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Identification of gene and microRNA changes in response to smoking in human airway epithelium by bioinformatics analyses

Smoking is a substantial risk factor for many respiratory diseases. This study aimed to identify the gene and microRNA changes related to smoking in human airway epithelium by bioinformatics analysis. From the Gene Expression Omnibus (GEO) database, the mRNA datasets GSE11906, GSE22047, GSE63127, an...

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Detalles Bibliográficos
Autores principales:	Huang, Jizhen, Jiang, Wanli, Tong, Xiang, Zhang, Li, Zhang, Yuan, Fan, Hong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Wolters Kluwer Health 2019
Materias:	6700
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6756728/ https://www.ncbi.nlm.nih.gov/pubmed/31568004 http://dx.doi.org/10.1097/MD.0000000000017267

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