Literature DB >> 34427873

LncRNA expression profile analysis of Mg2+-induced osteogenesis by RNA-seq and bioinformatics.

Wen Tang1, Qing Liu1, Wei Tan1, Tianshi Sun1, Youwen Deng2.   

Abstract

BACKGROUND: In recent years, magnesium (Mg) has been extensively studied for manufacturing biodegradable orthopedic devices. Besides other advantages, researches have shown that magnesium-based implants can stimulate osteogenesis thus accelerating orthopedic trauma recovery, but its molecular mechanism is not fully understood. Meanwhile, long non-coding RNA (lncRNA) has been found to play vital role in regulating osteogenic differentiation.
OBJECTIVE: To explore the role of lncRNA in Mg2+ (magnesium ions)-induced osteogenesis.
METHODS: The effect of Mg2+ on mBMSCs proliferation was detected by the CCK-8 assay. The optimum concentration of Mg2+ (7.5 mM) in promoting mBMSCs osteogenesis was determined by ALP staining and Alizarin red staining, western blot and RT-qPCR were performed to detect osteogenic markers expressions. The lncRNAs and mRNAs expression profiles of mBMSCs were assessed by RNA-Seq and processed by bioinformatics analysis. The selected lncRNAs expression level was validated by RT-qPCR.
RESULTS: The effect of Mg2+ in promoting osteogenesis was confirmed and the optimum concentration was determined as 7.5 mM. The lncRNAs and mRNAs differentially expressed between 7.5 mM Mg2+-treated group and control group was detected and functional analysis revealed that their function were associated with osteogenesis. The ceRNA networks were constructed for H19 and Dubr that aberrantly expressed in two groups. The ceRNA networks of selected lncRNAs (H19 and Dubr) were constructed.
CONCLUSIONS: This study identified H19 and Dubr as osteogenic associated lncRNAs involved in Mg2+-induced osteogenesis, and they might play their roles through lncRNA-miRNA-mRNA axis.
© 2021. The Genetics Society of Korea.

Entities:  

Keywords:  H19 long non-coding RNA; Magnesium; Mesenchymal stem cells; Osteogenesis

Mesh:

Substances:

Year:  2021        PMID: 34427873     DOI: 10.1007/s13258-021-01140-w

Source DB:  PubMed          Journal:  Genes Genomics        ISSN: 1976-9571            Impact factor:   1.839


  47 in total

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