Shared Resource Core

共享资源核心

• 批准号: 10007612
• 负责人: Jill A. Macoska
• 金额: $ 14.88万
• 依托单位: UNIVERSITY OF MASSACHUSETTS BOSTON
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-09-28 至 2021-08-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10007612
• 关键词: Address; Basic Science; Behavioral Research; Bioinformatics; Biomedical Research; Boston; Cancer Center; Cells; Clinical; Clinical Sciences; Code; Collaborations; Collection; Communities; Complex; Consultations; Dana-Farber Cancer Institute; Data; Data Analyses; Data Set; Databases; Development; Educational workshop; Experimental Designs; Faculty; Focus Groups; Fostering; Future; Generations; Genomics; HCT116 Cells; Incubators; Infrastructure; Infrastructure Activities; Interview; Laboratories; Language; Malignant Epithelial Cell; Massachusetts; Measures; Mediating; Methodology; Mission; Molecular; Participant; Point Mutation; Population; Population Analysis; Population Sciences; Postdoctoral Fellow; Procedures; Quantitative Reverse Transcriptase PCR; Research; Research Activity; Research Design; Research Methodology; Research Personnel; Research Project Grants; Research Support; Resource Sharing; SNP genotyping; Series; Service provision; Services; Site; Small Interfering RNA; Societies; Statistical Data Interpretation; Statistical Methods; Surveys; System; Technology; Training; Training Activity; Universities; Work; anticancer research; base; cancer health disparity; catalyst; data acquisition; design; exome; individual patient; industry partner; insertion/deletion mutation; instrumentation; knock-down; member; mutant; nano-string; next generation sequencing; personalized cancer therapy; social; sound; student training; success; translational cancer research; translational impact

Summary: Proper study design, data generation, and analysis of complex datasets drawn from population- and molecular-level studies are crucial for the advancement of population and basic science research. To facilitate this, the Partnership proposes to provide the necessary infrastructure for these activities through the Research Design and Analysis Core (RDAC) and the Genomics Core (GC), collectively described as the Shared Resource Core (SRC). The RDAC aims to 1) support quantitative activities involving collection of original data at different levels – from individuals/patients to organizations and communities; 2) provide training in the design, implementation and analysis of population science research to U54 participants and members of the UMass Boston and DF/HCC communities at all academic levels; 3) assist with appropriate experimental design and statistical analysis of data acquired from laboratory- or clinically-based studies; and 4) serve as a catalyst for new collaborations between investigators at UMass Boston and DF/HCC partner sites. The RDAC builds upon and synergizes existing Centers/Cores at UMass Boston and DF/HCC. Similarly, the Partnership has created the Genomics Core by leveraging genomics services offered by the newly created Center for Personalized Cancer Therapy (CPCT) at UMass Boston. The GC uses state-of-the-art instrumentation and data analysis methodologies and aims to provide U54 partners and investigators with accessible research support platforms to facilitate high-impact genomics-based translational cancer research and basic science research. Together, the RDAC and GC Shared Resource Core constitutes the framework to provide population and genomics-based basic science studies with proper study design, data acquisition, and data analysis across a broad spectrum of 'Cells to Society' research. The SRC will be utilized by all proposed research projects in this application (see Pilot and Full Project sections). Specifically, the Schrag/Lindsay population science project will utilize the RDAC to provide consultation in survey development and oversight of necessary pretesting of English and Spanish-language survey measures, database development, data entry and data analysis. Dr. Lindsay and the RDAC will work together to provide U54 trainees with intensive training in focus group procedures, e.g., creation of an interview guide, focus group moderation and qualitative analysis, and qualitative data coding. The RDAC will also be utilized by the Kulkarni/Zarringhalam/Pandolfi basic science project to provide assistance with quantitation and statistical analysis of the isogenic WT and DICER mutant HCT116 carcinoma cell studies and siRNA-mediated ceRNA knock-down studies. The GC will be utilized by the Siegfried/Sweeney/Van Allen basic science project to generate sequencing data and provide bioinformatics analysis of sequencing data to call somatic point mutations, short insertion/deletions, and copy number changes from the exomes. Going forward, the SRC will be heavily used by Partnership incubator projects to complete preliminary studies towards consideration of support as future U54 Pilot or Full Projects.

总结：适当的研究设计、数据生成和对来自人群的复杂数据集的分析- 而分子水平的研究对于人口和基础科学研究的进步至关重要。到 为了促进这一点，伙伴关系建议通过以下方式为这些活动提供必要的基础设施： 研究设计和分析核心（RDAC）和基因组学核心（GC），统称为 共享资源核心（SRC）。RDAC的目标是：1）支持涉及收集 不同层面的原始数据-从个人/患者到组织和社区; 2）提供培训 在人口科学研究的设计、实施和分析方面向U 54参与者和 麻省大学波士顿分校和DF/HCC社区在所有学术水平; 3）协助适当的实验 从实验室或临床研究中获得的数据的设计和统计分析;以及4）作为 促进马萨诸塞大学波士顿分校和DF/HCC合作伙伴研究中心的研究人员之间的新合作。RDAC 建立在麻省大学波士顿分校和DF/HCC现有中心/核心的基础上，并发挥协同作用。同样，伙伴关系 通过利用新成立的中心提供的基因组学服务， 个性化癌症治疗（CPCT）在麻省大学波士顿分校。GC使用最先进的仪器， 数据分析方法，旨在为U 54合作伙伴和研究人员提供可访问的研究 支持平台，以促进基于基因组学的高影响力转化癌症研究和基础科学 research. RDAC和GC共享资源核心共同构成了提供人口的框架， 和基于基因组学的基础科学研究，并进行适当的研究设计、数据采集和数据分析 在广泛的“细胞到社会”研究中。SRC将用于所有拟议的研究 项目（请参阅试点和完整项目部分）。具体来说，施拉格和林赛的人口 科学项目将利用RDAC提供调查开发方面的咨询，并监督必要的 英文和西班牙文调查措施的预测试、数据库开发、数据输入和数据 分析.林赛博士和RDAC将共同努力，为U 54学员提供集中的强化培训 分组过程，例如，制定访谈指南、焦点小组协调和定性分析，以及 定性数据编码Kulkarni/Zarringhalam/Pandolfi基础科学也将使用RDAC 项目提供定量和统计分析的同基因WT和DICER突变体的援助 HCT 116癌细胞研究和siRNA介导的ceRNA敲低研究。GC将由以下人员使用 齐格弗里德/斯威尼/货车艾伦基础科学项目，以生成测序数据并提供生物信息学 分析测序数据以调用体细胞点突变、短插入/缺失和拷贝数 exomes的变化。展望未来，SRC将被伙伴关系孵化器项目大量使用， 完成初步研究，以考虑作为未来的U 54试点项目或全面项目提供支持。