Evidence map›Paper›PMID 34013166›Full record

ArticleChemRxiv : the preprint server for chemistry2021

Developing a SARS-CoV-2 Antigen Test Using Engineered Affinity Proteins.

Seunghyeon Kim, Emma Yee, Eric A Miller, Yining Hao, Dousabel M Y Tay, Ki-Joo Sung, Huan Jia, Joseph M Johnson, Mohsan Saeed, Charles R Mace and 2 more

Open access · greenAbstract readPreprint
In one paragraph

Article in ChemRxiv : the preprint server for chemistry, 2021. 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
0.1field-weighted citation impact, top 51% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 2 countries.

Seunghyeon Kim *Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-6515-2679
Emma Yee *Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.
Eric A MillerDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-6217-3922
Yining HaoDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-4066-048X
Dousabel M Y TayDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0003-0516-9801
Ki-Joo SungDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0001-8120-538X
Huan JiaAntimicrobial Resistance Integrated Research Group, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore 138602, Singapore.ORCID 0000-0002-8091-8932
Joseph M JohnsonQuanterix Corporation, Billerica, MA 01821, USA.
Mohsan SaeedDepartment of Biochemistry, Boston University School of Medicine, Boston, MA 02118, USA.
Charles R MaceDepartment of Chemistry, Tufts University, Medford, MA 02155, USA.
Deniz Yüksel Yurt3M Company, St. Paul, MN 55133, USA.
Hadley D SikesDepartment of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.ORCID 0000-0002-7096-138X
Massachusetts Institute of Technology · US3M (United States) · USBoston University · USQuanterix (United States) · USSingapore-MIT Alliance for Research and Technology · SGTufts University · US

Funding

Technology Training and Dissemination CoreU54EB027690 · NIBIB · EMORY UNIVERSITY · PI Wilbur A Lam, GREGORY S MARTIN · 2018 to 2026
$96.1M
NIBIB NIH HHS U54 EB027690
6 · The paper itself

Abstract

The ongoing COVID-19 pandemic has clearly established how vital rapid, widely accessible diagnostic tests are in controlling infectious diseases and how difficult and slow it is to scale existing technologies. Here, we demonstrate the use of the rapid affinity pair identification via directed selection (RAPIDS) method to discover multiple affinity pairs for SARS-CoV-2 nucleocapsid protein (N-protein), a biomarker of COVID-19, from in vitro libraries in 10 weeks. The pair with the highest biomarker sensitivity was then integrated into a 10-minute, vertical-flow cellulose paper test. Notably, the as-identified affinity proteins were compatible with a roll-to-roll printing process for large-scale manufacturing of tests. The test achieved 40 pM and 80 pM limits of detection in 1×PBS (mock swab) and saliva matrices spiked with cell-culture generated SARS-CoV-2 viruses and is also capable of detection of N-protein from characterized clinical swab samples. Hence, this work paves the way towards the mass production of cellulose paper-based assays which can address the shortages faced due to dependence on nitrocellulose and current manufacturing techniques. Further, the results reported herein indicate the promise of RAPIDS and engineered binder proteins for the timely and flexible development of clinically relevant diagnostic tests in response to emerging infectious diseases.

Indexed as

affinity proteinscellulosecellulose binding domainscellulose binding modulescovid-19directed evolutionenzyme-linked immunosorbent assayflow test stripslibrary screeningpeptidesproteinsrapid detection testrcSso7droll to roll manufacturingthermostable proteinyeast surface display

Identifiers

PMID34013166
PMCPMC8132241
OpenAlexW3193165436

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.