Isolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samples
<p>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causing agent for COVID-19, has led to over 7 million deaths since it was first detected in Wuhan, China in December 2019. Antibodies induced by both vaccination and infection are crucial for the immune protection ag...
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| Format: | Thesis |
| Language: | English |
| Published: |
2024
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| _version_ | 1826313327373975552 |
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| author | Liu, C |
| author2 | Screaton, GR |
| author_facet | Screaton, GR Liu, C |
| author_sort | Liu, C |
| collection | OXFORD |
| description | <p>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causing agent for COVID-19, has led to over 7 million deaths since it was first detected in Wuhan, China in December 2019. Antibodies induced by both vaccination and infection are crucial for the immune protection against SARS-CoV-2, with some monoclonal antibodies (mAbs) therapeutically in use. Throughout the pandemic, we dedicated ourselves to isolate thousands of human monoclonal antibodies recognising the spike protein (S) from human peripheral blood mononuclear cells (PBMCs) of convalescent patients recovered from primary or breakthrough infections and characterised their neutralising abilities against eight SARS-CoV-2 live variants and more than 30 pseudo-viruses expressing variant S proteins. We also devised a competition data-driven method to map RBD binding sites of RBD-specific antibodies. To assess the immune escape abilities of variants of concern (VoC), we measured their neutralisation by a panel of plasma obtained from vaccinees or convalescent individuals infected by different variants. Using these data, we built a model to analyse the antigenic distance between variants to illustrate the emerging antigenic landscape of SARS-CoV-2. This provides important new insights for immunisation policy and sheds light on the construction of future variant vaccines.</p> |
| first_indexed | 2024-09-25T04:11:17Z |
| format | Thesis |
| id | oxford-uuid:e39be37f-e95a-450f-a908-c3486655e1c7 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-09-25T04:11:17Z |
| publishDate | 2024 |
| record_format | dspace |
| spelling | oxford-uuid:e39be37f-e95a-450f-a908-c3486655e1c72024-06-14T16:20:25ZIsolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samplesThesishttp://purl.org/coar/resource_type/c_db06uuid:e39be37f-e95a-450f-a908-c3486655e1c7ImmunologyEnglishHyrax Deposit2024Liu, CScreaton, GRMongkolsapaya, J<p>Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which is the causing agent for COVID-19, has led to over 7 million deaths since it was first detected in Wuhan, China in December 2019. Antibodies induced by both vaccination and infection are crucial for the immune protection against SARS-CoV-2, with some monoclonal antibodies (mAbs) therapeutically in use. Throughout the pandemic, we dedicated ourselves to isolate thousands of human monoclonal antibodies recognising the spike protein (S) from human peripheral blood mononuclear cells (PBMCs) of convalescent patients recovered from primary or breakthrough infections and characterised their neutralising abilities against eight SARS-CoV-2 live variants and more than 30 pseudo-viruses expressing variant S proteins. We also devised a competition data-driven method to map RBD binding sites of RBD-specific antibodies. To assess the immune escape abilities of variants of concern (VoC), we measured their neutralisation by a panel of plasma obtained from vaccinees or convalescent individuals infected by different variants. Using these data, we built a model to analyse the antigenic distance between variants to illustrate the emerging antigenic landscape of SARS-CoV-2. This provides important new insights for immunisation policy and sheds light on the construction of future variant vaccines.</p> |
| spellingShingle | Immunology Liu, C Isolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samples |
| title | Isolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samples |
| title_full | Isolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samples |
| title_fullStr | Isolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samples |
| title_full_unstemmed | Isolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samples |
| title_short | Isolation and identification of SARS-CoV-2 antibodies from COVID-19 patient samples |
| title_sort | isolation and identification of sars cov 2 antibodies from covid 19 patient samples |
| topic | Immunology |
| work_keys_str_mv | AT liuc isolationandidentificationofsarscov2antibodiesfromcovid19patientsamples |