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表达数据分析以鉴定与儿童哮喘相关的生物标志物。

Expression data analysis to identify biomarkers associated with asthma in children.

机构信息

Department of Paediatrics, Rizhao City People's Hospital, No. 126 Donggang Area, Tai'an Road, Rizhao City, Shandong 276800, China.

出版信息

Int J Genomics. 2014;2014:165175. doi: 10.1155/2014/165175. Epub 2014 Mar 27.

DOI:10.1155/2014/165175
PMID:24790987
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3985200/
Abstract

Asthma is characterized by recurrent episodes of wheezing, shortness of breath, chest tightness, and coughing. It is usually caused by a combination of complex and incompletely understood environmental and genetic interactions. We obtained gene expression data with high-throughput screening and identified biomarkers of children's asthma using bioinformatics tools. Next, we explained the pathogenesis of children's asthma from the perspective of gene regulatory networks: DAVID was applied to perform Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enriching analysis for the top 3000 pairs of relationships in differentially regulatory network. Finally, we found that HAND1, PTK1, NFKB1, ZIC3, STAT6, E2F1, PELP1, USF2, and CBFB may play important roles in children's asthma initiation. On account of regulatory impact factor (RIF) score, HAND1, PTK7, and ZIC3 were the potential asthma-related factors. Our study provided some foundations of a strategy for biomarker discovery despite a poor understanding of the mechanisms underlying children's asthma.

摘要

哮喘的特征是反复发作的喘息、呼吸急促、胸闷和咳嗽。它通常是由复杂且不完全了解的环境和遗传相互作用共同引起的。我们通过高通量筛选获得了基因表达数据,并使用生物信息学工具鉴定了儿童哮喘的生物标志物。接下来,我们从基因调控网络的角度解释了儿童哮喘的发病机制:应用 DAVID 对差异调控网络中前 3000 对关系进行京都基因与基因组百科全书 (KEGG) 通路富集分析。最后,我们发现 HAND1、PTK1、NFKB1、ZIC3、STAT6、E2F1、PELP1、USF2 和 CBFB 可能在儿童哮喘的发病中发挥重要作用。根据调控影响因子 (RIF) 评分,HAND1、PTK7 和 ZIC3 是潜在的哮喘相关因素。尽管我们对儿童哮喘的发病机制了解甚少,但我们的研究为生物标志物发现策略提供了一些依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa96/3985200/a789790b81a1/IJG2014-165175.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa96/3985200/a789790b81a1/IJG2014-165175.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa96/3985200/a789790b81a1/IJG2014-165175.001.jpg

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