Production of a Monoclonal Antibody to the Nucleocapsid Protein of SARS-CoV-2 and Its Application to ELISA-Based Detection Methods with Broad Specificity by Combined Use of Detector Antibodies

Author:

Kim JinsooORCID,Kim DongbumORCID,Baek Kyeongbin,Kim Minyoung,Kang Bo Min,Maharjan Sony,Park SangkyuORCID,Choi Jun-Kyu,Kim Suyeon,Kim Yong Kyun,Park Man-Seong,Lee Younghee,Kwon Hyung-Joo

Abstract

The coronavirus disease 2019 pandemic, elicited by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is ongoing. Currently accessible antigen-detecting rapid diagnostic tests are limited by their low sensitivity and detection efficacy due to evolution of SARS-CoV-2 variants. Here, we produced and characterized an anti-SARS-CoV-2 nucleocapsid (N) protein-specific monoclonal antibody (mAb), 2A7H9. Monoclonal antibody 2A7H9 and a previously developed mAb, 1G10C4, have different specificities. The 2A7H9 mAb detected the N protein of S clade, delta, iota, and mu but not omicron, whereas the 1G10C4 antibody recognized the N protein of all variants under study. In a sandwich enzyme-linked immunosorbent assay, recombinant N protein bound to the 1G10C4 mAb could be detected by both 1G10C4 and 2A7H9 mAbs. Similarly, N protein bound to the 2A7H9 mAb was detected by both mAbs, confirming the existence of dimeric N protein. While the 1G10C4 mAb detected omicron and mu with higher efficiency than S clade, delta, and iota, the 2A7H9 mAb efficiently detected all the strains except omicron, with higher affinity to S clade and mu than others. Combined use of 1G10C4 and 2A7H9 mAb resulted in the detection of all the strains with considerable sensitivity, suggesting that antibody combinations can improve the simultaneous detection of virus variants. Therefore, our findings provide insights into the development and improvement of diagnostic tools with broader specificity and higher sensitivity to detect rapidly evolving SARS-CoV-2 variants.

Funder

National Research Foundation

Publisher

MDPI AG

Subject

Virology,Infectious Diseases

Reference46 articles.

1. Characteristics of SARS-CoV-2 and COVID-19;Hu;Nat. Rev. Microbiol.,2021

2. Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2): An Update;Pal;Cureus,2020

3. From SARS and MERS to COVID-19: A brief summary and comparison of severe acute respiratory infections caused by three highly pathogenic human coronaviruses;Zhu;Respir. Res.,2020

4. World Health Organization (2022, November 18). WHO Coronavirus Disease (COVID-19) Dashboard. Available online: https://covid19.who.int/.

5. End COVID-19 in low- and middle-income countries;Mobarak;Science,2022

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