhea, vomiting, dehydration, and mortality in suckling piglets. Long non-coding RNAs (lncRNAs) are known to be important regulators during virus infection. Here, we describe a comprehensive transcriptome profile of lncRNA in PDCoV-infected swine testicular (ST) cells. In total, 1,308 annotated and 1,190 novel lncRNA candidate sequences were identified. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that these lncRNAs might be involved in numerous biological processes. Clustering analysis of differentially expressed lncRNAs showed that 454 annotated and 376 novel lncRNAs were regulated after PDCoV infection. Furthermore, we constructed a lncRNA-protein-coding gene co-expression interaction network. The KEGG analysis of the co-expressed genes showed that these differentially expressed lncRNAs were enriched in pathways related to metabolism and TNF signaling. Our study provided comprehensive information about lncRNAs that would be a useful resource for studying the pathogenesis of and designing antiviral therapy for PDCoV infection.

Fecha

2020

Materia

PDCoV infection, RNA-Seq, lncRNA, TNF, metabolic pathway

Identificador

DOI: 10.3389/fmicb.2019.03036

Fuente

Frontiers in Microbiology

Editor

Frontiers Media S.A.

Cobertura

Microbiology

Idioma

EN

Archivos

https://socictopen.socict.org/files/to_import/pdfs/article 1331.pdf

Colección

Citación

Junli Liu, Fangfang Wang, Liuyang Du, Juan Li, Tianqi Yu, Yulan Jin, Yan Yan, Ji-Yong Zhou, Jin-Yan Gu, “Comprehensive Genomic Characterization Analysis of lncRNAs in Cells With Porcine Delta Coronavirus Infection,” SOCICT Open, consulta 20 de abril de 2026, https://socictopen.socict.org/items/show/1291.

Formatos de Salida

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