Rodríguez-Piñeiro Ana M, Carvajal-Rodríguez Antonio, Rolán-Alvarez Emilio, Rodríguez-Berrocal Francisco J, Martínez-Fernández Mónica, Páez de la Cadena María
Departamento de Bioquímica, Genética e Inmunología, Facultad de Biología, Universidad de Vigo, Campus Universitario, 36310 Vigo, Spain.
J Proteome Res. 2005 Jul-Aug;4(4):1318-23. doi: 10.1021/pr0500307.
We propose a geometric-morphometrics method (relative warp analysis) to be used in proteomic comparisons. This approach was applied to a dataset from a comparison between 5 controls and 5 patients with colorectal cancer disease published elsewhere. The spots in the 2-D maps were used as landmarks in a morphometric study, and the differences in shape (spot distribution) among them were obtained. The shape variables were used to compare controls and patients. These components mostly ignore random or experimental effects affecting all the proteins in any of the two dimensions studied. Furthermore, the method allows the researcher to find those proteins which contributed the most to the local shape component detected. Applying this approach, we detected variations in the position (isoelectric point and/or relative molecular mass) of some spots that may reflect differences in the amino acidic sequence or post-translational modifications.
我们提出一种用于蛋白质组学比较的几何形态测量学方法（相对扭曲分析）。该方法应用于此前发表的一个数据集，该数据集来自5名对照者与5名结直肠癌患者的比较。二维图谱中的斑点在形态测量研究中用作地标，获取它们之间形状（斑点分布）的差异。形状变量用于比较对照者和患者。这些成分大多忽略了影响所研究的两个维度中任何一个维度上所有蛋白质的随机或实验效应。此外，该方法使研究人员能够找到对检测到的局部形状成分贡献最大的那些蛋白质。应用此方法，我们检测到一些斑点位置（等电点和/或相对分子量）的变化，这些变化可能反映了氨基酸序列或翻译后修饰的差异。
