Differential lncRNA expression profiles in recurrent gliomas compared with primary gliomas identified by microarray analysis.
作者： Yi Chen , Jian-Jin Wu , Xian-Bin Lin , Yi Bao , Zhen-Hua Chen
DOI:
关键词: Bioinformatics 、 Mechanism (biology) 、 Microarray 、 Pathogenesis 、 Microarray analysis techniques 、 Cancer 、 Glioma 、 Biology 、 Fold change 、 Gene
摘要: Glioma, especially high-grade glioma, is highly malignant with high rate of recurrence and poor prognosis. The mechanisms glioma progression have not been elucidated. Previous studies showed that long non-coding RNAs (lncRNAs) involved in the development glioma. However, roles lncRNAs remain unknown. We use throughput microarray to screen differentially expressed mRNAs gliomas compared primary gliomas. found a total 1,111 were recurrent group. Among these, 639 up-regulated, while 472 down-regulated (fold Change ≥2.0). GO (Gene ontology) pathway analysis revealed potential functions closely connected processes cancer pathogenesis. LncRNA classification subgroup further identified three important clusters lncRNA-mRNA pairs which gene regulatory functions. This study for first time abundant Some may play recurrence, such as previously reported H19, CRNDE, HOTAIRM1 or unreported AC016745.3, XLOC_001711, RP11-128A17.1. Moreover, this set basis future researches on specific lncRNA contribute Further these will help elucidate mechanism at genetic level find therapeutic targets patients.
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