Lacunza Izaskun, Sanz Jesus, Diez-Masa Jose Carlos, de Frutos Mercedes
Institute of Organic Chemistry (CSIC), Madrid, Spain.
Electrophoresis. 2006 Nov;27(21):4205-14. doi: 10.1002/elps.200600304.
Alpha-1-acid glycoprotein (AGP) presents different forms, which may arise from differences in the amino acid sequence and/or in the glycosidic part of the protein. Changes in forms of AGP have been described in literature as a possible tumor marker. While most previous works have approached the study of glycopeptides and/or glycans obtained after fragmentation of the protein, in this work, a CZE method is developed to separate up to eleven peaks of intact forms of AGP. A computer program developed in our laboratory is used to select the migration parameters that make possible an accurate assignment of AGP peaks. Electropherograms of AGP samples purified from sera of cancer patients and healthy donors are qualitatively and quantitatively compared. Percentages of correct assignment of AGP peaks close to 100% are achieved by using either the migration time of each peak relative to that of the EOF marker or the effective electrophoretic mobility of the peaks. The computer program permits to select, among different hypotheses for peak allotment, that one providing the highest accuracy of assignment. In this way, some peaks with different charge-to-mass ratio and a different distribution of area percentage of AGP forms are observed when comparing samples from sick and healthy individuals. Thus, a method that permits to compare AGP forms existing in sera of individuals with different pathophysiological situations has been developed. A potential for using AGP forms analyzed by CZE as a disease marker and for using this technique for screening purposes is envisaged.
α-1-酸性糖蛋白(AGP)呈现出不同的形式,这可能源于氨基酸序列和/或蛋白质糖基部分的差异。文献中已将AGP形式的变化描述为一种可能的肿瘤标志物。虽然大多数先前的研究都致力于对蛋白质片段化后获得的糖肽和/或聚糖进行研究,但在本研究中,开发了一种毛细管区带电泳(CZE)方法来分离多达11个完整形式的AGP峰。使用我们实验室开发的计算机程序来选择迁移参数,以便能够准确地识别AGP峰。对从癌症患者和健康供体血清中纯化的AGP样品的电泳图进行了定性和定量比较。通过使用每个峰相对于电渗流(EOF)标记峰的迁移时间或峰的有效电泳迁移率,AGP峰的正确识别率接近100%。该计算机程序允许在不同的峰分配假设中选择提供最高识别准确度的假设。通过这种方式,在比较患病个体和健康个体的样品时,观察到了一些具有不同荷质比和不同AGP形式面积百分比分布的峰。因此,已经开发出一种方法,该方法能够比较处于不同病理生理状态的个体血清中存在的AGP形式。设想了将通过CZE分析的AGP形式用作疾病标志物以及将该技术用于筛查目的的可能性。