A Novel Sample Preparation for Shotgun Proteomics Characterization of HCPs in Antibodies

鸟枪蛋白质组学 猎枪 化学 单克隆抗体 多克隆抗体 色谱法 蛋白质组学 样品制备 生物制药 质谱法 抗体 计算生物学 生物化学 生物技术 生物 基因 免疫学
作者
Lihua Huang,Ning Wang,Charles E. Mitchell,Tammy J Brownlee,Steven R. Maple,Michael R. De Felippis
出处
期刊:Analytical Chemistry [American Chemical Society]
卷期号:89 (10): 5436-5444 被引量:107
标识
DOI:10.1021/acs.analchem.7b00304
摘要

Residual host cell proteins (HCPs) in biopharmaceuticals derived from recombinant DNA technology can present potential safety risks to patients or compromise product stability. Thus, the downstream purification process is designed to demonstrate robust removal of these impurities. ELISA using polyclonal anti-HCP antibodies as reagents for capture, detection, and quantitation purposes is most commonly used to monitor HCP removal during process development, but this technique has limitations. More recently, LC-MS for residual HCP characterization has emerged as a powerful tool to support purification process development. However, mass spectrometry needs to overcome the enormous dynamic range to detect low ppm levels of residual HCPs in biopharmaceutical samples. We describe a simple and powerful methodology to characterize residual HCPs in (monoclonal) antibodies by combining a novel sample preparation procedure using trypsin digestion and a shotgun proteomics approach. Differing from the traditional methodology, the sample preparation approach maintains nearly intact antibody while HCPs are digested. Thus, the dynamic range for HCP detection by MS is 1 to 2 orders of magnitude less than the traditional trypsin digestion sample preparation procedure. HCP spiking experiments demonstrated that our method could detect 0.5 ppm of HCP with molecular weight >60 kDa, such as rPLBL2. Application of our method to analyze a high-purity NIST monoclonal antibody standard RM 8670 derived from a murine cell line expression system resulted in detection of 60 mouse HCPs; twice as many as previously reported with 2D-UPLC/IM/MSE method. A control monoclonal antibody used for 70 analyses over 450 days demonstrated that our method is robust.
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