microRNA 对儿童哮喘靶基因调控的生物信息学分析

doi:10.3969 j.issn.1000-3606.2016.02.001

临床儿科杂志 ›› 2016, Vol. 34 ›› Issue (2): 81-.doi: 10.3969 j.issn.1000-3606.2016.02.001

• 呼吸系统疾病专栏 • 下一篇

microRNA 对儿童哮喘靶基因调控的生物信息学分析

董晓艳^1,2,陆权¹,张慧燕¹,顾坚磊²,钟,南^1,2

1. 上海市儿童医院　上海交通大学附属儿童医院呼吸科( 上海　200062)；2. 上海医学遗传研究所（上海　200040）

收稿日期:2016-02-15 出版日期:2016-02-15 发布日期:2016-02-15
通讯作者: 董晓艳 E-mail:dong_x_y0305@126.com
基金资助:
上海市卫生和计划生育委员会资助项目（No.20124132）

Bioinformatic analysis of regulation of microRNA on target genes in pediatric asthma　

DONG Xiaoyan^1,2, LU Quan¹, ZHANG Huiyan¹, GU Jianlei¹, ZHONG Nan^1,2

1. Department of Pulmonary, Shanghai Children’s Hospital, Shanghai Jiaotong University, Shanghai 200062, China; 2. Shanghai Institute of Medical Genetics, Shanghai Children’s Hospital, Shanghai Jiaotong University, Shanghai 200040, China

Received:2016-02-15 Online:2016-02-15 Published:2016-02-15

摘要/Abstract

摘要： 　目的　应用生物信息学技术分析尘螨过敏哮喘儿童特异性microRNA（miRNA）及其靶基因筛选，探讨哮喘发病机制。方法　采用病例对照研究，在62 对尘螨过敏哮喘患儿及同龄正常无过敏儿童中，随机选取12 例哮喘患儿及对照者进行microRNA 芯片分析，比较两组中存在异常表达的miRNAs，并在其余病例中进行RT-qPCR 验证和生物信息学分析。结果　尘螨过敏哮喘儿童中有6 个microRNA 表达较对照组下调2 倍以上，分别为miRNA-151a-5p、625-5p、126-3p、513a-5p、27b-3p、22-3p，差异均有统计学意义（P<0.05）。进一步的生物信息学富集分析发现，这些microRNAs调控的PPARGC1B、CBL、ONECUT2、ESR1、EGFR、SYK、STAT1与炎症因子信号通路有着显著性关联（P<0.05）。结论　miRNA-625-5p、513a-5p、27b-3p、22-3p 可能通过共同调控相关靶基因，形成一个网络通路，参与尘螨诱发儿童哮喘的发生。

Abstract: Objective　To understand the underlying mechanism of mites-induced pediatric asthma by bioinformatic analysis on specific microRNA (miRNA) array and target gene screening. Methods　This is a case control study of 62 pairs of dust mites-induced asthma children with age and gender matched healthy controls. Twelve pairs were randomly selected for miRNA array. The abnormal expression of miRNAs was compared between asthma and control children. The results were validated by RT-qPCR and bioinformatic analysis in remaining pairs of children. Results　Six miRNAs (miRNA-151a-5p, 625-5p, 126-3p, 513a-5p, 27b-3p, 22-3p) were significantly down-regulated more than two folds in dust mites-induced asthma children than those in controls. The enriched bioinformatics analysis showed that these miRNAs and their target genes CBL, PPARGC1B, ESR1, ONECUT2, EGFR, SYK, and STAT1 were related to inflammatory cytokine signaling pathway. Conclusion It is suggested that miR-22-3p, 513a-5p, 625-5p, 27b-3p, and miRNA-target genes form a network through co-regulation to target genes to participate dust mites-induced asthma in children.

董晓艳,陆权,张慧燕,顾坚磊,钟,南. microRNA 对儿童哮喘靶基因调控的生物信息学分析[J]. 临床儿科杂志, 2016, 34(2): 81-.

DONG Xiaoyan, LU Quan, ZHANG Huiyan, GU Jianlei, ZHONG Nan. Bioinformatic analysis of regulation of microRNA on target genes in pediatric asthma　[J]. , 2016, 34(2): 81-.

microRNA 对儿童哮喘靶基因调控的生物信息学分析

Bioinformatic analysis of regulation of microRNA on target genes in pediatric asthma

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