MS Metabolomics GC Core/RAYMER

MS 代谢组学 GC 核心/RAYMER

• 批准号: 8534957
• 负责人: SUSAN J SUMNER
• 金额: $ 24.17万
• 依托单位: RESEARCH TRIANGLE INSTITUTE
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-04 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8534957
• 关键词: Adopted; Biochemistry; Biological; Biological Markers; Botanicals; Budgets; Cells; Chromatography; Client; Code; Collaborations; Collection; Complement; Consult; Coupled; Cytoskeleton; Data; Data Files; Databases; Decision Making; Deposition; Development; Disease; Documentation; Elements; Ensure; Feces; Individual; Instruction; International; Investigation; Kidney; Liquid substance; Liver; Mann-Whitney U Test; Manuscripts; Maps; Mass Fragmentography; Mass Spectrum Analysis; Measures; Metabolic; Metabolic Pathway; Methods; Molecular Weight; Nuclear Magnetic Resonance; Phenotype; Plasma; Procedures; Process; Protocols documentation; Quality Control; Recovery; Reporting; Reproducibility; Research; Resolution; Resources; Sampling; Schedule; Scientist; Shipping; Ships; Spectrum Analysis; Standardization; Statistical Data Interpretation; Structure; Technology; Testing; Text; Time; Tissues; Trace Elements; Training; Urine; Whole Blood; Work; base; biobank; cost; cost effectiveness; data integration; data sharing; instrumentation; interest; ion mobility; meetings; metabolomics; novel; response; sample collection; statistics

Metabolomics is the study of the low-molecular weight metabolites found in cells, tissues, and biological fluids. Chromatography coupled mass spectrometry and NMR are the most widely used methods in both broad-spectrum and targeted metabolomics. RTI scientists have been using GC/MS profiling methods since he 1980s. The Gas Chromatography/Mass Spectrometry (GC/MS) and Inorganics Core (Core) will support the RCMRC as needed to support individual Center projects using standardized approaches. Part of the Core reponsibilities will be to refine aspects of the methods and test them as needed to create the nationwide standards. If requested, we will provide assistance to plan optimal conditions for the collection, shipping, and storage of samples for both ongoing and planned feasibility projects. Samples will be received, processed, and stored, drawing on the resources of the RTI Biorepository for documentation and client transparency of chain of custody. We will conduct broad-spectrum and targeted analysis of endogenous metabolites in various biological matrices (cellular media, botanical samples, whole blood, plasma, serum, urine, feces, kidney, liver, glandular, and other tissues and fluids) using GC/MS, GC/TOF/MS, and 2D GC/TOF/MS. We also bring inorganic analysis capabilities to support metabolomics studies with an array of state-of-the-art atomic spectrometric instrumentation, including ICP/MS and LC/ICP/MS to provide broadspectrum and targeted trace element (Zn, Cu, Fe, Se, Cr, Mn, Mo, Co, V, etc.) profiles in biological matrices. Acquired data will be compiled and processed as defined jointly with the Center Management Team and the Data Repository and Coordinating Center. We will conduct statistical data analysis and metabolite identification. Finally, the Core will work to ensure adequate capacity and incorporate new capabilities as they are developed to meet ongoing client and collaborators needs. This will include working with the other cores to advance scientist training, to create a pipeline for Center sustainability, and to test and integrate into Core capabilities new instrumentation such as ion mobility, multidimensional GC with high resolution MS, and alternative data structures to enable cross-platform data integration.

代谢组学是对细胞、组织和生物体液中发现的低分子量代谢物的研究。色谱联用质谱和核磁共振是广谱和靶向代谢组学中最广泛使用的方法。RTI科学家自20世纪80年代以来一直在使用GC/MS分析方法。气相色谱/质谱（GC/MS）和无机物核心（核心）将根据需要支持RCMRC，以支持使用标准化方法的单个中心项目。核心报告的一部分将是完善方法的各个方面，并根据需要对其进行测试，以创建全国性的标准。如有要求，我们将为正在进行的和计划中的可行性项目提供协助，以规划样本采集、运输和储存的最佳条件。将收到样品， 利用RTI生物储存库的资源进行加工和储存，以实现监管链的文档化和客户透明度。我们将对各种生物基质（细胞培养基、植物样品、全血、血浆、血清、 尿液、粪便、肾脏、肝脏、腺体和其他组织和液体）。我们还提供无机分析能力，通过一系列最先进的原子光谱仪器支持代谢组学研究，包括ICP/MS和LC/ICP/MS，以提供广谱 和目标微量元素（Zn、Cu、Fe、Se、Cr、Mn、Mo、Co、V等）。生物矩阵中的特征。 采集的数据将按照与中心管理团队和数据存储库及协调中心共同定义的方式进行汇编和处理。我们将进行统计数据分析和代谢产物鉴定。最后，核心将努力确保有足够的能力，并在开发新能力时纳入新能力，以满足客户和合作者的持续需求。这将包括与其他 这些核心旨在促进科学家培训，为中心的可持续性创建管道，并测试和整合新的仪器，如离子迁移率，具有高分辨率MS的多维GC和替代数据结构，以实现跨平台数据集成。