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开发用于宿主细胞蛋白表征的优化液相色谱-质谱工作流程以支持上游工艺开发。

Development of an Optimized LC-MS Workflow for Host Cell Protein Characterization to Support Upstream Process Development.

作者信息

Seidel Janik D, Condina Mark R, Klingler-Hoffmann Manuela, Young Clifford, Donnellan Leigh, Kyngdon Craig, Hoffmann Peter

机构信息

Clinical and Health Sciences, University of South Australia, 5000 Adelaide, Australia.

Mass Dynamics, 3000 Melbourne, Australia.

出版信息

J Proteome Res. 2025 Jan 3;24(1):234-243. doi: 10.1021/acs.jproteome.4c00637. Epub 2024 Dec 19.

DOI:10.1021/acs.jproteome.4c00637
PMID:39701585
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11706231/
Abstract

Host cell proteins (HCPs) coexpressed during the production of biotherapeutics can affect the safety, efficacy, and stability of the final product. As such, monitoring HCP populations and amounts throughout the production and purification process is an essential part of the overall quality control framework. Mass spectrometry (MS) is used as an orthogonal method to enzyme-linked immunosorbent assays (ELISA) for the simultaneous identification and quantification of HCPs, particularly for the analysis of downstream processes. In this study, we present an MS-based analytical protocol with improvements in both speed and identification performance that can be implemented for routine analysis to support upstream process development. The protocol adopts a streamlined sample preparation strategy, combined with a high-throughput MS analysis pipeline. The developed method identifies and quantifies over 1000 HCPs, including 20 proteins listed as high risk in the literature, in a clarified cell culture sample with repeatability and precision shown for digest replicates. In addition, we explore the effects of varying standard spike-ins and changes to the data processing pipeline on absolute quantification estimates of the HCPs, which highlight the importance of standardization for wider use in the industry. Data are available via ProteomeXchange with the identifier PXD053035.

摘要

生物治疗药物生产过程中共同表达的宿主细胞蛋白(HCPs)会影响最终产品的安全性、有效性和稳定性。因此,在整个生产和纯化过程中监测HCP的种类和含量是整体质量控制框架的重要组成部分。质谱(MS)被用作酶联免疫吸附测定(ELISA)的正交方法,用于同时鉴定和定量HCPs,特别是用于下游工艺的分析。在本研究中,我们提出了一种基于质谱的分析方案,在速度和鉴定性能方面都有改进,可用于常规分析以支持上游工艺开发。该方案采用了简化的样品制备策略,并结合了高通量质谱分析流程。所开发的方法能够在澄清的细胞培养样品中鉴定和定量1000多种HCPs,包括文献中列为高风险的20种蛋白质,消化复制品显示出重复性和精密度。此外,我们还探讨了不同标准添加物和数据处理流程的变化对HCPs绝对定量估计的影响,这突出了标准化在行业中更广泛应用的重要性。数据可通过ProteomeXchange获得,标识符为PXD053035。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/cc887372467c/pr4c00637_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/a698357aa1f2/pr4c00637_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/bf5aa1e1b933/pr4c00637_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/6eeebfb317ae/pr4c00637_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/cc887372467c/pr4c00637_0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/a698357aa1f2/pr4c00637_0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/bf5aa1e1b933/pr4c00637_0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/6eeebfb317ae/pr4c00637_0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/935a/11706231/cc887372467c/pr4c00637_0003.jpg

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本文引用的文献

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2
SP3-based host cell protein monitoring in AAV-based gene therapy products using LC-MS/MS.基于 LC-MS/MS 的 SP3 宿主细胞蛋白检测在基于 AAV 的基因治疗产品中的应用。
Eur J Pharm Biopharm. 2023 Aug;189:276-280. doi: 10.1016/j.ejpb.2023.06.019. Epub 2023 Jul 6.
3
Host cell protein quantification workflow using optimized standards combined with data-independent acquisition mass spectrometry.
使用优化标准结合数据非依赖采集质谱法的宿主细胞蛋白定量工作流程。
J Pharm Anal. 2023 May;13(5):494-502. doi: 10.1016/j.jpha.2023.03.009. Epub 2023 Mar 31.
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Advanced mass spectrometry workflows for accurate quantification of trace-level host cell proteins in drug products: Benefits of FAIMS separation and gas-phase fractionation DIA.用于药物制品中痕量宿主细胞蛋白精确定量的先进质谱工作流程:FAIMS 分离和气相分段 DIA 的优势。
Proteomics. 2023 Aug;23(16):e2300172. doi: 10.1002/pmic.202300172. Epub 2023 May 6.
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Antibodies to watch in 2023.2023 年值得关注的抗体药物
MAbs. 2023 Jan-Dec;15(1):2153410. doi: 10.1080/19420862.2022.2153410.
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Protein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics.蛋白质污染物不容忽视:构建适用于 DDA 和 DIA 蛋白质组学的通用蛋白质污染物文库。
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