Untargeted Analysis Resource
无针对性的分析资源
基本信息
- 批准号:10200814
- 负责人:
- 金额:$ 264.42万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2019
- 资助国家:美国
- 起止时间:2019-09-05 至 2026-05-31
- 项目状态:未结题
- 来源:
- 关键词:AcetaminophenAminesAmino AcidsAromatic Polycyclic HydrocarbonsBig Data MethodsBudgetsCarboxylic AcidsChemicalsChild HealthClientCodeCollaborationsCommunicationConsultConsultationsCoupledDataData AnalysesData AnalyticsDatabasesDetectionDevelopmentEnsureFatty AcidsFoodFundingGas ChromatographyHealthHeroinHumanIngestionLaboratoriesLaboratory ResearchLibrariesLiquid ChromatographyLysophospholipidsMass Spectrum AnalysisMetabolicMetforminMethodsMorphineNorth CarolinaNuclear Magnetic ResonanceNucleosidesOntologyOpioidParabensPerformancePesticidesPharmaceutical PreparationsPhenolsPhenotypePreparationProceduresProcessProtocols documentationQuality ControlReportingReproducibilityResearchResolutionResourcesSamplingScienceServicesSignal TransductionSpeedStatistical Data InterpretationStatistical ModelsSystemTimeLineUnited States National Institutes of HealthUpdateWorkacylcarnitinecost effectivenessdata acquisitiondata repositorydata standardsdata submissiondetection methoddrug of abuseinorganic phosphateinstrumention mobilitylipidomicsmembermetabolic phenotypemetabolomicsmethod developmentmultiple reaction monitoringphthalatespolyphenolprogramsquality assurancesugartime of flight mass spectrometrytobacco productsvolatile organic compoundweb site
项目摘要
ABSTRACT (UNTARGETED ANALYSIS RESOURCE)
As a Children's Health Exposure Analysis Resource (CHEAR) Hub, we have established comprehensive
untargeted methods for detection, annotation, and identification of signals derived from endogenous
compounds, environmentally relevant chemicals, drugs and medications, and ingestion of foods. We use
several systems for Untargeted Analysis, including Liquid Chromatography (LC) coupled to High-Resolution
Orbitrap and Time of Flight (TOF) Mass Spectrometry (MS) systems, and Gas Chromatography (GC) coupled
to TOF MS. Under an Institutional commitment are also installing a GC-Q-Exactive High-Resolution MS system.
We are confident that we can capture tens of thousands of signals, and identify a diverse range of endogenous
compounds (e.g., amino acids, amines, carboxylic acids, sugars, acylcarnitines, nucleosides, fatty acids, and
lysophospholipids), environmentally relevant compounds (e.g., metabolites from alkyl phosphate pesticides,
phthalates, polycyclic aromatic hydrocarbons, volatile organic compounds, perfluoro compounds, metabolites
of tobacco products, environmental phenols, and parabens), metabolites produced by the ingestion of food
(e.g., polyphenols and their metabolites), medications (e.g. acetaminophen, sulfaguanidine, metformin), and
drugs of abuse (e.g., heroin, morphine, opioids, and their metabolites). We also use Lipidomics, UPLC-Ion
Mobility-MS, LC-electrochemical detection (ECD), NMR, and GC- and LC- multiple reaction monitoring methods
to capture signals for analytes that are difficult to detect and identify using untargeted platforms. Using our
methods, we have had outstanding performance in the NIH Common Fund Metabolomics Program Ring Trial,
and in the CHEAR Cross Laboratory Comparison. We will continue to expand the identifications of signals on
the untargeted platforms through using a) Big Data analytics for annotation of signals, followed by confirmation
with standards, b) ensuring that signals are annotated in respect to the metabolic fate of the environmental
compounds, and c) collaborating with the Development Core (DC), and HHEAR program to further develop
broad spectrum methods and panels for analytes not detected using untargeted methods. We use an Ontology
System developed by our laboratory that provides the evidence basis for all signal annotations and metabolite
identifications, ensuring optimal communications of our results to the client, the data analysis center, and data
repositories. Our core uses statistical analysis and modelling approaches to determine metabolites that
distinguish study phenotypes, and to reveal the associations between environmentally relevant chemicals,
endogenous metabotypes, and health phenotypes.
摘要(非针对性分析资源)
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('SUSAN J SUMNER', 18)}}的其他基金
Year 2, Targeted and Clinical Assay Supplement to the NPH MCAC
第 2 年,NPH MCAC 的靶向和临床检测补充
- 批准号:
10867046 - 财政年份:2023
- 资助金额:
$ 264.42万 - 项目类别:
Eastern Regional Comprehensive Metabolomics Resource Core
东部地区综合代谢组学资源核心
- 批准号:
9452800 - 财政年份:2012
- 资助金额:
$ 264.42万 - 项目类别:
RTI's Regional Comprehensive Metabolomics Resource Center
RTI 区域综合代谢组学资源中心
- 批准号:
8894895 - 财政年份:2012
- 资助金额:
$ 264.42万 - 项目类别:
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