Metabolomics Shared Resource
代谢组学共享资源
基本信息
- 批准号:10674555
- 负责人:
- 金额:$ 9.31万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-07-01 至 2025-06-30
- 项目状态:未结题
- 来源:
- 关键词:BiologicalBiological MarkersBiological ModelsCancer BiologyCancer CenterCancer Center Support GrantCancer ModelCancer Research ProjectCarbonCell LineCellsCitric Acid CycleClinicalColumn ChromatographyCommunicationComprehensive Cancer CenterComputing MethodologiesConsultationsDataData AnalysesData AnalyticsDatabasesDedicationsDevelopmentDiseaseEarly DiagnosisEmerging TechnologiesExperimental DesignsExperimental ModelsFolic AcidGenerationsGeneticGlucoseGlutaminaseGlutamineGlycolysisGoalsGrantIn VitroInfrastructureJournalsLabelLipidsLiquid ChromatographyLiquid substanceMalignant NeoplasmsMass Spectrum AnalysisMeasurementMeasuresMedicineMetabolicMetabolic MarkerMetabolic PathwayMetabolismMethionineMethodsMissionMolecularMonitorMultiomic DataMusNCI Center for Cancer ResearchNaturePathologicPathway interactionsPentosephosphate PathwayPhysiologicalPlayPositioning AttributePrognosisProteinsPublicationsPublishingReactionReportingResearchResearch PersonnelResource SharingRoleSamplingScienceServicesShotgunsSpecimenStable Isotope LabelingStandardizationSystemTechnologyTherapeuticTimeTissuesTranslatingTryptophanTumor-DerivedWorkanticancer researchbiomarker panelcancer cellcandidate identificationclinical investigationclinical translationcollegeexperiencefatty acid biosynthesisin vivoin vivo Modelinnovative technologiesinsightinstrumentinstrumentationinterestlipidomicsliquid chromatography mass spectrometrymass spectrometermembermetabolic profilemetabolomemetabolomicsmetabolomics resourcenucleotide metabolismnutritionoperationoxidationprogramssmall moleculetechnology platformtriple-negative invasive breast carcinomatumortumor progression
项目摘要
PROJECT SUMMARY: Metabolomics Shared Resource (MSR)
The Metabolomics Shared Resource (MSR) is evolving to fulfill the research needs and mission of the Dan L
Duncan Comprehensive Cancer Center (DLDCCC). This Shared Resource (SR) provides advanced mass
spectrometry approaches and technologies, scientific consultation, and expert data analytics as is required for
high quality global and targeted metabolomics studies. The MSR specializes in discovery, identification,
characterization, and quantification of biomolecules, as well as metabolic flux analysis, from a variety of
biological specimens including tissues, cell lines, and fluids. The main infrastructure of the MSR consists of 5
high-end mass spectrometry systems and upfront liquid chromatography columns that are most suitable for
covering the range of metabolomic analyses developed as services including an Agilent 6490 Triple Quad
Mass Spectrometer, 2 Agilent 6495 Triple Quad Mass Spectrometers, an Agilent 6550 Time of Flight Mass
Spectrometer, and a SCIEX Triple TOF mass spectrometer with Schimadzu Nexera UHPLC-System with data-
independent acquisition for lipidomics. The MSR has a dedicated team of experts in mass spectrometry with
extensive experience in metabolomic profiling and biological expertise in cellular metabolism and data
analysis. Metabolomics became a Shared Resource of the Cancer Center for the first time at the last
competing renewal of the CCSG in 2015. Since then, the MSR has supported a broad range of DLDCCC
members across 6 of the 7 Programs and a total of 57 publications, many representing major projects in high-
impact journals including Nature, Journal of Clinical Investigations, Nature Communications, PLoS Genetics,
Nature Metabolism, Cell Reports, Cancer Cell, Cancer Research, and Clinical Cancer Research. This is a
dynamic SR facility that has kept pace with rapidly emerging technologies and instrumentation and has been a
leader in the field by developing and publishing innovative technologies. The MSR has developed state-of-the-
art technologies as core support services that includes the following: (1) Steady-state targeted metabolomics
with a capacity for quantification of up to 700 known metabolites; (2) Untargeted metabolomics for identification
of up to 1200 metabolites; (3) Lipidomics for up to 800 molecules and; (4) Metabolic flux analysis to monitor
changes in activities of major metabolic pathways in experimental model systems. The MSR, as proposed in
this application, can bridge the gap in our understanding of molecular pathways involved in cancer biology and
enable a wide range of DLDCCC research groups to explore the role of metabolism in cancer utilizing cutting-
edge technologies with quality, efficiency, and accuracy which would not be possible otherwise.
代谢组学共享资源(Metabolomics Shared Resource,MSR)
代谢组学共享资源(MSR)正在不断发展,以满足研究需求和Dan L.的使命
邓肯综合癌症中心。此共享资源(SR)提供高级质量
光谱方法和技术,科学咨询和专家数据分析,
高质量的全球和针对性代谢组学研究。MSR专门从事发现,鉴定,
生物分子的表征和定量,以及代谢通量分析,从各种
生物样本,包括组织、细胞系和体液。MSR的主要基础设施包括5个
高端质谱系统和前置液相色谱柱,最适合
涵盖作为服务开发的代谢组学分析范围,包括Agilent 6490 Triple Quad
质谱仪,2台Agilent 6495 Triple Quad质谱仪,1台Agilent 6550飞行时间质谱仪
质谱仪和SCIEX三重TOF质谱仪,配有Schimadzu Nexera UHPLC系统,
独立收购脂质组学。MSR拥有一支专门的质谱专家团队,
在细胞代谢和数据方面的代谢组学分析和生物学专业知识方面的丰富经验
分析.代谢组学去年首次成为癌症中心的共享资源
2015年CCSG的竞争性更新。从那时起,MSR支持了广泛的DLDCCC
7个项目中的6个项目的成员,共57份出版物,其中许多代表了高水平的重大项目,
有影响力的期刊,包括Nature、Journal of Clinical Investigations、Nature Communications、PLoS Genetics、
Nature Metabolism,Cell Reports,Cancer Cell,Cancer Research,and Clinical Cancer Research.这是一
动态SR设施跟上了快速新兴技术和仪器的步伐,并已成为
通过开发和发布创新技术,成为该领域的领导者。MSR已经开发了国家的-
艺术技术作为核心支持服务,包括以下内容:(1)稳态靶向代谢组学
具有对多达700种已知代谢物进行定量的能力;(2)用于鉴定的非靶向代谢组学
多达1200种代谢物;(3)多达800种分子的脂质组学;(4)代谢通量分析,以监测
实验模型系统中主要代谢途径活性的变化。建议的MSR
这一应用可以弥合我们对癌症生物学中涉及的分子途径的理解的差距,
使广泛的DLDCCC研究小组能够利用切割来探索代谢在癌症中的作用-
边缘技术的质量,效率和准确性,这将是不可能的。
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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Nagireddy Putluri其他文献
Nagireddy Putluri的其他文献
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{{ truncateString('Nagireddy Putluri', 18)}}的其他基金
Racial and social contextual factors in relation to epigenome and bladder cancer outcome.
与表观基因组和膀胱癌结果相关的种族和社会背景因素。
- 批准号:
10762268 - 财政年份:2023
- 资助金额:
$ 9.31万 - 项目类别:
Racial Disparity in Bladder Cancer and Identification of Altered Metabolism in African American Compare to European Bladder Cancer
与欧洲膀胱癌相比,非裔美国人膀胱癌的种族差异以及代谢改变的鉴定
- 批准号:
9388440 - 财政年份:2017
- 资助金额:
$ 9.31万 - 项目类别:
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