Dai Miaomiao, Hong Weisheng, Ouyang Yi
Department of Ophthalmology Shunde Hospital Southern Medical University (The First People's Hospital of Shunde, Foshan), No. 1 Jiazi Road, Lunjiao, Shunde District, Foshan City, Guangdong Province, China.
Department of Joint Surgery Shunde Hospital Southern Medical University (The First People's Hospital of Shunde, Foshan), No. 1 Jiazi Road, Lunjiao, Shunde District, Foshan City, Guangdong Province, China.
Stem Cells Int. 2024 Aug 29;2024:5789593. doi: 10.1155/2024/5789593. eCollection 2024.
Adipogenic differentiation stands as a crucial pathway in the range of differentiation options for mesenchymal stem cells (MSCs), carrying significant importance in the fields of regenerative medicine and the treatment of conditions such as obesity and osteoporosis. However, the exact mechanisms that control the adipogenic differentiation of MSCs are not yet fully understood.
We procured datasets, namely GSE36923, GSE80614, GSE107789, and GSE113253, from the Gene Expression Omnibus database. These datasets enabled us to perform a systematic analysis, including the identification of differentially expressed genes (DEGs) pre- and postadipogenic differentiation in MSCs. Subsequently, we conducted an exhaustive analysis of DEGs common to all four datasets. To gain further insights, we subjected these overlapped DEGs to comprehensive gene ontology enrichment and Kyoto Encyclopedia of Genes and Genomes pathway analyses. Following the construction of protein-protein interaction (PPI) networks, we meticulously identified a cohort of hub genes pivotal to the adipogenic differentiation process and validated them using real-time quantitative polymerase chain reaction. Subsequently, we ventured into the construction of miRNA-gene and TF-gene interaction networks.
Our rigorous analysis revealed a total of 18 upregulated DEGs and 12 downregulated DEGs that consistently appeared across all four datasets. Notably, the peroxisome proliferator-activated receptor signaling pathway, regulation of lipolysis in adipocytes, and the adipocytokine signaling pathway emerged as the top-ranking pathways significantly implicated in the regulation of these DEGs. Subsequent to the construction of the PPI network, we identified and validated 10 key node genes, namely IL6, FABP4, ADIPOQ, LPL, PLIN1, RBP4, ACACB, NT5E, KRT19, and G0S2. Our endeavor to construct miRNA-gene interaction networks led to the discovery of the top 10 pivotal miRNAs, including hsa-mir-27a-3p, hsa-let-7b-5p, hsa-mir-1-3p, hsa-mir-124-3p, hsa-mir-155-5p, hsa-mir-16-5p, hsa-mir-101-3p, hsa-mir-21-3p, hsa-mir-146a-5p, and hsa-mir-148b-3p. Furthermore, the construction of TF-gene interaction networks revealed the top 10 critical TFs: ZNF501, ZNF512, YY1, EZH2, ZFP37, ZNF2, SOX13, MXD3, ELF3, and TFDP1.
In summary, our comprehensive study has successfully unraveled the pivotal hub genes that govern the adipogenesis of MSCs. Moreover, the meticulously constructed miRNA-gene and TF-gene interaction networks are poised to significantly augment our comprehension of the intricacies underlying MSC adipogenic differentiation, thus providing a robust foundation for future advances in regenerative biology.
脂肪生成分化是间充质干细胞(MSCs)多种分化途径中的关键路径,在再生医学以及肥胖症和骨质疏松症等疾病的治疗领域具有重要意义。然而,控制MSCs脂肪生成分化的确切机制尚未完全明确。
我们从基因表达综合数据库获取了数据集GSE36923、GSE80614、GSE107789和GSE113253。这些数据集使我们能够进行系统分析,包括鉴定MSCs脂肪生成分化前后的差异表达基因(DEGs)。随后,我们对所有四个数据集共有的DEGs进行了详尽分析。为了深入了解,我们对这些重叠的DEGs进行了全面的基因本体富集和京都基因与基因组百科全书通路分析。构建蛋白质-蛋白质相互作用(PPI)网络后,我们精心鉴定了一组对脂肪生成分化过程至关重要的枢纽基因,并使用实时定量聚合酶链反应对其进行验证。随后,我们着手构建miRNA-基因和TF-基因相互作用网络。
我们的严格分析显示,在所有四个数据集中一致出现了18个上调的DEGs和12个下调的DEGs。值得注意的是,过氧化物酶体增殖物激活受体信号通路、脂肪细胞中脂解的调节以及脂肪细胞因子信号通路成为与这些DEGs调节显著相关的排名靠前的通路。构建PPI网络后,我们鉴定并验证了10个关键节点基因,即IL6、FABP4、ADIPOQ、LPL、PLIN1、RBP4、ACACB、NT5E、KRT19和G0S2。我们构建miRNA-基因相互作用网络的努力发现了前10个关键miRNA,包括hsa-mir-27a-3p、hsa-let-7b-5p、hsa-mir-1-3p、hsa-mir-124-3p、hsa-mir-155-5p、hsa-mir-16-5p、hsa-mir-101-3p、hsa-mir-21-3p、hsa-mir-146a-5p和hsa-mir-148b-3p。此外,TF-基因相互作用网络的构建揭示了前10个关键转录因子:ZNF501、ZNF512、YY1、EZH2、ZFP37、ZNF2、SOX13、MXD3、ELF3和TFDP1。
总之,我们的综合研究成功揭示了控制MSCs脂肪生成的关键枢纽基因。此外,精心构建的miRNA-基因和TF-基因相互作用网络将显著增强我们对MSCs脂肪生成分化潜在复杂性的理解,从而为再生生物学的未来进展提供坚实基础。