LncRNA profile of glioblastoma reveals the potential role of lncRNAs in contributing to glioblastoma pathogenesis
LncRNA profile of glioblastoma reveals the potential role of lncRNAs in contributing to glioblastoma pathogenesis
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胶质母细胞瘤的 lncRNA 谱揭示了 lncRNA 在胶质母细胞瘤发病机制中的潜在作用
DOI：
10.3892/ijo.2012.1413
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发表时间：
2012-06-01
影响因子：
5.2
通讯作者：
Kang, Chunsheng
中科院分区：
文献类型：
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作者：
Han, Lei;Zhang, Kailiang;Kang, Chunsheng
长链非编码RNA（longnon-codingRNA，lncRNA）是近年来发现的一类重要的调控分子，参与了多种生物学过程和复杂疾病的发生发展。我们的目的是通过比较胶质母细胞瘤（GBM）和正常脑组织的lncRNA和mRNA谱，确定可能在GBM发病机制中发挥重要作用的重要lncRNA。采用基因芯片技术分析GBM患者和年龄匹配的非GBM疾病供体组织中lncRNA和mRNA的差异表达。我们提出了一种新的模型，用于识别lncRNA-mRNA靶向关系，该模型将差异表达的lncRNA的潜在靶点与差异表达的mRNA丰度数据联合收割机相结合。对预测的靶基因进行生物信息学分析（基因本体、通路和网络分析），为进一步研究奠定基础。lncRNA微阵列揭示了GBM和正常脑组织之间差异表达的lncRNA。在GBM组中，654个lncRNA上调，654个下调（倍数变化>= 4.0或
Long non-coding RNAs (lncRNAs) have recently emerged as a major class of regulatory molecules involved in a broad range of biological processes and complex diseases. Our aim was to identify important lncRNAs that might play an important role in contributing to glioblastoma (GBM) pathogenesis by conducting lncRNA and mRNA profile comparison between GBM and normal brain tissue. The differentially expressed lncRNA and mRNA profiles of the tissue between GBM patient and age-matched donor without GBM diseases were analyzed using microarrays. We propose a novel model for the identification of lncRNA-mRNA targeting relationships that combine the potential targets of the differentially expressed lncRNAs with the differentially expressed mRNA abundance data. Bioinformatic analysis of the predicted target genes (gene ontology, pathway and network analysis) was performed for further research. The lncRNA microarray reveals differentially expressed lncRNAs between GBM and normal brain tissues. In the GBM group, 654 lncRNAs were upregulated and 654 were downregulated (fold change >= 4.0 or