Suppr超能文献

基于尺寸的微流控技术实现无固定化的高阶双特异性抗体复合物的结合和亲和力分析。

Immobilization-Free Binding and Affinity Characterization of Higher Order Bispecific Antibody Complexes Using Size-Based Microfluidics.

机构信息

Department of Biotechnology and Biomedicine, Technical University of Denmark, Søltofts Plads, Building 224, 2800 Kgs. Lyngby, Denmark.

Department of Chemistry and Bioscience, Aalborg University, Fredrik Bajers Vej 7, 9220 Aalborg, Denmark.

出版信息

Anal Chem. 2022 Oct 11;94(40):13652-13658. doi: 10.1021/acs.analchem.2c02705. Epub 2022 Sep 27.

Abstract

Simultaneous targeting of different antigens by bispecific antibodies (bsAbs) is permitting synergistic binding functionalities with high therapeutic potential, but is also rendering their analysis challenging. We introduce flow-induced dispersion analysis (FIDA) for the in-depth characterization of bsAbs with diverse molecular architectures and valencies under near-native conditions without potentially obstructive surface immobilization. Individual equilibrium dissociation constants are determined in solution, even in higher-order complexes with both antigens involved, hereby allowing the analysis of binding cooperativity and elucidation of a potential interference between the interactions. We further illustrate bispecific binding functionality as incremental increases in complex sizes when the bsAbs are exposed to one or two antigens. The possibility for comprehensive binding analysis with low material consumption and high matrix tolerability irrespective of molecular format and with little optimization renders FIDA a versatile tool for format selection and characterization of complex bi/multispecific protein therapeutics throughout the drug development and biomanufacturing pipeline.

摘要

双特异性抗体(bsAbs)同时靶向不同的抗原,可实现协同结合功能,具有很高的治疗潜力,但也增加了分析的难度。我们引入流致分散分析(FIDA),在接近天然条件下对具有不同分子结构和价态的 bsAbs 进行深入表征,而无需潜在的表面固定化。即使在涉及两种抗原的更高阶复合物中,也可以在溶液中确定单个平衡解离常数,从而可以分析结合协同性,并阐明相互作用之间的潜在干扰。当 bsAbs 暴露于一种或两种抗原时,我们进一步说明了双特异性结合功能是复合物大小的递增增加。该方法具有综合结合分析的可能性,材料消耗低,基质耐受性高,与分子形式无关,且无需进行大量优化,因此 FIDA 是一种通用工具,可用于选择复杂的生物/多特异性蛋白治疗药物的分子形式,并对其进行表征,贯穿药物开发和生物制造过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cc8/9558742/897366a96c30/ac2c02705_0001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验