Kaur Parminder, Tomechko Sara, Kiselar Janna, Shi Wuxian, Deperalta Galahad, Wecksler Aaron T, Gokulrangan Giridharan, Ling Victor, Chance Mark R
a Center for Proteomics and Bioinformatics ; Case Western Reserve University ; Cleveland , OH USA.
MAbs. 2014;6(6):1486-99. doi: 10.4161/19420862.2014.975096.
Amino acid-specific covalent labeling is well suited to probe protein structure and macromolecular interactions, especially for macromolecules and their complexes that are difficult to examine by alternative means, due to size, complexity, or instability. Here we present a detailed account of carbodiimide-based covalent labeling (with GEE tagging) applied to a glycosylated monoclonal antibody therapeutic, which represents an important class of biologic drugs. Characterization of such proteins and their antigen complexes is essential to development of new biologic-based medicines. In this study, the experiments were optimized to preserve the structural integrity of the protein, and experimental conditions were varied and replicated to establish the reproducibility and precision of the technique. Homology-based models were generated and used to compare the solvent accessibility of the labeled residues, which include D, E, and the C-terminus, against the experimental surface accessibility data in order to understand the accuracy of the approach in providing an unbiased assessment of structure. Data from the protein were also compared to reactivity measures of several model peptides to explain sequence or structure-based variations in reactivity. The results highlight several advantages of this approach. These include: the ease of use at the bench top, the linearity of the dose response plots at high levels of labeling (indicating that the label does not significantly perturb the structure of the protein), the high reproducibility of replicate experiments (<2 % variation in modification extent), the similar reactivity of the 3 target probe residues (as suggested by analysis of model peptides), and the overall positive and significant correlation of reactivity and solvent accessible surface area (the latter values predicted by the homology modeling). Attenuation of reactivity, in otherwise solvent accessible probes, is documented as arising from the effects of positive charge or bond formation between adjacent amine and carboxyl groups, the latter accompanied by observed water loss. The results are also compared with data from hydroxyl radical-mediated oxidative footprinting on the same protein, showing that complementary information is gained from the 2 approaches, although the number of target residues in carbodiimide/GEE labeling is fewer. Overall, this approach is an accurate and precise method for assessing protein structure of biologic drugs.
氨基酸特异性共价标记非常适合用于探测蛋白质结构和大分子相互作用,特别是对于那些由于尺寸、复杂性或不稳定性而难以通过其他方法进行检测的大分子及其复合物。在此,我们详细介绍了基于碳二亚胺的共价标记(采用GEE标记法)应用于一种糖基化单克隆抗体治疗药物的情况,该药物代表了一类重要的生物药物。表征此类蛋白质及其抗原复合物对于新型生物药物的开发至关重要。在本研究中,对实验进行了优化以保持蛋白质的结构完整性,并改变和重复实验条件以确定该技术的可重复性和精确性。生成了基于同源性的模型,并用于比较标记残基(包括天冬氨酸、谷氨酸和C末端)的溶剂可及性与实验表面可及性数据,以便了解该方法在提供无偏差结构评估方面的准确性。还将来自该蛋白质的数据与几种模型肽的反应性测量结果进行比较,以解释基于序列或结构的反应性差异。结果突出了这种方法的几个优点。这些优点包括:在实验台上易于使用;在高标记水平下剂量反应图呈线性(表明标记不会显著干扰蛋白质结构);重复实验的高可重复性(修饰程度变化<2%);3个目标探针残基的反应性相似(如模型肽分析所示);以及反应性与溶剂可及表面积之间总体呈正相关且具有显著相关性(后者的值由同源性建模预测)。在其他情况下溶剂可及的探针中,反应性的减弱被证明是由于相邻胺基和羧基之间正电荷或键形成的影响,后者伴随着观察到的水分损失。还将结果与同一蛋白质上羟基自由基介导的氧化足迹法得到的数据进行比较,结果表明尽管碳二亚胺/GEE标记中的目标残基数量较少,但这两种方法可获得互补信息。总体而言,这种方法是评估生物药物蛋白质结构的一种准确且精确的方法。