Cordwell S J, Wilkins M R, Cerpa-Poljak A, Gooley A A, Duncan M, Williams K L, Humphery-Smith I
Department of Microbiology, University of Sydney, New South Wales, Australia.
Electrophoresis. 1995 Mar;16(3):438-43. doi: 10.1002/elps.1150160171.
Amino acid analysis and matrix-assisted laser desorption/ionisation time-of-flight (MALDI-TOF) mass spectrometry were used to identify nine of twelve proteins originally separated by two-dimensional electrophoresis and derived from an organism poorly defined at the molecular level (Spiroplasma melliferum). Two of three unidentified proteins appeared to be novel. The percentage amino acid composition and the molecular mass of peptide fragments generated by tryptic digestion were used to search the PIR/SWISS-PROT and MOWSE databases respectively. Lists of candidate proteins were independently generated and ranked from data obtained by both methods. A putative identification was allocated when a single candidate protein appeared in both lists of computer-generated rankings. Results were verified using N-terminal protein microsequencing. The combined use of amino acid composition and MALDI-TOF mass spectrometry allowed a high degree of confidence to be placed in such identifications because they were based upon homologous data sets of at least 20 parameters (16 amino acids and 4-10 tryptic digest fragments). A further two parameters, estimated M(r) and, to a lesser extent, pI, were also used to reinforce this measure of confidence. Ranking of candidate proteins by one method alone could lead to false identification. Both techniques can process large numbers of samples rapidly. In light of the increasing number of entries in both gene and protein databases, this approach is likely to become an essential first step for the characterisation of proteins, particularly across species boundaries.
氨基酸分析和基质辅助激光解吸/电离飞行时间(MALDI-TOF)质谱法被用于鉴定最初通过二维电泳分离的12种蛋白质中的9种,这些蛋白质来源于一种在分子水平上定义不明确的生物体(蜜蜂螺旋体)。三种未鉴定的蛋白质中有两种似乎是新的。分别使用胰蛋白酶消化产生的肽片段的氨基酸组成百分比和分子量来搜索PIR/SWISS-PROT和MOWSE数据库。候选蛋白质列表是独立生成的,并根据两种方法获得的数据进行排名。当单个候选蛋白质出现在计算机生成的两个排名列表中时,就会给出一个假定的鉴定结果。使用N端蛋白质微量测序对结果进行了验证。氨基酸组成和MALDI-TOF质谱法的联合使用使得对这些鉴定结果有高度的信心,因为它们基于至少20个参数(16种氨基酸和4 - 10个胰蛋白酶消化片段)的同源数据集。另外两个参数,估计的相对分子质量以及在较小程度上的等电点,也被用来加强这种信心衡量。仅通过一种方法对候选蛋白质进行排名可能会导致错误的鉴定。这两种技术都可以快速处理大量样品。鉴于基因和蛋白质数据库中的条目数量不断增加,这种方法可能会成为蛋白质表征的必不可少的第一步,尤其是跨越物种界限的蛋白质表征。