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整合表观基因组学、转录组学和蛋白质组学分析鉴定胃康宁颗粒治疗胃癌的关键靶点及通路。

Integrative analysis of epigenomics, transcriptomics, and proteomics to identify key targets and pathways of Weining granule for gastric cancer.

机构信息

Integrative Medicine Institute, Hunan University of Chinese Medicine, Changsha, 410208, China; Department of Science and Technology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, 541100, China.

Medical College, Guangxi University, Nanning, 530004, China; Department of Science and Technology, Ruikang Hospital Affiliated to Guangxi University of Chinese Medicine, Nanning, 541100, China.

出版信息

J Ethnopharmacol. 2021 Apr 24;270:113787. doi: 10.1016/j.jep.2021.113787. Epub 2021 Jan 7.

Abstract

ETHNOPHARMACOLOGICAL RELEVANCE

Weining granule (WNG) is a "Qi-Enriching and Kidney-Tonifying, Spleen-Reinforcing and Stasis-Removing" formula for gastric cancer (GC). Past research we noted WNG inhibited cell growth and raised apoptosis in GC. However, the underlying mechanism of WNG for GC have yet to be systematically clarified.

AIM OF THE STUDY

We sought to characterize the molecular landscape of GC cells in vitro after WNG treated, to identify the molecular targets and pathways that were associated with WNG for inducing the apoptosis of GC cells, and further to clarify underlying molecular mechanism of WNG for GC.

MATERIALS AND METHODS

We performed the techniques of RNA sequencing, tandem mass tags (TMT) based quantitative proteomics, and reduced representation bisulfite sequencing (RRBS) in WNG-treated/or untreated SGC-7901 GC cells to gain a comprehensive molecular portrait of WNG treatment. Then we integrated methylomics, transcriptomics, and proteomics data to carry out the bioinformatics analysis, and constructed the protein-protein interaction (PPI) network to identify molecular targets, and to discover the underlying signaling pathways associated with WNG for GC by network analysis. Besides, we verified the candidate target genes by Kaplan-Meier plotter database.

RESULTS

We identified 1249 significant differentially expressed genes (DEGs) from RNA expression datasets, 191 significant differentially abunabundant proteins (DAPs) from proteomics datasets, and 8293 significant differentially methylated regions (DMRs) from DNA methylation datasets. GO and KEGG analysis showed DEGs, DAPs, and DMRs enriched in the cancer-related biological processes of calcium signaling pathway, pathways in cancer, metabolic pathways, MAPK signaling pathway, PI3K-Akt signaling pathway, and transcriptional misregulation in cancer. We integrated three profile datasets and performed network analysis to distinguish the hub genes, and finally the genes of SOD2, HMOX1, MMP1, SRXN1, NOTCH1, MAPK14, TXNIP, VEGFA, POLR2F, and HSPA9 were identified. The Kaplan-Meier plotter confirmed that SOD2, MMP1, SRXN1, NOTCH1, MAPK14, TXNIP, VEGFA, and HSPA9 were significantly correlated with OS in GC patients (P < 0.01), while HMOX1 and POLR2F expression were not significantly relevant to survival of GC patients (P > 0.01).

CONCLUSIONS

SOD2, MMP1, SRXN1, NOTCH1, MAPK14, TXNIP, VEGFA, and HSPA9 were the predictive pharmaceutical targets of WNG for GC. The anticancer function of WNG was significantly associated with the pathways of focal adhesion pathway, PI3K-Akt signaling pathway, MAPK signaling pathway, and Wnt signaling pathway.

摘要

民族药理学相关性

胃宁颗粒(WNG)是一种用于治疗胃癌(GC)的“益气补肾、健脾化瘀”方剂。过去的研究表明,WNG 抑制 GC 细胞的生长并促进其凋亡。然而,WNG 诱导 GC 细胞凋亡的作用机制尚未得到系统阐明。

研究目的

本研究旨在探讨 WNG 处理后体外 GC 细胞的分子谱特征,鉴定与 WNG 诱导 GC 细胞凋亡相关的分子靶点和途径,并进一步阐明 WNG 治疗 GC 的潜在分子机制。

材料与方法

我们采用 RNA 测序、串联质量标签(TMT)定量蛋白质组学和还原代表性亚硫酸氢盐测序(RRBS)技术,对 WNG 处理或未处理的 SGC-7901 GC 细胞进行研究,以获得 WNG 处理的全面分子图谱。然后,我们整合甲基组学、转录组学和蛋白质组学数据进行生物信息学分析,并构建蛋白质-蛋白质相互作用(PPI)网络,通过网络分析鉴定与 WNG 治疗 GC 相关的分子靶点和潜在信号通路。此外,我们还通过 Kaplan-Meier plotter 数据库验证了候选靶基因。

结果

我们从 RNA 表达数据集鉴定了 1249 个差异表达基因(DEGs),从蛋白质组学数据集鉴定了 191 个差异丰度蛋白(DAPs),从 DNA 甲基化数据集鉴定了 8293 个差异甲基化区域(DMRs)。GO 和 KEGG 分析显示,DEGs、DAPs 和 DMRs 富集于钙信号通路、癌症相关的生物学过程、癌症途径、代谢途径、MAPK 信号通路、PI3K-Akt 信号通路和癌症转录失调。我们整合了三个谱数据集并进行网络分析,以区分枢纽基因,最终确定了 SOD2、HMOX1、MMP1、SRXN1、NOTCH1、MAPK14、TXNIP、VEGFA、POLR2F 和 HSPA9 为关键基因。Kaplan-Meier plotter 证实,SOD2、MMP1、SRXN1、NOTCH1、MAPK14、TXNIP、VEGFA 和 HSPA9 与 GC 患者的 OS 显著相关(P<0.01),而 HMOX1 和 POLR2F 的表达与 GC 患者的生存无显著相关性(P>0.01)。

结论

SOD2、MMP1、SRXN1、NOTCH1、MAPK14、TXNIP、VEGFA 和 HSPA9 是 WNG 治疗 GC 的预测药物靶点。WNG 的抗癌作用与粘着斑通路、PI3K-Akt 信号通路、MAPK 信号通路和 Wnt 信号通路显著相关。

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