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作 者:路会玲[1] 林盪[1] LU Hui-ling;LIN Dang(Department of Respiratory and Critical Care Medicine,Suzhou Municipal Hospital,Suzhou,Jiangsu,215001,China)
机构地区:[1]苏州市立医院呼吸与危重症科,江苏苏州215001
出 处:《中国血液流变学杂志》2020年第4期411-415,共5页Chinese Journal of Hemorheology
摘 要:目的使用生物信息学分析非小细胞肺癌(NSCLC)血浆外泌体miRNA差异表达情况,寻找可作为NSCLC生物标志物的miRNA.方法从GEO数据库寻找符合要求的芯片数据集,分析在NSCLC血浆外泌体中异常表达的miRNA.利用TCGA数据库对筛选出的miRNA进行生存分析,确认其生物标记物潜力.使用数据库对筛选出的miRNA进行靶基因预测及功能预测.结果从GSE114711数据集,筛选出差异表达最明显的miR-141,生存分析表明miR-141能够影响NSCLC患者的生存.利用TarBase,TargetScan和microT-CDS对miR-141进行靶基因预测,得到59个靶基因,对它们进行功能分析发现,它们可能影响肿瘤细胞的迁移和侵袭、增殖和凋亡等.结论利用生物信息学发现,miR-141在早期NSCLC患者血浆外泌体中异常表达,通过调控靶基因,影响多项生理生化功能,不利于患者生存,可成为早期NSCLC的生物标志物.Objective Bioinformatics was used to analyze the differential expression of plasma exosomal miRNA to find miRNA that could be used as a biomarker of NSCLC.Methods Microarray data sets conforming to the requirements were searched from the GEO database to analyze the abnormal expression of miRNAs in NSCLC plasma exosomes.TCGA database was used for survival analysis of selected miRNAs to confirm their biomarker potential.Other databases were used to predict target genes and function of miRNAs screened.Results MiR-141 was screened as the most differently expressed miRNA in early stage NSCLC from GSE114711.The survival analysis showed that miR-141 could affect the survival of NSCLC patients.TarBase,TargetScan and microT-CDS predicted 59 target genes of miR-141.Function analysis showed the predicted target genes might affect the migration,invasion,proliferation or apoptosis of tumor cells.Conclusion The bioinformatics analysis revealed miR-141 was abnormally expressed in plasma exosomes of early NSCLC patients.MiR-141 could affect multiple physiological and biochemical functions through the regulation of target genes,which is not conducive to the survival of patients and can be used as a biomarker of early NSCLC.
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