Evidence map›Paper›PMID 37242341›Full record

ArticlePathogens (Basel, Switzerland)2023

MultiSero: An Open-Source Multiplex-ELISA Platform for Measuring Antibody Responses to Infection.

Janie R Byrum, Eric Waltari, Owen Janson, Syuan-Ming Guo, Jenny Folkesson, Bryant B Chhun, Joanna Vinden, Ivan E Ivanov, Marcus L Forst, Hongquan Li and 17 more

Abstract read
In one paragraph

Article in Pathogens (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

27 authors.

Janie R ByrumChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Eric WaltariChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-6930-9645
Owen JansonDivision of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA.
Syuan-Ming GuoChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Jenny FolkessonChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Bryant B ChhunChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Joanna VindenInfectious Diseases and Immunity Graduate Program, University of California, Berkeley, CA 94720-3370, USA.
Ivan E IvanovChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0001-6389-0213
Marcus L ForstChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-2087-1255
Hongquan LiDepartment of Electrical Engineering, Stanford University, Stanford, CA 94305, USA.
Adam G LarsonDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Lena BlackmonChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.ORCID 0000-0002-3197-8453
Ziwen LiuChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Wesley WuChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Vida AhyongChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Cristina M TatoChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Krista M McCutcheonChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Rebecca HohDivision of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA.
J Daniel KellyDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA.ORCID 0000-0002-7616-0321
Jeffrey N MartinDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA 94158, USA.
Michael J PelusoDivision of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA.
Timothy J HenrichDivision of Experimental Medicine, University of California, San Francisco, CA 94110, USA.
Steven G DeeksDivision of HIV, Infectious Disease, and Global Medicine, University of California, San Francisco, CA 94143, USA.
Manu PrakashChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Bryan GreenhouseChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
Shalin B MehtaChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.
John E PakChan Zuckerberg Biohub-San Francisco, San Francisco, CA 94158, USA.

Funding

Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
Targeting Non Viral Markers of HIV PersistenceR01AI141003 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENRICH, TIMOTHY JENSEN · 2018 to 2022
$4.9M
Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
Characterizing the virologic and immunologic signatures of HIV exceptional controlK23AI157875 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI PELUSO, MICHAEL JOSEPH · 2021 to 2025
$927k
Understanding the epidemiology and natural history of unrecognized Ebola virus infectionK23AI146268 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KELLY, JOHN DANIEL · 2019 to 2022
$748k
NIAID NIH HHS K23 AI146268NIAID NIH HHS K23 AI157875NIAID NIH HHS K24 AI144048NIAID NIH HHS L30 AI126521NIAID NIH HHS L30 AI147159NIAID NIH HHS T32 AI060530NIH HHS 3R01AI141003-03S1
6 · The paper itself

Abstract

A multiplexed enzyme-linked immunosorbent assay (ELISA) that simultaneously measures antibody binding to multiple antigens can extend the impact of serosurveillance studies, particularly if the assay approaches the simplicity, robustness, and accuracy of a conventional single-antigen ELISA. Here, we report on the development of multiSero, an open-source multiplex ELISA platform for measuring antibody responses to viral infection. Our assay consists of three parts: (1) an ELISA against an array of proteins in a 96-well format; (2) automated imaging of each well of the ELISA array using an open-source plate reader; and (3) automated measurement of optical densities for each protein within the array using an open-source analysis pipeline. We validated the platform by comparing antibody binding to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) antigens in 217 human sera samples, showing high sensitivity (0.978), specificity (0.977), positive predictive value (0.978), and negative predictive value (0.977) for classifying seropositivity, a high correlation of multiSero determined antibody titers with commercially available SARS-CoV-2 antibody tests, and antigen-specific changes in antibody titer dynamics upon vaccination. The open-source format and accessibility of our multiSero platform can contribute to the adoption of multiplexed ELISA arrays for serosurveillance studies, for SARS-CoV-2 and other pathogens of significance.

Indexed as

ELISAmultiplexopen-sourceSARS-CoV-2serologyserosurveillance

Identifiers

PMID37242341
PMCPMC10221076

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.