Ontology highlight
ABSTRACT:
PROVIDER: PRJNA556282 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10742607_1.fastq.gz | Fastqsanger.gz | |||
| SRR10742607_2.fastq.gz | Fastqsanger.gz | |||
| SRR10742650_1.fastq.gz | Fastqsanger.gz | |||
| SRR10742650_2.fastq.gz | Fastqsanger.gz | |||
| SRR9763527_1.fastq.gz | Fastqsanger.gz |
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Project description:Data from the IAH/VLA diagnostic pathogen/virus detection microarray. The array platform for this data is GEO accession GPL5725 (provisional), and consists of 5824 oligos representing over 100 viral families, species and subtypes. The data set itself consists of 12 arrays, 4 hybridised with RNA from cell cultured foot-and-mouth disease virus (FMDV) type O, 3 hybridised with RNA from FMDV type A, 1 hybridised with RNA from a sheep infected with FMDV type O, and 4 hybridised with cell-cultured Avian Infectious Bronchitis virus (IBV). Keywords: Virus Detection Microarray
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Project description:Background: Avian infectious bronchitis virus (IBV) was an major respiratory disease-causing agents that lead to significant losses in birds. Dendritic cells (DCs), an major antigen-presenting cells, influence viruses pathogenicity as well as host immune response. Expression of host non-coding mRNA changes markedly during infectious bronchitis virus (IBV) infection of avian, but their role in regulating host immune function to defend IBV infection has not been explored. Here, microarray, including mRNAs, miRNAs and lncRNAs, were analysed to better understand the interaction between IBV and avian DCs. Results: Firstly, we found that IBV infection can effectively induce avian DCs to become mature. Interestingly, inactivated IBV possess high ability in inducing DC maturation and activating lymphocytes than that in actived IBV stimulated group. Then, result identified that IBV infection induced 1093 upregulated and 845 downregulated mRNAs in avian DCs. Analysis of Gene Ontology suggested that celluar macromolecule and protein location (GO-BP), as well as transcription factor binding (GO-MF) were abundance in IBV infected group. Whilst, pathway analyses suggested that oxidative phosphorylation and T cell receptor signalling pathways might activated in IBV group. Moreover, microRNA (miRNA) and long non-coding RNA (lncRNA) alterations in IBV-stimulated avian DCs were observed. A total of 19 significantly altered (7 up and 12 down) miRNAs and 101 (75 up and 26 down) lncRNAs were identified in IBV-stimulated DCs. Furtherly insight analyses not only gain that regulation of actin cytoskeleton and MAPK signal pathway were contributed to IBV stimulated miRNAs target genes, but also build an regulatory networks based on co-expressed lncRNA and mRNA. Finally, our study identified 2 TF-miRNA (CEBPA-miR1772 and CEBPA-miR21), which we based on to constructed 53 transcription factor (TF)–miRNA–mRNA interactions involving 1 TF, 2 miRNAs, and 53 mRNAs in IBV-stimulated avian DCs.
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