Suppr超能文献

一种用于鉴定 SARS-CoV-2 中和抗体表位的实验流程。

An experimental pipeline to characterize the epitope of a SARS-CoV-2 neutralizing antibody.

机构信息

Department of Microbiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Graduate School of Biomedical Sciences, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

出版信息

mBio. 2024 Jan 16;15(1):e0247723. doi: 10.1128/mbio.02477-23. Epub 2023 Dec 6.

Abstract

The COVID-19 pandemic remains a significant public health concern for the global population; the development and characterization of therapeutics, especially ones that are broadly effective, will continue to be essential as severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) variants emerge. Neutralizing monoclonal antibodies remain an effective therapeutic strategy to prevent virus infection and spread so long as they recognize and interact with circulating variants. The epitope and binding specificity of a neutralizing anti-SARS-CoV-2 Spike receptor-binding domain antibody clone against many SARS-CoV-2 variants of concern were characterized by generating antibody-resistant virions coupled with cryo-EM structural analysis and VSV-spike neutralization studies. This workflow can serve to predict the efficacy of antibody therapeutics against emerging variants and inform the design of therapeutics and vaccines.

摘要

新冠疫情仍然是全球人口关注的重大公共卫生问题;随着严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)变异株的出现,开发和鉴定治疗方法,特别是广谱有效的治疗方法,仍将是至关重要的。中和单克隆抗体仍然是预防病毒感染和传播的有效治疗策略,只要它们能够识别和与流行的变异株相互作用。通过产生对多种关注的 SARS-CoV-2 变体具有抗性的抗体病毒颗粒,并结合冷冻电镜结构分析和 VSV 刺突中和研究,对一种中和 SARS-CoV-2 刺突受体结合域抗体克隆针对许多 SARS-CoV-2 变体的表位和结合特异性进行了表征。该工作流程可用于预测针对新出现的变异株的抗体治疗药物的疗效,并为治疗药物和疫苗的设计提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d0f9/10870823/c5879d6f5da7/mbio.02477-23.f001.jpg

相似文献

1
An experimental pipeline to characterize the epitope of a SARS-CoV-2 neutralizing antibody.
mBio. 2024 Jan 16;15(1):e0247723. doi: 10.1128/mbio.02477-23. Epub 2023 Dec 6.
2
An experimental pipeline to characterize the binding specificity of SARS-CoV-2 neutralizing antibodies.
bioRxiv. 2023 Apr 21:2023.04.20.537738. doi: 10.1101/2023.04.20.537738.
4
Cross-Neutralization of Emerging SARS-CoV-2 Variants of Concern by Antibodies Targeting Distinct Epitopes on Spike.
mBio. 2021 Dec 21;12(6):e0297521. doi: 10.1128/mBio.02975-21. Epub 2021 Nov 16.
6
Escape from neutralizing antibodies by SARS-CoV-2 spike protein variants.
Elife. 2020 Oct 28;9:e61312. doi: 10.7554/eLife.61312.
9
Mapping cross-variant neutralizing sites on the SARS-CoV-2 spike protein.
Emerg Microbes Infect. 2022 Dec;11(1):351-367. doi: 10.1080/22221751.2021.2024455.
10
Human antibody BD-218 has broad neutralizing activity against concerning variants of SARS-CoV-2.
Int J Biol Macromol. 2023 Feb 1;227:896-902. doi: 10.1016/j.ijbiomac.2022.12.120. Epub 2022 Dec 14.

引用本文的文献

本文引用的文献

1
Enhanced evasion of neutralizing antibody response by Omicron XBB.1.5, CH.1.1, and CA.3.1 variants.
Cell Rep. 2023 May 30;42(5):112443. doi: 10.1016/j.celrep.2023.112443. Epub 2023 Apr 18.
2
Imprinted SARS-CoV-2 humoral immunity induces convergent Omicron RBD evolution.
Nature. 2023 Feb;614(7948):521-529. doi: 10.1038/s41586-022-05644-7. Epub 2022 Dec 19.
3
Broadly neutralizing antibodies to SARS-CoV-2 and other human coronaviruses.
Nat Rev Immunol. 2023 Mar;23(3):189-199. doi: 10.1038/s41577-022-00784-3. Epub 2022 Sep 27.
5
Efficacy of Antibodies and Antiviral Drugs against Omicron BA.2.12.1, BA.4, and BA.5 Subvariants.
N Engl J Med. 2022 Aug 4;387(5):468-470. doi: 10.1056/NEJMc2207519. Epub 2022 Jul 20.
6
Rapid SARS-CoV-2 Adaptation to Available Cellular Proteases.
J Virol. 2022 Mar 9;96(5):e0218621. doi: 10.1128/jvi.02186-21. Epub 2022 Jan 12.
7
Omicron escapes the majority of existing SARS-CoV-2 neutralizing antibodies.
Nature. 2022 Feb;602(7898):657-663. doi: 10.1038/s41586-021-04385-3. Epub 2021 Dec 23.
8
Mechanisms of SARS-CoV-2 entry into cells.
Nat Rev Mol Cell Biol. 2022 Jan;23(1):3-20. doi: 10.1038/s41580-021-00418-x. Epub 2021 Oct 5.
9
Neutralizing activity of Sputnik V vaccine sera against SARS-CoV-2 variants.
Nat Commun. 2021 Jul 26;12(1):4598. doi: 10.1038/s41467-021-24909-9.
10
DeepEMhancer: a deep learning solution for cryo-EM volume post-processing.
Commun Biol. 2021 Jul 15;4(1):874. doi: 10.1038/s42003-021-02399-1.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验