Arbogast Luke W, Delaglio Frank, Tolman Joel R, Marino John P
Institute for Bioscience and Biotechnology Research, National Institute of Standards and Technology, 9600 Gudelsky Dr., Rockville, MD, 20850, USA.
Department of Chemistry, Johns Hopkins University, 3400 N. Charles St., Baltimore, MD, 21218, USA.
J Biomol NMR. 2018 Dec;72(3-4):149-161. doi: 10.1007/s10858-018-0214-1. Epub 2018 Nov 27.
While the use of H-C methyl correlated NMR spectroscopy at natural isotopic abundance has been demonstrated as feasible on protein therapeutics as large as monoclonal antibodies, spectral interference from aliphatic excipients remains a significant obstacle to its widespread application. These signals can cause large baseline artifacts, obscure protein resonances, and cause dynamic range suppression of weak peaks in non-uniform sampling applications, thus hampering both traditional peak-based spectral analyses as well as emerging chemometric methods of analysis. Here we detail modifications to the 2D H-C gradient-selected HSQC experiment that make use of selective pulsing techniques for targeted removal of interfering excipient signals in spectra of the NISTmAb prepared in several different formulations. This approach is demonstrated to selectively reduce interfering excipient signals while still yielding 2D spectra with only modest losses in protein signal. Furthermore, it is shown that spectral modeling based on the SMILE algorithm can be used to simulate and subtract any residual excipient signals and their attendant artifacts from the resulting 2D NMR spectra.
虽然已证明在天然同位素丰度下使用H-C甲基相关核磁共振光谱法对像单克隆抗体这样大的蛋白质治疗剂是可行的,但来自脂肪族赋形剂的光谱干扰仍然是其广泛应用的重大障碍。这些信号会导致大的基线伪影,掩盖蛋白质共振,并在非均匀采样应用中导致弱峰的动态范围抑制,从而妨碍传统的基于峰的光谱分析以及新兴的化学计量分析方法。在此,我们详细介绍了对二维H-C梯度选择HSQC实验的修改,该修改利用选择性脉冲技术有针对性地去除在几种不同配方中制备的NISTmAb光谱中的干扰赋形剂信号。这种方法被证明可以选择性地减少干扰赋形剂信号,同时仍然产生二维光谱,而蛋白质信号仅有适度损失。此外,结果表明基于SMILE算法的光谱建模可用于模拟并从所得二维核磁共振光谱中减去任何残留的赋形剂信号及其伴随的伪影。