BackgroundAquareovirus particle is comprised of central core and outer capsid, which is built by seven structural proteins (VP1-VP7). The protein VP6 has been identified to be a clamp protein of stabilizing inner core frame VP3, and bridging outer shell protein VP5. However, the biological properties of VP6 in viral life cycle remain unknown.ResultsThe recombinant VP6 (rVP6) of aquareovirus was expressed in E. coli, and the polyclonal antibody against VP6 was generated by using purified rVP6 in this study. Following the preparation of VP6 antibody, the VP6 component in aquareovirus infected cells and purified viral particles was detected by Immunoblotting (IB) assay. Furthermore, using Immunofluorescence (IF) microscopy, singly transfected VP6 protein was observed to exhibit a diffuse distribution mainly in the cytoplasm, while it appeared inclusion phenotype in infected cells. Meanwhile, inclusion structures were also identified when VP6 was coexpressed with nonstructural protein NS80 in cotransfected cells.ConclusionsVP6 can be recruited by NS80 to its inclusions in both infected and transfected cells. The colocalization of VP6 and NS80 is corresponding to their homologous proteins σ2 and μNS in MRV. Our results suggest that VP6 may play a significant role in viral replication and particle assembly.
Objective Systemic Juvenile Idiopathic Arthritis (sJIA) is a distinctive subtype of Juvenile Idiopathic Arthritis (JIA). The pathogenesis of sJIA is still unclear with the treatment options limited. Although previous bioinformatics analyses have identified some genetic factors underlying sJIA, these studies were mostly single center with a small sample size and the results were often inconsistent. Herein, we combined two datasets of GSE20307 and GSE21521 and select the matrix of patients diagnosed as sJIA in it for further analysis. Methods The GSE20307 and GSE21521 matrixs downloaded from the Gene Expression Omnibus (GEO) were analyzed using online-tool GEO2R, Venny, Metascape, STRING, and Cytoscape to identify differentially expressed genes (DEGs), enrichment pathways, protein-protein interaction (PPI), main Module and hub genes between sJIA individuals and healthy controls. Results A total of 289 overlapping genes (consisting of 41 downregulated genes and 248 upregulated genes) were identified. Hub genes were primarily related to erythropoiesis. And the KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis of overlapping DEGs were maily involved in Malaria and non-small cell lung cancer. Besides, DEGs in main module were involved in ubiquitin mediated proteolysis. Conclusions our study suggests that the erythropoiesis signature indeed exists in sJIA similar to previous reports. And combining previous research and our results, we provide a basis for the application of proteasome inhibitors, hydroxychloroquine and kinase inhibitors in patients with sJIA from the perspective of bioinformatics.
Background: To analyze the clinical characteristics of IgG4 related diseases (IgG4-RD), identify the most commonly used therapeutic drugs, and explore the potential tumor markers of IgG4-RD. Methods: 92 patients with IgG4 related diseases hospitalized in the Affiliated Hospital of Qingdao University from January 1, 2017 to December 31, 2021 were selected as the research object through the Yidu cloud system. Their clinical data were summarized and analyzed to summarize the clinical characteristics of IgG4-RD.Results: The age of diagnosis of IgG4 related diseases in this group was 31-84 years old, and the average age of diagnosis was (58.098 ± 11.344) years old, including 65 males (70.65%) and 27 females (29.35%). The most frequently involved organs and tissues were lymph nodes (37 cases, accounting for 40.2%), pancreas (33 cases, accounting for 35.9%), and salivary glands (31 cases, accounting for 33.7%). In this group, 28 cases (30.4%) were involved in single organ tissue, 32 cases (34.8%) were involved in double organ and multiple organ, respectively. 91 patients were treated with hormone for IgG4 related diseases, and 71 patients were treated with immunosuppressive agents, of which 45 cases were treated with cyclophosphamide (63.38%). In this group, the proportion of IgG4 level greater than 40g / L in tumor patients (18.18%) was significantly higher than that in non tumor patients (1.23%) (P < 0.05). Conclusion: The incidence of IgG4 related diseases is more common in middle-aged and elderly men, and the patients with lymph node, salivary gland and pancreas are more common. About 2 / 3 of the patients are double organ and multi organ patients. The most common rheumatic complications in patients with IgG4-RD are primary biliary cirrhosis, rheumatoid arthritis and Sjogren's syndrome. The most common tumor in patients with IgG4-RD is malignant tumor of digestive system. IgG4 levels greater than 40g/l in patients with IgG4 related diseases may be a potential indicator for predicting IgG4-RD associated tumors.
Systemic Juvenile Idiopathic Arthritis (sJIA) is a distinctive subtype of Juvenile Idiopathic Arthritis (JIA). The pathogenesis of sJIA is still unclear with the limited treatment options. Although previous bioinformatics analyses have identified some genetic factors underlying sJIA, these studies were mostly single centre with a small sample size and the results were often inconsistent. Herein, we combined two data sets of GSE20307 and GSE21521 and select the matrix of patients diagnosed as sJIA in it for further analysis. The GSE20307 and GSE21521 matrixes downloaded from the Gene Expression Omnibus (GEO) were analysed using online tools GEO2R, Venny, Metascape, STRING and Cytoscape to identify differentially expressed genes (DEGs), enrichment pathways, protein–protein interaction (PPI), main module and hub genes between sJIA individuals and healthy controls. A total of 289 overlapping genes (consisting of 41 downregulated genes and 248 upregulated genes) were identified. Hub genes were primarily related to erythropoiesis. And the KEGG (Kyoto Encyclopedia of Genes and Genomes) analysis of overlapping DEGs were mainly involved in malaria and non‐small cell lung cancer. Besides, DEGs in main module were involved in ubiquitin‐mediated proteolysis. Our study suggests that the erythropoiesis signature indeed exists in sJIA similar to previous reports. And ubiquitin‐mediated proteolysis is important in sJIA.
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