Noncoding RNAs: new insights into the odontogenic differentiation of dental tissue-derived mesenchymal stem cells

Fang, Fuchun; Zhang, Kaiying; Zhao, Chen; Wu, Buling

doi:10.1186/s13287-019-1411-x

Cited by 32 publications

(26 citation statements)

References 73 publications

(79 reference statements)

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“…However, exploration of the ceRNA mechanism of lncRNAs in previous literature indicated that the subcellular localization of lncRNAs is rarely mentioned, even though this localization is the basis of the ceRNA mechanism. For example, if a lncRNA is mainly located in the nucleus, it will not play a major regulatory role through a ceRNA mechanism [47,48]. In further research concerning the ceRNA mechanism, the subcellular localization of lncRNAs in hDPSCs must be demonstrated.…”

Section: Discussionmentioning

confidence: 99%

Genome-wide identification of long noncoding RNAs and their competing endogenous RNA networks involved in the odontogenic differentiation of human dental pulp stem cells

et al. 2020

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Background: Long noncoding RNAs (lncRNAs) play an important role in the multiple differentiations of mesenchymal stem cells (MSCs). However, few studies have focused on the regulatory mechanism of lncRNAs in the odontogenic differentiation of human dental pulp stem cells (hDPSCs). Methods: hDPSCs were induced to differentiate into odontoblasts in vitro, and the expression profiles of lncRNAs, microRNAs (miRNAs), and messenger RNAs (mRNAs) in differentiated and undifferentiated cells were obtained by microarray. Bioinformatics analyses including Gene Ontology (GO) analysis, pathway analysis, and binding site prediction were performed for functional annotation of lncRNA. miRNA/odontogenesis-related gene networks and lncRNA-associated ceRNA networks were constructed. Quantitative reverse-transcription polymerase chain reaction (qRT-PCR) was used to verify the expression of selected genes. RNA fluorescence in situ hybridization (FISH), qRT-PCR, and western blot analysis were used to explore the location and function of lncRNA-G043225. Dual-luciferase reporter assay was performed to confirm the binding sites of miR-588 with G043225 and Fibrillin 1 (FBN1). Results:We identified 132 lncRNAs, 114 miRNAs, and 172 mRNAs were differentially expressed. GO analysis demonstrated that regulation of the neurogenic locus notch homolog (Notch), Wnt, and epidermal growth factor receptor (ERBB) signaling pathways and activation of mitogen-activated protein kinase (MAPK) activity were related to odontogenic differentiation. Pathway analysis indicated that the most significant pathway was the forkhead box O (FoxO) signaling pathway, which is related to odontogenic differentiation. Two odontogenesis-related genecentered lncRNA-associated ceRNA networks were successfully constructed. The qRT-PCR validation results were consistent with the microarray analysis. G043225 mainly locating in cytoplasm was proved to promote the odontogenic differentiation of hDPSCs via miR-588 and FBN1. (Continued on next page)Conclusion: This is the first study revealing lncRNA-associated ceRNA network during odontogenic differentiation of hDPSCs using microarray, and it could provide clues to explore the mechanism of action at the RNA-RNA level as well as novel treatments for dentin regeneration based on stem cells.

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Section: Discussionmentioning

confidence: 99%

Genome-wide identification of long noncoding RNAs and their competing endogenous RNA networks involved in the odontogenic differentiation of human dental pulp stem cells

et al. 2020

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“…The potential of odontogenic differentiation of DPSCs plays a crucial role in pulp-dentin complex regeneration in future clinical applications [ 2 , 3 ]. In our study, DPSCs were cultured with the odontogenic medium supplementing 10% FBS.…”

Section: Discussionmentioning

confidence: 99%

“…The development of dental-derived mesenchymal stem cells is an intriguing milestone of regenerative medicine, in view of their capability of differentiating into osteogenic, adipogenic, and chondrogenic lineages, representing a promising source for the bone and dentin mineralization treatment strategies in the future [ 1 ]. Dental pulp stem cells (DPSCs), a group of dental-derived mesenchymal stem cells derived from the neural crest, are considered important seed cells in dental tissue engineering for pulp-dentin complex regeneration [ 2 , 3 ]. When teeth are stimulated by dental caries, wear, or trauma, resident DPSCs migrate quickly to the injured site because of their suited location to secrete proregenerative cytokines to respond to the inflammatory microenvironment, then proliferate and differentiate into odontoblasts [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Characterization of Odontogenic Differentiation from Human Dental Pulp Stem Cells Using TMT-Based Proteomic Analysis

Xiao

Xin

Zhang

et al. 2020

BioMed Research International

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Background. The repair of dental pulp injury relies on the odontogenic differentiation of dental pulp stem cells (DPSCs). To better understand the odontogenic differentiation of DPSCs and identify proteins involved in this process, tandem mass tags (TMTs) coupled with liquid chromatography-tandem mass spectrometry (LC-MS/MS) were applied to compare the proteomic profiles of induced and control DPSCs. Methods. The proteins expressed during osteogenic differentiation of human DPSCs were profiled using the TMT method combined with LC-MS/MS analysis. The identified proteins were subjected to Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Then, a protein-protein interaction (PPI) network was constructed. Two selected proteins were confirmed by western blotting (WB) analysis. Results. A total of 223 proteins that were differentially expressed were identified. Among them, 152 proteins were significantly upregulated and 71 were downregulated in the odontogenic differentiation group compared with the control group. On the basis of biological processes in GO, the identified proteins were mainly involved in cellular processes, metabolic processes, and biological regulation, which are connected with the signaling pathways highlighted by KEGG pathway analysis. PPI networks showed that most of the differentially expressed proteins were implicated in physical or functional interaction. The protein expression levels of FBN1 and TGF-β2 validated by WB were consistent with the proteomic analysis. Conclusions. This is the first proteomic analysis of human DPSC odontogenesis using a TMT method. We identified many new differentially expressed proteins that are potential targets for pulp-dentin complex regeneration and repair.

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“…The regulatory mechanism of lncRNAs vary based on their locations within the cells. They participate in chromatin modification and transcription in the nucleus, while they interact with RNA-binding proteins or modulate mRNA translation in the cytoplasm (37,38). There are a variety of mutual regulatory mechanisms for lncRNAs and miRNAs.…”

Section: Lncrna Biogenesismentioning

confidence: 99%

Long non‑coding RNAs are novel players in oral inflammatory disorders, potentially premalignant oral epithelial lesions and oral squamous cell carcinoma (Review)

Zhang

Qiu

et al. 2020

Int J Mol Med

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In recent years, a large number of studies have shown that the abnormal expression of long non-coding (lnc)RNAs can lead to a variety of different diseases, including inflammatory disorders, cardiovascular disease, nervous system diseases, and cancers. Recent research has demonstrated the biological characteristics of lncRNAs and the important functions of lncRNAs in oral inflammation, precancerous lesions and cancers. The present review aims to explore and discuss the potential roles of candidate lncRNAs in oral diseases by summarizing multiple lncRNA profiles in diseased and healthy oral tissues to determine the altered lncRNA signatures. In addition, to highlight the exact regulatory mechanism of lncRNAs in oral inflammatory disorders, potentially premalignant oral epithelial lesions and oral squamous cell carcinoma. The detection of lncRNAs in oral samples has the potential to be used as a diagnostic and an early detection tool for oral diseases. Furthermore, lncRNAs are promising future therapeutic targets in oral diseases, and research in this field may expand in the future.

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Noncoding RNAs: new insights into the odontogenic differentiation of dental tissue-derived mesenchymal stem cells

Cited by 32 publications

References 73 publications

Genome-wide identification of long noncoding RNAs and their competing endogenous RNA networks involved in the odontogenic differentiation of human dental pulp stem cells

Genome-wide identification of long noncoding RNAs and their competing endogenous RNA networks involved in the odontogenic differentiation of human dental pulp stem cells

Characterization of Odontogenic Differentiation from Human Dental Pulp Stem Cells Using TMT-Based Proteomic Analysis

Long non‑coding RNAs are novel players in oral inflammatory disorders, potentially premalignant oral epithelial lesions and oral squamous cell carcinoma (Review)

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