Identification of a functional circRNA-miRNA-mRNA regulatory network in infantile hemangioma by bioinformatics analysis

Several circRNA have been reported to serve critical roles in various biological processes of human body. The present study aimed to build a circRNA-based competing endogenous RNA (ceRNA) network and explore the regulatory mechanisms of circRNA in infantile hemangiomas (IH). Differentially expressed circRNA, miRNA, and mRNA were downloaded from the gene expression synthesis (GEO) microarray database ({"type":"entrez-geo","attrs":{"text":"GSE98795","term_id":"98795"}}GSE98795, {"type":"entrez-geo","attrs":{"text":"GSE69136","term_id":"69136"}}GSE69136, and {"type":"entrez-geo","attrs":{"text":"GSE127487","term_id":"127487"}}GSE127487). Cancer-specific circRNA database (CSCD), miRDB and Targetscan were employed to predict the targets of RNA. A total of 855 DEcircRNAs, 69 differentially expressed miRNAs (DEmiRNAs), and 3233 differentially expressed mRNAs (DEmRNAs) appeared as genes that were aberrantly expressed in IH. The circRNA-miRNA-mRNA network was constructed based on 108 circRNAs, 7 miRNAs, 274 mRNAs in IH. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) pathway analysis indicated hypoxia-inducible factors (HIF)-1 signaling pathway and Notch signaling pathway were significantly enriched in IH with being constructed a ceRNA regulatory network. Furthermore, protein-protein interaction (PPI) network and Cytoscape showed the top 10 hub genes that regulate angiogenesis, namely FBXW7, CBLB, HECW2, FBXO32, FBXL7, KLHL5, EP300, MAPK1, MEF2C, and PLCG1. Our findings provide a deeper understanding the circRNA-related ceRNA regulatory mechanism in IH. This study further perfected the circRNA-miRNA-mRNA regulatory network related to IH and explored the potential function of mRNA in this network. It provides more understanding for the circRNA-related ceRNA regulation mechanism in the pathogenesis of IH.     

Effects of left ventricular assist device on heart failure patients: A bioinformatics analysis

With the acceleration of demographic aging, heart failure has become a global public health issue. Left ventricular assist device (LVAD) provides a therapeutic option serving as a bridge to transplantation or destination treatment for end-stage heart failure. However, neither the molecular mechanism nor the gene expression profile of LVAD pathophysiology is well understood. Microarray dataset ( GSE21610 ) was retrieved from the online database of the gene expression omnibus (GEO). Differentially expressed genes (DEGs) between microarrays obtained before and after LVAD therapy were analyzed using GEO2R. Gene Ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analysis were carried out, followed by protein–protein interaction (PPI) network construction, which was further visualized by the Cytoscape software. Finally, a target gene-microRNA (miRNA) network was built using the NetworkAnalyst to predict potential miRNA interactions. A total of 36 upregulated DEGs and 14 downregulated DEGs were screened out. Five hub genes with the highest degree of connectivity were identified, including CCL2, CX3CR1, CD163, TLR7, and SERPINE1. CCL2 was identified as the most outstanding hub gene which is specially regulated by miR-124, miR-141, and miR-495. Our study indicates that CCL2 is crucial to the LVAD pathophysiology. The identified hub genes may be involved in cardiac inflammatory responses, remodeling, and the chemokine signaling pathway. These DEGs, pathways, hub genes, miRNAs are valuable for further investigations. This study provides a better understanding of the gene expression profile in LVAD pathophysiology.     

运动损伤滑膜组织转录组数据分析及骨关节炎关键通路和特征基因

背景：研究表明,骨关节炎与滑膜炎密不可分,因此基于滑膜组织探索骨关节炎发病机制具有重要的临床意义。目的：基于生物信息学方法分析骨关节炎患者滑膜组织与正常人滑膜组织转录组数据,从滑膜角度探索骨关节炎的诊疗靶点,并为骨关节炎提供后续研究思路。方法：从Gene Expression Omnibus (GEO)数据库中筛选含有骨关节炎滑膜组织和健康滑膜组织的数据集,得到GSE55457和GSE55235数据集,2个数据集均包含有10个骨关节炎滑膜样本和健康者滑膜样本。用GEO2R在线工具分别对GSE55457和GSE55235数据集进行差异表达分析,取校正后P值(adj.P)<0.05的基因并通过在线工具仙桃学术取2个数据集共同的上调和下调差异表达基因。并对差异基因进行GO功能注释和KEGG通路富集分析。利用STRING数据库对差异基因进行核心蛋白互作网络分析(PPI),并使用Cytoscape软件中的插件CytoHubba中的7种算法(BottleNeck,Clossness,Degree,DNNC,EPC,NNC和MCC)对STRING结果进行可视化,每种算法取分数最高的前10个基因...     

哮喘相关基因与治疗药物的生物信息学分析

目的:通过生物信息学技术比较哮喘患者与健康人的基因芯片数据,初步鉴定与哮喘相关的基因以及治疗哮喘的潜在药物。方法:从基因表达数据库下载GSE74986基因芯片,使用GEO2R分析得出差异表达基因,采用Morpheus制作差异表达基因的热图;通过DAVID 6.8对差异表达基因进行基因本体及京都基因与基因组百科全书分析,使用String 10.5构建蛋白质-蛋白质相互作用网络,筛选核心基因。进一步使用Cytoscape 3.6.1的插件MCODE对差异表达基因进行模块分析。通过医学本体信息检索平台筛选治疗哮喘的小分子药物。结果:筛选出510个差异表达基因,包括29个上调基因和481个下调基因。差异表达基因生物过程与通路主要富集在染色质沉默、核糖核酸聚合酶Ⅱ启动子的转录调节、蛋白质转运、信使核糖核酸加工、核糖核酸剪接以及泛素介导的蛋白水解、内质网中的蛋白质加工、核糖核酸转运、髓样分化因子依赖性Toll样受体信号通路、血小板激活、核苷酸结合寡聚化结构域样受体信号通路等。共得出9个核心基因,包括T-复合蛋白1θ亚基(CCT8),T复合物蛋白1α亚单位(TCP1),26S蛋白酶调节亚单位S10B(PSMC6),热休克蛋白90α(HSP90A) A1,细胞周期蛋白C(CCNC),HSP90AB1,26S蛋白酶体非ATP酶调节亚基6(PSMD6),泛素特异性蛋白酶14(USP14),真核细胞翻译起始因子4E(EIF4E)。得出2个重要模块,模块里的基因主要涉及剪接体和泛素介导的蛋白水解、蛋白修饰以及核糖核酸修饰等生物过程。治疗哮喘的潜在小分子药物有茴香霉素和金雀异黄素等。结论:差异表达基因和核心基因促进了对哮喘发病分子机制的理解,为哮喘的诊治提供了潜在的基因靶标与治疗药物。     

基于TCGA数据库探究肾透明细胞癌关键基因的表达及预后作用

目的:探究肾透明细胞癌中关键基因的表达及预后作用,寻找潜在治疗靶点。方法:从TCGA数据库下载肾透明细胞癌mRNA的表达数据,通过Rstudio软件分析肿瘤与正常组织间差异表达基因,对差异表达基因进行富集分析、蛋白-蛋白相互作用网络构建,并分析出关键基因,最后对关键基因进行预后分析。结果:得到1 855个差异表达基因,其中有1 207个是上调的,648个是下调的,富集分析发现差异基因主要与信号转导、物质代谢、免疫反应等信号通路相关。筛选出10个关键基因中有6个存在预后价值。结论:筛选出的差异基因及信号通路可以帮助我们探索肾透明细胞癌发病的分子机制,同时为靶向治疗的研究提供潜在的理论依据。     

胶质母细胞瘤差异表达基因的生物信息学分析

目的:应用生物信息学方法挖掘胶质母细胞瘤(GBM)的相关基因,进而探讨发病机制,为GBM临床诊断和靶向治疗提供理论依据。方法:从GEO(Gene Expression Omnibus)数据库下载基因芯片数据集GSE4290和GSE15824,应用GEO2R筛选GBM的差异表达基因(DEGs)。采用DAVID数据库进行GO富集和KEGG通路富集分析,分别应用STRING数据库和Cytoscape软件构建蛋白质相互作用网络和关键基因模块,筛选GBM靶基因。进一步运用ONCOMINE数据库验证临床组织样本中靶基因与GBM的关系。结果:共筛选出76个DEGs,富集分析结果显示DEGs在血管生成的正调节、抗原的呈递和处理、信号转导、调节自噬等方面存在显著富集。共挖掘出POSTN、TAGLN、CALD1、EPCAM 4个GBM靶基因,经证实均在临床GBM组织样本中存在显著上调且靶基因的上调与患者的不良预后密切相关。结论:通过生物信息学共挖掘出4个与GBM显著相关的靶基因,可能是未来GBM发病机制、临床诊断、治疗的重要研究靶点。     

Improving outcomes in patients with ventricular assist devices transferred from outlying to tertiary care hospitals

In this retrospective study, the implant course and outcome of patients with ventricular assist devices (VADs) transferred from outlying "spoke" hospitals and converted nonsurgically to a device designed for ambulation at tertiary care "hub" hospitals are evaluated. Factors affecting the crucial decision to transfer and to convert devices have not previously been characterized. Data from 50 patients at 26 US hub institutions were voluntarily submitted to a VAD data registry at ABIOMED, between December 2003 and December 2005. The patients were transferred from 40 spokes on the BVS 5000 Blood Pump and converted to the AB5000 Ventricle (both ABIOMED) at hubs. Comparisons were made on implant indications, time-course, and end-organ function at the time of conversion between surviving patients and patients that had died. Patients who were transferred and converted had a survival to recovery or to next therapy rate of 42%. Eighteen of the surviving patients were still alive 30 days after the explant: 61% were weaned, 33% were transplanted, and 5.6% received a destination device. Average implant-to-transfer time was 1.5 vs. 2.0 days for 30-day survivors and expired patients, respectively, whereas support time from transfer to conversion was 4.8 vs. 4 days, respectively. At the time of device conversion, a total bilirubin below a threshold level of 3.5 mg/dL was predictive of 30-day survival (n = 26, p = .03, odds ratio = 2.73, 95% confidence interval: 1.22-6.16). Patients who survived 30 days were supported longer than those who died (35 vs. 21.1 days, p = .026). At least 18 patients recovered sufficiently on the AB5000 Ventricle to tolerate extubation and 11 patients were able to ambulate. Liver function after implant both at the spoke and before conversion at the hub may be a good indicator of patient survivability. Patients transferred from the BVS 5000 Blood Pump benefited from easy, safe conversion to the AB5000 Ventricle, which provided them with additional support time and afforded the opportunity to recover native heart function.