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基于微小RNA芯片和生物信息学策略探索黄芩苷干预乳腺癌的机制

Exploring the Mechanism of Baicalin Intervention in Breast Cancer Based on MicroRNA Microarrays and Bioinformatics Strategies.

作者信息

Ge Anqi, Liu Lifang, Deng Xian'guang, Luo Jun, Xu Yanghua

机构信息

The First Affiliated Hospital of Hunan University of Chinese Medicine, Changsha, Hunan, China.

Hunan University of Chinese Medicine, Changsha, Hunan, China.

出版信息

Evid Based Complement Alternat Med. 2021 Dec 20;2021:7624415. doi: 10.1155/2021/7624415. eCollection 2021.

Abstract

OBJECTIVE

To explore the mechanism of baicalin intervention in breast cancer based on microRNA microarrays.

METHODS

The inhibitory rate of baicalin intervention in MCF-7 breast cancer cells was determined by MTT. Then, the miRNA microarrays were used to validate the key microRNAs. After that, reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used to validate microRNA, hsa-miR-15a, hsa-miR-100, hsa-miR-16, and hsa-miR-7t. Finally, the potential targets of these key microRNAs are predicted by miRWalk, and DAVID was utilized for gene ontology (GO) enrichment analysis and pathway enrichment analysis.

RESULTS

Baicalin may inhibit the proliferation of MCF-7 cells in a dose-dependent and time-dependent manner. The concentration of baicalin 150 mol/L was determined for the subsequent miRNA chip research. A total of 92 upregulated microRNAs and 35 downregulated microRNAs were obtained. The upregulated miRNAs include hsa-miR-6799-5p, hsa-miR-6126, hsa-miR-4792, hsa-miR-6848-5p, hsa-miR-3197, hsa-miR-6779-5p, and hsa-miR -654-5p. The downregulated miRNAs include hsa-miR-3911, hsa-miR-504-5p, hsa-miR-30a-3p, hsa-miR-193b-3p, and hsa-miR-181b-5p. Then, differentially expressed miRNA was verified by qRT-PCR. The results showed that the expression of hsa-miR-15a, hsa-miR-100, hsa-miR-16, and hsa-let-7c was upregulated ( < 0.05), which was consistent with the results of the miRNA microarray. The enrichment analysis showed that baicalin might regulate the DNA-templated proliferation, DNA-templated transcription, p53 signaling pathway, etc., of MCF-7 breast cancer cells through miRNA.

CONCLUSION

Baicalin inhibits the proliferation of breast cancer cells. It may achieve antitumor effects through regulating microRNAs so as to affect the DNA replication (such as cellular response to DNA damage stimulus and DNA binding), RNA transcription (such as regulation of transcription, DNA-templated, transcription from RNA polymerase II promoter, and transcription factor binding), protein synthesis (such as mRNA binding, Golgi apparatus, and protein complex), endocytosis, pathways in cancer, p53 signaling pathway, and so on.

摘要

目的

基于微小RNA芯片探讨黄芩苷干预乳腺癌的机制。

方法

采用MTT法测定黄芩苷干预MCF-7乳腺癌细胞的抑制率。然后,利用微小RNA芯片验证关键微小RNA。之后,采用逆转录-定量聚合酶链反应(RT-qPCR)验证微小RNA hsa-miR-15a、hsa-miR-100、hsa-miR-16和hsa-miR-7t。最后,通过miRWalk预测这些关键微小RNA的潜在靶标,并利用DAVID进行基因本体(GO)富集分析和通路富集分析。

结果

黄芩苷可能以剂量和时间依赖性方式抑制MCF-7细胞的增殖。确定将150μmol/L的黄芩苷浓度用于后续的微小RNA芯片研究。共获得92个上调的微小RNA和35个下调的微小RNA。上调的微小RNA包括hsa-miR-6799-5p、hsa-miR-6126、hsa-miR-4792、hsa-miR-6848-5p、hsa-miR-3197、hsa-miR-6779-5p和hsa-miR-654-5p。下调的微小RNA包括hsa-miR-3911、hsa-miR-504-5p、hsa-miR-30a-3p、hsa-miR-193b-3p和hsa-miR-181b-5p。然后,通过qRT-PCR验证差异表达的微小RNA。结果显示,hsa-miR-15a、hsa-miR-100、hsa-miR-16和hsa-let-7c的表达上调(P<0.05),这与微小RNA芯片的结果一致。富集分析表明,黄芩苷可能通过微小RNA调节MCF-7乳腺癌细胞的DNA模板化增殖、DNA模板化转录、p53信号通路等。

结论

黄芩苷抑制乳腺癌细胞的增殖。它可能通过调节微小RNA来实现抗肿瘤作用,从而影响DNA复制(如细胞对DNA损伤刺激的反应和DNA结合)、RNA转录(如转录调控、DNA模板化、RNA聚合酶II启动子的转录以及转录因子结合)、蛋白质合成(如mRNA结合、高尔基体和蛋白质复合物)、内吞作用、癌症相关通路、p53信号通路等。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7242/8712139/56e94265c02b/ECAM2021-7624415.001.jpg

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