Prediction of target genes for miR-140-5p in pulmonary arterial hypertension using bioinformatics methods.
Prediction of target genes for miR-140-5p in pulmonary arterial hypertension using bioinformatics methods.
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利用生物信息学方法预测肺动脉高压中miR-140-5p的靶基因
DOI:
10.1002/2211-5463.12322
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发表时间:
2017-12
期刊:
影响因子:
2.6
通讯作者:
Li M
中科院分区:
文献类型:
--
作者:
Li F;Shi W;Wan Y;Wang Q;Feng W;Yan X;Wang J;Chai L;Zhang Q;Li M
The expression of microRNA (miR)‐140‐5p is known to be reduced in both pulmonary arterial hypertension (PAH) patients and monocrotaline‐induced PAH models in rat. Identification of target genes for miR‐140‐5p with bioinformatics analysis may reveal new pathways and connections in PAH. This study aimed to explore downstream target genes and relevant signaling pathways regulated by miR‐140‐5p to provide theoretical evidences for further researches on role of miR‐140‐5p in PAH. Multiple downstream target genes and upstream transcription factors (TFs) of miR‐140‐5p were predicted in the analysis. Gene ontology (GO) enrichment analysis indicated that downstream target genes of miR‐140‐5p were enriched in many biological processes, such as biological regulation, signal transduction, response to chemical stimulus, stem cell proliferation, cell surface receptor signaling pathways. Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analysis found that downstream target genes were mainly located in Notch, TGF‐beta, PI3K/Akt, and Hippo signaling pathway. According to TF–miRNA–mRNA network, the important downstream target genes of miR‐140‐5p were PPI, TGF‐betaR1, smad4, JAG1, ADAM10, FGF9, PDGFRA, VEGFA, LAMC1, TLR4, and CREB. After thoroughly reviewing published literature, we found that 23 target genes and seven signaling pathways were truly inhibited by miR‐140‐5p in various tissues or cells; most of these verified targets were in accordance with our present prediction. Other predicted targets still need further verification in vivo and in vitro.
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影响因子:
3
作者:
Garat CV;Crossno JT Jr;Sullivan TM;Reusch JE;Klemm DJ
通讯作者:
Klemm DJ
影响因子:
3.1
作者:
Higasa K;Ogawa A;Terao C;Shimizu M;Kosugi S;Yamada R;Date H;Matsubara H;Matsuda F
通讯作者:
Matsuda F
影响因子:
7.4
作者:
Chuang, Jih-Ing;Huang, Jui-Yen;Ching, Cheng-Hsin
通讯作者:
Ching, Cheng-Hsin
影响因子:
15.9
作者:
Rothman, Alexander M. K.;Arnold, Nadine D.;Lawrie, Allan
通讯作者:
Lawrie, Allan
影响因子:
2.6
作者:
Song Y;Zhang Y;Jiang H;Zhu Y;Liu L;Feng W;Yang L;Wang Y;Li M
通讯作者:
Li M