靶向FLRT3的miR-144-3p在下颌骨髓间充质干细胞成骨分化中的作用。

IF 3.8 3区 医学 Q2 GENETICS & HEREDITY
Jingjun Tian, Chen Lv, Tao Xie, Qi Sun, Changyu Liu, Wen Ma, Chaofeng Liu, Renyi Cheng, Kang Yin, Yanhua Xu
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引用次数: 0

摘要

背景:纤维连接蛋白富亮氨酸跨膜蛋白3 (FLRT3)在颅面发育和成骨分化中起着至关重要的作用,然而microRNAs (miRNAs)对FLRT3的调控机制仍未被充分研究。本研究确定miR-144-3p是一种靶向FLRT3的miRNA,并研究其在成骨分化中的作用。这些发现为开发基于mirna的颅面疾病治疗策略提供了基础,并有助于更深入地了解FLRT3参与成骨过程。方法:采用全骨髓和限制性稀释技术分离SD大鼠下颌骨髓间充质干细胞(MBMSCs)。流式细胞术和成骨和脂肪生成的分化实验对细胞进行了表征。利用生物信息学分析鉴定调控FLRT3的miRNA,利用RT-qPCR选择影响最大的miRNA。双荧光素酶报告基因试验验证了mirna和FLRT3之间的相互作用。RT-qPCR检测成骨诱导过程中miR-144-3p的表达。采用碱性磷酸酶和茜素红S染色评估miR-144-3p在成骨分化中的作用。通过RT-qPCR进一步评估miR-144-3p对成骨过程中FLRT3、BMP2和RUNX2表达的影响。结果:MBMSCs呈纺锤形形态,纯度高,增殖能力强,流式细胞术证实CD29和CD90阳性表达。生物信息学分析鉴定出与FLRT3相关的四种mirna: miR-27a-3p、miR-27b-3p、miR-199a-3p和miR-144-3p,其中miR-144-3p相关性最强。双荧光素酶检测证实FLRT3是miR-144-3p的靶基因。功能分析显示miR-144-3p模拟物降低了FLRT3的表达,而抑制剂则增加了FLRT3的表达。在成骨分化过程中,miR-144-3p mimic抑制成骨,而miR-144-3p抑制剂则增强成骨,这与FLRT3、BMP2和RUNX2表达的改变相对应。结论:miR-144-3p通过靶向和调节FLRT3调控MBMSCs的成骨分化,FLRT3是miR-144-3p的直接靶点。在成骨分化过程中,miR-144-3p通过下调FLRT3、BMP2和RUNX2的表达来抑制成骨。本研究不仅阐明了mirna介导的成骨调控机制,也为下颌骨缺损修复提供了一种新的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
miR-144-3p targeting FLRT3 in osteogenic differentiation of mandibular bone marrow mesenchymal stem cells.

Background: Fibronectin Leucine-Rich Transmembrane Protein 3 (FLRT3) plays a crucial role in craniofacial development and osteogenic differentiation, yet the regulatory mechanisms of microRNAs (miRNAs) on FLRT3 remain largely unexplored. This study identifies miR-144-3p as a miRNA that targets FLRT3 and investigates its role in osteogenic differentiation. These findings provide a foundation for the development of miRNA-based therapeutic strategies for craniofacial diseases and contribute to a deeper understanding of FLRT3's involvement in osteogenesis.

Methods: Mandibular bone marrow mesenchymal stem cells (MBMSCs) were isolated from SD rats using whole bone marrow and limiting dilution techniques. Flow cytometry and differentiation assays for osteogenesis and adipogenesis were conducted to characterize the cells. Bioinformatics analysis was employed to identify miRNAs that regulate FLRT3, with RT-qPCR used to select the most influential miRNA. A dual-luciferase reporter assay was performed to validate the interaction between the miRNAs and FLRT3. RT-qPCR measured miR-144-3p expression during osteogenic induction. Alkaline phosphatase and Alizarin Red S staining were used to assess the role of miR-144-3p in osteogenic differentiation. The impact of miR-144-3p on FLRT3, BMP2, and RUNX2 expression during osteogenesis was further evaluated by RT-qPCR.

Results: MBMSCs exhibited spindle-shaped morphology, high purity, and robust proliferative capacity, with flow cytometry confirming positive expression of CD29 and CD90. Bioinformatics analysis identified four miRNAs associated with FLRT3: miR-27a-3p, miR-27b-3p, miR-199a-3p, and miR-144-3p, with miR-144-3p showing the strongest correlation. Dual-luciferase assays confirmed that FLRT3 is a target gene of miR-144-3p. Functional assays revealed that the miR-144-3p mimic decreased FLRT3 expression, while the inhibitor increased it. During osteogenic differentiation, miR-144-3p mimic inhibited osteogenesis, while the inhibitor enhanced it, corresponding to alterations in the expression of FLRT3, BMP2, and RUNX2.

Conclusion: miR-144-3p regulates the osteogenic differentiation of MBMSCs by targeting and modulating FLRT3, with FLRT3 being a direct target of miR-144-3p. During osteogenic differentiation, miR-144-3p inhibits osteogenesis by downregulating FLRT3, BMP2, and RUNX2 expression. This study not only elucidates the miRNA-mediated regulatory mechanism in osteogenesis but also offers a novel strategy for mandibular bone defect repair.

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来源期刊
Human Genomics
Human Genomics GENETICS & HEREDITY-
CiteScore
6.00
自引率
2.20%
发文量
55
审稿时长
11 weeks
期刊介绍: Human Genomics is a peer-reviewed, open access, online journal that focuses on the application of genomic analysis in all aspects of human health and disease, as well as genomic analysis of drug efficacy and safety, and comparative genomics. Topics covered by the journal include, but are not limited to: pharmacogenomics, genome-wide association studies, genome-wide sequencing, exome sequencing, next-generation deep-sequencing, functional genomics, epigenomics, translational genomics, expression profiling, proteomics, bioinformatics, animal models, statistical genetics, genetic epidemiology, human population genetics and comparative genomics.
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