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Gene expression profile of campylobacter jejuni-induced GBS in bama miniature pigs

机译:空肠弯曲杆菌诱导的GBS在巴马小型猪中的基因表达谱

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Our aim was to investigate the in vivo gene expression pattern of the Guillain-Barre syndrome (GBS) with DNA microarrays and bioinformatics tools. Oral-infusion model animals mimicking human infection of GBS were analyzed. Tissue samples and body fluids were collected to perform antibody tests and biopsy assays. Gene-expression microarray was conducted with nerve tissues and GBS-related genes were elucidated via bioinformatics tools. Model animals showed typical symptoms of GBS in that mild demyelination was shown by cerebellar white matter and by lumbar enlargement of model animals. Then, 81.25% of the model animals were positive with GM1-IgG antibodies by ELISA. In the microarray analysis, 1,261 genes were identified with statistically different expression (P < 0.05), 21 of which were associated with gene function analysis, gene pathway identification, signal transduction and co-expression network construction. Furthermore, quantitative PCR was used to characterize the gene expression level. We found that genes of HPRT1, PKC and PPARGC-1 were in the core of the network, while the expression of PPARGC-1, SUS2DD and AMPKA2 were significantly inhibited. A total of 21 genes were found to be actively involved in the process of protein transportation, transcriptional regulation, antigen identification and cell cycle regulation during the GBS infection period. The co-expression network indicated an important association between GBS and the 21 genes, especially the down-regulated ones. In conclusion, we demonstrated that GBS-affected hosts had a specific gene expression profile, which may guide the direction of GBS research and therapy.
机译:我们的目的是使用DNA微阵列和生物信息学工具研究格林巴利综合征(GBS)的体内基因表达模式。分析了模拟人感染GBS的口服模型动物。收集组织样品和体液以进行抗体测试和活检。用神经组织进行基因表达微阵列,并通过生物信息学工具阐明了与GBS相关的基因。模型动物表现出GBS的典型症状,即小脑白质和模型动物的腰部增大显示轻度脱髓鞘。然后,通过ELISA,81.25%的模型动物的GM1-IgG抗体是阳性的。在微阵列分析中,鉴定出1,261个具有统计学差异的基因(P <0.05),其中21个与基因功能分析,基因途径鉴定,信号转导和共表达网络构建相关。此外,定量PCR被用来表征基因表达水平。我们发现,HPRT1,PKC和PPARGC-1的基因是网络的核心,而PPARGC-1,SUS2DD和AMPKA2的表达却被显着抑制。共发现21个基因在GBS感染期间积极参与蛋白质运输,转录调控,抗原鉴定和细胞周期调控过程。共表达网络表明GBS和21个基因之间有重要的联系,尤其是下调的基因。总之,我们证明了受GBS影响的宿主具有特定的基因表达谱,这可能指导GBS研究和治疗的方向。

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