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用于神经母细胞瘤表观遗传药物重新定位的靶向RNA修饰:重新利用药物与疾病之间的计算组学关联性

Target RNA modification for epigenetic drug repositioning in neuroblastoma: computational omics proximity between repurposing drug and disease.

作者信息

Ma Pei, Yue Lifeng, Zhang Sen, Hao Dacheng, Wu Zhihong, Xu Lijia, Du Guanhua, Xiao Peigen

机构信息

Institute of Medicinal Plant Development, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing 100193, China.

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, China.

出版信息

Aging (Albany NY). 2020 Oct 12;12(19):19022-19044. doi: 10.18632/aging.103671.

DOI:10.18632/aging.103671
PMID:33044945
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7732279/
Abstract

RNA modifications modulate most steps of gene expression. However, little is known about its role in neuroblastoma (NBL) and the inhibitors targeting it. We analyzed the RNA-seq (n=122) and CNV data (n=78) from NBL patients in Therapeutically Applicable Research to Generate Effective Treatments (TARGET) database. The NBL sub-clusters (cluster1/2) were identified via consensus clustering for expression of RNA modification regulators (RNA-MRs). Cox regression, principle component analysis and chi-square analysis were used to compare differences of survival, transcriptome, and clinicopathology between clusters. Cluster1 showed significantly poor prognosis, of which RNA-MRs' expression and CNV alteration were closely related to pathologic stage. RNA-MRs and functional related prognostic genes were obtained using spearman correlation analysis, and queried in CMap and L1000 FWD database to obtain 88 inhibitors. The effects of 5 inhibitors on RNA-MRs were confirmed in SH-SY5Y cells. The RNA-MRs exhibited two complementary regulation functions: one conducted by TET2 and related to translation and glycolysis; another conducted by ALYREF, NSUN2 and ADARB1 and related to cell cycle and DNA repair. The perturbed proteomic profile of HDAC inhibitors was different from that of others, thus drug combination overcame drug resistance and was potential for NBL therapy with RNA-MRs as therapeutic targets.

摘要

RNA修饰调控基因表达的大多数步骤。然而,其在神经母细胞瘤(NBL)中的作用以及针对它的抑制剂却鲜为人知。我们分析了治疗应用研究以生成有效治疗方法(TARGET)数据库中NBL患者的RNA测序数据(n = 122)和拷贝数变异(CNV)数据(n = 78)。通过对RNA修饰调节因子(RNA-MRs)表达的一致性聚类来识别NBL亚群(cluster1/2)。使用Cox回归、主成分分析和卡方分析来比较各亚群之间生存、转录组和临床病理的差异。Cluster1显示出显著较差的预后,其中RNA-MRs的表达和CNV改变与病理分期密切相关。使用斯皮尔曼相关分析获得RNA-MRs和功能相关的预后基因,并在CMap和L1000 FWD数据库中进行查询以获得88种抑制剂。在SH-SY5Y细胞中证实了5种抑制剂对RNA-MRs的作用。RNA-MRs表现出两种互补的调节功能:一种由TET2介导,与翻译和糖酵解有关;另一种由ALYREF、NSUN2和ADARB1介导,与细胞周期和DNA修复有关。组蛋白去乙酰化酶抑制剂的蛋白质组学图谱与其他抑制剂不同,因此联合用药克服了耐药性,并且以RNA-MRs作为治疗靶点对NBL治疗具有潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/4e1f81160831/aging-12-103671-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/a07de5c48fcb/aging-12-103671-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/1f967ef6df37/aging-12-103671-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/68ff89b912d8/aging-12-103671-g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/78d9616cf536/aging-12-103671-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/c44526a3a8db/aging-12-103671-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/8bbce6343a40/aging-12-103671-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/01ce285978c7/aging-12-103671-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/4e1f81160831/aging-12-103671-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/a07de5c48fcb/aging-12-103671-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/1f967ef6df37/aging-12-103671-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/68ff89b912d8/aging-12-103671-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/560bc1592dbb/aging-12-103671-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/78d9616cf536/aging-12-103671-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/c44526a3a8db/aging-12-103671-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/8bbce6343a40/aging-12-103671-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/01ce285978c7/aging-12-103671-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1dbf/7732279/4e1f81160831/aging-12-103671-g009.jpg

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