Fiévet Julie, Dillmann Christine, Lagniel Gilles, Davanture Marlène, Negroni Luc, Labarre Jean, de Vienne Dominique
UMR de Génétique Végétale, INRA/UPS/CNRS/INA-PG, Ferme de Moulon, F-91190 Gif-sur-Yvette, France.
Proteomics. 2004 Jul;4(7):1939-49. doi: 10.1002/pmic.200300731.
We statistically analysed various factors to get accurate estimates of protein quantities from two-dimensional gels. Yeast proteins were labelled with (35)S or stained with Coomassie Brilliant Blue G-250, and spots were automatically quantified with software packages Kepler, ImageQuaNT, Melanie 3.0 and Progenesis. The different software packages proved to have very similar performances. With (35)S-labelled actin spot as a reference, we studied the staining efficiency of colloidal Coomassie blue as a function of amino acid composition of the protein, and derived an equation to estimate the number of molecules per cell from blue-stained proteins. Absolute quantification of most glycolytic enzymes was carried out in two yeast strains.
我们对各种因素进行了统计分析,以便从二维凝胶中准确估计蛋白质的数量。酵母蛋白用(35)S标记或用考马斯亮蓝G - 250染色,并用软件包Kepler、ImageQuaNT、Melanie 3.0和Progenesis自动对斑点进行定量。不同的软件包表现出非常相似的性能。以(35)S标记的肌动蛋白斑点为参照,我们研究了胶体考马斯亮蓝的染色效率与蛋白质氨基酸组成的关系,并推导出一个方程,用于从蓝色染色的蛋白质中估计每个细胞的分子数。在两种酵母菌株中对大多数糖酵解酶进行了绝对定量。