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Using LIBRA-seq to identify broadly-reactive influenza antibodies in human respiratory tissues for translation into novel monoclonal therapeutics

Using LIBRA-seq to identify broadly-reactive influenza antibodies in human respiratory tissues for translation into novel monoclonal therapeutics
使用 LIBRA-seq 识别人类呼吸道组织中广泛反应的流感抗体，以转化为新型单克隆疗法
批准号：
473524
负责人：
McGrath Joshua J
金额：
$10.93万
依托单位：
Weill Cornell Medical College (New York, NY)
依托单位国家：
加拿大
项目类别：
Fellowship Programs
财政年份：
2022
资助国家：
加拿大
项目状态：
未结题
起止时间：
2022-10-01 至 2025-10-01
来源：
https://webapps.cihr-irsc.gc.ca/decisions/p/project_details.html?applId=473524&lang=en
关键词：
Broadly-Protective Antibodies Children Influenza Lungs Mediastinal Lymph Nodes Memory B Cells Tonsils Translational

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Despite being identified 90 years ago, influenza virus remains one of the most dangerous respiratory pathogens worldwide. Each year, circulating influenza strains mutate to evade pre-existing immunity and kill ~400 000 people. In addition, unique strains
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Using LIBRA-seq to identify broadly-reactive influenza antibodies in human respiratory tissues for translation into novel monoclonal therapeutics
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