• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

抗原绘图:概述与最新进展。

Antigenic Cartography: Overview and Current Developments.

机构信息

Exotic and Emerging Avian Viral Diseases Unit, US National Poultry Research Center, US Department of Agriculture, Agricultural Research Service, Athens, GA, USA.

出版信息

Methods Mol Biol. 2020;2123:61-68. doi: 10.1007/978-1-0716-0346-8_5.

DOI:10.1007/978-1-0716-0346-8_5
PMID:32170680
Abstract

Antigenic cartography is a powerful method that allows for the calculation of antigenic distances between influenza viruses or sera and their positioning on a map, by quantifying raw data from hemagglutination inhibition assays. As a consequence, the antigenic drift of influenza viruses over time can be visualized in a straightforward manner. Antigenic cartography is not only useful in the research of influenza virus evolution but also in the surveillance of influenza viruses. Most importantly, antigenic cartography plays a very important role in vaccine updating decisions, since by calculating the antigenic distances between a vaccine strain and circulating strains, an informed decision can be made on whether the distances are large enough to warrant a vaccine update or not. Recent improvements in antigenic cartography calculations have significantly improved its accuracy.

摘要

抗原图谱是一种强大的方法,通过量化血凝抑制试验的原始数据,可以计算流感病毒或血清之间的抗原距离,并在地图上定位,从而直观地显示流感病毒随时间的抗原漂移。抗原图谱不仅在流感病毒进化的研究中有用,而且在流感病毒的监测中也很有用。最重要的是,抗原图谱在疫苗更新决策中起着非常重要的作用,因为通过计算疫苗株与流行株之间的抗原距离,可以做出明智的决策,即距离是否足够大,是否需要更新疫苗。抗原图谱计算的最新改进显著提高了其准确性。

相似文献

1
Antigenic Cartography: Overview and Current Developments.抗原绘图:概述与最新进展。
Methods Mol Biol. 2020;2123:61-68. doi: 10.1007/978-1-0716-0346-8_5.
2
A computational framework for influenza antigenic cartography.流感抗原绘图的计算框架。
PLoS Comput Biol. 2010 Oct 7;6(10):e1000949. doi: 10.1371/journal.pcbi.1000949.
3
Use of antigenic cartography in vaccine seed strain selection.抗原图谱在疫苗种子株选择中的应用。
Avian Dis. 2010 Mar;54(1 Suppl):220-3. doi: 10.1637/8740-032509-ResNote.1.
4
Hemagglutination Inhibition Assay.血凝抑制试验。
Methods Mol Biol. 2020;2123:11-28. doi: 10.1007/978-1-0716-0346-8_2.
5
Antigenic and genetic evolution of swine influenza A (H3N2) viruses in Europe.欧洲甲型流感病毒(H3N2)的抗原性和基因进化
J Virol. 2007 Apr;81(8):4315-22. doi: 10.1128/JVI.02458-06. Epub 2007 Feb 7.
6
The Molecular Determinants of Antibody Recognition and Antigenic Drift in the H3 Hemagglutinin of Swine Influenza A Virus.甲型猪流感病毒H3血凝素中抗体识别和抗原漂移的分子决定因素
J Virol. 2016 Aug 26;90(18):8266-80. doi: 10.1128/JVI.01002-16. Print 2016 Sep 15.
7
Antigenic characterization of influenza and SARS-CoV-2 viruses.流感病毒和 SARS-CoV-2 病毒的抗原特征。
Anal Bioanal Chem. 2022 Apr;414(9):2841-2881. doi: 10.1007/s00216-021-03806-6. Epub 2021 Dec 14.
8
Antigenic and genetic variation in the hemagglutinins of H1N1 and H3N2 human influenza a viruses in the Shanghai area from 2005 to 2008.2005 年至 2008 年期间上海地区 H1N1 和 H3N2 人甲型流感病毒血凝素的抗原和遗传变异。
J Med Virol. 2011 Jul;83(7):1113-20. doi: 10.1002/jmv.22078. Epub 2011 Apr 22.
9
Antigenic distance measurements for seasonal influenza vaccine selection.季节性流感疫苗选择的抗原距离测量。
Vaccine. 2012 Jan 5;30(2):448-53. doi: 10.1016/j.vaccine.2011.10.051. Epub 2011 Nov 7.
10
Antigenic analysis of H5N1 highly pathogenic avian influenza viruses circulating in Egypt (2006-2012).埃及(2006-2012 年)流行的 H5N1 高致病性禽流感病毒的抗原性分析。
Vet Microbiol. 2013 Dec 27;167(3-4):651-61. doi: 10.1016/j.vetmic.2013.09.022. Epub 2013 Sep 25.

引用本文的文献

1
Evolution and Spread of Y280-Lineage H9N2 Low Pathogenicity Avian Influenza Viruses in Korea, 2020-2023.2020 - 2023年韩国Y280谱系H9N2低致病性禽流感病毒的进化与传播
Transbound Emerg Dis. 2025 Aug 13;2025:8009335. doi: 10.1155/tbed/8009335. eCollection 2025.
2
Evaluation of Different Machine Learning Approaches to Predict Antigenic Distance Among Newcastle Disease Virus (NDV) Strains.评估不同机器学习方法预测新城疫病毒(NDV)毒株间抗原距离的能力。
Viruses. 2025 Apr 14;17(4):567. doi: 10.3390/v17040567.
3
Studying bats using a One Health lens: bridging the gap between bat virology and disease ecology.
运用“同一健康”视角研究蝙蝠:弥合蝙蝠病毒学与疾病生态学之间的差距。
J Virol. 2024 Dec 17;98(12):e0145324. doi: 10.1128/jvi.01453-24. Epub 2024 Nov 5.
4
Cell binding tropism of rat hepatitis E virus is a pivotal determinant of its zoonotic transmission to humans.大鼠戊型肝炎病毒的细胞嗜性是其对人类发生人畜共患病传播的关键决定因素。
Proc Natl Acad Sci U S A. 2024 Nov 5;121(45):e2416255121. doi: 10.1073/pnas.2416255121. Epub 2024 Oct 28.
5
Charting the Impact of Maternal Antibodies and Repeat Exposures on Sapovirus Immunity in Early Childhood From a Nicaraguan Birth Cohort.描绘尼加拉瓜出生队列中母体抗体和重复暴露对幼儿沙波病毒免疫的影响
J Infect Dis. 2025 Feb 20;231(2):480-489. doi: 10.1093/infdis/jiae368.
6
Strategy to develop broadly effective multivalent COVID-19 vaccines against emerging variants based on Ad5/35 platform.基于 Ad5/35 平台开发针对新兴变异株的广谱有效多价 COVID-19 疫苗的策略。
Proc Natl Acad Sci U S A. 2024 Mar 5;121(10):e2313681121. doi: 10.1073/pnas.2313681121. Epub 2024 Feb 26.
7
Vaccination of poultry against highly pathogenic avian influenza - part 1. Available vaccines and vaccination strategies.家禽高致病性禽流感疫苗接种 - 第1部分。可用疫苗及接种策略。
EFSA J. 2023 Oct 10;21(10):e08271. doi: 10.2903/j.efsa.2023.8271. eCollection 2023 Oct.
8
Vaccines against Major Poultry Viral Diseases: Strategies to Improve the Breadth and Protective Efficacy.重大禽类病毒性疾病疫苗:提高广度和保护效力的策略。
Viruses. 2022 May 31;14(6):1195. doi: 10.3390/v14061195.
9
Assessing the Reliability of SARS-CoV-2 Neutralization Studies That Use Post-Vaccination Sera.评估使用接种疫苗后血清的新冠病毒中和试验的可靠性。
Vaccines (Basel). 2022 May 26;10(6):850. doi: 10.3390/vaccines10060850.
10
Computation of Antigenicity Predicts SARS-CoV-2 Vaccine Breakthrough Variants.计算抗原性可预测 SARS-CoV-2 疫苗突破性变异株。
Front Immunol. 2022 Mar 24;13:861050. doi: 10.3389/fimmu.2022.861050. eCollection 2022.