Analysis of long non-coding RNAs in neonatal piglets at different stages of porcine deltacoronavirus infection

Whole-Transcriptome Analysis Reveals the Regulatory Network of Immune Response in Dapulian Pig

There is a consensus that indigenous pigs in China are more resistant than modern commercial pigs in terms of disease resistance. Generally, the immune response is an important part of anti-disease capability; however, the related mechanism in pigs is largely puzzling. Here, the public transcriptome data of peripheral blood mononuclear cells (PBMCs) from Dapulian (Chinese local breed) and Landrace (Commercial breed) pigs after stimulation with polyinosinic-polycytidylic acid (poly I:C, a conventional reagent used for simulation of the viral infection) were reanalyzed, and the immune response mechanism in different pig breeds was investigated from a transcriptomic perspective. Of note, through comparative analyses of Dapulian and Landrace pigs, the candidate genes involved in swine broad-spectrum resistance were identified, such as TIMD4, RNF128 and VCAM1. In addition, after differential gene expression, target gene identification and functional enrichment analyses, a potential regulatory network of miRNA genes associated with immune response was obtained in Dapulian pigs, including five miRNAs and 12 genes (such as ssc-miR-181a, ssc-miR-486, IL1R1 and NFKB2). This work provides new insights into the immune response regulation of antiviral responses in indigenous and modern commercial pigs.

Emerging role of microRNAs and long non-coding RNAs in COVID-19 with implications to therapeutics

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection which is commonly known as COVID-19 (COronaVIrus Disease 2019) has creeped into the human population taking tolls of life and causing tremendous economic crisis. It is indeed crucial to gain knowledge about their characteristics and interactions with human host cells. It has been shown that the majority of our genome consists of non-coding RNAs. Non-coding RNAs including micro RNAs (miRNAs) and long non-coding RNAs (lncRNAs) display significant roles in regulating gene expression in almost all cancers and viral diseases. It is intriguing that miRNAs and lncRNAs remarkably regulate the function and expression of major immune components of SARS-CoV-2. MiRNAs act via RNA interference mechanism in which they bind to the complementary sequences of the viral RNA strand, inducing the formation of silencing complex that eventually degrades or inhibits the viral RNA and viral protein expression. LncRNAs have been extensively shown to regulate gene expression in cytokine storm and thus emerges as a critical target for COVID-19 treatment. These lncRNAs also act as competing endogenous RNAs (ceRNAs) by sponging miRNAs and thus affecting the expression of downstream targets during SARS-CoV-2 infection. In this review, we extensively discuss the role of miRNAs and lncRNAs, describe their mechanism of action and their different interacting human targets cells during SARS-CoV-2 infection. Finally, we discuss possible ways how an interference with their molecular function could be exploited for new therapies against SARS-CoV-2.

Identification and integrated analysis of lncRNAs and miRNAs in IPEC-J2 cells provide novel insight into the regulation of the innate immune response by PDCoV infection

Background

Noncoding RNAs (ncRNAs), including microRNAs (miRNAs) and long noncoding RNAs (lncRNAs), are pivotal regulators involved in the pathogenic mechanism of multiple coronaviruses. Porcine deltacoronavirus (PDCoV) has evolved multiple strategies to escape the innate immune response of host cells, but whether ncRNAs are involved in this process during PDCoV infection is still unknown.

Results

In this study, the expression profiles of miRNAs, lncRNAs and mRNAs in IPEC-J2 cells infected with PDCoV at 0, 12 and 24 hours postinfection (hpi) were identified through small RNA and RNA sequencing. The differentially expressed miRNAs (DEmiRNAs), lncRNAs (DElncRNAs) and mRNAs (DEmRNAs) were screened from the comparison group of IPEC-J2 cells at 0 and 12 hpi as well as the comparison group of IPEC-J2 cells at 12 and 24 hpi. The target genes of these DEncRNAs were predicted. The bioinformatics analysis of the target genes revealed multiple significantly enriched functions and pathways. Among them, the genes that were associated with innate immunity were specifically screened. The expression of innate immunity-related ncRNAs and mRNAs was validated by RT–qPCR. Competing endogenous RNA (ceRNA) regulatory networks among innate immunity-related ncRNAs and their target mRNAs were established. Moreover, we found that the replication of PDCoV was significantly inhibited by two innate immunity-related miRNAs, ssc-miR-30c-3p and ssc-miR-374b-3p, in IPEC-J2 cells.

Conclusions

This study provides a data platform to conduct studies of the pathogenic mechanism of PDCoV from a new perspective and will be helpful for further elucidation of the functional role of ncRNAs involved in PDCoV escaping the innate immune response.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12864-022-08722-2.

Isolation, characterization and transcriptome analysis of porcine deltacoronavirus strain HNZK-02 from Henan Province, China

Porcine deltacoronavirus (PDCoV), an emerging porcine enteropathogenic coronavirus, causes acute watery diarrhea and vomiting in piglets. Here, we isolated a strain of PDCoV from intestinal content of a piglet with severe watery diarrhea on a farm located in Henan Province, named PDCoV strain HNZK-02. Subsequently, the complete genomes of cell-cultured PDCoV HNZK-02 passage 5 and 15 were sequenced and analyzed. There was a continuous 3-nucleotide deletion and 7 amino acid changes in S genes when compared with the other reported PDCoVs. RNA sequencing (RNA-seq)-based transcriptome analysis was used to quantitatively identify differentially expressed genes after PDCoV infection in ST cells. In total, 523 differentially expressed genes (DEGs) were identified, including 62 upregulated genes and 457 downregulated genes. The 62 upregulated genes were associated with TNF signaling pathway, cytokine-cytokine receptor interaction, Toll-like receptor signaling pathway, IL-17 signaling, chemokine signaling pathway and NF-κB signaling pathway. The significant expressing changed genes, including three antiviral genes (Mx1, OASL, OAS1) and three inflammatory chemokine related genes (CCL5, CXCL8, CXCL10) were further validated using quantitative real-time RT-PCR (qRT-PCR) assay. It showed the consistent expression patterns of the candidate genes with those from RNA-seq. Our results demonstrated that PDCoV infection activates NF-κB signaling pathway and leads to the expression of inflammatory factors, which may be related to TLRs but TLR2 is not a critical factor.In general, these results can help us to confirm the molecular regulation mechanism and also provide us a comprehensive resource of PDCoV infection.

The interface between coronaviruses and host cell RNA biology: Novel potential insights for future therapeutic intervention

Coronaviruses, including SARS-Cov-2, are RNA-based pathogens that interface with a large variety of RNA-related cellular processes during infection. These processes include capping, polyadenylation, localization, RNA stability, translation, and regulation by RNA binding proteins or noncoding RNA effectors. The goal of this article is to provide an in-depth perspective on the current state of knowledge of how various coronaviruses interact with, usurp, and/or avoid aspects of these cellular RNA biology machineries. A thorough understanding of how coronaviruses interact with RNA-related posttranscriptional processes in the cell should allow for new insights into aspects of viral pathogenesis as well as identify new potential avenues for the development of anti-coronaviral therapeutics. This article is categorized under: RNA in Disease and Development > RNA in Disease.