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1.
Microb Pathog ; 190: 106633, 2024 May.
Artigo em Inglês | MEDLINE | ID: mdl-38554778

RESUMO

Interferon-stimulated gene product 15 (ISG15) can be conjugated to substrates through ISGylation. Currently, the E3 ligase for porcine ISGylation remains unclear. Here, we identified porcine HERC5 and HERC6 (pHERC5/6) as ISGylation E3 ligases with pHERC6 acting as a major one by reconstitution of porcine ISGylation system in HEK-293 T cell via co-transfecting E1, E2 and porcine ISG15(pISG15) genes. Meanwhile, our data demonstrated that co-transfection of pISG15 and pHERC5/6 was sufficient to confer ISGylation, suggesting E1 and E2 of ISGylation are interchangeable between human and porcine. Using an immunoprecipitation based ISGylation analysis, our data revealed pHERC6 was a substrate for ISGylation and confirmed that K707 and K993 of pHERC6 were auto-ISGylation sites. Mutation of these sites reduced pHERC6 half-life and inhibited ISGylation, suggesting that auto-ISGylation of pHERC6 was required for effective ISGylation. Conversely, sustained ISGylation induced by overexpression of pISG15 and pHERC6 could be inhibited by a well-defined porcine ISGylation antagonist, the ovarian tumor (OTU) protease domain of Porcine Reproductive and Respiratory Syndrome Virus (PRRSV)-nsp2 and PRRSV-nsp1ß, further indicating such method could be used for identification of virus-encoded ISG15 antagonist. In conclusion, our study contributes new insights towards porcine ISGylation system and provides a novel tool for screening viral-encoded ISG15 antagonist.


Assuntos
Ubiquitina-Proteína Ligases , Ubiquitinas , Animais , Ubiquitina-Proteína Ligases/metabolismo , Ubiquitina-Proteína Ligases/genética , Suínos , Humanos , Células HEK293 , Ubiquitinas/metabolismo , Ubiquitinas/genética , Vírus da Síndrome Respiratória e Reprodutiva Suína/metabolismo , Vírus da Síndrome Respiratória e Reprodutiva Suína/genética , Citocinas/metabolismo , Ubiquitinação , Proteínas não Estruturais Virais/metabolismo , Proteínas não Estruturais Virais/genética
2.
Viruses ; 10(3)2018 03 18.
Artigo em Inglês | MEDLINE | ID: mdl-29562634

RESUMO

The present study aimed to identify differentially expressed genes (DEGs) and major signal transduction pathways that were related to the immune response of epithelioma papulosum cyprinid (EPC) cells to reoviruses isolated from allogynogenetic silver crucian carp. The study also lays a theoretical foundation for the pathogenesis and immunity of the reovirus, which is helpful to the breeding of cyprinids fish. Reovirus infected and uninfected EPC cells were analyzed by using a new-generation high-throughput sequencing technology. DEGs were identified, annotated, and classified, and the signal pathways involved in the response to reovirus infection were identified by using bioinformatics tool. The data were assembled into 92,101 contigs with an average length of 835.24 bp and an N50 value of 1432 nt. Differential expression analysis of all the genes identified 3316 DEGs at a false discovery rate (FDR) of <0.01 and a fold-change of ≥3, of which 1691 were upregulated genes, 1625 were downregulated, and about 305 were immune-related genes. Gene Ontology (GO) enrichment analysis resulted in the annotation of 3941 GO terms, including 2719 biological processes (37,810 unigenes), 376 cell components (7943 unigenes), and 846 molecular functions (11,750 unigenes). KEGG metabolic pathway analysis matched the DEGs from pre-and post-infection EPC cells to 193 pathways, of which 35 were immune-related, including the Toll-like receptor, cytokine-cytokine receptor interaction, and the JAK-STAT signaling pathways.


Assuntos
Carpas/virologia , Doenças dos Peixes/genética , Doenças dos Peixes/virologia , Interações Hospedeiro-Patógeno/genética , Infecções por Reoviridae/veterinária , Reoviridae/fisiologia , Transcriptoma , Animais , Carcinoma , Linhagem Celular Tumoral , Biologia Computacional/métodos , Perfilação da Expressão Gênica , Sequenciamento de Nucleotídeos em Larga Escala , Anotação de Sequência Molecular , Polimorfismo de Nucleotídeo Único , Análise de Sequência de DNA
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