Core for COVID-19 Cohort IMPACC

COVID-19 队列 IMPACC 核心

• 批准号: 10265707
• 负责人: David A. Hafler
• 金额: $ 95.5万
• 依托单位: YALE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-05-14 至 2023-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10265707
• 关键词: Age; Antiviral Agents; Arboviruses; Bioinformatics; Biological; Biological Models; Blood; Borrelia burgdorferi; COVID-19; Cell physiology; Cells; Clinic; Clinical; Collaborations; Collection; Communicable Diseases; Complement; Complex; Culicidae; Data; Data Analyses; Disease; Disease Outcome; Elements; Enrollment; Future; Genetic; Goals; Health Status; Human; Image Cytometry; Immune; Immune response; Immune system; Immunity; Immunologic Factors; Immunological Models; Immunology; Immunophenotyping; In Vitro; Individual; Infection; Influenza vaccination; Infrastructure; Institutes; Institution; Intervention; Laboratories; Lyme Disease; Maps; Mathematics; Methods; Microbe; Molecular; Molecular Profiling; Music; Outcome; Output; Pathogenesis; Pathway interactions; Patients; Population; Predisposition; Records; Research; Research Personnel; Research Project Grants; Resistance; Resolution; Resources; Sampling; Scientist; Serum; Severities; Standardization; System; Systemic disease; Systems Biology; Technology; Tissues; Translating; University Hospitals; Viral; Virulence; West Nile virus; Work; age effect; arthropod-borne; base; body system; clinically relevant; cohort; comorbidity; data integration; data management; experience; gene function; human disease; human pathogen; immune function; metabolomics; nanoscale; new technology; novel; pathogen; pathogenic bacteria; pathogenic virus; patient population; patient stratification; programs; recruit; response; sharing platform; success; tick transmission; tool; transcriptome sequencing; vector-borne infection

The overall goal of the Human Immunology Project Consortium (HIPC) program is to capitalize on recent advances in immune profiling methods in order to create a novel public resource that characterizes diverse states of the human immune system. We propose to contribute to this program through deep interrogation and a broad systems approach that will identify molecular signatures of divergent human immune responses to infections. The three projects that comprise our U19 each leverage a common experimental infrastructure to focus on a different infectious diseases: the Lyme disease spirochete Borrelia burgdorferi, emerging arthropod-borne West Nile virus, and effects of aging on vaccination against influenza. Our goal is to delineate human immune signatures that are associated with the divergent manifestations in the population, using well-defined patient cohorts and a multidimensional analytical approach to quantitatively assess primary human immune cell function. Our program employs cutting-edge immune profiling such as multidimensional profiling by CyTOF, metabolomics, nanoscale technologies such as MuSIC (MultiSpectral Imaging Cytometry), and RNA-seq on single cells that will inform a systems approach to elucidate the biologic signatures defining immune responsiveness. Commonalities between the responses in different tissues, and to the different infection types, will be determined by quantifying signature enrichments, and by identifying conserved active sub-networks in this immune-specific functional network. This collaborative U19 takes advantage of enormous strengths across our institutions to tackle a challenging issue in human immunology. The investigators in this proposal have established collaborations, regular interactions, and a track record of shared success. Our three research projects are supported by shared cores for Administration, Data Management and Analysis, Single Cell Immunophenotyping, and Clinical Recruitment. The united goal of these varied approaches is to define elements of the immune response that contribute to divergent infection outcomes. This multifactorial, wide-angle view of the immune response will be compiled employing the expertise of each individual approach for Systems Modeling from deep interrogation of three sets of stratified patient cohorts. The output of this functional systems immunology approach will be definitions of human immune signatures following multiple forms of infectious challenges with the ultimate goal of defining future targets for intervention and predicting susceptibility or resistance.

人类免疫学项目联盟 (HIPC) 计划的总体目标是利用最近的成果 免疫分析方法的进步，以创建具有不同特征的新型公共资源 人体免疫系统的状态。我们建议通过深入的方式为该计划做出贡献 询问和广泛的系统方法将识别不同的分子特征 人类对感染的免疫反应。组成我们 U19 的三个项目各自利用 共同的实验基础设施专注于不同的传染病：莱姆病 螺旋体伯氏疏螺旋体、新出现的节肢动物传播的西尼罗河病毒以及衰老对 接种流感疫苗。我们的目标是描绘与相关的人类免疫特征 使用明确的患者队列和多维的方法来了解人群中的不同表现 定量评估人类主要免疫细胞功能的分析方法。我们的计划采用 尖端免疫分析，例如 CyTOF 多维分析、代谢组学、纳米级分析 MuSIC（多光谱成像细胞术）和单细胞 RNA-seq 等技术 提供一种系统方法来阐明定义免疫反应性的生物特征。 不同组织和不同感染类型的反应之间的共性将是 通过量化签名丰富度并通过识别此中保守的活跃子网络来确定 免疫特异性功能网络。 这种合作 U19 利用我们各机构的巨大优势来解决 人类免疫学中具有挑战性的问题。该提案中的研究人员已经建立了合作关系， 定期互动，以及共同成功的记录。我们的三个研究项目得到了以下机构的支持 管理、数据管理和分析、单细胞免疫表型分析的共享核心，以及 临床招募。这些不同方法的共同目标是定义免疫的要素 导致不同感染结果的反应。这种免疫的多因素、广角视图 将利用系统建模的每种单独方法的专业知识来编译响应 对三组分层患者队列进行深入询问。该功能系统的输出 免疫学方法将是多种形式的感染后人类免疫特征的定义 挑战的最终目标是确定未来的干预目标并预测易感性或 反抗。