Shared Resource Core

共享资源核心

• 批准号: 9768376
• 负责人: WENDY Beth LONDON
• 金额: $ 20.4万
• 依托单位: DANA-FARBER CANCER INST
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/9768376
• 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.

摘要：适当的研究设计，数据生成和分析来自人群的复杂数据集 - 分子水平的研究对于人群和基础科学研究的发展至关重要。到 促进这一点，合作伙伴关系提案，要求通过 研究设计与分析核心（RDAC）和基因组学核心（GC）统称为 共享资源核心（SRC）。 RDAC的目的是1）支持定量活动涉及收集 从个人/患者到组织和社区的原始数据不同； 2）提供培训 在对U54参与者和人群科学研究的设计，实施和分析中 在所有学术层面上，波士顿和DF/HCC社区； 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； 4）用作 UMass Boston与DF/HCC合作伙伴网站的调查人员之间的新合作催化剂。 RDAC 建立在波士顿UMass和DF/HCC的现有中心/核心的基础上。同样，合作伙伴关系 通过利用新创建的中心提供的基因组服务来创建基因组学核心 波士顿UMass的个性化癌症治疗（CPCT）。 GC使用最先进的仪器和 数据分析方法并旨在为U54合作伙伴和研究人员提供无障碍研究 支持基于高影响基因组学的转化癌和基础科学的支持平台 研究。 RDAC和GC共享资源核心共同构成了人口的框架 以及基于基因组学的基础科学研究，具有适当的研究设计，数据获取和数据分析 跨越广泛的“社会牢房”研究。所有拟议的研究都将使用SRC 此应用程序中的项目（请参阅试点和完整的项目部分）。具体而言，Schrag/Lindsay人口 科学项目将利用RDAC在调查开发方面提供咨询和对必要的监督 对英语和西班牙语调查措施的测试，数据库开发，数据输入和数据 分析。 Lindsay博士和RDAC博士将共同努力，为U54学员提供重点培训 小组程序，例如，创建访谈指南，焦点小组审核和定性分析以及 定性数据编码。 RDAC也将由Kulkarni/Zarringhalam/Pandolfi基础科学使用 项目旨在提供量化WT和DICER突变体的定量和统计分析的帮助 HCT116癌细胞研究和siRNA介导的CERNA敲低研究。 GC将由 Siegfried/Sweeney/Van Allen基础科学项目，以生成测序数据并提供生物信息学 测序数据分析以调用躯体点突变，短插入/删除和副本编号 外观的变化。展望未来，合作伙伴孵化器项目将大量使用SRC 完整的初步研究以考虑支持为未来的U54飞行员或完整项目。