Systems Immunology profiling of respiratory viral infections in vulnerable populations

易感人群呼吸道病毒感染的系统免疫学分析

• 批准号: 10420950
• 负责人: Scott Presnell
• 金额: $ 32.63万
• 依托单位: BENAROYA RESEARCH INST AT VIRGINIA MASON
• 依托单位国家: 美国
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-03-29 至 2027-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10420950
• 关键词: Acute; Archives; Asthma; B-Cell Antigen Receptor; Biological; Cells; Clinical; Clinical Data; Consultations; Cytometry; DNA Methylation; Data; Data Analyses; Data Security; Data Set; Data Storage and Retrieval; Disease; Ensure; Experimental Designs; Genetic; Genomics; Goals; Immunology; Infrastructure; Leadership; Membrane Proteins; Metadata; Monitor; National Institute of Allergy and Infectious Disease; Phase; Phenotype; Process; Proteomics; Reporting; Research Institute; Research Personnel; Research Project Grants; Resources; Rheumatoid Arthritis; Sampling; Services; Site; System; T-Cell Receptor; Techniques; Time; United States National Institutes of Health; Universities; Update; Viral; Viral Respiratory Tract Infection; Visualization; Vulnerable Populations; Washington; Work; atopy; data acquisition; data analysis pipeline; data integration; data management; data resource; data sharing; data standards; data tools; database of Genotypes and Phenotypes; design; experience; experimental analysis; genomic data; high dimensionality; large scale data; longitudinal analysis; member; programs; repository; respiratory infection virus; tool; transcriptome; transcriptome sequencing; transcriptomics; viral RNA

SUMMARY/ABSTRACT The Data Management and Analysis Core will provide data analysis and management services for the BRI HIPC Center entitled “Systems immunology profiling of respiratory viral infections in vulnerable populations”. This core will serve both Research Projects, receiving demographic and clinical data from the Clinical Core, high quality ‘omics data from the Genomics Core, and high-dimensional cytometry from the Adaptive Phenotyping Core. The Data Management and Analysis Core will ensure a unified approach to experimental design and analysis for all projects and cores, be responsible for the flow of data and information across all components of the Center, be responsible for the submission of completed data sets/projects to ImmPort, and assist other Center members and Cores with submission to ImmuneSpace, GEO and other public archives. To meet these goals, the DMAC will leverage existing infrastructure and expertise that exist at the Benaroya Research Institute. The Data Management and Analysis Core has four Specific Aims, In Specific Aim 1, the Data Management and Analysis Core will provide analysis services and consultation for all BRI HIPC projects. In Specific Aim 2, the Data Management and Analysis Core will provide central storage, management and information security for data generated by the BRI HIPC Center. In Specific Aim 3, the Data Management and Analysis Core will integrate data management infrastructure with the Genomics, Adaptive Phenotyping, Clinical and Administrative Cores. In Specific Aim 4, the Data Management and Analysis Core will coordinate the timely submission of BRI HIPC data sets to ImmPort and other repositories, according to the NIAID standards, and the data sharing plan. Data will be submitted in conformance with existing format standards and meta-data annotation standards to facilitate integration with data from other HIPC investigators and with ImmPort tools for data retrieval, visualization, and analysis. The key impactful features of the Data Management and Analysis Core are the processing, tracking, and storage of HIPC Center data, the presentation of actionable information in the process of completing both Research Projects, and the transformation of HIPC Center data into information and interpretation via analysis.

摘要/摘要 数据管理与分析核心将为“一带一路”提供数据分析与管理服务 重债穷国中心题为“弱势群体呼吸道病毒感染的系统免疫学分析”。 该核心将为两个研究项目提供服务，从临床核心接收人口统计和临床数据， 来自 Genomics Core 的高质量组学数据以及来自 Adaptive 的高维细胞计数 表型核心。数据管理和分析核心将确保实验的统一方法 所有项目和核心的设计和分析，负责所有项目和信息的流动 中心的组成部分，负责向 ImmPort 提交完整的数据集/项目，以及 协助其他中心成员和核心成员向 ImmuneSpace、GEO 和其他公共档案馆提交文件。到 为了实现这些目标，DMAC 将利用贝纳罗亚现有的基础设施和专业知识 研究所。数据管理和分析核心有四个具体目标，在具体目标 1 中， 数据管理和分析核心将为所有“一带一路”重债穷国项目提供分析服务和咨询。 在具体目标 2 中，数据管理和分析核心将提供中央存储、管理和 “一带一路”重债穷国中心生成的数据的信息安全。在具体目标 3 中，数据管理和 Analysis Core 将数据管理基础设施与基因组学、自适应表型分析、临床 和行政核心。在具体目标 4 中，数据管理和分析核心将协调 根据 NIAID 标准，及时向 ImmPort 和其他存储库提交 BRI HIPC 数据集， 以及数据共享计划。数据将按照现有格式标准和元数据提交 注释标准，以促进与其他 HIPC 研究人员的数据以及 ImmPort 工具的集成 数据检索、可视化和分析。数据管理和分析的主要影响功能 核心是重债穷国中心数据的处理、跟踪和存储，可操作信息的呈现 在完成这两个研究项目以及将重债穷国中心数据转化为 通过分析获得信息和解释。