Shared Resources Management

共享资源管理

• 批准号: 10625760
• 负责人: Steven James Madore
• 金额: $ 4.36万
• 依托单位: UNIVERSITY OF FLORIDA
• 依托单位国家: 美国
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-06-01 至 2027-05-31
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10625760
• 关键词: Abbreviations; Area; Artificial Intelligence; Award; Biometry; Biotechnology; CCL21 gene; Cancer Biology; Cancer Center; Cancer Center Support Grant; Cancer Control; Capital; Clinical; Clinical Cancer Center; Clinical Trials; Clustered Regularly Interspaced Short Palindromic Repeats; Complex; Confocal Microscopy; Cost Savings; Cytometry; Development; Direct Costs; Doctor of Philosophy; Effectiveness; Ensure; Epigenetic Process; Experimental Designs; Faculty; Feedback; Florida; Flow Cytometry; Funding; Future; Genetic Research; Goals; Grant; Health; Hour; Immune response; Immunologist; Immunophenotyping; Immunotherapy; Informatics; Infrastructure; Institution; Institutional Policy; Investments; Laboratories; Last Name; Leadership; Libraries; Malignant Neoplasms; Microscopy; Monitor; Peer Review; Peer Review Grants; Policies; Population Sciences; Postdoctoral Fellow; Procedures; Process; Publications; Quality Control; RNA vaccine; Reagent; Reproducibility; Research; Research Priority; Research Support; Resource Sharing; Resources; Robot; Role; Science; Services; Strategic Planning; Surveys; System; Technology; Testing; Text; Therapeutic; Training; Translational Research; Universities; Update; Wages; anticancer research; cancer genomics; career development; college; cost effective; design; equipment acquisition; experience; federal policy; first-in-human; genomic data; instrument; instrumentation; machine learning method; member; microbiome; new technology; next generation sequencing; novel; power analysis; programs; recruit; research facility; research study; response; screening; service member; transcriptome sequencing; transcriptomics; treatment response; tumor; tumorigenesis; ultra high resolution; vaccine trial

SHARED RESOURCE MANAGEMENT: ABSTRACT The University of Florida Health Cancer Center (UFHCC) members benefit from access to the UFHCC-managed Biostatistics and Quantitative Sciences Shared Resource (BQS-SR) and the institutionally-managed Flow Cytometry and Confocal Microscopy Shared Resource (CYT-SR) and Next Generation Sequencing Shared Resource (NGS-SR). With nearly 25 years of experience in shared resource management, Madore (ZY), UFHCC Associate Director for Shared Resources and UF Interdisciplinary Center for Biotechnology Research Associate Director for Science, manages the shared resources (SR) to drive novel discoveries through member access to cost-effective, leading-edge instrumentation, and quantitative science expertise. The SR Management goals are to: 1) identify and evaluate SR needs of the membership to support existing centralized SRs and develop new SRs; 2) establish standard operating procedures, facilitate regular staff training, and assure quality control processes for rigor and reproducibility of research; 3) leverage existing institutional resources to create and expand services and continuously evaluate new technologies to meet member needs; 4) monitor effectiveness of SRs through membership surveys and advisory oversight groups; 5) establish and maintain policies for optimal SR capacity and maximal access; and 6) centralize fiscal planning and billing management systems in compliance with institutional and federal policies. SR funding comes from an established chargeback system, institutional resources, direct grant support, and strategic partnerships with the UF Office of Research and UF Colleges. A member of the UFHCC Executive Committee, Madore chairs the UFHCC SR Oversight Committee that supervises SR Management in alignment with the UFHCC Strategic Plan. Scientific Advisory Groups for each SR provide faculty-guided feedback and advice. Since 2016, UF institutional commitment for SRs includes salary subsidy for 9 staff members in the institutionally-managed CYT and NGS-SRs and $1.5M in capital equipment investment. Leveraging this continuous support, UFHCC contributed $1.7M for instrumentation acquisitions and enhancements in CYT-SR and NGS-SR. UFHCC recruited 6 new biostatisticians and bioinformaticians in the BQS-SR (~$1.4M investment to date) and supported a PhD immunologist in the CYT-SR to perform flow-based immunophenotyping for a first-in-human therapeutic tumor RNA vaccine trial. Since 2016, the BQS-SR, CYT-SR, and NGS-SR contributed to 574 cancer-focused publications (19% with impact factors ≥10) and supported $117.4M (direct costs, all years) in peer-reviewed grants. Since 2016, 222 UFHCC users accessed BQS-SR, 78 utilized CYT-SR, and 54 utilized NGS-SR. Future plans, in alignment with the UFHCC strategic plan, Momentum 2027, include expanding the SR services portfolio through acquisition of new instrumentation and technology (e.g., spatial transcriptomics, super high- resolution microscopy), supporting BQS-SR in implementing artificial intelligence/machine learning methods, and leading the formation of two UFHCC developing SRs in response to membership needs.

共享资源管理：摘要 佛罗里达大学健康癌症中心（UFHCC）成员受益于UFHCC管理的 生物统计学和定量科学共享资源（BQS-SR）和机构管理的流程 细胞计数和共聚焦显微镜共享资源（CYT-SR）和下一代测序共享 资源（NGS-SR）。凭借近25年的共享资源管理经验，Madore（ZY）， UFHCC副主任共享资源和UF跨学科中心生物技术研究 科学副主任，管理共享资源（SR），通过成员推动新发现 获得具有成本效益的领先仪器和定量科学专业知识。SR管理 目标是：1）确定和评估成员的工作人员代表需求，以支持现有的集中式工作人员代表， 制定新的员工代表; 2）建立标准操作程序，促进定期员工培训，并确保质量 控制研究的严谨性和可重复性; 3）利用现有的机构资源， 并扩大服务和不断评估新技术，以满足会员的需求; 4）监测 通过成员调查和咨询监督小组提高工作人员代表的有效性; 5）建立和维护 最佳SR容量和最大访问的策略;以及6）集中财务规划和计费管理 符合机构和联邦政策的系统。SR资金来自既定的按存储容量使用计费 系统，机构资源，直接赠款支持，并与研究UF办公室的战略伙伴关系 UF学院作为UFHCC执行委员会的成员，Madore主持了UFHCC SR监督 根据UFHCC战略计划监督SR管理的委员会。科学咨询 每个SR的小组提供教师指导的反馈和建议。自2016年以来，UF机构承诺， 工作人员代表包括机构管理的CYT和NGS-SR中9名工作人员的工资补贴，以及150万美元 资本设备投资。利用这一持续的支持，UFHCC贡献了170万美元， CYT-SR和NGS-SR的仪器采购和增强。UFHCC招募了6名新的 生物统计学家和生物信息学家在BQS-SR（约1.4米的投资至今），并支持博士学位 CYT-SR的免疫学家对首次用于人体的治疗性肿瘤进行基于流式细胞术的免疫表型分析 RNA疫苗试验。自2016年以来，BQS-SR，CYT-SR和NGS-SR为574名癌症患者提供了 出版物（19%，影响因子≥10），并支持1.174亿美元（直接成本，所有年份）的同行评审 赠款。自2016年以来，222名UFHCC用户访问了BQS-SR，78名用户使用了CYT-SR，54名用户使用了NGS-SR。 与UFHCC战略计划“动力2027”相一致的计划包括扩展SR服务 通过收购新的仪器和技术（例如，空间转录组学，超高 分辨率显微镜），支持BQS-SR实现人工智能/机器学习方法， 并根据成员的需要，牵头组建了两个UFHCC发展中工作人员代表。