Jana Löptien, Sidney Vesting, Susanne Dobler, Shabnam Mohammadi
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引用次数: 0
摘要
蛋白质定量是广泛应用于生物学的重要工具。最常见的方法包括Lowry, bicinchoninic acid (BCA)和comasassie Bradford试验。尽管它们具有广泛的适用性,但其作用机制表明,由于蛋白质在质膜中的整合,这些方法可能不是大型跨膜蛋白的理想方法。在这里,我们通过评估这三种常见的蛋白质定量方法对候选跨膜蛋白:Na, k - atp酶(NKA)的有效性和适用性来研究这个问题。我们将这些方法与我们新开发的用于定量NKA的ELISA方法进行了比较。相对标准曲线的使用使得该ELISA可以很容易地适用于其他蛋白质和整个动物王国。结果表明,与ELISA相比,三种常规方法显著高估了NKA的浓度。这是由于样品中含有异质混合的蛋白质,包括大量的非靶蛋白。此外,通过将不同方法测定的蛋白质浓度应用于体外测定,我们发现,当根据ELISA测定的浓度制备测定反应时,结果数据的变化始终很低。
Evaluating the efficacy of protein quantification methods on membrane proteins.
Protein quantification is an important tool for a wide range of biological applications. The most common methods include the Lowry, bicinchoninic acid (BCA) and Coomassie Bradford assays. Despite their wide applicability, the mechanisms of action imply that these methods may not be ideal for large transmembrane proteins due to the proteins' integration in the plasma membrane. Here, we investigate this problem by assessing the efficacy and applicability of these three common protein quantification methods on a candidate transmembrane protein: Na, K-ATPase (NKA). We compared these methods with an ELISA, which we newly developed and describe here for the quantification of NKA. The use of a relative standard curve allows this ELISA to be easily adapted to other proteins and across the animal kingdom. Our results revealed that the three conventional methods significantly overestimate the concentration of NKA compared with the ELISA. This is due to the samples containing a heterogeneous mix of proteins, including a significant amount of non-target proteins. Further, by applying the protein concentrations determined by the different methods to in vitro assays, we found that variation in the resulting data was consistently low when the assay reactions were prepared based on concentrations determined from the ELISA.
期刊介绍:
Open Biology is an online journal that welcomes original, high impact research in cell and developmental biology, molecular and structural biology, biochemistry, neuroscience, immunology, microbiology and genetics.