High-throughput multiplexed serology via the mass-spectrometric analysis of isotopically barcoded beads

IF 26.8 1区医学 Q1 ENGINEERING, BIOMEDICAL

Nature Biomedical Engineering Pub Date : 2025-02-12 DOI:10.1038/s41551-025-01349-0

Alexandros P. Drainas, David R. McIlwain, Alec Dallas, Theresa Chu, Antonio Delgado-González, Maya Baron, Maria Angulo-Ibáñez, Angelica Trejo, Yunhao Bai, John W. Hickey, Guolan Lu, Scott Lu, Jesus Pineda-Ramirez, Khamal Anglin, Eugene T. Richardson, John C. Prostko, Edwin Frias, Venice Servellita, Noah Brazer, Charles Y. Chiu, Michael J. Peluso, Jeffrey N. Martin, Oliver F. Wirz, Tho D. Pham, Scott D. Boyd, J. Daniel Kelly, Julien Sage, Garry P. Nolan, Xavier Rovira-Clavé

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Abstract

In serology, each sample is typically tested individually, one antigen at a time. This is costly and time consuming. Serology techniques should ideally allow recurrent measurements in parallel in small sample volumes and be inexpensive and fast. Here we show that mass cytometry can be used to scale up multiplexed serology testing by leveraging polystyrene beads uniformly loaded with combinations of stable isotopes. We generated 18,480 unique isotopically barcoded beads to simultaneously detect, in a single tube with 924 serum samples, the levels of immunoglobulins G and M against 19 proteins from SARS-CoV-2 (a total of 36,960 tests in 400 nl of sample volume and 30 μl of reaction volume). As a rapid, high-throughput and cost-effective technique, serology by mass cytometry may contribute to the effective management of public health emergencies originating from infectious diseases.

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来源期刊

Nature Biomedical Engineering Medicine-Medicine (miscellaneous)

CiteScore

45.30

自引率

1.10%

发文量

138

期刊介绍： Nature Biomedical Engineering is an online-only monthly journal that was launched in January 2017. It aims to publish original research, reviews, and commentary focusing on applied biomedicine and health technology. The journal targets a diverse audience, including life scientists who are involved in developing experimental or computational systems and methods to enhance our understanding of human physiology. It also covers biomedical researchers and engineers who are engaged in designing or optimizing therapies, assays, devices, or procedures for diagnosing or treating diseases. Additionally, clinicians, who make use of research outputs to evaluate patient health or administer therapy in various clinical settings and healthcare contexts, are also part of the target audience.