Evidence map›Paper›PMID 36200787›Full record

ArticleCurrent protocols2022

Using Split Luminescent Biosensors for SARS-CoV-2 Antibody Detection in Serum, Plasma, and Blood Samples.

Susanna K Elledge, Ian Eigl, Maira Phelps, Khayla McClinton, Xin X Zhou, Kevin K Leung, Cristina M Tato, James A Wells

Open access · greenAbstract read
In one paragraph

Article in Current protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 32% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
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

8 authors at 4 institutions in 2 countries.

Susanna K ElledgeDepartment of Pharmaceutical Chemistry, University of California, San Francisco, California.
Ian EiglDepartment of Pharmaceutical Chemistry, University of California, San Francisco, California.
Maira PhelpsChan Zuckerberg Biohub, San Francisco, California.
Khayla McClintonIQVIA, Atlanta, Georgia.
Xin X ZhouCancer Biology, Dana Farber Cancer Institute, Boston, Massachusetts.
Kevin K LeungDepartment of Pharmaceutical Chemistry, University of California, San Francisco, California.
Cristina M TatoChan Zuckerberg Biohub, San Francisco, California.
James A WellsDepartment of Pharmaceutical Chemistry, University of California, San Francisco, California.
University of California, San Francisco · USChan Zuckerberg Initiative (United States) · USDana-Farber Cancer Institute · USIQVIA (United Kingdom) · GB

Funding

Interrogating and rewiring cell signaling pathways in CAR-T cells with synthetic phosphotyrosine recognition domainsR00EB030587 · NIBIB · DANA-FARBER CANCER INST · PI ZHOU, XIN · 2022 to 2024
$733k
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
Damon Runyon Cancer Research Foundation DRG-2297-17National Science Foundation 1650113NIBIB NIH HHS K99 EB030587NIBIB NIH HHS R00 EB030587NIH HHS 1K99EB030587-01
6 · The paper itself

Abstract

Antibody detection assays are essential for evaluating immunity of individuals against a given virus, and this has been particularly relevant during the COVID-19 pandemic. Current serology assays either require a laboratory setting and take >1 hr (i.e., enzyme-linked immunosorbent assay [ELISA]) or are rapid but only qualitative in nature and cannot accurately track antibody levels over time (i.e., lateral flow assay [LFA]). Therefore, there is a need for development of a rapid and simple but also quantitative assay that can evaluate antibody levels in patients accurately over time. We have developed an assay that uses a split nanoluciferase fused to the spike or nucleocapsid proteins of the SARS-CoV-2 virus to enable luminescent-based detection of spike- or nucleocapsid-binding antibodies in serum, plasma, and whole blood samples. The resulting approach is simple, rapid, and quantitative and is highly amenable to low-/medium-throughput scale using plate-based assays, high-throughput scale using robotics, and point-of-care applications. In this article, we describe how to perform the assay in a laboratory setting using a plate reader or liquid-handling robotics and in a point-of-care setting using a handheld, battery-powered luminometer. Together, these assays allow antibody detection to be easily performed in multiple settings by simplifying and reducing assay time in a laboratory or clinical environment and by allowing for antibody detection in point-of-care, nonlaboratory settings. © 2022 Wiley Periodicals LLC. Basic Protocol: SARS-CoV-2 antibody detection using the split-luciferase assay on a medium-throughput scale with a laboratory luminometer Alternate Protocol 1: High-throughput-based protocol for SARS-CoV-2 antibody detection using a robotic platform Alternate Protocol 2: Point-of-care-based protocol for SARS-CoV-2 antibody detection using a handheld luminometer Support Protocol: Determining positive/negative cutoffs for test samples and standardizing the assay between days.

Indexed as

Biosensing TechniquesCOVID-19Antibodies, ViralClinical Laboratory TechniquesHumansLuciferasesNucleocapsid ProteinsPandemicsSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralLuciferasesNucleocapsid Proteinsantibody detectionbiosensorsserology assaysplit nanoluciferase

Identifiers

PMID36200787
PMCPMC9793882
OpenAlexW4302760619

What OpenQuestion holds

Textmetadata
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.