Lung tumor cells: A multivariate approach to cell classification using two‐dimensional protein pattern
Lung tumor cells: A multivariate approach to cell classification using two‐dimensional protein pattern
复制标题
肺肿瘤细胞：使用二维蛋白质模式进行细胞分类的多变量方法
作者：
H. Schmid;Doris Schmitter;Philippe Blum;Mark J. Miller;D. Vonderschmitt
高分辨率双向聚丙烯酰胺凝胶电泳（2-D PAGE）是分析分离细胞蛋白质的有力研究工具。由细胞合成的多肽的定性和定量模式代表其表型，从而定义了细胞的特征，如形态学和生物学行为。通过分析和比较不同细胞的蛋白质模式，可以识别细胞类型，并识别这些细胞的最典型特征。在应用病理学中，通常难以通过经典或免疫染色程序分析的细胞形态来识别肿瘤的起源组织和阶段或等级。蛋白质模式本身是细胞最具特征的特征，因此有助于细胞类型的鉴定。出于这个原因，我们使用2-D PAGE分离了来自不同肺肿瘤细胞系的蛋白质组分，并使用对应分析（CA）和上升分层聚类（AHC）在多变量统计水平上比较了所得模式。结果表明，（i）蛋白质模式对于细胞是高度典型的，并且（ii）一组感兴趣的细胞类型的蛋白质模式的比较允许鉴定潜在的新标记蛋白。因此，2-D PAGE是分子细胞学或组织病理学的独特而强大的工具，揭示了组织或细胞的蛋白质表达水平。
High resolution two‐dimensional polyacrylamide gel electrophoresis (2‐D PAGE) is a powerful research tool for the analytical separation of cellular proteins. The qualitative and quantitative pattern of polypeptides synthesized by a cell represents its phenotype and thus defines characteristics such as the morphology and the biological behavior of the cell. By analyzing and comparing the protein patterns of different cells it is possible to recognize the cell type and also to identify the most typical features of these cells. In applied pathology it is often difficult to identify the tissue of origin and the stage or grade of a neoplasia by cellular morphology analyzed by classical or immunostaining procedures. The protein pattern itself is the most characteristic feature of a cell and should therefore contribute to the identification of the cell type. For this reason we separated protein fractions originating from different lung tumor cell lines using 2‐D PAGE and we compared the resulting patterns on a multivariate statistical level using correspondence analysis (CA) and ascendant hierarchical clustering (AHC). The results indicate that (i) protein patterns are highly typical for cells and that (ii) the comparison of the protein patterns of a set of interesting cell types allows the identification of potentially new marker proteins. 2‐D PAGE is thus a unique and powerful tool for molecular cytology or histopathology, unveiling the protein expression level of tissues or cells.
影响因子：
11.2
作者：
R. Weinberg
通讯作者：
R. Weinberg
蛋白质模式作为肿瘤识别的代码。
影响因子：
2.9
作者：
Irwin,D
通讯作者：
Irwin,D