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miR-363靶基因预测及生物信息学分析
引用本文:李文衢,石晓燕,吕珊珊,黄 雷,付子毅,贾雪梅.miR-363靶基因预测及生物信息学分析[J].南京医科大学学报,2015(7):911-917.
作者姓名:李文衢  石晓燕  吕珊珊  黄 雷  付子毅  贾雪梅
作者单位:南京医科大学第一临床医学院,江苏 南京 210029,南京医科大学附属南京市妇幼保健院妇科,江苏 南京 210004,南京中医药大学第一临床医学院,江苏 南京 210029,南京医科大学第一临床医学院,江苏 南京 210029,南京医科大学附属南京市妇幼保健院妇科,江苏 南京 210004,南京医科大学附属南京市妇幼保健院妇科,江苏 南京 210004
基金项目:国家自然科学基金(81401182;81302304)
摘    要:目的:初步明确hsa-miR-363潜在的生物学功能?方法:首先通过miRbase?UCSC等在线数据库对hsa-miR-363的碱基序列?基因位点及序列保守性进行分析;其次选择miranda?miRDB?PicTar及TargetScan四个在线数据库预测hsa-miR-363的靶基因并取交集,筛选后的靶基因用于后续分析;最后通过基因GO功能注释?富集分析和KEGG信号转导通路富集分析,初步阐明hsa-miR-363靶基因参与调控的细胞功能与信号通路?结果:根据生物信息学分析的结果显示,hsa-miR-363的功能较广泛,其多个潜在靶基因均参与子宫内膜异位症发生?发展过程中的多个生物学进程?结论:hsa-miR-363很可能与子宫内膜异位症的发病机制密切相关,并有可能为临床的靶向治疗提供潜在的新靶点?

关 键 词:hsa-miR-363  子宫内膜异位症  生物信息学  靶基因
收稿时间:2015/3/19 0:00:00

Target genes prediction and bioinformatics analysis of hsa-miR-363
Li Wenqu,Shi Xiaoyan,Lv Shanshan,Huang Lei,Fu Ziyi and Jia Xuemei.Target genes prediction and bioinformatics analysis of hsa-miR-363[J].Acta Universitatis Medicinalis Nanjing,2015(7):911-917.
Authors:Li Wenqu  Shi Xiaoyan  Lv Shanshan  Huang Lei  Fu Ziyi and Jia Xuemei
Institution:The First Clinical Medical College of NJMU,Nanjing 210029,Department of Gynecology,Affiliated Nanjing Maternal and Child Health Care Hospital of NJMU,Nanjing 210004,The First Clinical Medical College of Nanjing University of Chinese Medicine,Nanjing 210029,China,The First Clinical Medical College of NJMU,Nanjing 210029,Department of Gynecology,Affiliated Nanjing Maternal and Child Health Care Hospital of NJMU,Nanjing 210004 and Department of Gynecology,Affiliated Nanjing Maternal and Child Health Care Hospital of NJMU,Nanjing 210004
Abstract:Objective: To identify the potential biological function of hsa-miR-363. Methods: Firstly we analyzed hsa-miR-363 base sequence,chromosomalposition and conservation of the sequence through miRbase and UCSC databases. Secondly, we predicted the target genes by the miRNA databases, including Miranda, miRDB, PicTar, and TargetScan. Then the intersection of these predicted genes were done for further study. Finally, we clarified those cell functions and signaling pathways regulated by hsa-miR-363 target genes using GO and KEGG pathway analysis. Results: According to these bioinformatics data, we found that hsa-miR-363 might have a wide range of functions, and some potential target genes of this microRNA participated in the initiation and development of endometriosis. Conclusion: Hsa-miR-363 might be related to the pathogenesis of endometriosis, and it may provide a potential target for the clinical therapy to endometriosis.
Keywords:hsa-miR-363  endometriosis  bioinformatics analysis  target genes
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