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BackgroundPancreatic ductal adenocarcinoma (PDAC) is a fatal malignant tumor with an unfavorable prognosis. Increasing evidence indicated circRNAs were associated with the pathogenesis and progression of tumors, but data on the expression of serum exosomal circRNAs in PDAC are scarce. This study attempted to explore the prognostic value and function of serum exosomes in PDAC patients.MethodsMicroarray-based circRNA expression was determined in PDAC and paired with normal serum samples, and the intersection of differentially expressed circRNAs (DECs) in serum exosomal samples and GSE79634 tissue samples was conducted. A specific CircRNA database was applied to investigate DECs binding miRNAs. Target genes were predicted using the R package multiMiR. Cox regression analyses were applied for constructing a prognostic model. The immunological characteristics analysis was carried out through the TIMER, QUANTISEQ, XCELL, EPIC, and ssGSEA algorithms.Results15 DECs were finally identified, and a circRNA-miRNA-mRNA network was established. A prognostic risk model was developed to categorize patients according to the risk scores. Furthermore, the association between risk score and immune checkpoint genes including CD80, TNFSF9, CD276, CD274, LGALS9, and CD44 were significantly elevated in the high-risk group, while ICOSLG and ADORA2A were upregulated in the low-risk group.ConclusionsOur results may provide new clues for the prognosis and treatment of PDAC. 相似文献
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环状RNA(circRNA)可以通过竞争性结合微小RNA(miRNA),从而降低miRNA对其他靶标RNAs的抑制作用,进而间接调控其表达水平。这种竞争性关系代表了一种全新的基因调控机制,在癌症生理和发展中起重要作用。我们运用生物信息学的方法,对基因表达谱、circRNA探针谱重注释处理,并且结合MiRanda算法预测的miRNA靶点信息构建了竞争性内源RNA(ceRNA)网络,发现了五个与疾病相关的重要模块。其中通过hsa-miR-17-3p介导的CD74与hsa_circ_0001320,通过hsa-let-7a-2-3p介导的PAPSS2与hsa_circ_0000077两组ceRNA关系在椎间盘变性中起到重要的分子调控作用,从而成为潜在的临床标志物。进一步地,通过对靶基因的功能注释预测了这两个circRNA的生物学功能,其中明显与椎间盘炎症反应和骨发育相关,为临床基因检测预测疾病和药物靶点治疗提供依据并且也为椎间盘疾病的科学研究提供思路。 相似文献
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Hu Tao Qi Xiong Feng Zhang Nian Zhang Yang Liu Xiaojun Suo Xiaofeng Li Qianping Yang Mingxin Chen 《Genomics》2018,110(4):257-266
Circular RNAs (circRNAs) are a new class of non-coding RNAs in animals and are a novel target of non-coding RNA (ncRNA) regulation. The mechanism and function of circRNAs have been reported in some species and tissues. However, there is little available information on the functions of circRNAs in the goat reproductive system. In the present study, we deeply sequenced and analyzed circRNAs through bioinformatics to reveal the expression profiles, and predicted 13,950 circRNAs in the pre-ovulatory ovarian follicles of goats for the first time. Thirty-seven circRNAs were differentially expressed in the Boer goat compared with the Macheng black goat. The chi_circ_0008219 was involved in a vast circRNA-miRNA-mRNA co-expression network. Via a luciferase activity assay, chi_circ_0008219 is observed to sponge to 3 ovarian follicle-related miRNAs. These findings demonstrate that circRNAs have potential effects in the ovarian follicles of ewes and may represent a promising new research field in ovarian follicular development. 相似文献
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Yuhao Zhang Xiuchao Geng Jianglong Xu Qiang Li Liangchao Hao Zhaomu Zeng Menglin Xiao Jia Song Fulin Liu Chuan Fang Hong Wang 《Journal of cellular and molecular medicine》2021,25(15):7204-7217
This research systematically profiled the global N6-methyladenosine modification pattern of circular RNAs (circRNAs) in glioblastoma (GBM). Based on RNA methylation sequencing (MeRIP sequencing or N6-methyladenosine sequencing) and RNA sequencing, we described the N6-methyladenosine modification status and gene expression of circRNAs in GBM and normal brain tissues. N6-methyladenosine–related circRNAs were immunoprecipitated and validated by real-time quantitative PCR. Bioinformatics analysis and related screening were carried out. Compared with those of the NC group, the circRNAs from GBM exhibited 1370 new N6-methyladenosine peaks and 1322 missing N6-methyladenosine peaks. Among the loci associated with altered N6-methyladenosine peaks, 1298 were up-regulated and 1905 were down-regulated. The N6-methyladenosine level tended to be positively correlated with circRNA expression. Bioinformatics analysis was used to predict the biological function of N6-methyladenosine–modified circRNAs and the corresponding signalling pathways. In addition, through PCR validation combined with clinical data mining, we identified five molecules of interest (BUB1, C1S, DTHD1, F13A1 and NDC80) that could be initial candidates for further study of the function and mechanism of N6-methyladenosine–mediated GBM development. In conclusion, our findings demonstrated the N6-methyladenosine modification pattern of circRNAs in human GBM, revealing the possible roles of N6-methyladenosine–mediated novel noncoding RNAs in the origin and progression of GBM. 相似文献
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杨峰 《基因组学与应用生物学》2020,39(2):769-774
研究环状RNA ITGA7 (circITGA7)在心律失常大鼠心肌细胞中的表达,并探讨其对心律失常大鼠心肌细胞凋亡的影响及机制.40只SPF级SD雄性大鼠,分为4组,分别为假手术组、心律失常组、circITGA7干扰心律失常组和对照干扰心律失常组,尾静脉注射circITGA7干扰腺相关病毒构建circITGA7干扰大... 相似文献
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基于生物信息分析筛选结节性甲状腺肿中差异表达的环状RNA(circRNA),并揭示circRNA-miRNA-mRNA调控网络在结节性甲状腺肿中的作用。从GEO数据库中检索结节性甲状腺肿组织基因芯片数据,利用R软件筛选出差异表达的circRNA。联合多个生物信息数据库预测差异表达circRNA下游的miRNA及mRNA, 并对靶mRNA进行GO及KEGG富集分析。利用STRING在线数据库及Cytoscape软件筛选核心基因。确定了2个circRNA,42个miRNA及546个mRNA。GO及KEGG富集分析表明靶mRNA主要涉及细胞生长及基因表达调控过程。基于Cytoscape软件筛选出了14个核心基因(SP1、IGF1R、RPS6KB1、SMAD2、SMAD3、SMAD4、VEGFA、CCND1、CDK2、HSPA4、HIF1A、CREB1,NR3C1和STAT5A)。最终基于2个circRNA、11个miRNA和14个核心mRNA构建了circRNA-miRNA-mRNA调控网络。结节性甲状腺肿组织中异常表达的circRNA及相关的circRNA-miRNA-mRNA调控网络可能成为结节性甲状腺肿诊断与治疗的新靶点。 相似文献
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Ying Liang Niannian Liu Le Yang Jianjun Tang Yinglong Wang Meng Mei 《Current Genomics》2021,22(7):485
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Circular RNAs (circRNAs) from back-splicing of exon(s) have been recently identified to be broadly expressed in eukaryotes, in tissue- and species-specific manners. Although functions of most circRNAs remain elusive, some circRNAs are shown to be functional in gene expression regulation and potentially relate to diseases. Due to their stability, circRNAs can also be used as biomarkers for diagnosis. Profiling circRNAs by integrating their expression among different samples thus provides molecular basis for further functional study of circRNAs and their potential application in clinic. Here, we report CIRCpedia v2, an updated database for comprehensive circRNA annotation from over 180 RNA-seq datasets across six different species. This atlas allows users to search, browse, and download circRNAs with expression features in various cell types/tissues, including disease samples. In addition, the updated database incorporates conservation analysis of circRNAs between humans and mice. Finally, the web interface also contains computational tools to compare circRNA expression among samples. CIRCpedia v2 is accessible at http://www.picb.ac.cn/rnomics/circpedia. 相似文献
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