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SARS-CoV-2 Epitope Mapping on Microarrays Highlights Strong Immune-Response to N Protein Region
| Content Provider | MDPI |
|---|---|
| Author | Angelo, Musicò Frigerio, Roberto Mussida, Alessandro Barzon, Luisa Sinigaglia, Alessandro Riccetti, Silvia Gobbi, Federico Piubelli, Chiara Bergamaschi, Greta Chiari, Marcella Gori, Alessandro Cretich, Marina |
| Copyright Year | 2021 |
| Description | A workflow for rapid SARS-CoV-2 epitope discovery on peptide microarrays is herein reported. The process started with a proteome-wide screening of immunoreactivity based on the use of a high-density microarray followed by a refinement and validation phase on a restricted panel of probes using microarrays with tailored peptide immobilization through a click-based strategy. Progressively larger, independent cohorts of Covid-19 positive sera were tested in the refinement processes, leading to the identification of immunodominant regions on SARS-CoV-2 spike (S), nucleocapsid (N) protein and Orf1ab polyprotein. A summary study testing 50 serum samples highlighted an epitope of the N protein (region 155–71) providing good diagnostic performance in discriminating Covid-19 positive vs. healthy individuals. Using this epitope, 92% sensitivity and 100% specificity were reached for IgG detection in Covid-19 samples, and no cross-reactivity with common cold coronaviruses was detected. Likewise, IgM immunoreactivity in samples collected within the first month after symptoms onset showed discrimination ability. Overall, epitope 155–171 from N protein represents a promising candidate for further development and rapid implementation in serological tests. |
| Starting Page | 35 |
| e-ISSN | 2076393X |
| DOI | 10.3390/vaccines9010035 |
| Journal | Vaccines |
| Issue Number | 1 |
| Volume Number | 9 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2021-01-11 |
| Access Restriction | Open |
| Subject Keyword | Vaccines Biochemical Research Sars-cov-2 Covid-19 Serological Test Epitope Mapping Peptide Microarrays Click Chemistry |
| Content Type | Text |
| Resource Type | Article |