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：从生物到单个细胞的重点 项目摘要 高通量基因组，蛋白质组学，代谢组和免疫促进技术现在提供了丰富的丰富 可以挖掘以询问基本生物学过程，细胞或有机种群的变化的数据， 以及疾病的分子碱基，从整个生物到单细胞的水平。快速 用于测量生物系统的高通量技术的进步产生了重要的 达特茅斯学院（Dartmouth College 计算生物学的跨学科方法。该毛线计划的目标是建立一个中心 用于定量生物学（CQB），它将支持和增强NIH资助的定量生物学研究 达特茅斯（Dartmouth）并促进了其与湿基础生物学的整合。 CQB将在 艺术与科学，Thayer工程学院和达特茅斯的Geisel医学院。这 CQB的成功将通过支持各个级别的数据集成来使整个达特茅斯社区受益。这 中心将招募并为潜水员科学家提供一个有凝聚力的社区，这些科学家可能在部门中拥有房屋 跨越盖斯尔，艺术与科学和泰耶学校，包括生物医学数据科学，分子和 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，以及对基于湿基础的“大数据”的分析 OMICS，CQB将与持续的实验基因组合成计算生物学和生物统计学 达特茅斯各地的倡议。通过以下三个特定目标来实现此目标：目标1： 维护CQB，该CQB将侧重于开发，支持和增强计算生物学和 单细胞动力学，在国内和国际上得到认可，并促进高产的合作 在实验生物学家和定量研究人员中。 COBRE-CQB将提供关键环境 用于定量生物学方面的其他教师招聘，心理，教育和研究。目标2：扩展 NIH资助的定量生物学家在达特茅斯的研究的广度和影响：（1）继续招募 才华横溢的定量生物学教师； （2）进一步的心理初级定量生物学家； （3）提供系统 用于将单细胞动力转换为人类疾病中的应用。程序中的每个项目都将重点放在 计算生物学和基因组研究的一个不同方面，其共同目标是确定因素 影响常见的人类疾病，例如癌症。目标3：促进协同合作 定量生物学家和实验生物学家通过五个相关研究项目，这是一个单细胞基因组学 核心和数据分析核心。这五个项目将由行政核心支持（这将提供 赠款的监督和管理）。达特茅斯还做出了实质性的机构承诺 CQB的成功和长期可持续性，包括致力于雇用五个新的任期的承诺 整个校园的教师。达特茅斯还将提供机构计划丰富资金以支持研究 基础设施，科学交流和试点项目计划，以培养一个充满活力的知识社区，招募 新的项目负责人，并增强所有CQB成员的影响和资金竞争力。和 经验丰富的领导力，高效的行政结构以及对新范式的引人注目的愿景 交织的计算和实验性早期翻译研究，CQB将发展一个临界质量 由外部资助的调查员的成员，因此作为一个独立的，全国认可的中心 达特茅斯的生物医学研究卓越。