Automated glycan-bead coupling for high throughput, highly reproducible anti-glycan antibody analysis

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology Pub Date : 2024-02-01 DOI:10.1016/j.slast.2023.08.003

Antonia Katharina Hefermehl , Sanne Maria Mathias Hensen , Carina Versantvoort , Andrée Rothermel , Uğur Şahin

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引用次数: 0

Abstract

Automation of diagnostic assays generally aims to increase reproducibility and throughput while decreasing human errors and hands-on time. Here, we introduce a protocol for the automated chemical conjugation of glycans to color-coded magnetic beads using the KingFisher Flex magnetic particle processor. The resulting glycan-coupled magnetic beads allow the detection of anti-glycan antibodies of different isotypes from various species. By generating anti-glycan antibody profiles, monoclonal antibodies can be screened for their specificity and cross-reactivity, while anti-glycan antibody profiles from different human body fluids can aid in predicting response to treatment or outcome of disease. This efficient, scalable protocol can also be adapted to attach proteins and other biomolecules to beads, making it useful for a wider range of applications that require bead-based laboratory methods.

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用于高通量、高重现性抗糖抗体分析的自动糖-珠偶联技术

诊断测定的自动化通常旨在提高可重复性和产量，同时减少人为错误和动手时间。在此，我们介绍一种使用 KingFisher Flex 磁粉处理器将聚糖与彩色编码磁珠进行自动化学连接的方案。生成的聚糖偶联磁珠可以检测不同物种的不同同种型抗聚糖抗体。通过生成抗糖蛋白抗体图谱，可以筛选单克隆抗体的特异性和交叉反应性，而不同人体液中的抗糖蛋白抗体图谱则有助于预测治疗反应或疾病结果。这种高效、可扩展的方案还可用于将蛋白质和其他生物大分子附着到珠子上，使其适用于需要基于珠子的实验室方法的更广泛应用。

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来源期刊

SLAS Technology Computer Science-Computer Science Applications

CiteScore

6.30

自引率

7.40%

发文量

审稿时长

106 days

期刊介绍： SLAS Technology emphasizes scientific and technical advances that enable and improve life sciences research and development; drug-delivery; diagnostics; biomedical and molecular imaging; and personalized and precision medicine. This includes high-throughput and other laboratory automation technologies; micro/nanotechnologies; analytical, separation and quantitative techniques; synthetic chemistry and biology; informatics (data analysis, statistics, bio, genomic and chemoinformatics); and more.