在多形质母细胞瘤中 lncRNA/circRNA-miRNA-mRNA 的测序和生物信息学分析

在多形质母细胞瘤中 lncRNA/circRNA-miRNA-mRNA 的测序和生物信息学分析

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Renjie Wang^1,2, Qi Li³, Xiaolei Chu³

¹Academy of Medical Engineering and Translational Medicine, Tianjin University, Tianjin, 300072, China.

Metabolic brain disease

|June 30, 2023

概括

这项研究揭示了在多种质母细胞瘤 (GBM) 中非编码RNA表达的关键差异. 已识别出具有竞争性的内源RNA (ceRNA) 网络,为GBM治疗提供了潜在的新治疗点.

科学领域:

在瘤学瘤学.
分子生物学分子生物学
基因组学就是基因组学.

背景情况:

非编码RNA在多种质母细胞瘤 (GBM) 中发挥作用.
在GBM中涉及竞争的内源RNA (ceRNA) 的调控机制尚不清楚.
需要对GBM中的RNA表达变化的全面分析.

研究的目的:

在GBM患者中广泛分析circRNA,lncRNA,miRNA和mRNA表达.
调查差异表达RNA并确定潜在的ceRNA网络.
发现GBM的新型治疗点.

主要方法:

在GBM患者和健康对照组中进行了RNA测序.
分析包括对差异表达的circRNAs (DECs),lncRNAs (DELs),miRNAs (DEMs) 和mRNAs (DEGs) 的鉴定.
蛋白与蛋白相互作用 (PPI) 网络分析被用来识别枢纽基因,其次是ceRNA网络构建.

主要成果:

在GBM患者和对照人群之间,在1224个DEC,1406个DEL,229个DEM和2740个DEG的表达中发现了显著的差异.
CEACAM5,CXCL17,FAM83A,TMPRSS4和GGPRC5A被确定为关键的中心基因.
构建了一个包含8个circRNA,7个lncRNA,16个miRNA和17个mRNA的ceRNA网络.

结论:

已识别的ceRNA相互作用轴代表了GBM潜在的关键治疗点.
这项研究为了解GBM中ceRNA调节网络提供了基础.
对这些ceRNA网络的进一步调查可能会导致新的GBM治疗策略.

关键词:

生物信息学是一种生物信息学.在GBMGBMGBMGBMGBM 通过RNA测序进行RNA测序.ceRNARNA是什么意思在 lncRNA/circRNA-miRNA-mRNA 中.

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