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Identification of potential gene targets in systemic vasculitis using DNA microarray analysis

机译:使用DNA微阵列分析鉴定全身血管炎潜在基因靶标

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The present study aimed to identify the involvement of critical genes in systemic vasculitis, to gain an improved understanding of the molecular circuity and to investigate novel potential gene targets for systemic vasculitis treatment. The dual-color cDNA microarray data of GSE16945, consisting of peripheral mononuclear blood cell specimens from 13 patients with systemic vasculitis and 16 healthy controls, was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened in systemic vasculitis compared with controls using BRB ArrayTools, followed by the construction of a protein-protein interaction (PPI) network using the clusterProfiler package, and significant functional interaction (FI) module selection. Furthermore, transcriptional factors (TFs) among the identified DEGs were predicted and a transcriptional regulation network was constructed. A total of 173 up-and 93 downregulated genes were identified, which were mainly associated with immune response pathways. FBJ murine osteosarcoma viral oncogene homolog (FOS), ubiquitin B (UBB), signal transducer and activator of transcription 1 (STAT1) and MX dynamin-like GTPase 1 (MX1) were identified as hub proteins in the PPI network. Furthermore, UBB, FOS, and STAT1 were hub proteins in the three identified FI modules, respectively. In total, nine TFs were predicted among the DEGs. Of the DEGs that were predicted to be TFs, STAT1, v-maf avian musculoaponeurotic fibrosarcoma oncogene homolog B (MAFB) and tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein Z (YWHAZ), which interacted with each other, were identified to regulate further DEGs as target genes. Various genes, including FOS, UBB, MX1, STAT1, MAFB, and YWHAZ may be potential targets useful for the treatment of systemic vasculitis.
机译:本研究旨在鉴定临界基因在全身血管炎中的参与,提高对分子循环的改善,并调查新的全身血管炎治疗潜在基因靶标。 GSE16945的双彩cDNA微阵列数据,由来自13例全身血管炎和16例健康对照组成的外周单核血细胞标本,从基因表达式综合数据库下载。与使用BRB Arraytools的对照相比,在全身血管炎中筛选差异表达基因(DEGS),然后使用簇使蛋白质 - 蛋白质相互作用(PPI)网络,以及显着的功能性交互(FI)模块选择。此外,预测了所识别的DEG中的转录因子(TFS),构建了转录调节网络。鉴定了总共173升和93个下调基因,其主要与免疫应答途径有关。 FBJ鼠骨肉瘤病毒癌基因同源物(FOS),泛素B(UBB),信号传感器和转录1(STAT1)和MX发电机样GTP酶1(MX1)的活化剂被鉴定为PPI网络中的轮蛋白。此外,UBB,FOS和Stat1分别是三个鉴定的FI模块中的轮毂蛋白。总共预测了九个TFS。预计是TFS的DED1,V-MAF禽肌肉蔗糖蛋白纤维肉瘤癌症和酪氨酸3-单氧基酶/色氨酸5-单氧基酶活化蛋白Z(YWHAZ)彼此相互作用,鉴定到调节进一步的靶基因。各种基因,包括FOS,UBB,MX1,STAT1,MAFB和YWHAZ可能是可用于治疗系统性血管炎的潜在目标。

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