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lnc133b, a novel, long non-coding RNA, regulates bovine skeletal muscle satellite cell proliferation and differentiation by mediating miR-133b.
- Source :
-
Gene [Gene] 2017 Sep 30; Vol. 630, pp. 35-43. Date of Electronic Publication: 2017 Jul 27. - Publication Year :
- 2017
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Abstract
- The proliferation and differentiation of skeletal muscle satellite cells is regulated by multiple regulatory factors including non-coding RNAs. It has been reported that miR-133b regulates myogenesis. In this study, we detected a novel lncRNA, lnc133b, which is completely complemented by mature miR-133b, indicating that lnc133b may regulate the expression of miR-133b by "sponge" miR-133b. A luciferase report assay confirmed that lnc133b interacts with miR-133b in regions complemented by miR-133b. We successfully constructed lnc133b gain/loss-of-function cell models by infecting LV-1nc133b and transfecting si-lnc133b into satellite cells. Results of quantitative real-time polymerase chain reaction (qRT-PCR) and 5-ethynyl-2'-deoxyuridine (EdU) assays showed that overexpression or inhibition of lnc133b could promote the proliferation or inhibition of satellite cell differentiation. The qRT-PCR results also showed that lnc133b negatively regulates miR-133b expression and a Western blot assay showed that lnc133b positively regulates IGF1R expression, indicating that the lnc133b/miR-133b/IGF1R axis is a potential pathway for promoting satellite cell proliferation and repressing their differentiation through the ceRNA mechanism. Building on the findings of previous reports, we constructed the lnc133b/miR-133b/FGFR1 & PP2AC pathway to improve the lnc133b regulation network regulating the proliferation and differentiation of satellite cells. The current study provides a new perspective for understanding the mechanism regulating satellite cell proliferation and differentiation through the interaction of miR-133b and lnc133b.<br /> (Copyright © 2017 Elsevier B.V. All rights reserved.)
Details
- Language :
- English
- ISSN :
- 1879-0038
- Volume :
- 630
- Database :
- MEDLINE
- Journal :
- Gene
- Publication Type :
- Academic Journal
- Accession number :
- 28757453
- Full Text :
- https://doi.org/10.1016/j.gene.2017.07.066