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量子级联激光红外光谱法用于糖蛋白溶液中聚糖的分析。

Quantum Cascade Laser Infrared Spectroscopy for Glycan Analysis of Glycoprotein Solutions.

机构信息

Biosystems and Biomaterials Division, National Institute of Standards and Technology, Gaithersburg, Maryland 20899, United States.

Process and Analytical Sciences, Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, Maryland 20878, United States.

出版信息

Anal Chem. 2024 Aug 13;96(32):13120-13130. doi: 10.1021/acs.analchem.4c01772. Epub 2024 Jul 30.

Abstract

Glycans are oligosaccharides attached to proteins or lipids and affect their functions, such as drug efficacy, structural contribution, metabolism, immunogenicity, and molecular recognition. Conventional glycosylation analysis has relied on destructive, slow, system-sensitive methods, including enzymatic reactions, chromatography, fluorescence labeling, and mass spectrometry. Herein, we propose quantum cascade laser (QCL) infrared (IR) spectroscopy as a rapid, nondestructive method to quantify glycans and their monosaccharide composition. Previously, we demonstrated high-sensitivity IR spectroscopy of protein solution using solvent absorption compensation (SAC) and double-beam modulation (DBM) techniques. However, the SAC-DBM approach suffered a limited frequency scanning range (<400 cm) due to the light dispersion by acousto-optic modulators (AOMs). Here, we implemented a mirror-based double-pass AOM in the SAC-DBM scheme and successfully extended the frequency range to (970 to 1840 cm), which encompasses the vibrational fingerprint of biomolecules. The extended frequency range allowed the simultaneous observation of monosaccharide ring bands (1000 to 1200 cm) and protein amide bands (1500 to 1700 cm). We compared the IR spectra of six glycoproteins and two nonglycosylated proteins with the results from intact mass spectrometry. The IR absorbance ratios of the ring band to the amide band of glycoproteins in solutions showed a linear correlation with the ratios of glycan to protein backbone masses. Furthermore, a multivariate analysis produced monosaccharide compositions consistent with the reported database for the glycoproteins, and the monosaccharide compositions were used to improve the predictability of the glycan-protein mass ratio from the IR-absorbance ratio. This nondestructive, high-sensitivity QCL-IR spectroscopy could be used as a standard method to monitor batch-to-batch comparability during drug manufacturing and quantify the glycosylation and monosaccharide composition of new glycoproteins and other glycosylated biosystems.

摘要

聚糖是附着在蛋白质或脂质上的寡糖,会影响它们的功能,如药物功效、结构贡献、代谢、免疫原性和分子识别。传统的糖基化分析依赖于破坏性的、缓慢的、系统敏感的方法,包括酶反应、色谱法、荧光标记和质谱法。在这里,我们提出量子级联激光(QCL)红外(IR)光谱作为一种快速、无损的方法来定量聚糖及其单糖组成。此前,我们使用溶剂吸收补偿(SAC)和双光束调制(DBM)技术证明了蛋白质溶液的高灵敏度 IR 光谱。然而,由于声光调制器(AOM)的光色散,SAC-DBM 方法的频率扫描范围有限(<400 cm)。在这里,我们在 SAC-DBM 方案中实现了基于反射镜的双通 AOM,并成功地将频率范围扩展到(970 至 1840 cm),涵盖了生物分子的振动指纹。扩展的频率范围允许同时观察单糖环带(1000 至 1200 cm)和蛋白质酰胺带(1500 至 1700 cm)。我们将六种糖蛋白和两种非糖基化蛋白的 IR 光谱与完整质量光谱的结果进行了比较。溶液中糖蛋白的环带与酰胺带的 IR 吸光度比与糖基与蛋白质主链质量的比值呈线性相关。此外,多元分析产生的单糖组成与糖蛋白的报告数据库一致,并且单糖组成被用于提高从 IR 吸光度比预测糖蛋白质量比的可预测性。这种无损、高灵敏度的 QCL-IR 光谱可作为一种标准方法,用于监测药物制造过程中的批间可比性,并定量新糖蛋白和其他糖基化生物系统的糖基化和单糖组成。

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