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作 者:林明哲[1] 杨桢 李欣[1] 郭海州 李晓琴[1] 姬发祥[1] 赵久达[1]
机构地区:[1]青海大学附属医院肿瘤内科,西宁市810000
出 处:《广西医学》2017年第11期1627-1630,1637,共5页Guangxi Medical Journal
基 金:青海省科技厅应用基础研究项目(2013-Z-734)
摘 要:目的筛选藏族胃癌患者术后复发相关的微小RNA(miRNA),并分析其靶基因及其功能。方法选取术后复发与未复发藏族胃癌患者各10例,收集其外周血标本,采用高通量测序方法获得miRNA的表达谱,利用Limma软件分析两组标本中差异表达的miRNA,预测其调控的靶基因并构建调控网络,并对靶基因进行生物学通路富集分析。结果共23个miRNA在复发与非复发两组标本中存在差异表达,其中9个miRNA上调表达、14个miRNA下调表达。共预测获得20个miRNA的922个靶基因;构建的调控网络中,调控下游靶基因数量最多的miRNA包括hsa-miR-21-5p、hsa-miR-93-5p及hsa-miR-196a-5p。miRNA靶基因参与的生物学通路包括DNA复制、细胞周期、丝裂原活化蛋白激酶信号通路等。结论多个miRNA在藏族胃癌患者术后复发中发挥作用,或可作为相关的分子标志物以评估患者预后。Objective To screen the postoperative recurrence related microRNA( miRNA) of gastric cancer patients with Zang nationality,and to analyze the target genes and function of those miRNAs. Methods The samples of peripheral blood were collected from10 recurrent gastric cancer patients with Zang nationality and 10 gastric cancer patients with Zang nationality without recurrence were selected,then the miRNA expression profiling was obtained by using high-throughput sequencing. The differentially expressed miRNAs in the two kinds of samples were assessed using Limma software. The target genes regulated by these miRNAs were predicted and a regulatory network was constructed. The biological pathways enrichment analysis for these target genes was performed. Results Of 23 differentially expressed miRNAs found between the samples of recurrent patients and non-recurrent patients,9 miRNAs were upregulated and 14 miRNAs were downregulated. A total of 922 target genes were predicted and obtained from 20 miRNAs. In the constructed regulatory network,the miRNAs regulating the largest number of downstream target genes regulated consisted of hsa-miR-21-5 p,hsa-miR-93-5 p and hsa-miR-196 a-5 p.The target genes of these miRNAs participated in the bioinformatic pathways including DNA replication,cell cycle and mitogen-activated protein kinase signal pathway. Conclusion Multiple miRNAs participate in the postoperative recurrence of gastric cancer patients with Zang nationality,and are probably taken as the relevant molecular markers for the evaluation of patients’ prognosis.
分 类 号:R394.3[医药卫生—医学遗传学] R735.2[医药卫生—基础医学]
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