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.

摘要：正确的研究设计、数据生成以及对从人群中提取的复杂数据集进行分析 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。 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) 的目标是 1) 支持涉及收集的定量活动。 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； 为 U54 参与者和成员设计、实施和分析人口科学研究 麻省大学波士顿分校和 DF/HCC 各个学术层面的社区 3) 协助进行适当的实验； 对从实验室或临床研究中获得的数据进行设计和统计分析；4) 作为 麻省大学波士顿分校和 DF/HCC 合作伙伴中心的研究人员之间开展新合作的催化剂。 麻省大学波士顿分校和 DF/HCC 的现有中心/核心基础上建立并发挥协同作用。同样，该合作伙伴关系也是如此。 利用新成立的中心提供的基因组学服务创建了基因组学核心 麻省大学波士顿分校的个性化癌症治疗 (CPCT) 使用最先进的仪器和技术。 数据分析方法，旨在为 U54 合作伙伴和研究人员提供可访问的研究 支持平台，促进基于基因组学的高影响力转化癌症研究和基础科学 RDAC 和 GC 共享资源核心共同构成了提供人口的框架。 以及基于基因组学的基础科学研究，以及适当的研究设计、数据采集和数据分析 所有拟议的研究都将利用 SRC 进行广泛的“细胞到社会”研究。 此应用程序中的项目（请参阅试点和完整项目部分），特别是 Schrag/Lindsay 群体。 科学项目将利用 RDAC 为调查开发和必要的监督提供咨询 英语和西班牙语调查措施的预测试、数据库开发、数据输入和数据 Lindsay 博士和 RDAC 将共同为 U54 学员提供重点强化培训。 小组程序，例如创建访谈指南、焦点小组调节和定性分析，以及 定性数据编码也将被 Kulkarni/Zarringhalam/Pandolfi 基础科学所使用。 为同基因 WT 和 DICER 突变体的定量和统计分析提供帮助的项目 HCT116 癌细胞研究和 siRNA 介导的 ceRNA 敲低研究将由 GC 使用。 Siegfried/Sweeney/Van Allen 基础科学项目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 展望未来，SRC 将被合作伙伴孵化器项目大量使用。 完成初步研究，考虑支持未来的 U54 试点或完整项目。