[1]苏　里　赵志军　梅小龙　杨建华　包文平　张春阳.调控人骨桥蛋白的miRNA预测研究[J].中国临床神经外科杂志,2016,(04):210-212.[doi:10.13798/j.issn.1009-153X.2016.04.006]
　SU Li,ZHAO Zhi-jun,MEI Xiao-lun,et al.Study of the prediction of microRNA regulating human osteopontin[J].,2016,(04):210-212.[doi:10.13798/j.issn.1009-153X.2016.04.006]
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调控人骨桥蛋白的miRNA预测研究()
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《中国临床神经外科杂志》[ISSN:1009-153X/CN:42-1603/TN]

卷:
期数:
2016年04期
页码:
210-212
栏目:
论著
出版日期:
2016-04-25

文章信息/Info

Title:
Study of the prediction of microRNA regulating human osteopontin
文章编号:
1009-153X（2016）04-0210-03
作者:
苏　里　赵志军　梅小龙　杨建华　包文平　张春阳
014010 内蒙古包头，包头医学院第一附属医院神经外科
通讯作者：张春阳，E-mail：zhangchunyang_1964@aliyun.com
Author(s):
SU Li;  ZHAO Zhi-jun;  MEI Xiao-lun;  YANG Jian-hua;  BAO Wen-ping;  ZHANG Chun-yang.
Department of Neurosurgery, The First Affiliated Hospital, Baotou Medical College, Baotou 014010, China
关键词:
微小RNA; 骨桥蛋白; 生物信息学; 靶基因预测
Keywords:
MicroRNA;  Osteopontin;  Bioinformatics;  Target gene prediction
分类号:
Q 786
DOI:
10.13798/j.issn.1009-153X.2016.04.006
文献标志码:
A
摘要:
目的 利用生物信息学方法预测调控人骨桥蛋白的微小RNA（miRNA），为进一步实验验证特定miRNA和人骨桥蛋白基因之间的关系提供依据。方法 分别应用miRGen Targets和miRanda数据库确定与人骨桥蛋白有密切关系的miRNA分子。结果 经miRGen Targets数据库预测出28个miRNA分子可能作用于人骨桥蛋白基因；miRanda数据库显示miR-539，miR-181，miR-340，miR-376c和miR-154 5个miRNAs在人骨桥蛋白的负调控过程可能发挥作用；将两个数据库结果交集后发现 miR-539，miR-181，miR-33b和miR-377 4个miRNA分子最有可能参与调控人骨桥蛋白。结论 利用生物信息学软件可对调控人骨桥蛋白的miRNA进行预测，为研究骨桥蛋白的功能和生物学特性提供新手段。
Abstract:
Objective To predict some microRNAs (miRNA) regulating human osteopontin (OPN) with bioinformatic softwares in order to provide a valid theoretical support for further experimental research on the relationship between specific miRNA and human OPN gene. Methods Integrated bioinformatic database including miRGen Target and miRanda were respectively applied to identify the number of miRNAs which closely related with human OPN. Results The miRGen Target database showed that 28 miRNAs might be involved in the degradation of OPN and miRanda database showed that 4 miRNAs might play an important role in the process of the negative regulation of OPN. The intersection of two database found that miR-539, miR-181, miR-33b and miR-377 were most likely involved in regulation of human OPN. Conclusion The prediction of miRNA regulating human OPN with bioinformatical Methods can provide a new strategy for the study of the property as well as function of OPN.

参考文献/References:

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备注/Memo

备注/Memo:
基金项目：国家自然科学基金项目（81360164）；内蒙古自然科学基金项目(2014MS0806)
更新日期/Last Update: 2016-04-30