Development of a double‐antibody sandwich ELISA for detection of SARS‐CoV‐2 variants based on nucleocapsid protein‐specific antibodies

The COVID-19 pandemic, driven by the SARS-CoV-2 virus, has posed a severe threat to global public health. Rapid, reliable, and easy-to-use detection methods for SARS-CoV-2 variants are critical for effective epidemic prevention and control. The N protein of SARS-CoV-2 serves as an ideal target for antigen detection. In this study, we achieved soluble expression of the recombinant SARS-CoV-2 N protein using an Escherichia coli expression system and generated specific monoclonal antibodies by immunizing BALB/c mice. We successfully developed 10 monoclonal antibodies against the N protein, designated 5B7, 5F2-C11, 5E2-E8, 6C3-D8, 7C8, 9F2-E9, 12H5-D11, 13G2-C10, 14E9-F6, and 15H3-E10. Using these antibodies, we established a sandwich ELISA with 6C3-D8 as the capture antibody and 5F2-C11 as the detection antibody. The assay demonstrated a sensitivity of 0.78 ng/mL and showed no cross-reactivity with MERS-CoV, HCoV-OC43, HCoV-NL63, and HCoV-229E. Furthermore, this method successfully detected both wild-type SARS-CoV-2 and its variants, including Alpha, Beta, Delta, and Omicron. These findings indicate that our sandwich ELISA exhibits excellent sensitivity, specificity, and broad-spectrum applicability, providing a robust tool for detecting SARS-CoV-2 variants.

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Publication Details

Journal
Microbiology and Immunology
Published
2024-09-17
DOI
https://doi.org/10.1111/1348-0421.13173
Citations
3
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
1.17
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article

Development of a double‐antibody sandwich ELISA for detection of SARS‐CoV‐2 variants based on nucleocapsid protein‐specific antibodies

Yongjun Jiao, Fengjuan Shi, Huimin Yin, Pingmin Wei et al.
3 citations
Microbiology and Immunology
SARS-CoV-2 and COVID-19 Research
1.17
article

Development of a double‐antibody sandwich ELISA for detection of SARS‐CoV‐2 variants based on nucleocapsid protein‐specific antibodies

Yongjun Jiao, Fengjuan Shi, Huimin Yin, Pingmin Wei, Hai Lv
article en
3 citations

Abstract

The COVID-19 pandemic, driven by the SARS-CoV-2 virus, has posed a severe threat to global public health. Rapid, reliable, and easy-to-use detection methods for SARS-CoV-2 variants are critical for effective epidemic prevention and control. The N protein of SARS-CoV-2 serves as an ideal target for antigen detection. In this study, we achieved soluble expression of the recombinant SARS-CoV-2 N protein using an Escherichia coli expression system and generated specific monoclonal antibodies by immunizing BALB/c mice. We successfully developed 10 monoclonal antibodies against the N protein, designated 5B7, 5F2-C11, 5E2-E8, 6C3-D8, 7C8, 9F2-E9, 12H5-D11, 13G2-C10, 14E9-F6, and 15H3-E10. Using these antibodies, we established a sandwich ELISA with 6C3-D8 as the capture antibody and 5F2-C11 as the detection antibody. The assay demonstrated a sensitivity of 0.78 ng/mL and showed no cross-reactivity with MERS-CoV, HCoV-OC43, HCoV-NL63, and HCoV-229E. Furthermore, this method successfully detected both wild-type SARS-CoV-2 and its variants, including Alpha, Beta, Delta, and Omicron. These findings indicate that our sandwich ELISA exhibits excellent sensitivity, specificity, and broad-spectrum applicability, providing a robust tool for detecting SARS-CoV-2 variants.

Microbiology and ImmunologyVol. 68(11)
Jiangsu Provincial Center for Disease Control and Prevention (CN), Southeast University (CN)
Good health and well-being
Openalex Percentile: Top 21%
SARS-CoV-2 and COVID-19 Research
1.17
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Development of a double‐antibody sandwich ELISA for detection of SARS‐CoV‐2 variants based on nucleocapsid protein‐specific antibodies — Yongjun Jiao, Fengjuan Shi, et al. · Microbiology and Immunology (2024) | TGRS Research Map | TGRS