Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis
文献类型：期刊论文
| 作者 | Bing, Zhi-Tong1 ; Yang, Guang-Hui1,2; Xiong, Jie3; Guo, Ling4; Yang, Lei1
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| 刊名 | IET SYSTEMS BIOLOGY
 |
| 出版日期 | 2016-12-01 |
| 卷号 | 10页码:244-251 |
| 关键词 | RNA molecular biophysics genetics cancer signature regulatory network glioblastoma prognosis mRNA coexpression analysis miRNA coexpression analysis glioblastoma multiforme brain tumour microRNAs pathogenesis genome-wide regulatory networks miRNA-mRNA pairs weighted gene coexpression network analysis survival analysis GBM prognosis integration analysis neuropilin-1 gene module turquoise molecular regulatory mechanisms |
| ISSN号 | 1751-8849 |
| DOI | 10.1049/iet-syb.2016.0004 |
| 英文摘要 | Glioblastoma multiforme (GBM) is the most common and aggressive type of primary brain tumor in adults. Patients with this disease have a poor prognosis. The objective of this study is to identify survival-related individual genes (or miRNAs) and miRNA -mRNA pairs in GBM using a multi-step approach. First, the weighted gene co-expression network analysis and survival analysis are applied to identify survival-related modules from mRNA and miRNA expression profiles, respectively. Subsequently, the role of individual genes (or miRNAs) within these modules in GBM prognosis are highlighted using survival analysis. Finally, the integration analysis of miRNA and mRNA expression as well as miRNA target prediction is used to identify survival-related miRNA -mRNA regulatory network. In this study, five genes and two miRNA modules that significantly correlated to patient's survival. In addition, many individual genes (or miRNAs) assigned to these modules were found to be closely linked with survival. For instance, increased expression of neuropilin-1 gene (a member of module turquoise) indicated poor prognosis for patients and a group of miRNA -mRNA regulatory networks that comprised 38 survival-related miRNA -mRNA pairs. These findings provide a new insight into the underlying molecular regulatory mechanisms of GBM. |
| WOS关键词 | STEM-CELLS ; BRAIN-TUMORS ; PROBE LEVEL ; GLIOMA ; EXPRESSION ; PROLIFERATION ; CANCER ; HETEROGENEITY ; SURVIVAL ; PATHWAY |
| WOS研究方向 | Cell Biology ; Mathematical & Computational Biology |
| 语种 | 英语 |
| WOS记录号 | WOS:000389473600006 |
| 出版者 | INST ENGINEERING TECHNOLOGY-IET |
| 源URL | [http://119.78.100.186/handle/113462/43832]  |
| 专题 | 中国科学院近代物理研究所 |
| 通讯作者 | Yang, Lei |
| 作者单位 | 1.Chinese Acad Sci, Inst Modern Phys, Dept Computat Phys, Lanzhou 730000, Peoples R China 2.Chinese Acad Sci, Grad Sch, Dept Phys, Beijing 100049, Peoples R China 3.Hunan Normal Univ, Dept Internal Med, Coll Med, Changsha 410006, Hunan, Peoples R China 4.Northwest Univ National, Coll Elect Engn, Lanzhou 730030, Peoples R China |
| 推荐引用方式 GB/T 7714 | Bing, Zhi-Tong,Yang, Guang-Hui,Xiong, Jie,et al. Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis[J]. IET SYSTEMS BIOLOGY,2016,10:244-251. |
| APA | Bing, Zhi-Tong,Yang, Guang-Hui,Xiong, Jie,Guo, Ling,&Yang, Lei.(2016).Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis.IET SYSTEMS BIOLOGY,10,244-251. |
| MLA | Bing, Zhi-Tong,et al."Identify signature regulatory network for glioblastoma prognosis by integrative mRNA and miRNA co-expression analysis".IET SYSTEMS BIOLOGY 10(2016):244-251. |
入库方式： OAI收割
来源：近代物理研究所
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