Evidence map›Paper›PMID 32831139›Full record

ArticleStem cell research & therapy2020

A novel tsRNA-16902 regulating the adipogenic differentiation of human bone marrow mesenchymal stem cells.

Tao Wang, Jun Mei, Xingnuan Li, Xiaoyuan Xu, Baicheng Ma, Weidong Li

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Article in Stem cell research & therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

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0cells of the map it votes in
19citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Tao WangKey Laboratory of System Bio-medicine of Jiangxi Province, Jiujiang University, Jiujiang, 332000, China. comwangtaocom@163.com.
Jun MeiKey Laboratory of System Bio-medicine of Jiangxi Province, Jiujiang University, Jiujiang, 332000, China.
Xingnuan LiKey Laboratory of System Bio-medicine of Jiangxi Province, Jiujiang University, Jiujiang, 332000, China.
Xiaoyuan XuKey Laboratory of System Bio-medicine of Jiangxi Province, Jiujiang University, Jiujiang, 332000, China.
Baicheng MaKey Laboratory of System Bio-medicine of Jiangxi Province, Jiujiang University, Jiujiang, 332000, China. bcmnku@163.com.
Weidong LiKey Laboratory of System Bio-medicine of Jiangxi Province, Jiujiang University, Jiujiang, 332000, China. wdli777@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTransfer RNA-derived small RNAs (tsRNAs) are a recently discovered form of non-coding RNA capable of regulating myriad physiological processes. The role of tsRNAs in hMSC adipogenic differentiation, however, remains incompletely understood. The purpose of this study was to identify the novel tsRNA-16902 as a regulator of hMSC adipogenic differentiation.

methodsIn this study, we conducted transcriptomic sequencing of hMSCs after inducing their adipogenic differentiation, and we were thereby able to clarify the molecular mechanism underlying the role of tsRNA-16902 in this context via a series of molecular biology methods.

resultsWhen we knocked down tsRNA-16902 expression, this impaired hMSC adipogenic differentiation and associated marker gene expression. Bioinformatics analyses further revealed tsRNA-16902 to target retinoic acid receptor γ (RARγ). Luciferase reporter assays also confirmed the ability of tsRNA-16902 to bind to the RARγ 3'-untranslated region. Consistent with this, RARγ overexpression led to impaired hMSC adipogenesis. Further analyses revealed that Smad2/3 phosphorylation was increased in cells that either overexpressed RARγ or in which tsRNA-16902 had been knocked down. We also assessed the adipogenic differentiation of hMSCs in which tsRNA-16902 was knocked down and at the same time a Smad2/3 inhibitor was added to disrupt Smad2/3 phosphorylation. The adipogenic differentiation of hMSCs in which tsRNA-16902 was knocked down was further enhanced upon the addition of a Smad2/3 signaling inhibitor relative to tsRNA-16902 knockdown alone.

conclusionsThrough a comprehensive profiling analysis of tsRNAs that were differentially expressed in the context of hMSC adipogenic differentiation, we were able to identify tsRNA-16902 as a previously uncharacterized regulator of adipogenesis. tsRNA-16902 is able to regulate hMSC adipogenic differentiation by targeting RARγ via the Smad2/3 signaling pathway. Together, our results may thus highlight novel strategies of value for treating obesity.

Indexed as

AdipogenesisMesenchymal Stem CellsBone Marrow CellsCell DifferentiationCells, CulturedHumansRNA, TransferSignal TransductionRNA, TransferAdipogenic differentiationHuman bone marrow mesenchymal stem cells (hMSCs)Retinoic acid receptor γ (RARγ)Smad 2/3 signaling pathwaytRNA-derived small RNAs (tsRNAs)

Identifiers

PMID32831139
PMCPMC7444066

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.