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miR-27b inhibits fibroblast activation via targeting TGFβ signaling pathway

Overview of attention for article published in BMC Cell Biology, January 2017
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Title
miR-27b inhibits fibroblast activation via targeting TGFβ signaling pathway
Published in
BMC Cell Biology, January 2017
DOI 10.1186/s12860-016-0123-7
Pubmed ID
Authors

Xiangming Zeng, Chaoqun Huang, Lakmini Senavirathna, Pengcheng Wang, Lin Liu

Abstract

MicroRNAs are a group of small RNAs that regulate gene expression at the posttranscriptional level. They regulate almost every aspect of cellular processes. In this study, we investigated whether miR-27b regulates pulmonary fibroblast activation. We found that miR-27b was down-regulated in fibrotic lungs and fibroblasts from an experimental mouse model of pulmonary fibrosis. The overexpression of miR-27b with a lentiviral vector inhibited TGFβ1-stimulated mRNA expression of collagens (COL1A1, COL3A1, and COL4A1) and alpha-smooth muscle actin, and protein expression of Col3A1 and alpha-smooth muscle actin in LL29 human pulmonary fibroblasts. miR-27b also reduced contractile activity of LL29. TGFβ receptor 1 and SMAD2 were identified as the targets of miR-27b by 3'-untranslated region luciferase reporter and western blotting assays. Our results suggest that miR-27b is an anti-fibrotic microRNA that inhibits fibroblast activation by targeting TGFβ receptor 1 and SMAD2. This discovery may provide new targets for therapeutic interventions of idiopathic pulmonary fibrosis.

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 25%
Student > Doctoral Student 3 19%
Student > Ph. D. Student 2 13%
Student > Bachelor 1 6%
Unknown 6 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 25%
Agricultural and Biological Sciences 2 13%
Neuroscience 2 13%
Psychology 1 6%
Engineering 1 6%
Other 0 0%
Unknown 6 38%