SARS-CoV-2 Surveillance Studies and Genome Sequencing in Rural New England

新英格兰农村地区的 SARS-CoV-2 监测研究和基因组测序

• 批准号: 10381159
• 负责人: MICHAEL L WHITFIELD
• 金额: $ 81.26万
• 依托单位: DARTMOUTH COLLEGE
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-08-01 至 2024-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10381159
• 关键词: Advisory Committees; Antibiotic Resistance; Area; Arts; Autoimmunity; Big Data; Bioinformatics; Biological Process; Biological Sciences; Biology; Biometry; Biopsy; COVID-19 surveillance; Cells; Center for Translational Science Activities; Centers of Research Excellence; Clinical; Clinical Sciences; Collaborations; Communities; Computational Biology; Data; Data Analytics; Discipline; Disease; Engineering; Environment; Epidemiology; Extramural Activities; Faculty; Faculty Recruitment; Fibrosis; Fostering; Funding; Generations; Genomics; Goals; Grant; Growth; Health; Home; Human; Immune; Immunology; Infrastructure; Institutes; Institution; International; Leadership; Lung; Malignant Neoplasms; Mathematics; Measures; Medical center; Medicine; Mentors; Methods; Microbiology; Modeling; Molecular; Molecular Biology; Molecular Epidemiology; New England; Organism; Pathogenesis; Pilot Projects; Population; Positioning Attribute; Productivity; Proteomics; Research; Research Infrastructure; Research Personnel; Research Project Grants; Research Support; Resource Sharing; Resources; Rural; Schools; Science; Scientist; Structure; System; Systems Biology; Talents; Technology; Testing; Tissues; Translating; Translational Research; United States National Institutes of Health; Universities; Vermont; Vision; Whole Organism; Work; base; biological research; biological systems; biomedical data science; cell type; cohesion; college; computer science; computing resources; data integration; education research; experience; experimental study; faculty support; genome sequencing; high throughput technology; human disease; improved; insight; interdisciplinary approach; medical schools; member; metabolomics; multidisciplinary; new technology; next generation; novel; programs; recruit; senior faculty; success; surveillance study; tenure track; treatment response

Center for Quantitative Biology: A focus on "omics", from organisms to single cells PROJECT SUMMARY High-throughput genomic, proteomic, metabolomic, and immune-profiling technologies now provide a wealth of data that can be mined to interrogate basic biological processes, changes in cellular or organismal populations, and the molecular bases of disease, at levels ranging from the whole organism to single cells. The rapid advancement of high-throughput technologies for measuring biological systems has generated a significant demand at Dartmouth College for platforms that support ‘-omics’ in single cells, but also multidisciplinary and interdisciplinary approaches to computational biology. The goal of this COBRE program is to establish a Center for Quantitative Biology (CQB), which will support and enhance NIH-funded quantitative biological research at Dartmouth and facilitate its integration with wet-bench, experimental biology. The CQB will draw upon Faculty in the Arts & Sciences, Thayer School of Engineering, and the Geisel School of Medicine at Dartmouth. The success of CQB will benefit the entire Dartmouth community by facilitating data integration at all levels. The Center will recruit and provide a cohesive community for diverse scientists that could have homes in departments spanning Geisel, Arts & Sciences and the Thayer School, including Biomedical Data Science, Molecular & Systems Biology, Epidemiology, Microbiology and Immunology, Biological Sciences, Computer Science and Mathematics. Through its emphasis on next-generation data, as well as analysis of wet-bench-based “big data” omics, CQB is will synergize computational biology and biostatistics with ongoing experimental genomic initiatives across Dartmouth. This goal is being accomplished through the following three specific aims: Aim 1: Maintain the CQB, which will be focused on developing, supporting, and enhancing computational biology and single-cell dynamics, be nationally and internationally recognized, and foster highly productive collaborations among experimental biologists and quantitative researchers. The COBRE-CQB will provide a key environment for additional faculty recruitment, mentoring, education, and research in quantitative biology. Aim 2: Expand the breadth and impact of research from NIH-funded quantitative biologists at Dartmouth by: (1) continuing to recruit talented quantitative biology faculty; (2) further mentoring junior quantitative biologists; and (3) provide systems for translating single-cell dynamics to applications in human disease. Each project in the program will focus on a different aspect of computational biology and genomic research, with the shared goal of identifying factors that influence common human diseases, such as cancer. Aim 3: Promote synergistic collaborations between quantitative biologists and experimental biologists through five related research projects, a Single-Cell Genomics Core, and a Data Analytics Core. The five projects will be supported by an Administrative Core (that will provide oversight and management for the grant). Dartmouth has also made a substantial institutional commitment to the success and long-term sustainability of the CQB, including the commitment to hiring five new tenure-track faculty across campus. Dartmouth will also provide institutional program enrichment funds to support research infrastructure, scientific exchange, and a pilot project program to foster a vibrant intellectual community, recruit new project leaders, and enhance the impact and funding competitiveness of all CQB members. With experienced leadership, efficient administrative structures, and a compelling vision for a new paradigm that interweaves computational and experimental early-stage translational research, CQB will develop a critical mass of extramurally-funded investigators and thus thrive as a freestanding, nationally-recognized Center of Biomedical Research Excellence at Dartmouth.

定量生物学中心：关注“组学”，从有机体到单细胞 项目概要 高通量基因组、蛋白质组、代谢组和免疫分析技术现在提供了丰富的 可以挖掘来询问基本生物过程、细胞或生物群体变化的数据， 以及疾病的分子基础，从整个有机体到单细胞的水平。 用于测量生物系统的高通量技术的进步产生了重大影响 达特茅斯学院需要支持单细胞“组学”的平台，同时也支持多学科和 该 COBRE 项目的目标是建立一个计算生物学中心。 定量生物学（CQB），这将支持和加强 NIH 资助的定量生物学研究 达特茅斯学院并促进其与湿台实验生物学的整合。 达特茅斯艺术与科学学院、塞耶工程学院和盖泽尔医学院。 CQB 的成功将促进各级数据集成，使整个达特茅斯社区受益。 中心将为不同的科学家招募并提供一个有凝聚力的社区，这些科学家可以在各部门安家 横跨盖塞尔学院、艺术与科学学院和塞耶学院，包括生物医学数据科学、分子与科学 系统生物学、流行病学、微生物学和免疫学、生物科学、计算机科学和 数学通过强调下一代数据以及基于湿台的“大数据”分析。 组学方面，CQB 将计算生物学和生物统计学与正在进行的实验基因组学相结合 达特茅斯学院通过以下三个具体目标来实现这一目标： 目标 1： 维护 CQB，其重点是开发、支持和增强计算生物学和 单细胞动力学，得到国内和国际认可，并促进高效的合作 COBRE-CQB 将为实验生物学家和定量研究人员提供一个关键环境。 用于定量生物学方面的额外教师招聘、指导、教育和研究。 目标 2：扩大研究范围。 NIH 资助的达特茅斯定量生物学家研究的广度和影响力：(1) 继续招募 才华横溢的定量生物学教师；(2) 进一步指导初级定量生物学家；(3) 提供系统； 该计划中的每个项目都将侧重于将单细胞动力学转化为人类疾病的应用。 计算生物学和基因组研究的不同方面，其共同目标是确定影响因素 影响常见的人类疾病，例如癌症。 目标 3：促进之间的协同合作。 定量生物学家和实验生物学家通过五个相关的研究项目，即单细胞基因组学 核心和数据分析核心这五个项目将由管理核心（将提供）支持。 达特茅斯学院还做出了实质性的机构承诺。 CQB 的成功和长期可持续性，包括承诺聘用五名新的终身教授 达特茅斯校园的教师还将提供机构项目丰富基金来支持研究。 基础设施、科学交流和试点项目计划，以培育充满活力的知识界、招募 新的项目领导者，并增强所有 CQB 成员的影响力和资金竞争力。 经验丰富的领导层、高效的管理结构以及对新范式的令人信服的愿景 将计算和实验早期转化研究交织在一起，CQB 将发展临界质量 的外部资助的研究人员，从而作为一个独立的、国家认可的中心蓬勃发展 达特茅斯生物医学研究卓越。