A scalable high-throughput serolomics platform for profiling serum antibody responses in large-scale population-based cohorts.

IF 18.4 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Lea Kröller, Rima Jeske, Birgitta Michels, Julia Butt, Iona Millwood, Christiana Kartsonaki, Zhengming Chen, Jun Lv, Liming Li, Rasmus Gustafsson, Andrew Gordon, Frederik Romer, Hannah Fry, Sarah Clark, Michael Hill, Ling Yang, Alexander Mentzer, Tim Waterboer
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Abstract

Seroepidemiological assays play a crucial role in tracking immunity and infectious disease exposure across populations. Here we describe an automated assay platform that robustly quantifies antibodies against up to 100 antigens in a single reaction, using Luminex suspension array technology, alongside generating ample quality control measures. This automated multiplex serology workflow is an advancement of our previously developed manual and hybrid multiplex serology platforms. It combines multiple liquid handling systems (Biomeki7, BioTek 405 LS) and bead separation technology (KingFisher Flex) to improve scalability and reproducibility and facilitate its application in large-scale population-based cohorts. Study samples undergo automated processing, and antibody levels are quantified using the Luminex Flexmap3D instrument. A custom R-based application monitors process parameters and visualizes readouts in real time. Daily quality control samples allow subsequent normalization over extended periods of time and across reagent batches. Compared with previous assay versions, the higher degree of automation requires fewer laboratory operators and results in improved robustness and a more continuous throughput. Assay robustness is excellent, with median coefficients of variations between 2.8% and 11.7%, with no relevant batch effects over a 6-month period. Reproducibility across 47 antigens and 91 duplicate samples is remarkably high (R2 = 1.00). Using the automated platform, 1,820 study samples can be processed in a typical assay week. We have successfully completed the analysis for ~38,000 cohort samples, including comprehensive quality control data, in 88 assay days. Automated multiplex serology sets the foundation to generate high-quality serolomics data for large-scale cohorts in a reproducible, scalable and cost-effective fashion.

一个可扩展的高通量血清组学平台,用于分析大规模人群队列中的血清抗体反应。
血清流行病学分析在追踪人群免疫和传染病暴露方面发挥着至关重要的作用。在这里,我们描述了一个自动化的检测平台,该平台使用Luminex悬浮阵列技术,在单次反应中可靠地量化针对多达100种抗原的抗体,同时产生充足的质量控制措施。这种自动化的多路血清学工作流程是我们以前开发的手动和混合多路血清学平台的进步。它结合了多种液体处理系统(Biomeki7, BioTek 405 LS)和头分离技术(KingFisher Flex),以提高可扩展性和可重复性,并促进其在大规模人群队列中的应用。研究样本经过自动化处理,抗体水平使用Luminex Flexmap3D仪器进行量化。自定义的基于r的应用程序监视过程参数并实时显示读数。日常质量控制样品允许在延长的时间和跨试剂批次的后续规范化。与以前的分析版本相比,更高程度的自动化需要更少的实验室操作人员,从而提高了稳健性和更连续的吞吐量。分析稳健性非常好,变异系数中位数在2.8%到11.7%之间,在6个月的时间内没有相关的批次效应。47种抗原和91个重复样本的重复性非常高(R2 = 1.00)。使用自动化平台,在一个典型的分析周内可以处理1820个研究样本。我们在88个分析天内成功完成了约38,000个队列样本的分析,包括全面的质量控制数据。自动化多重血清学为以可重复、可扩展和具有成本效益的方式为大规模队列生成高质量血清学数据奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Nature Protocols
Nature Protocols 生物-生化研究方法
CiteScore
29.10
自引率
0.70%
发文量
128
审稿时长
4 months
期刊介绍: Nature Protocols focuses on publishing protocols used to address significant biological and biomedical science research questions, including methods grounded in physics and chemistry with practical applications to biological problems. The journal caters to a primary audience of research scientists and, as such, exclusively publishes protocols with research applications. Protocols primarily aimed at influencing patient management and treatment decisions are not featured. The specific techniques covered encompass a wide range, including but not limited to: Biochemistry, Cell biology, Cell culture, Chemical modification, Computational biology, Developmental biology, Epigenomics, Genetic analysis, Genetic modification, Genomics, Imaging, Immunology, Isolation, purification, and separation, Lipidomics, Metabolomics, Microbiology, Model organisms, Nanotechnology, Neuroscience, Nucleic-acid-based molecular biology, Pharmacology, Plant biology, Protein analysis, Proteomics, Spectroscopy, Structural biology, Synthetic chemistry, Tissue culture, Toxicology, and Virology.
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