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肺腺癌SPC-A1细胞双向电泳图谱的优化
引用本文:邹志鹏,杨翠兰,王翔,罗深秋.肺腺癌SPC-A1细胞双向电泳图谱的优化[J].中国医学物理学杂志,2003,20(1):31-33,48.
作者姓名:邹志鹏  杨翠兰  王翔  罗深秋
作者单位:1. 第一军医大学基础部,生物教研室,广东,广州,510515
2. 军事医学科学院附属医院,北京,100039
基金项目:广东省自然科学基金(020015)
摘    要:双向电泳技术+质谱技术已经成为蛋白组学研究的基本策略之一。获得细胞或组织经过某种处理前后的双向电泳图谱,然后经专业2-D图像分析软件找到差异表达(有无的差异或是表达量的差异)的蛋白质斑点,再经过质谱分析鉴定这些蛋白质的种类,可以全面、系统地研究该处理因素对总蛋白质表达的影响。而要想准确地获得某种组织或细胞的双向电泳图谱,建立与之兼容的方法必不可少。本文通过使用和SPC-A1细胞株兼容的总蛋白质抽提方法,采用不同pH梯度的IPG(immorbilized pH gradient)干胶条,获得了较为清晰的蛋白质斑点,并重点分离了特定局部区域的蛋白质,优化了本细胞株的双向电泳图谱,为进一步分析药物处理前后的总蛋白质表达差异创造了条件。

关 键 词:肺腺癌  SPC-A1细胞  双向电泳图谱  蛋白组学  差异表达
文章编号:1005-202X(2003)01-0031-03

Optimization of 2-D electrophoresis map of pulmonary adenocarcinoma cell strain SPC-A1
ZOU Zhi-peng,YANG Cui-lan,WANG Xiang,LUO Shen-qiu.Optimization of 2-D electrophoresis map of pulmonary adenocarcinoma cell strain SPC-A1[J].Chinese Journal of Medical Physics,2003,20(1):31-33,48.
Authors:ZOU Zhi-peng  YANG Cui-lan  WANG Xiang  LUO Shen-qiu
Abstract:Two-dimensional electrophoresis combined with mass spectrotometry is one of the basic strategy of proteomic research. Different 2-D electrophoresis map of certain cell or tisssue are acquired before and after some kind of treatment.Subsequently, professional 2-D analysis software is used to locate the different protein spots, followed by analysis of mass spectrotometry to i-dentify and characterize them. Thus, we could study the influence of this treatment on the expression of total protein expression comprehensively and systematically. Building a compatible 2-D elctrophoresis method is necessary to accquire an accurate 2-D map of certain cell or tissue. In this article, we accquired a clear and high-resolution 2-D map by using total protein extraction method compatible with SPC-A1 cell train. We also separated and visualized proteins of certain region intensively by applying IPG strips of different pH range. By all these efforts made, we have optimized the 2-D map of this cell train and paved the way for further analysis.
Keywords:two-dimensional electrophoresis  proteomics  differential expression
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