Identification and use of constitutive proteins for the normalization of high resolution electrophoretograms.

C R Merril, G J Creed, J Joy, A D Olson
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Abstract

Quantitative inter-gel comparisons of proteins separated by high resolution two-dimensional protein electrophoresis present a number of problems. These problems may arise from: variations in pipetting and other mechanical manipulations of samples, protein loss during transfer from the first to the second gel dimension, variations in staining, and/or variations in film development during autoradiography, in the case of radioactively labeled proteins. This study presents a discussion of these issues and a normalization algorithm to deal with variations, which relies on a class of proteins present in most biological samples which by their nature may be considered internal standards. This class consists of proteins which are controlled by constitutive genes. Constitutive genes are genes that are expressed constantly. We have developed an algorithm which is currently available as a subroutine, 'FINDCONS', in the computerized densitometry and protein comparison analysis program, developed by Olson & Miller (1988). This algorithm identifies potentially 'constitutive' proteins. A normalization method employing these potentially 'constitutive' proteins was compared to several others by examining 2D-electrophoretograms of proteins from developing gypsy moths (Lymantria dispar L.) insect tissue. Following normalization, inter-gel comparisons of spots, which were 'identified' as 'constitutive', were observed to vary less in density than when no normalization method was used, or when normalization based on total integrated spot density was used. In addition to its use as a normalization tool, this algorithm and the subroutine FINDCONS may be useful as an aid in biological studies to identify 'constitutive' proteins.

高分辨率电泳图规范化中组成蛋白的鉴定和使用。
定量凝胶间比较的蛋白质分离的高分辨率二维蛋白质电泳提出了一些问题。这些问题可能来自:移液和样品的其他机械操作的变化,从第一个凝胶维度转移到第二个凝胶维度时蛋白质的损失,染色的变化,和/或放射自显影期间膜的变化,在放射性标记蛋白质的情况下。本研究提出了这些问题的讨论和一种归一化算法来处理变化,这依赖于大多数生物样品中存在的一类蛋白质,它们的性质可能被认为是内部标准。这一类由构成基因控制的蛋白质组成。构成基因是不断表达的基因。我们开发了一种算法,目前可作为奥尔森和米勒(1988)开发的计算机密度测定和蛋白质比较分析程序中的子程序“FINDCONS”。该算法识别潜在的“构成”蛋白质。通过检查发育中的舞毒蛾(Lymantria dispar L.)昆虫组织蛋白质的2d电泳图,将采用这些潜在“构成”蛋白质的归一化方法与其他几种方法进行了比较。在归一化之后,被“确定”为“本构”的点的凝胶间比较观察到,与不使用归一化方法或使用基于总积分点密度的归一化方法相比,密度的变化更小。除了作为一种归一化工具之外,该算法和子程序FINDCONS可能有助于在生物学研究中识别“构成”蛋白质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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