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通过分析鞣花酸的转录组图谱来研究其一般分子机制。

Investigation of the General Molecular Mechanisms of Gallic Acid via Analyses of Its Transcriptome Profile.

机构信息

Laboratory of Theriogenology and Biotechnology, Department of Veterinary Clinical Science, College of Veterinary Medicine and the Research Institute of Veterinary Science, Seoul National University, Seoul 08826, Republic of Korea.

Plant Cell Research Institute of BIO-FD&C Co., Ltd., Incheon 21990, Republic of Korea.

出版信息

Int J Mol Sci. 2024 Feb 15;25(4):2303. doi: 10.3390/ijms25042303.

DOI:10.3390/ijms25042303
PMID:38396979
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10888745/
Abstract

Gallic acid (GA), a phenolic compound naturally found in many plants, exhibits potential preventive and therapeutic roles. However, the underlying molecular mechanisms of its diverse biological activities remain unclear. Here, we investigated possible mechanisms of GA function through a transcriptome-based analysis using LINCS L1000, a publicly available data resource. We compared the changes in the gene expression profiles induced by GA with those induced by FDA-approved drugs in three cancer cell lines (A549, PC3, and MCF7). The top 10 drugs exhibiting high similarity with GA in their expression patterns were identified by calculating the connectivity score in the three cell lines. We specified the known target proteins of these drugs, which could be potential targets of GA, and identified 19 potential targets. Next, we retrieved evidence in the literature that GA likely binds directly to DNA polymerase β and ribonucleoside-diphosphate reductase. Although our results align with previous studies suggesting a direct and/or indirect connection between GA and the target proteins, further experimental investigations are required to fully understand the exact molecular mechanisms of GA. Our study provides insights into the therapeutic mechanisms of GA, introducing a new approach to characterizing therapeutic natural compounds using transcriptome-based analyses.

摘要

没食子酸(GA)是一种天然存在于许多植物中的酚类化合物,具有潜在的预防和治疗作用。然而,其多种生物活性的潜在分子机制尚不清楚。在这里,我们通过使用公共可用的数据集 LINCS L1000 进行基于转录组的分析,研究了 GA 功能的可能机制。我们比较了 GA 诱导的基因表达谱变化与三种癌细胞系(A549、PC3 和 MCF7)中 FDA 批准药物诱导的基因表达谱变化。通过计算三种细胞系中的连通性评分,确定了与 GA 在表达模式上具有高度相似性的前 10 种药物。我们指定了这些药物的已知靶蛋白,这些靶蛋白可能是 GA 的潜在靶标,并鉴定出 19 个潜在靶标。接下来,我们检索了文献中的证据,表明 GA 可能直接结合 DNA 聚合酶β和核糖核苷酸二磷酸还原酶。尽管我们的结果与之前的研究一致,表明 GA 与靶蛋白之间存在直接和/或间接的联系,但仍需要进一步的实验研究来充分了解 GA 的确切分子机制。我们的研究为 GA 的治疗机制提供了新的视角,为使用基于转录组的分析来表征治疗性天然化合物提供了一种新方法。

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