Evidence map›Paper›PMID 33767397›Full record

ArticleNature biotechnology2021

Engineering luminescent biosensors for point-of-care SARS-CoV-2 antibody detection.

Susanna K Elledge, Xin X Zhou, James R Byrnes, Alexander J Martinko, Irene Lui, Katarina Pance, Shion A Lim, Jeff E Glasgow, Anum A Glasgow, Keirstinne Turcios and 9 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature biotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

84 citing papers in PubMed, 140 citations in OpenAlex.

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  13. Aptameric Metal-Organic Framework Nanobiosensor.ACS applied nano materials · 2024
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24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 3 institutions in 1 country.

Susanna K Elledge *Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-9621-3881
Xin X Zhou *Department of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
James R ByrnesDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0297-1209
Alexander J MartinkoSoteria Biotherapeutics, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-4025-959X
Irene LuiDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-6171-5443
Katarina PanceDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0983-8347
Shion A LimDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Jeff E GlasgowDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.
Anum A GlasgowDepartment of Bioengineering and Therapeutic Sciences, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-0938-881X
Keirstinne TurciosDivision of Experimental Medicine, University of California, San Francisco, San Francisco CA, USA.
Nikita S IyerDivision of Experimental Medicine, University of California, San Francisco, San Francisco CA, USA.
Leonel TorresDivision of Experimental Medicine, University of California, San Francisco, San Francisco CA, USA.
Michael J PelusoDivision of HIV, Infectious Diseases, and Global Medicine, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-0585-6230
Timothy J HenrichDivision of Experimental Medicine, University of California, San Francisco, San Francisco CA, USA.
Taia T WangChan Zuckerberg Biohub, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3894-685X
Cristina M TatoChan Zuckerberg Biohub, San Francisco, CA, USA.
Kevin K LeungDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-2087-4974
Bryan GreenhouseDivision of Experimental Medicine, University of California, San Francisco, San Francisco CA, USA.
James A WellsDepartment of Pharmaceutical Chemistry, University of California, San Francisco, San Francisco, CA, USA. jim.wells@ucsf.edu.ORCID http://orcid.org/0000-0001-8267-5519
University of California, San Francisco · USChan Zuckerberg Initiative (United States) · USAtara Biotherapeutics (United States) · US

Funding

Developing, Demonstrating, and Disseminating Innovative Programs to Achieve Translational SuccessUL1TR001866 · NCATS · ROCKEFELLER UNIVERSITY · PI COLLER, BARRY, KRUEGER, JAMES G · 2016 to 2025
$40.6M
Understanding B cell memory in response to diverse virus infectionsU19AI111825 · NIAID · ROCKEFELLER UNIVERSITY · PI NUSSENZWEIG, MICHEL C · 2014 to 2023
$26.0M
Training in HIV Translational ResearchT32AI060530 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Diane V Havlir · 2005 to 2026
$6.4M
Surfaceomic technologies and antibodies to probe cell surface proteomes and their interactomes at unprecedented small scale and high-resolutionR35GM122451 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JAMES A WELLS · 2017 to 2026
$5.3M
Targeting Non Viral Markers of HIV PersistenceR01AI141003 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HENRICH, TIMOTHY JENSEN · 2018 to 2022
$4.9M
Regulation of the IgG Fc domain repertoireR01AI139119 · NIAID · STANFORD UNIVERSITY · PI WANG, TAIA · 2019 to 2023
$2.8M
Mentoring translational scientists in international infectious disease researchK24AI144048 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Bryan R Greenhouse · 2019 to 2026
$1.6M
Mapping and rewiring protein allosteryR00GM135529 · NIGMS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GLASGOW, ANUM AZAM · 2022 to 2024
$747k
Mapping and rewiring protein allosteryK99GM135529 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GLASGOW, ANUM AZAM · 2020 to 2021
$194k
Characterizing and Targeting the Hypoxic T Cell Surfaceome to Promote Immune Function in CancerF32CA239417 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BYRNES, JAMES ROBERT · 2019 to 2021
$191k
Interrogating and rewiring cell signaling pathways in CAR-T cells with synthetic phosphotyrosine recognition domainsK99EB030587 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ZHOU, XIN · 2020 to 2021
$174k
NCATS NIH HHS UL1 TR001866NCI NIH HHS F32 CA239417NIAID NIH HHS K24 AI144048NIAID NIH HHS R01 AI139119NIAID NIH HHS R01 AI141003NIAID NIH HHS T32 AI060530NIAID NIH HHS U19 AI111825NIBIB NIH HHS K99 EB030587NIGMS NIH HHS K99 GM135529NIGMS NIH HHS R00 GM135529NIGMS NIH HHS R35 GM122451
6 · The paper itself

Abstract

Current serology tests for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies mainly take the form of enzyme-linked immunosorbent assays, chemiluminescent microparticle immunoassays or lateral flow assays, which are either laborious, expensive or lacking sufficient sensitivity and scalability. Here we present the development and validation of a rapid, low-cost, solution-based assay to detect antibodies in serum, plasma, whole blood and to a lesser extent saliva, using rationally designed split luciferase antibody biosensors. This new assay, which generates quantitative results in 30 min, substantially reduces the complexity and improves the scalability of coronavirus disease 2019 (COVID-19) antibody tests. This assay is well-suited for point-of-care, broad population testing, and applications in low-resource settings, for monitoring host humoral responses to vaccination or viral infection.

Indexed as

Point-of-Care SystemsAntibodies, ViralBiosensing TechniquesCOVID-19COVID-19 Serological TestingHumansLuminescenceSARS-CoV-2Antibodies, Viral

Identifiers

PMID33767397
PMCPMC8355051
OpenAlexW3137813344

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.