Washington University Omics Production Center

华盛顿大学组学生产中心

• 批准号: 10743660
• 负责人: Gary J Patti
• 金额: $ 311万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-12 至 2028-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10743660
• 关键词: ATAC-seq; Agreement; Atlases; Award; Benchmarking; Biochemistry; Biological Assay; Chemical Exposure; Collection; Communities; Complex; Computer software; Data; Data Set; Diet; Disease; Early Diagnosis; Ensure; Environmental Exposure; Environmental Health; Etiology; Genes; Genetic; Genome; Genomics; Goals; Health; Human; Infrastructure; Leadership; Lipids; Malignant Neoplasms; Mass Spectrum Analysis; Measurement; Methods; Modeling; Molecular; Molecular Profiling; Multiomic Data; Nomenclature; Obesity; Participant; Pathogenesis; Phenotype; Physical activity; Population Heterogeneity; Positioning Attribute; Prevention; Procedures; Process; Production; Proteins; Proteomics; Protocols documentation; Quality Control; Research; Research Personnel; Resources; Sampling; Shipping; Signal Transduction; Site; Techniques; Technology; Toxin; United States National Institutes of Health; Universities; Washington; Water; Work; bisulfite sequencing; computerized data processing; data harmonization; data integration; design; epigenome; experience; flexibility; genome sequencing; human disease; human pangenome; improved; innovation; instrumentation; ion mobility; member; metabolomics; multidimensional data; multidisciplinary; multiple omics; nutrition; pathogen; phenotypic data; pollutant; precision medicine; quality assurance; recruit; social determinants; tool; transcriptome sequencing; transcriptomics; tumor; whole genome; working group

Project Summary To improve our understanding of human disease in ancestrally diverse populations, we propose to establish the Washington University Omics Production Center (WU-omics PC). As part of the Multi-Omics of Health and Disease Consortium, the WU-omics PC will help design a collaborative plan to: (i) explore the use of multi- omics, environmental exposure data, and phenotypic information to assess disease states; (ii) develop methods for data harmonization, integration, and interpretation in multi-omics studies; and (iii) create a rich set of robust multi-dimensional data to share with the research community. In the first year of the award, the WU- omics PC will work closely with other members of the Consortium to design a project roadmap that details strategies for subject recruitment, the types of biospecimens to be collected, sample handling and shipping procedures, omics techniques to be performed, and best practices for transferring and integrating harmonized data. After year 1, we propose for the WU-omics PC to collect whole genome sequencing, whole genome bisulfite sequencing, ATAC-seq, RNA-seq, proteomics, and metabolomics data by using the agreed upon methods. The WU-omics PC will collect omics data by using well-established workflows that the same investigative team has already successfully applied to other multi-omics studies of similar scope and scale. Our omics workflows have been extensively benchmarked and we have detailed protocols for quality assurance, quality control, and correction of batch effects. The WU-omics PC is uniquely positioned to accomplish its goals because the infrastructure to perform large-scale, high-throughput omics assays is already in place. Moreover, the leadership of the WU-omics PC has a successful track record of participating in omics consortia and provides complementary and synergistic research expertise in genetics, biochemistry, analytical instrumentation, computational data processing, and multi-dimensional data integration.

项目摘要 为了提高我们对不同祖先人群中人类疾病的理解，我们建议建立 华盛顿大学组学生产中心（WU-omics PC）。作为多组学的一部分， 疾病联盟，WU-omics PC将帮助设计一个合作计划，以：（一）探索使用多种 组学、环境暴露数据和表型信息，以评估疾病状态;（ii）开发 多组学研究中数据协调、整合和解释的方法;（iii）创建一个丰富的 强大的多维数据与研究社区共享。在获奖的第一年，WU- omics PC将与联盟的其他成员密切合作，设计一个项目路线图， 受试者招募策略、待采集的生物标本类型、样本处理和运输 转让和整合统一的信息和通信技术的程序、要采用的组学技术和最佳做法 数据第一年后，我们建议WU-组学PC收集全基因组测序， 亚硫酸氢盐测序、ATAC-seq、RNA-seq、蛋白质组学和代谢组学数据， 方法. WU-omics PC将通过使用相同的完善工作流程收集组学数据 研究团队已成功应用于其他类似范围和规模的多组学研究。我们 组学工作流程已经过广泛的基准测试，我们有详细的质量保证协议， 质量控制和批次效应的校正。WU-omics PC具有独特的定位， 因为进行大规模、高通量组学分析的基础设施已经到位。 此外，WU-omics PC的领导层在参与omics联盟方面有着成功的记录 并在遗传学、生物化学、分析和生物医学领域提供互补和协同的研究专长， 仪器仪表、计算数据处理和多维数据集成。