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从二维凝胶中鉴定酵母蛋白:解决斑点交叉污染问题。

Identification of yeast proteins from two-dimensional gels: working out spot cross-contamination.

作者信息

Parker K C, Garrels J I, Hines W, Butler E M, McKee A H, Patterson D, Martin S

机构信息

PerSeptive Biosystems, Framingham, MA, USA.

出版信息

Electrophoresis. 1998 Aug;19(11):1920-32. doi: 10.1002/elps.1150191110.

Abstract

With the complete sequence of the yeast genome now available, efforts by many laboratories are underway to identify each of the spots on two-dimensional (2-D) gels corresponding to the most abundant yeast proteins. The high mass accuracy now attainable using matrix assisted laser desorption/ionization (MALDI)-mass spectrometry equipped with delayed extraction simplifies the process of identification, such that many spots can be unambiguously identified in a short period of time merely by using peptide mass fingerprinting and generally available database matching programs. Although it is not always possible to match spots between gels run by different laboratories, proteins generally yield the same abundant proteolytic fragments when tryptic digestions are performed. Databases containing these signature peptides not only simplify the task of reidentifying proteins from different gels, but also make it possible to identify small amounts of cross-contaminating proteins from different spots, as well as common extraneous contaminants such as human keratins. In this paper, we present data on the identification of > 20 previously unreported yeast proteins from 2-D gels. Some novel proteins were identified from randomly analyzed spots. Focusing on 14 spots in a narrow-pH-range gel, we demonstrate how organizing peak-table data and peptide match-list data into databases enables the identification of a larger percentage of the peaks.

摘要

随着酵母基因组完整序列的问世,许多实验室正在努力识别二维(2-D)凝胶上对应于最丰富酵母蛋白的每一个斑点。利用配备延迟提取的基质辅助激光解吸/电离(MALDI)质谱仪现在可实现的高质量精度简化了鉴定过程,以至于仅通过使用肽质量指纹图谱和通用的数据库匹配程序,就能在短时间内明确鉴定出许多斑点。尽管不同实验室所运行的凝胶之间的斑点并不总是能够匹配,但当进行胰蛋白酶消化时,蛋白质通常会产生相同的丰富蛋白水解片段。包含这些特征肽的数据库不仅简化了从不同凝胶中重新鉴定蛋白质的任务,还能够鉴定出不同斑点中的少量交叉污染蛋白以及常见的外来污染物,如人类角蛋白。在本文中,我们展示了从二维凝胶中鉴定出20多种先前未报道的酵母蛋白的数据。一些新蛋白是从随机分析的斑点中鉴定出来的。聚焦于窄pH范围凝胶中的14个斑点,我们展示了如何将峰表数据和肽匹配列表数据整理到数据库中,从而能够鉴定出更大比例的峰。

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