Multiomics integration reveals the effect of Orexin A on glioblastoma.
Multiomics integration reveals the effect of Orexin A on glioblastoma.
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DOI：
10.3389/fphar.2023.1096159
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发表时间：
2023
影响因子：
5.6
通讯作者：
中科院分区：
文献类型：
--
作者：
目的：本研究通过对胶质母细胞瘤（GBM）样本进行多组学分析，阐述药物治疗的潜在机制。方法：通过测序分析获得经或不经促食欲素A处理的GBM细胞。筛选差异表达基因/蛋白/代谢物（DEGs/ DEPs/ DEMs）。接下来，我们进行了联合分析，以探讨两组之间的共同途径和相关性。最后，通过转录组-蛋白质组-代谢组关联分析确定共同通路，并在公共数据库中通过Kaplan-Meier （K-M）生存分析分析这些通路中的基因。通过细胞和动物实验研究食欲素A的抗胶质瘤活性。结果：共发现deg 1527个，dep 52个，dem 153个。此外，组合分析显示，转录组-蛋白质组、蛋白质组-代谢组和转录组-代谢组中分别存在6条、4条和1条共同通路。在两个数据集之间观察到一定的相关性。最后，通过关联分析发现了11条共同通路，并在这些共同通路中筛选出138个共同基因。6个基因在TCGA和CGGA患者的生存率上均有显著差异。此外，orexin A在体外和体内均能抑制胶质瘤的增殖、迁移和侵袭。结论：在不同组学参与中发现了11条共同的KEGG通路和6个共同基因，揭示了不同组学中的潜在机制，为药物治疗的多组学研究提供了理论依据和参考。
Objectives: This study involved a multi-omics analysis of glioblastoma (GBM) samples to elaborate the potential mechanism of drug treatment. Methods: The GBM cells treated with or without orexin A were acquired from sequencing analysis. Differentially expressed genes/proteins/metabolites (DEGs/ DEPs/ DEMs) were screened. Next, combination analyses were conducted to investigate the common pathways and correlations between the two groups. Lastly, transcriptome-proteome-metabolome association analysis was carried out to determine the common pathways, and the genes in these pathways were analyzed through Kaplan-Meier (K-M) survival analysis in public databases. Cell and animal experiments were performed to investigate the anti-glioma activity of orexin A. Results: A total of 1,527 DEGs, 52 DEPs, and 153 DEMs were found. Moreover, the combination analyses revealed that 6, 4, and 1 common pathways were present in the transcriptome-proteome, proteome-metabolome, and transcriptome-metabolome, respectively. Certain correlations were observed between the two data sets. Finally, 11 common pathways were discovered in association analysis, and 138 common genes were screened out in these common pathways. Six genes showed significant differences in terms of survival in both TCGA and CGGA. In addition, orexin A inhibited the proliferation, migration, and invasion of glioma in vitro and in vivo. Conclusion: Eleven common KEGG pathways with six common genes were found among different omics participations, revealing the underlying mechanisms in different omics and providing theoretical basis and reference for multi-omics research on drug treatment.
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影响因子：
5.5
作者：
Huang R;Liu Y;Wang K;Wang Z;Zhang C;Zhang W;Zhao Z;Li G;Huang L;Chang Y;Zeng F;Jiang T;Hu H
通讯作者：
Hu H
影响因子：
4.8
作者：
Ammoun, S;Lindholm, D;Kukkonen, JP
通讯作者：
Kukkonen, JP
影响因子：
15.9
作者：
Hoogstrate Y;Ghisai SA;de Wit M;de Heer I;Draaisma K;van Riet J;van de Werken HJG;Bours V;Buter J;Vanden Bempt I;Eoli M;Franceschi E;Frenel JS;Gorlia T;Hanse MC;Hoeben A;Kerkhof M;Kros JM;Leenstra S;Lombardi G;Lukacova S;Robe PA;Sepulveda JM;Taal W;Taphoorn M;Vernhout RM;Walenkamp AME;Watts C;Weller M;de Vos FYF;Jenster GW;van den Bent M;French PJ
通讯作者：
French PJ
影响因子：
12.4
作者：
Ham, Seok Won;Jeon, Hee-Young;Kim, Hyunggee
通讯作者：
Kim, Hyunggee
影响因子：
3.9
作者：
de Jong E;Bosco A
通讯作者：
Bosco A