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CHOPPI:一种用于分析基于CHO的蛋白质生产中宿主细胞蛋白免疫原性风险的网络工具。

CHOPPI: a web tool for the analysis of immunogenicity risk from host cell proteins in CHO-based protein production.

作者信息

Bailey-Kellogg Chris, Gutiérrez Andres H, Moise Leonard, Terry Frances, Martin William D, De Groot Anne S

机构信息

Department of Computer Science, Dartmouth College, Hanover, New Hampshire.

出版信息

Biotechnol Bioeng. 2014 Nov;111(11):2170-82. doi: 10.1002/bit.25286. Epub 2014 Jul 14.

Abstract

Despite high quality standards and continual process improvements in manufacturing, host cell protein (HCP) process impurities remain a substantial risk for biological products. Even at low levels, residual HCPs can induce a detrimental immune response compromising the safety and efficacy of a biologic. Consequently, advanced-stage clinical trials have been cancelled due to the identification of antibodies against HCPs. To enable earlier and rapid assessment of the risks in Chinese Hamster Ovary (CHO)-based protein production of residual CHO protein impurities (CHOPs), we have developed a web tool called CHOPPI, for CHO Protein Predicted Immunogenicity. CHOPPI integrates information regarding the possible presence of CHOPs (expression and secretion) with characterizations of their immunogenicity (T cell epitope count and density, and relative conservation with human counterparts). CHOPPI can generate a report for a specified CHO protein (e.g., identified from proteomics or immunoassays) or characterize an entire specified subset of the CHO genome (e.g., filtered based on confidence in transcription and similarity to human proteins). The ability to analyze potential CHOPs at a genomic scale provides a baseline to evaluate relative risk. We show here that CHOPPI can identify clear differences in immunogenicity risk among previously validated CHOPs, as well as identify additional "risky" CHO proteins that may be expressed during production and induce a detrimental immune response upon delivery. We conclude that CHOPPI is a powerful tool that provides a valuable computational complement to existing experimental approaches for CHOP risk assessment and can focus experimental efforts in the most important directions. Biotechnol. Bioeng. 2014;111: 2170-2182. © 2014 Wiley Periodicals, Inc.

摘要

尽管在制造过程中有高质量标准和持续的工艺改进,但宿主细胞蛋白(HCP)工艺杂质仍然是生物制品的重大风险。即使含量很低,残留的HCP也会引发有害的免疫反应,损害生物制品的安全性和有效性。因此,由于发现了针对HCP的抗体,晚期临床试验被取消。为了能够更早、快速地评估基于中国仓鼠卵巢(CHO)的蛋白质生产中残留的CHO蛋白杂质(CHOP)的风险,我们开发了一种名为CHOPPI(CHO蛋白预测免疫原性)的网络工具。CHOPPI整合了有关CHOP可能存在的信息(表达和分泌)及其免疫原性特征(T细胞表位数量和密度,以及与人类对应物的相对保守性)。CHOPPI可以为特定的CHO蛋白生成报告(例如,从蛋白质组学或免疫分析中鉴定),或对CHO基因组的整个特定子集进行表征(例如,基于转录可信度和与人类蛋白质的相似性进行筛选)。在基因组规模上分析潜在CHOP的能力提供了评估相对风险的基线。我们在此表明,CHOPPI可以识别先前验证的CHOP之间免疫原性风险的明显差异,还可以识别生产过程中可能表达并在给药时引发有害免疫反应的其他“有风险”的CHO蛋白。我们得出结论,CHOPPI是一种强大的工具,为现有的CHOP风险评估实验方法提供了有价值的计算补充,并可以将实验工作集中在最重要的方向上。《生物技术与生物工程》2014年;111:2170 - 2182。© 2014威利期刊公司

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9937/4282101/28f29e0a7c89/bit0111-2170-f1.jpg

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