Bioinformatic analysis of microRNA and mRNA Regulation in peripheral blood mononuclear cells of patients with chronic obstructive pulmonary disease.
Bioinformatic analysis of microRNA and mRNA Regulation in peripheral blood mononuclear cells of patients with chronic obstructive pulmonary disease.
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慢性阻塞性肺疾病患者外周血单个核细胞microRNA和mRNA调控的生物信息学分析
DOI:
10.1186/s12931-016-0486-5
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发表时间:
2017-01-05
影响因子:
5.8
通讯作者:
Chang Y
中科院分区:
文献类型:
--
作者:
Dang X;Qu X;Wang W;Liao C;Li Y;Zhang X;Xu D;Baglole CJ;Shang D;Chang Y
BackgroundChronic obstructive pulmonary disease (COPD) is a progressive, irreversible chronic inflammatory disorder typified by increased recruitment of monocytes, lymphocytes and neutrophils. Because of this, as well as the convenience of peripheral blood nuclear cells (PBMCs) assessments, miRNA profiling of PBMCs has drawn increasing attention in recent years for various disease. Therefore, we analyzed miRNA and mRNA profiles to understand their regulatory network between COPD subjects versus smokers without airflow limitation.MethodsmiRNA and mRNA profiling of PBMCs from pooled 17 smokers and 14 COPD subjects was detected by high-throughput microarray. The expression of dysregulated miRNAs were validated by q-PCR. The miRNA targets in dysregulated mRNAs were predicted and the pathway enrichment was analyzed.ResultsmiRNA microarray showed that 8 miRNAs were up-regulated and 3 miRNAs were down-regulated in COPD subjects compared with smokers; the upregulation of miR-24-3p, miR-93-5p, miR-320a and miR-320b and the downregulation of miR-1273 g-3p were then validated. Bioinformatic analysis of regulatory network between miRNA and mRNA showed that NOD and TLR were the most enriched pathways. miR-24-3p was predicted to regulate IL-18, IL-1β, TNF, CCL3 and CCL4 and miR-93-5p to regulate IκBα.ConclusionsThe expression of miRNA and mRNA were dysregulated in PBMCs of COPD patients compared with smokers without airflow limitation. The regulation network between the dysregulated miRNA and mRNA may provide potential therapeutic targets for COPD.
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影响因子:
4.3
作者:
Fang, Ling;Du, William W.;Yang, Burton B.
通讯作者:
Yang, Burton B.
影响因子:
9.6
作者:
Cosio, MG;Majo, J;Cosio, MG
通讯作者:
Cosio, MG
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2.5
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Liu, Dongmei;Zhao, Haiyan;Wang, Xiaofei
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Huang, Da Wei;Sherman, Brad T;Tan, Qina;Collins, Jack R;Alvord, W Gregory;Roayaei, Jean;Stephens, Robert;Baseler, Michael W;Lane, H Clifford;Lempicki, Richard A
通讯作者:
Lempicki, Richard A
DOI:
10.1007/s00432-013-1469-2
发表时间:
2013-09-01
影响因子:
3.6
作者:
Ayaz, Lokman;Gorur, Aysegul;Tamer, Lulufer
通讯作者:
Tamer, Lulufer