Differential circRNA expression profiles during the BMP2-induced osteogenic differentiation of MC3T3-E1 cells.
Recent studies have indicated that circular RNAs (circRNAs) might play important roles in various diseases. However, little is known about the functions of circRNAs in the skeletal system, and the role of circRNAs in the mechanism by which bone morphogenetic protein 2 (BMP2) promotes bone differentiation remains unknown. Here, we performed RNA-seq to analyze differential expression of circRNA during different osteoblast differentiation stages and investigated the relevant mechanisms.
Alkaline phosphatase (ALP) staining and activity were performed to assess osteogenic differentiation in MC3T3-E1 cells. The expression of osteogenic markers in MC3T3-E1 cells and the differential expression levels of circRNAs were measured and validated by qRT-PCR. Osteogenic marker proteins were measured by western blot. RNA-seq was performed to detect differential expression of circRNAs during the osteogenic differentiation of MC3T3-E1 cells induced by BMP2. Gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and PANTHER pathway analyses were performed to predict the functions of differentially expressed circRNAs and potentially co-expressed target genes. The microRNA (miRNA) targets of the circRNAs and circRNA-miRNA interactions were predicted by miRanda. The circRNA-miRNA co-expression network was constructed based on the correlation analysis between the differentially expressed circRNAs and miRNAs. A graph of the circRNA-miRNA network was created using Cytoscape 3.01.
The Cell Counting Kit 8 (CCK-8) assay showed that BMP2 promoted the proliferation of osteoblasts in vitro. Both the intracellular ALP content and activity were increased in BMP2-treated MC3T3-E1 cells. In addition, the mRNA and protein levels of the osteoblastic markers ALP, Sp7 transcription factor (SP7) and runt-related transcription factor 2 (RUNX2) were substantially up-regulated. In the present study, 158 circRNAs were differentially expressed by a fold-change ≥2.0, P<0.05 and false discovery rate <0.05. Among these, 74 circRNAs were up-regulated, while 84 circRNAs were down-regulated. In addition, the expression levels of circRNA.5846, circRNA.19142 and circRNA.10042 were significantly increased in the BMP2 group. Furthermore, by analyzing the target mRNAs of miR-7067-5p using GO and PANTHER pathway analyses, circ19142 and circ5846 were found to be not only strongly associated with the biological process of the positive regulation of developmental processes but also related to the fibroblast growth factor, epidermal growth factor, platelet-derived growth factor and Wnt signaling pathways, which are involved in cell growth and differentiation.
The present study identified circ19142 and circ5846 as being associated with osteoblast differentiation and BMP2 may induce osteogenic differentiation through a circ19142/circ5846-targeted miRNA-mRNA axis.
Qian DY
，Yan GB
，Bai B
，Chen Y
，Zhang SJ
，Yao YC
，Xia H
... -
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Alteration of circRNA and lncRNA expression profile in exosomes derived from periodontal ligament stem cells undergoing osteogenic differentiation.
This study investigated circRNA and lncRNA expression profile in exosomes derived from periodontal ligament stem cell (PDLSC) before and after its osteogenic differentiation.
Exosomes derived from PDLSCs before (EX0) and after osteogenic induction for 5 (EX5) and 7 (EX7) days were harvested and exosomal circRNAs and lncRNAs were analyzed by RNA sequencing. Certain RNAs showing significantly altered expression were selected for qRT-PCR verification. The circRNA-miRNA-mRNA network and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed.
All groups of exosomes showed typical characteristics under nanoparticle tracking analysis, flow cytometry assay and transmission electron microscopy. 69-557 circRNAs and 2907-11581 lncRNAs were found in EX0, EX5 and EX7, which were broadly distributed across the 24 pairs of human chromosomes. Compared with EX0, 3 circRNAs and 2 lncRNAs were up-regulated and 39 circRNAs and 5 lncRNAs down-regulated consistently through out of EX5 and EX7, p < 0.05. qRT-PCR confirmed certain those consistently expressed RNAs, such as circ lysophosphatidic acid receptor 1 (LPAR1). KEGG analysis showed that those consistent expressed RNAs closely related to TGF-beta pathway, MAPK pathway, mTOR pathway and FoxO signaling pathways regulating pluripotency of stem cells.
Exosomal circRNAs and lncRNAs had significant expression changes during the early phase of osteogenic differentiation of PDLSCs. Further study would be taken for understanding the roles of exosomal circRNAs and lncRNAs playing in osteogenic differentiation of PDLSCs.
Xie L
，Chen J
，Ren X
，Zhang M
，Thuaksuban N
，Nuntanaranont T
，Guan Z
... -
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Comprehensive analysis of lncRNA-miRNA-mRNA networks during osteogenic differentiation of bone marrow mesenchymal stem cells.
Long non-coding RNA (lncRNA) plays crucial role in osteogenic differentiation of bone marrow mesenchymal stem cells (BMMSCs), involving in regulation of competing endogenous RNA (ceRNA) mechanisms and conduction of signaling pathways. However, its mechanisms are poorly understood. This study aimed to investigate lncRNAs, miRNAs and mRNAs expression profiles in rat BMMSCs (rBMMSCs) osteogenic differentiation, screen the potential key lncRNA-miRNA-mRNA networks, explore the putative functions and identify the key molecules, as the basis of studying potential mechanism of rBMMSCs osteogenic differentiation driven by lncRNA, providing molecular targets for the management of bone defect.
High-throughput RNA sequencing (RNA-seq) was used to determine lncRNAs, miRNAs, and mRNAs expression profiles at 14-day rBMMSCs osteogenesis. The pivotal lncRNA-miRNA and miRNA-mRNA networks were predicted from sequencing data and bioinformatic analysis, and the results were exported by Cytoscape 3.9.0 software. Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used for functional exploration. Real-time quantitative reverse transcription-polymerase chain reaction (qRT-PCR) was performed to validate lncRNAs, miRNAs and mRNAs.
rBMMSCs were identified, and the osteogenic and adipogenic differentiation ability were detected. A total of 8634 lncRNAs were detected by RNA-seq, and 1524 differential expressed lncRNAs, of which 812 up-regulated and 712 down-regulated in osteo-inductive groups compared with control groups. 30 up-regulated and 61 down-regulated miRNAs, 91 miRNAs were differentially expressed in total. 2453 differentially expressed mRNAs including 1272 up-expressed and 1181 down-expressed were detected. 10 up-regulated lncRNAs were chosen to predict 21 down-regulated miRNAs and 650 up-regulated mRNAs. 49 lncRNA-miRNA and 1515 miRNA-mRNA interactive networks were constructed. GO analysis showed the most important enrichment in cell component and molecular function were "cytoplasm" and "protein binding", respectively. Biological process related to osteogenic differentiation such as "cell proliferation", "wound healing", "cell migration", "osteoblast differentiation", "extracellular matrix organization" and "response to hypoxia" were enriched. KEGG analysis showed differentially expressed genes were mainly enriched in "PI3K-Akt signaling pathway", "Signaling pathway regulating pluripotency of stem cells", "cGMP-PKG signaling pathway", "Axon guidance" and "Calcium signaling pathway". qRT-PCR verified that lncRNA Tug1, lncRNA AABR07011996.1, rno-miR-93-5p, rno-miR-322-5p, Sgk1 and Fzd4 were consistent with the sequencing results, and 4 lncRNA-miRNA-mRNA networks based on validations were constructed, and enrichment pathways were closely related to "PI3K-Akt signaling pathway", "Signaling pathway regulating pluripotency of stem cells" and "Wnt signaling pathway".
lncRNAs, miRNAs and mRNAs expression profiles provide clues for future studies on their roles for BMMSCs osteogenic differentiation. Furthermore, lncRNA-miRNA-mRNA networks give more information on potential new mechanisms and targets for management on bone defect.
Liu J
，Yao Y
，Huang J
，Sun H
，Pu Y
，Tian M
，Zheng M
，He H
，Li Z
... -
《BMC GENOMICS》
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