Biobanking and Phenotyping Core

生物样本库和表型分析核心

• 批准号: 10704275
• 负责人: Alfred Hyoungju Kim
• 金额: $ 22.7万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2028-08-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10704275
• 关键词: Acceleration; Address; Animal Experimentation; Animal Experiments; Archives; Bioinformatics; Biological; Biometry; Clinical; Clinical Data; Collaborations; Collection; Complex; Consultations; Cost Savings; Cytometry; Data; Data Collection; Data Set; Databases; Direct Costs; Education; Ensure; Genome; Genome engineering; Genomics; Goals; Grant; Human; Image; Immunologic Monitoring; Immunophenotyping; Improve Access; Individual; Informatics; Learning; Logistics; Manuscripts; Methodology; Methods; Molecular; Mus; Needs Assessment; Online Systems; Participant; Pathogenesis; Phenotype; Play; Policies; Preclinical Testing; Process; Proteomics; Registries; Research; Research Personnel; Resources; Rheumatism; Role; Sampling; Services; Surveys; Technology; Testing; Time; Translational Research; United States National Institutes of Health; Universities; Validation; Washington; advanced analytics; biobank; cellular imaging; clinical phenotype; clinical practice; complex data; data registry; data sharing; data submission; health assessment; health disparity; human disease; human tissue; member; next generation sequencing; pre-clinical; prevent; prospective; response; sample archive; sequencing platform; transcriptomics

Project Summary/Abstract—Biobank & Phenotyping Core (BPC) Translational research will continue to play a central role in the 21st century research and clinical practice, but substantial barriers exist to accessing clinical data, biospecimens, and cutting-edge genomic and proteomic technologies and analytics. The Washington University Rheumatic Diseases Research Resource-based Center (WU-RDRRC) Biobank and Phenotyping Core (BPC) eases the high hurdle of executing rigorous translational research by streamlining and accelerating the process from clinical data and biospecimen access and collection to full analysis. The goals of the BPC are to 1) improve access archived clinical data and biospecimens and assist with the prospective collection of the same, 2) access cutting-edge technologies including next-generation sequencing platforms, mass cytometry including imaging mass cytometry, and spatial transcriptomics, and 3) provide sophisticated informatics and biostatistical support and education for the integration of registry data along with molecular data generated in #2. These services also interface with other WU-RDRRC Cores such as the Genome Engineering Core and the Cellular Imaging Core to provide preclinical functional testing. We accomplish the goals of the WU- RDRRC BPC through the following three Specific Aims: Aim 1. Facilitate the collection of rigorously phenotyped clinical data and high-quality biospecimens using the BPC-Biobank. The BPC-Biobank provides WU-RDRRC members a unified mechanism to access archived samples and simplify the prospective collection of data and samples for investigators, preventing duplication of complicated logistics and providing substantial cost savings. Aim 2. Support state-of-the-art proteomic, genomic, and transcriptomic methods to interrogate human biospecimens and murine samples: The BPC Biospecimen Analytics Core (BAC). The BPC-BAC integrates cutting-edge technologies to extract molecular features from biologic samples in a streamlined pipeline that dramatically reduced the learning and access to execute impactful translational research. Both proteomic and genomic features (including spatial transcriptomics) are obtained using highly streamlined workflows individualized to each investigator’s needs at discounted rates for WU-RDRRC members. Aim 3. Provide integrated bioinformatics and analytics support for complex datasets: the Integrative Informatics Core (IIC). The BPC-IIC maximizes research potential by directly and simply addressing the “last mile” problem in translational research. By easing access to high-level complex analytic pipelines, the IIC provides “one-stop shopping” for WU-RDRRC members to leverage the wide array of advanced analytic pipelines and expertise with complex datasets by providing informatics and biostatistical services and education that enable the integration of individual-level clinical, demographic, SDOH, and PRO data collected in Aim 1 with proteomic and NGS molecular datasets in Aim 2.

项目摘要/摘要——生物样本库和表型分析核心 (BPC) 转化研究将继续在 21 世纪的研究和临床实践中发挥核心作用，但是 在获取临床数据、生物样本以及消除基因组学和蛋白质组学方面的障碍方面存在着巨大的困难 技术和分析。 华盛顿大学风湿病研究资源中心 (WU-RDRRC) 生物库和 表型分析核心 (BPC) 通过简化和简化执行严格的转化研究，从而缓解了执行严格转化研究的高障碍。 加速从临床数据和生物样本的获取和收集到全面分析的过程。 BPC 将 1) 改善对存档临床数据和生物样本的访问，并协助前瞻性研究 相同的集合，2）获取尖端技术，包括下一代测序平台， 质谱流式细胞术，包括成像质谱流式细胞术和空间转录组学，3) 提供复杂的 为登记数据与分子数据的整合提供信息学和生物统计支持和教育 这些服务还与其他 WU-RDRRC 核心（例如基因组工程）接口。 核心和细胞成像核心提供临床前功能测试，我们实现了 WU- 的目标。 RDRRC BPC 通过以下三个具体目标： 目标 1. 使用以下方法促进严格表型临床数据和高质量生物样本的收集 BPC-Biobank 为 WU-RDRRC 成员提供了访问存档的统一机制。 样本并简化研究人员的数据和样本的前瞻性收集，防止重复 复杂的物流并可节省大量成本。 目标 2. 支持最先进的蛋白质组学、基因组学和转录组学方法来研究人类 生物样本和鼠类样本：BPC 生物样本分析核心 (BAC) 集成。 通过简化的流程从生物样本中提取分子特征的尖端技术 大大减少了执行有影响力的转化研究的学习和机会。 使用高度简化的工作流程获得基因组特征（包括空间转录组学） 为 WU-RDRRC 成员提供个性化折扣，以满足每位研究者的需求。 目标 3. 为复杂数据集提供综合生物信息学和分析支持：综合信息学 核心（IIC）。BPC-IIC 通过直接、简单地解决“最后一英里”问题来最大限度地发挥研究潜力。 通过简化对高级复杂分析流程的访问，IIC 提供了“一站式”服务。 为 WU-RDRRC 成员提供“购物”服务，以利用广泛的先进分析流程和专业知识 通过提供信息学和生物统计服务和教育来处理复杂的数据集 将目标 1 中收集的个体水平临床、人口统计、SDOH 和 PRO 数据与蛋白质组学和 目标 2 中的 NGS 分子数据集。