首页 | 本学科首页   官方微博 | 高级检索  
     

恶性胶质瘤细胞株的蛋白质组差异表达分析
引用本文:赵占考,姜忠敏,刘晓智,齐丽莎,秦晓静. 恶性胶质瘤细胞株的蛋白质组差异表达分析[J]. 中华病理学杂志, 2009, 38(6). DOI: 10.3760/cma.j.issn.0529-5807.2009.06.013
作者姓名:赵占考  姜忠敏  刘晓智  齐丽莎  秦晓静
作者单位:1. 武警医学院附属医院病理科,天津,300162
2. 武警医学院附属医院神经外科,天津,300162
摘    要:目的 寻找和鉴定恶性胶质瘤细胞株的蛋白质组差异蛋白表达谱,为以其为基础的相关研究提供必要参考.方法 提取3个恶性胶质瘤细胞株CHG-5、TJ899和TJ905的总蛋白,等比例混匀后行双向电泳,正常胶质细胞为平行对照,筛选和鉴定差异蛋白质点,并就其中部分蛋白质进行免疫细胞化学和实体瘤免疫组织化学验证.结果 共筛选出13个差异蛋白质点,其中10个得到成功鉴定,它们主要分属于细胞骨架蛋白、代谢相关蛋白、肿瘤细胞迁移,以及应激与炎性反应相关蛋白;免疫细胞化学和实体瘤免疫组织化学检测结果与蛋白质组技术结果相一致.结论 恶性胶质瘤细胞株与正常胶质细胞比较具有明显的多个差异蛋白表达,它们可能共同参与脑胶质细胞的瘤变过程.

关 键 词:神经胶质瘤  蛋白质组学  电泳,凝胶,双向

Differential proteomics in glioblastonm
ZHAO Zhan-kao,JIANG Zhong-min,LIU Xiao-zhi,QI Li-sha,QIN Xiao-jing. Differential proteomics in glioblastonm[J]. Chinese Journal of Pathology, 2009, 38(6). DOI: 10.3760/cma.j.issn.0529-5807.2009.06.013
Authors:ZHAO Zhan-kao  JIANG Zhong-min  LIU Xiao-zhi  QI Li-sha  QIN Xiao-jing
Abstract:Objective To establish differential proteomics profiles of glioblastoma cell lines from Chinese, and to provide reference for future basic studies.Methods Total protein was extracted from 3 glioblastoma cell lines, CHG-5, TJ899 and TJ905.After normalization, the total protein was presented by two-dimensional (2D) electrophoresis, scanned and analyzed.Some of the identified protein spots were verified by immunocytochemistry of cell lines and immunohistochemistry of solid tumors.The gila cells were used as the control throughout the study.Results A total of 13 differential protein spots were selected, and eventually 10 were identified as unique proteins.These 10 proteins were involved in cytoskeleton forming, cellular metabolism, tumor migration, stress and inflammatory reaction.Immunocytochemistry and immunohistochemistry further confirmed these proteins present in the solid tumors.Conclusion Distinct differential proteomics profiles exist in glioblastoma cell lines and normal glia cells, likely related to the transformation of normal glia to glioma.
Keywords:Glioma  Proteomics  Electrophoresis,gel,two-dimensional
本文献已被 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号