Untargeted Analysis Resource

无针对性的分析资源

• 批准号: 10675530
• 负责人: Manish Arora
• 金额: $ 122.73万
• 依托单位: ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
• 依托单位国家: 美国
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-11 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10675530
• 关键词: Age; Automatic Data Processing; Behavior; Biological; Biological Assay; Biological Markers; Cellular Structures; Chemicals; Child; Client; Collaborations; Communication; Complex; Computer software; Computing Methodologies; Consultations; Counseling; Data; Data Analyses; Data Reporting; Data Set; Database Management Systems; Development; Developmental Biology; Diet; Dietary Component; Disease; Elements; Ensure; Environment; Environmental Exposure; Environmental Health; Environmental Pollutants; Environmental Risk Factor; Exposure to; Funding; Generations; Genetic; Genome Scan; Grant; Health; Hormones; Human; Industrialization; Information Management; Institution; Ions; Journals; Knowledge; Label; Laboratories; Learning; Libraries; Life; Life Cycle Stages; Longevity; Maps; Mass Spectrum Analysis; Measures; Metabolic Pathway; Metadata; Methodology; Methods; Molecular; Molecular Profiling; Molecular Target; Monitor; Nature; Occupations; Ontology; Pathogenicity; Pharmaceutical Preparations; Phenotype; Physiology; Preparation; Procedures; Process; Productivity; Proteomics; Protocols documentation; Publications; Quality Control; Reporting; Research; Research Design; Research Personnel; Resources; Sampling; Sampling Studies; Scanning; Science; Services; Shapes; Specimen; Systems Biology; Testing; Time; United States National Institutes of Health; Urine; Work; analytical method; cost effectiveness; data centers; data quality; design; environmental chemical; experience; high standard; high throughput technology; human error; instrument; laboratory equipment; lipidomics; meetings; metabolomics; microbial; microbiome; microorganism; multidimensional data; multidisciplinary; novel; outreach; prenatal environmental exposure; prevent; programs; quality assurance; response; screening; social stressor; symposium; toxic metal; ultra high resolution; virome; wasting

SUMMARY UNTARGETED RESOURCE The Untargeted Analysis Resource is a multi-disciplinary exposomic program designed to integrate environmental measures and biological response into existing NIH studies. We hold weekly Steering Committee meetings of the full Lab Hub team to discuss jobs, troubleshoot workflows, and prioritize resources and activities in order to provide state-of-the-art service to HHEAR clients. Our team has considerable expertise in matching the underlying systems biology of untargeted exposure biomarkers to the study design and health phenotypes, with a range the biological specimen types that would be typically available in health studies. We also factor in subject age, occupation and the likely exposure scenarios. Our lab feasibility assessments help shape the science of a client's submission towards higher impact studies. We also counsel clients on preventing the wasting of precious samples on assays they may request, but which are deemed likely to be of limited values based on our many years of research experience and understanding of exposure scenarios. We work with the Administrative Core to coordinate services, including sample management, receiving, labeling and tracking. We serve as expert consultants with the Coordinating Center, PI/Clients and other HHEAR Resources. We collaborate with the Data Center in the management of results reporting, ensuring that data are properly formatted and have sufficient metadata, as well as participate in the analysis of exposure/phenotype relationships. We use automated sample handling and preparation methods and high throughput analytical procedures and rigorous inter-laboratory QA/QC procedures which include real time analysis monitoring and database management through state-of-the-art laboratory information management software, as well as automated data processing to reduce human error. Our methods ensure proper sample tracking and data reporting and avoid mismatches of samples to results. With substantial institutional resources at its disposal, the Untargeted Resource has doubled the number of mass spectrometry instruments to 14 in the last 3 years, ensuring our capacity to serve the needs of the HHEAR Network. Our team also conducts extensive outreach and was the only CHEAR lab hub to organize a National Exposome Symposium (held Nov 2-3, 2018 at Mount Sinai and themed on Exposomics) as described in the Administrative Core. QA/QC protocols and standard operating procedures for all target compounds have been established to maintain the quality of the chemical analysis. We participated in all CHEAR mandated QA/QC and PT programs including the round-robin analysis of a pooled urine sample between all Untargeted CHEAR Labs, and will do so for HHEAR. Overall, we process and analyze samples with a high degree of efficiency and accuracy, provide expert scientific consultation and integrate our work with the other Hub components while maintaining the highest standards of productivity and cost-effectiveness.

非目标资源汇总 非目标分析资源是一个多学科的经济计划，旨在整合 环境措施和生物反应纳入现有的NIH研究。我们每周举行一次指导会议 整个Lab Hub团队的委员会会议，讨论工作、排除工作流故障并确定资源优先级 和活动，以便为HHEAR客户提供最先进的服务。我们的团队有相当多的 将非靶向暴露生物标志物的基础系统生物学与研究设计相匹配的专业知识 和健康表型，具有一系列通常在健康中可用的生物标本类型， 问题研究我们还考虑了受试者的年龄、职业和可能的暴露场景。我们的实验室可行性 评估有助于塑造科学的客户提交对更高的影响研究。我们也建议 客户防止在他们可能要求的分析中浪费宝贵的样品，但这些分析被认为是 根据我们多年的研究经验和对暴露的理解， 场景我们与行政核心合作协调服务，包括样品管理， 接收、标记和跟踪。我们作为协调中心、PI/客户的专家顾问， 其他HHEAR资源我们与数据中心合作管理结果报告， 确保数据格式正确，并有足够的元数据，以及参与分析 暴露/表型关系。我们使用自动化的样品处理和制备方法， 通量分析程序和严格的实验室间QA/QC程序，包括真实的时间 通过最先进的实验室信息管理进行分析监测和数据库管理 软件，以及自动化数据处理，以减少人为错误。我们的方法确保适当的样品 跟踪和数据报告，并避免样本与结果不匹配。与大量的机构 无目标资源使质谱仪器的数量翻了一番 在过去的3年里，我们的员工人数增加到了14人，确保我们有能力满足HHEAR网络的需求。我们的团队还 开展广泛的推广活动，是唯一一个组织国家Exposome研讨会的CHEMICAL实验室中心 (held 2018年11月2日至3日在西奈山举行，主题为Exposomics），如管理核心所述。 已建立所有目标化合物的QA/QC方案和标准操作规程， 保持化学分析的质量。我们参加了所有CHEMICAL授权的QA/QC和PT 程序包括所有非靶向CHEMICAL实验室之间合并尿液样本的循环分析， 也会为他做的总的来说，我们以高度的效率处理和分析样品， 准确性，提供专家科学咨询，并将我们的工作与其他中心组件相结合， 保持最高标准的生产力和成本效益。