Winston V
Department of Biological Sciences, Idaho State University, Pocatello 83209-0009.
Electrophoresis. 1989 Mar;10(3):220-2. doi: 10.1002/elps.1150100312.
Standard mixtures of proteins were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Polynomial regression analysis was used to fit curves to the data points obtained by plotting log10 of protein molecular weight versus electrophoretic mobility. Polynomials with orders ranging from 1 to 4 were generated. The coefficients of each equation were analyzed for statistical significance. It was found that a third order polynomial was the highest-order equation in which all coefficients contributed significantly to the prediction of molecular weights. Using this equation, it was possible to estimate the molecular weights of known proteins in the range from 97,400 to 14,400 with a maximum error of 1%, compared with a maximum error of 17% when a first-order equation was used to describe the migration of the standards.
蛋白质标准混合物通过十二烷基硫酸钠-聚丙烯酰胺凝胶电泳进行分离。采用多项式回归分析，将蛋白质分子量的常用对数与电泳迁移率作图得到的数据点拟合成曲线。生成了阶数从1到4的多项式。分析每个方程的系数的统计学意义。结果发现，三阶多项式是所有系数对分子量预测均有显著贡献的最高阶方程。使用该方程，可以估计分子量在97,400至14,400范围内的已知蛋白质的分子量，最大误差为1%，而使用一阶方程描述标准品的迁移时最大误差为17%。
