Your browser doesn't support javascript.
Developing a SARS-CoV-2 Antigen Test Using Engineered Affinity Proteins.
Kim, Seunghyeon; Yee, Emma; Miller, Eric A; Hao, Yining; Tay, Dousabel M Y; Sung, Ki-Joo; Jia, Huan; Johnson, Joseph M; Saeed, Mohsan; Mace, Charles R; Yüksel Yurt, Deniz; Sikes, Hadley D.
  • Kim S; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Yee E; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Miller EA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Hao Y; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Tay DMY; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Sung KJ; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States.
  • Jia H; Antimicrobial Resistance Integrated Research Group, Singapore-MIT Alliance for Research and Technology, 1 CREATE Way, Singapore 138602, Singapore.
  • Johnson JM; Quanterix Corporation, Billerica, Massachusetts 01821, United States.
  • Saeed M; Department of Biochemistry, Boston University School of Medicine, Boston, Massachusetts 02118, United States.
  • Mace CR; National Emerging Infectious Diseases Laboratories (NEIDL), Boston, Massachusetts 02188, United States.
  • Yüksel Yurt D; Department of Chemistry, Tufts University, Medford, Massachusetts 02155, United States.
  • Sikes HD; 3M Company, St. Paul, Minnesota 55133, United States.
ACS Appl Mater Interfaces ; 13(33): 38990-39002, 2021 Aug 25.
Article in English | MEDLINE | ID: covidwho-1351922
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
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 min, 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 and 80 pM limits of detection in 1× phosphate-buffered saline (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 toward 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.
Subject(s)
Keywords

Full text: Available Collection: International databases Database: MEDLINE Main subject: Nucleocapsid Proteins / COVID-19 Serological Testing / SARS-CoV-2 / Antigens, Viral Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: ACS Appl Mater Interfaces Journal subject: Biotechnology / Biomedical Engineering Year: 2021 Document Type: Article Affiliation country: Acsami.1c08174

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: Nucleocapsid Proteins / COVID-19 Serological Testing / SARS-CoV-2 / Antigens, Viral Type of study: Diagnostic study / Prognostic study / Randomized controlled trials Limits: Humans Language: English Journal: ACS Appl Mater Interfaces Journal subject: Biotechnology / Biomedical Engineering Year: 2021 Document Type: Article Affiliation country: Acsami.1c08174