Molecular Phenotyping Core

分子表型核心

• 批准号: 10656208
• 负责人: Subramaniam Pennathur
• 金额: $ 12.13万
• 依托单位: UNIVERSITY OF MICHIGAN AT ANN ARBOR
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-07-01 至 2025-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10656208
• 关键词: Acyl Coenzyme A; Address; Adipocytes; Amino Acids; Animals; Area; Basic Science; Bioinformatics; Biological; Biological Assay; Carnitine; Cells; Ceramides; Chromatography; Clinical; Clinical Research; Collaborations; Complement; Complex; Consultations; Consumption; Cost Measures; Coupled; Cultured Cells; Data; Data Analyses; Data Analytics; Data Set; Development; Disease; Electrospray Ionization; Equipment; Exercise; Fatty Acids; Funding; Gas Chromatography; Gene Expression; Genus Hippocampus; Glycolysis; High Pressure Liquid Chromatography; Human Resources; In Vitro; Infrastructure; Label; Laboratories; Libraries; Lipids; Liquid Chromatography; Measurement; Measures; Metabolic; Metabolism; Methods; Michigan; Mitochondria; Modeling; Molecular; Molecular Analysis; Multiomic Data; Mus; Network-based; Nucleic Acids; Nutrition Disorders; Nutritional Study; Obesity; Phenotype; Phospholipids; Physiological; Plasma; Postdoctoral Fellow; Procedures; Process; Production; Protocols documentation; Protons; Research; Research Personnel; Respiration; Rodent; Sampling; Sensitivity and Specificity; Services; Shotguns; Standardization; Surveys; System; Techniques; Technology; Testing; Time; Tissues; Training; Trans Fatty Acids; Translational Research; Urine; Visualization; Weight maintenance regimen; analytical tool; bioinformatics tool; biological systems; biomarker identification; cost effectiveness; data integration; data pipeline; detection method; graduate student; high throughput screening; human subject; human tissue; in vivo; innovation; insight; instrument; interest; large datasets; lipidomics; metabolic abnormality assessment; metabolomics; molecular phenotype; novel; nutrition; obesity in children; pre-clinical; programs; response; skills; small molecule; stable isotope; stem; temporal measurement

Abstract/Summary - MPC The Molecular Phenotyping Core will provide analytical tools to the MNORC investigators to elucidate molecular mechanisms of disease relevant to obesity and nutritional disorders including structural identification and quantification of metabolites, perform functional metabolic studies and integrate multi-omic datasets to provide biological context. These include identifying unknown metabolites, developing new methods for targeted metabolomics in a range of biological matrices, validating new biological response indicators and providing biological context to diverse metabolomic measurements by providing bioinformatics analysis and developing new bioinformatics tools. In addition to providing instrumental infrastructure, the Core staff will provide consultation and collaboration to apply metabolomics and data analytical platforms in nutrition and obesity research. The Molecular Phenotyping Core will optimize the efficiency and cost-effectiveness by providing these services to MNORC investigators through a centralized laboratory. In the past five years the core has provided standardized analytical techniques for the analysis of small molecule metabolites such as amino acid, lipid and nucleic acid metabolites in samples from murine, rodent and human tissues, plasma, and urine, and cultured cells. New offerings have included novel untargeted metabolomics platforms, metabolic flux analysis and data interrogation and bioinformatics tools which will enhance the infrastructure available for the MNORC investigators. Emphasis will also be placed on fulfilling the needs of Investigators of the MNORC who will gain maximum benefit from the power of molecular analysis. We are particularly interested in addressing three areas of need: first, applying the unique sensitivity and specificity of molecular Phenotyping techniques to broaden understanding of nutritional disorders ; second, the development of innovative techniques for the detection and structural elucidation of nutrition-related biomolecules; third, provide data integration and bioinformatic tools relevant to metabolomics studies; and fourt, providing training for graduate students and postdoctoral fellows with an interest in nutrition research. By centralizing and standardizing procedures, the Core provides a common set of analytical tools that will lead to a unified understanding of molecular mechanisms involved in physiologic and pathophysiologic processes underlying obesity and other nutrition related disorders.

摘要/摘要- MPC 分子表型核心将为MNORC研究人员提供分析工具， 阐明与肥胖和营养失调相关的疾病的分子机制，包括 代谢物结构鉴定和定量，进行功能代谢研究 并整合多组学数据集以提供生物背景。其中包括识别 未知的代谢物，开发新的靶向代谢组学方法， 生物基质，验证新的生物反应指标，并提供生物 通过提供生物信息学分析， 开发新的生物信息学工具。除了提供工具性基础设施外， 工作人员将提供咨询和合作，以应用代谢组学和数据分析 营养和肥胖研究的平台。分子表型核心将优化 通过向MNORC调查人员提供这些服务，提高效率和成本效益， 中心实验室。在过去五年中，核心小组提供了标准化的分析报告， 氨基酸、脂质、核酸等小分子代谢物的分析技术 鼠、啮齿动物和人体组织、血浆和尿液样品中的酸性代谢物，以及 培养细胞新产品包括新型非靶向代谢组学平台、代谢通量 分析和数据查询以及生物信息学工具，这将加强现有的基础设施 对MNORC调查人员来说。还将强调满足研究者的需求 他们将从分子分析的力量中获得最大的利益。我们 特别感兴趣的是解决三个方面的需要：第一，运用独特的敏感性， 分子表型技术的特异性，以扩大对营养的理解 疾病;第二，发展创新的检测和结构技术， 阐明与营养相关的生物分子;第三，提供数据集成和生物信息学工具 与代谢组学研究有关;第四，为研究生提供培训， 对营养学研究感兴趣的博士后研究员。通过集中和标准化 程序，核心提供了一套通用的分析工具，将导致统一的 了解参与生理和病理生理过程的分子机制 潜在的肥胖和其他营养相关疾病。