基于等电点预测的二维电泳图谱中蛋白质形态识别

A. Rybina
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引用次数: 0

摘要

通过分析二维(2D)凝胶电泳图和预测蛋白质等电点(pI),研究了利用翻译后修饰(PTM)识别特定蛋白质蛋白质形态的可能性。使用pIPredict 3程序预测pI值,支持广泛的化学和翻译后修饰。以白蛋白、α -1微球蛋白、膜联蛋白A2、载脂蛋白E、胃三酰基甘油脂肪酶、线粒体异柠檬酸脱氢酶、聚簇蛋白、纤溶蛋白、凝血酶原、内质网伴侣蛋白、s -腺苷蛋氨酸合酶1型等11种蛋白为例。考虑了选择假设的各种选项。这些考虑了关于特定蛋白质的以下可用信息:可能的修饰位点、加工特征、氨基酸组成的可变性。所得结果表明,利用假设的ptm预测蛋白质的pI值可以形成一组关于二维电泳图上特定蛋白质形态发生的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proteoform Identification in 2D Electrophoresis Maps by Using Isoelectric Point Prediction
The possibility of identifying specific protein proteoforms with post-translational modifications (PTM) by analyzing two-dimensional (2D) gel electrophoresis maps and using the prediction of the isoelectric point of proteins (pI) has been investigated. The pI values were predicted using the pIPredict 3 program, supporting a wide range of chemical and post-translational modifications. Eleven 11 proteins (albumin, alpha-1-microglobulin, annexin A2, apolipoprotein E, gastric triacylglycerol lipase, mitochondrial isocitrate dehydrogenase, clusterin, plasmin, prothrombin, endoplasmic reticulum chaperone, S-adenosylmethionine synthase type 1) identified on six 2D electrophoresis maps were used as examples. Various options for selecting hypotheses are considered. These take into consideration the following available information about a particular protein: possible modification sites, processing features, variability of the amino acid composition. The obtained results indicate that the use of predicting the pI value for proteins with hypothetical PTMs can form a set of hypotheses about specific proteoform occurrence on 2D electrophoresis maps.
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