Department of Prosthodontics and Implant Dentistry, The First Affiliated Hospital of Xinjiang Medical University, Xin Jiang Uygur Autonomous Region, 830054, Urumqi, China.
Affiliated Stomatological Hospital of Xinjiang Medical University, Xin Jiang Uygur Autonomous Region, 830054, Urumqi, China.
BMC Genomics. 2022 Jun 7;23(1):425. doi: 10.1186/s12864-022-08646-x.
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.
长非编码 RNA(lncRNA)在骨髓间充质干细胞(BMMSCs)的成骨分化中发挥关键作用,涉及竞争性内源性 RNA(ceRNA)机制的调节和信号通路的传导。然而,其机制尚不清楚。本研究旨在探讨大鼠 BMMSCs(rBMMSCs)成骨分化过程中的 lncRNA、miRNA 和 mRNA 表达谱,筛选潜在的关键 lncRNA-miRNA-mRNA 网络,探讨其潜在功能,鉴定关键分子,为研究 lncRNA 驱动 rBMMSCs 成骨分化的潜在机制提供依据,为骨缺损的管理提供分子靶点。
采用高通量 RNA 测序(RNA-seq)技术分析 14 天 rBMMSCs 成骨分化时的 lncRNA、miRNA 和 mRNA 表达谱。通过测序数据和生物信息学分析预测关键的 lncRNA-miRNA 和 miRNA-mRNA 网络,并通过 Cytoscape 3.9.0 软件导出结果。采用基因本体(GO)分析和京都基因与基因组百科全书(KEGG)分析进行功能探索。实时定量逆转录聚合酶链反应(qRT-PCR)验证 lncRNA、miRNA 和 mRNA。
鉴定了 rBMMSCs,并检测了其成骨和成脂分化能力。通过 RNA-seq 共检测到 8634 个 lncRNA,其中 1524 个差异表达 lncRNA,与对照组相比,骨诱导组中有 812 个上调和 712 个下调。共检测到 30 个上调和 61 个下调的 miRNA,总共有 91 个 miRNA 差异表达。检测到 2453 个差异表达的 mRNAs,其中 1272 个上调和 1181 个下调。选择 10 个上调的 lncRNA 预测 21 个下调的 miRNA 和 650 个上调的 mRNAs。构建了 49 个 lncRNA-miRNA 和 1515 个 miRNA-mRNA 相互作用网络。GO 分析显示,细胞成分和分子功能最重要的富集分别是“细胞质”和“蛋白质结合”。与成骨分化相关的生物学过程,如“细胞增殖”、“伤口愈合”、“细胞迁移”、“成骨细胞分化”、“细胞外基质组织”和“缺氧反应”等都有富集。KEGG 分析表明,差异表达基因主要富集在“PI3K-Akt 信号通路”、“调节干细胞多能性的信号通路”、“cGMP-PKG 信号通路”、“轴突导向”和“钙信号通路”。qRT-PCR 验证了 lncRNA Tug1、lncRNA AABR07011996.1、rno-miR-93-5p、rno-miR-322-5p、Sgk1 和 Fzd4 与测序结果一致,并构建了基于验证的 4 个 lncRNA-miRNA-mRNA 网络,富集途径与“PI3K-Akt 信号通路”、“调节干细胞多能性的信号通路”和“Wnt 信号通路”密切相关。
lncRNA、miRNA 和 mRNA 表达谱为进一步研究其在 BMMSCs 成骨分化中的作用提供了线索。此外,lncRNA-miRNA-mRNA 网络为管理骨缺损的潜在新机制和靶点提供了更多信息。