Enabling single molecule spatial transcriptomics with the Vizgen MERSCOPE in situ hybridization solution at Dartmouth and beyond

在达特茅斯及其他地区使用 Vizgen MERSCOPE 原位杂交解决方案实现单分子空间转录组学

• 批准号: 10581931
• 负责人: MICHAEL L WHITFIELD
• 金额: $ 25万
• 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/10581931
• 关键词: Advisory Committees; Antibiotic Resistance; Area; Arts; Autoimmunity; Big Data; Bioinformatics; Biological Process; Biological Sciences; Biology; Biometry; Biopsy; 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; In Situ Hybridization; 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; 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; high throughput technology; human disease; improved; insight; interdisciplinary approach; medical schools; member; metabolomics; multidisciplinary; new technology; next generation; novel; programs; recruit; senior faculty; single molecule; solution hybridization; success; tenure track; transcriptomics; 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.

数量生物学中心：关注“组学”，从生物体到单细胞 项目总结 高通量基因组、蛋白质组、新陈代谢和免疫图谱技术现在提供了丰富的 可以挖掘的数据来询问基本的生物过程，细胞或生物种群的变化， 以及疾病的分子基础，从整个有机体到单个细胞的水平。The Rapid 用于测量生物系统的高通量技术的进步已经产生了显著的 达特茅斯学院对支持单细胞组学的平台的需求，但也支持多学科和 计算生物学的跨学科方法。这个科布雷项目的目标是建立一个中心 数量生物学(CQB)，这将支持和加强NIH资助的定量生物学研究，地址为 达特茅斯，并促进其与湿法，实验生物学的整合。CQB将利用教职员工 文理学院、塞耶工程学院和达特茅斯的盖泽尔医学院。这个 CQB的成功将促进所有级别的数据整合，从而使整个达特茅斯社区受益。这个 中心将为不同的科学家招募并提供一个有凝聚力的社区，这些科学家可能会在部门中有家 横跨盖泽尔艺术与科学学院和塞耶学院，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。通过其对下一代数据的重视，以及对基于湿式工作台的“大数据”的分析 组学，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协同 达特茅斯的倡议。这一目标是通过以下三个具体目标实现的：目标1： 维护CQB，它将专注于开发、支持和增强计算生物学和 单细胞动力学，得到国内和国际的认可，并促进高生产率的合作 在实验生物学家和定量研究人员中。Cobre-CQB将提供一个关键环境 用于数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 美国国立卫生研究院资助的达特茅斯定量生物学家研究的广度和影响：(1)继续招募 有才华的数量生物学教师；(2)进一步指导初级数量生物学家；以及(3)提供系统 将单细胞动力学转化为人类疾病的应用。计划中的每个项目都将重点放在 计算生物学和基因组研究的不同方面，共同的目标是确定 影响人类常见疾病，如癌症。目标3：促进两国之间的协同合作 定量生物学家和实验生物学家通过五个相关的研究项目，一个单细胞基因组学 核心和数据分析核心。这五个项目将得到一个行政核心的支持(这将提供 对赠款的监督和管理)。达特茅斯还做出了重大的机构承诺，以 CQB的成功和长期可持续性，包括承诺雇用五个新的终身教职轨道 校园里的教职员工。达特茅斯还将提供机构项目丰富基金，以支持研究 基础设施、科学交流和试点项目计划，以培养充满活力的知识界，招聘 新的项目负责人，并提高CQB所有成员的影响力和资金竞争力。使用 经验丰富的领导力、高效的管理结构，以及令人信服的新范式愿景 将计算和实验早期翻译研究交织在一起，CQB将发展出临界质量 并因此作为一个独立的、国家认可的 达特茅斯大学生物医学研究杰出奖。