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-Structure paper
タイトル | High-throughput identification of prefusion-stabilizing mutations in SARS-CoV-2 spike. |
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ジャーナル・号・ページ | Nat Commun, Vol. 14, Issue 1, Page 2003, Year 2023 |
掲載日 | 2023年4月10日 |
著者 | Timothy J C Tan / Zongjun Mou / Ruipeng Lei / Wenhao O Ouyang / Meng Yuan / Ge Song / Raiees Andrabi / Ian A Wilson / Collin Kieffer / Xinghong Dai / Kenneth A Matreyek / Nicholas C Wu / |
PubMed 要旨 | Designing prefusion-stabilized SARS-CoV-2 spike is critical for the effectiveness of COVID-19 vaccines. All COVID-19 vaccines in the US encode spike with K986P/V987P mutations to stabilize its ...Designing prefusion-stabilized SARS-CoV-2 spike is critical for the effectiveness of COVID-19 vaccines. All COVID-19 vaccines in the US encode spike with K986P/V987P mutations to stabilize its prefusion conformation. However, contemporary methods on engineering prefusion-stabilized spike immunogens involve tedious experimental work and heavily rely on structural information. Here, we establish a systematic and unbiased method of identifying mutations that concomitantly improve expression and stabilize the prefusion conformation of the SARS-CoV-2 spike. Our method integrates a fluorescence-based fusion assay, mammalian cell display technology, and deep mutational scanning. As a proof-of-concept, we apply this method to a region in the S2 domain that includes the first heptad repeat and central helix. Our results reveal that besides K986P and V987P, several mutations simultaneously improve expression and significantly lower the fusogenicity of the spike. As prefusion stabilization is a common challenge for viral immunogen design, this work will help accelerate vaccine development against different viruses. |
リンク | Nat Commun / PubMed:37037866 / PubMed Central |
手法 | EM (単粒子) |
解像度 | 3.66 Å |
構造データ | EMDB-29374: Structure of SARS-CoV2 spike protein |
由来 |
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