Molecular Phenotyping Core

分子表型核心

基本信息

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
项目类别：
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

项目摘要

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/总结 - 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，包括代谢物的结构鉴定和定量，进行功能代谢研究并整合多组学数据集以提供生物学背景。这些包括识别未知的代谢物，开发一系列靶向代谢组学的新方法生物基质，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和不同代谢组学测量的背景开发新的生物信息学工具。除了提供工具基础设施外，核心工作人员将提供咨询和协作以应用代谢组学和数据分析营养和肥胖研究平台。分子表型核心将优化通过向 MNORC 调查人员提供这些服务来提高效率和成本效益集中实验室。在过去的五年里，核心提供了标准化的分析氨基酸、脂质和核酸等小分子代谢物分析技术小鼠、啮齿动物和人体组织、血浆和尿液样本中的酸性代谢物，以及培养的细胞。新产品包括新颖的非靶向代谢组学平台、代谢流分析和数据询问以及生物信息学工具将增强可用的基础设施供 MNORC 调查人员使用。重点还将放在满足调查人员的需求上 MNORC 的成员将从分子分析的力量中获得最大的利益。我们是特别有兴趣解决三个领域的需求：首先，应用独特的敏感性和分子表型技术的特异性扩大了对营养的理解疾病；第二，开发检测和结构创新技术阐明营养相关的生物分子；三、提供数据整合和生物信息工具与代谢组学研究相关；第四，为研究生提供培训对营养研究感兴趣的博士后研究员。通过集中化和标准化程序，核心提供了一套通用的分析工具，这将导致统一的了解生理和病理生理过程中涉及的分子机制潜在的肥胖和其他营养相关疾病。