Evidence map›Paper›PMID 39939547›Full record

ArticleNature biomedical engineering2025

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

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 and 19 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature biomedical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

29 authors.

Alexandros P DrainasDepartment of Pediatrics, Stanford University, Stanford, CA, USA. drainas@stanford.edu.
David R McIlwainDepartment of Pathology, Stanford University, Stanford, CA, USA.
Alec DallasDepartment of Pediatrics, Stanford University, Stanford, CA, USA.
Theresa ChuDepartment of Pathology, Stanford University, Stanford, CA, USA.
Antonio Delgado-GonzálezDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-4760-8174
Maya BaronDepartment of Pediatrics, Stanford University, Stanford, CA, USA.
Maria Angulo-IbáñezDepartment of Medicine, Stanford University, Stanford, CA, USA.
Angelica TrejoDepartment of Microbiology and Immunology, Stanford University, Stanford, CA, USA.
Yunhao BaiDepartment of Pathology, Stanford University, Stanford, CA, USA.
John W HickeyDepartment of Pathology, Stanford University, Stanford, CA, USA.
Guolan LuDepartment of Pathology, Stanford University, Stanford, CA, USA.
Scott LuDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Jesus Pineda-RamirezDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Khamal AnglinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Eugene T RichardsonDepartment of Global Health and Social Medicine, Harvard Medical School, Boston, MA, USA.ORCID http://orcid.org/0000-0001-8437-0671
John C ProstkoApplied Research and Technology, Abbott Laboratories Inc., Abbott Park, IL, USA.
Edwin FriasApplied Research and Technology, Abbott Laboratories Inc., Abbott Park, IL, USA.
Venice ServellitaDepartment of Laboratory Medicine, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1745-4012
Noah BrazerDepartment of Laboratory Medicine, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, CA, USA.
Charles Y ChiuDepartment of Laboratory Medicine, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-2915-2094
Michael J PelusoDivision of HIV, Infectious Diseases and Global Medicine, University of California San Francisco, San Francisco, CA, USA.
Jeffrey N MartinDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Oliver F WirzDepartment of Pathology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0377-6464
Tho D PhamDepartment of Pathology, Stanford University, Stanford, CA, USA.
Scott D BoydDepartment of Pathology, Stanford University, Stanford, CA, USA.
J Daniel KellyDepartment of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, CA, USA.
Julien SageDepartment of Pediatrics, Stanford University, Stanford, CA, USA.
Garry P NolanDepartment of Pathology, Stanford University, Stanford, CA, USA. gnolan@stanford.edu.ORCID http://orcid.org/0000-0002-8862-9043
Xavier Rovira-ClavéDepartment of Pathology, Stanford University, Stanford, CA, USA. xrovirac@ibecbarcelona.eu.ORCID http://orcid.org/0000-0001-9994-7007

Funding

Systems Biology CoreU19AI100627 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI BEUTLER, BRUCE A · 2012 to 2021
$49.1M
Integrating Spatial Omics and Drug Imaging to Dissect the Role of Pancreatic Tumor Microenvironment in Drug ResistanceK99CA267171 · NCI · STANFORD UNIVERSITY · PI LU, GUOLAN · 2022 to 2023
$295k
CDC HHS 75D30120C08009NCI NIH HHS K99 CA267171NIAID NIH HHS U19 AI100627U.S. Department of Health & Human Services | Centers for Disease Control and Prevention (CDC) 75D30122C014367U.S. Department of Health & Human Services | NIH | National Institute of Allergy and Infectious Diseases (NIAID) 3U19AI100627-09S2
6 · The paper itself

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.

Indexed as

COVID-19COVID-19 Serological TestingHigh-Throughput Screening AssaysMass SpectrometrySARS-CoV-2Antibodies, ViralHumansImmunoglobulin GImmunoglobulin MMicrospheresPolystyrenesAntibodies, ViralImmunoglobulin GImmunoglobulin MPolystyrenes

Identifiers

PMID39939547
PMCPMC12270904

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.