应用微阵列芯片分析人髓母细胞瘤及瘤旁组织miRNA 表达谱差异

doi:10.3785/j.issn.1006-7795.2009.03.021

首都医科大学学报 ›› 2009, Vol. 30 ›› Issue (3): 355-359.doi: 10.3785/j.issn.1006-7795.2009.03.021

应用微阵列芯片分析人髓母细胞瘤及瘤旁组织miRNA 表达谱差异

刘巍¹, 晁腾飞², 龚燕华², 袁建刚², 甲戈¹, 马振宇¹, 赵继宗¹

1. 首都医科大学附属北京天坛医院神经外科;2. 中国医学科学院北京协和医学院基础医学研究所医学分子生物学与国家重点实验室

收稿日期:2008-09-12 修回日期:1900-01-01 出版日期:2009-06-21 发布日期:2009-06-21
通讯作者: 赵继宗

Microarray-based miRNAs Profiling in Human Medulloblastomas

LIU Wei¹, CHAO Teng-fei², GONG Yan-hua², YUAN Jian-gang², JIA Ge¹, MA Zhen-yu¹, ZHAO Ji-zong¹

1. Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University;2. National Laboratory of Medical Molecular Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College

Received:2008-09-12 Revised:1900-01-01 Online:2009-06-21 Published:2009-06-21

摘要/Abstract

摘要： 目的检测人髓母细胞瘤(medulloblastomas,MB)与非肿瘤脑组织中微小RNA(miRNA)的表达差异情况,探讨异常表达miRNA参与MB发生的可能分子机制。方法选取经手术切除的MB组织标本及瘤旁正常小脑组织,分别提取总RNA和小分子RNA,在miRNA微阵列芯片中杂交检测,通过芯片扫描和数据分析,并通过实时荧光定量RT-PCR验证,获得该病异常miRNAs表达谱。结果筛选出9个MB的相关miRNAs,其中表达上调4个,表达下调5个。其中miR-17、miR-100、miR-106b和miR-218的差异表达情况得到定量RT-PCR的证实。结论 miRNA微阵列分析技术是一种快速、高效的研究生物信息的分子生物学技术;筛选出的差异表达miRNAs可能参与MB发病,为此病诊治提供了新的思路,值得进一步研究。

关键词: 髓母细胞瘤, 微小RNA, 微阵列, 靶基因, 肿瘤发生

Abstract: Objective To screen the differentially expressed microRNAs(miRNAs) in medulloblastomas(MB) using miRNA microarray and to explore the relationship between pathogenesis and miRNAs aberrantly expressed in MB. Methods The tumor tissue MB and normal cerebellar tissue adjacent to MB tumors were obtained from sporadic MB undergoing surgical resection. Total RNA, including the small RNAs, was extracted and isolated respectively. Hybridization was carried out on miRNA microarray chip. Real-time quantitative RT-PCR was performed to confirm results obtained by microarray analysis. Results Nine miRNAs have been identified, 4 of them were up-regulated and the remaining five were down-regulated in cancer tissues. The differential expression of miR-17, miR-100 and miR-106b and miR-218 was confirmed by microarray analysis. Conclusion MiRNA microarray analysis is a high-throughput, comprehensive molecular biological technology. The aberrant expression of miRNA genes in this study may be involved in the pathogenesis of human MBs.

Key words: medulloblastoma, miRNA, miRNA microarray, target gene, tumorigenesis

中图分类号:

刘巍;晁腾飞;龚燕华;袁建刚;甲戈;马振宇;赵继宗. 应用微阵列芯片分析人髓母细胞瘤及瘤旁组织miRNA 表达谱差异[J]. 首都医科大学学报, 2009, 30(3): 355-359.

LIU Wei;CHAO Teng-fei;GONG Yan-hua;YUAN Jian-gang;JIA Ge;MA Zhen-yu;ZHAO Ji-zong. Microarray-based miRNAs Profiling in Human Medulloblastomas[J]. Journal of Capital Medical University, 2009, 30(3): 355-359.

[1]	张金, 任思其, 李舒婷, 李苗, 龚小军, 孙艳玲, 武万水, 孙黎明, 杜淑旭. 脑脊液肿瘤坏死因子-α和干扰素-γ对髓母细胞瘤患儿的预后评价分析[J]. 首都医科大学学报, 2019, 40(2): 201-204.
[2]	赵倩, 金眉, 张大伟, 赵文, 张雪, 李刚, 冀园琦, 马晓莉. 4例同期治疗中进展的儿童髓母细胞瘤临床分析及经验总结[J]. 首都医科大学学报, 2017, 38(6): 925-929.
[3]	谭晓刚, 支修益. MicroRNA与非小细胞肺癌[J]. 首都医科大学学报, 2015, 36(4): 519-524.
[4]	赵海苹, 罗玉敏. 微小RNA-144的研究进展[J]. 首都医科大学学报, 2013, 34(1): 80-85.
[5]	曹婷;杨丽君;崔红. 微小RNA在神经系统及髓鞘发生的调节作用[J]. 首都医科大学学报, 2012, 33(3): 414-418.
[6]	蔡彦宁;温玫;刘姝;陈彪. MPTP作用下小鼠黑质和纹状体中不同时期基因表达变化[J]. 首都医科大学学报, 2007, 28(5): 592-595.
[7]	肖新如;赵继宗;张懋植. 应用cDNA微阵列技术研究胶质母细胞瘤凋亡相关基因的表达[J]. 首都医科大学学报, 2005, 26(4): 392-396.

应用微阵列芯片分析人髓母细胞瘤及瘤旁组织miRNA 表达谱差异

Microarray-based miRNAs Profiling in Human Medulloblastomas

PDF

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics

本文评价