Epigenomic regulation of metabolism in muscle by circadian clock and environment
生物钟和环境对肌肉代谢的表观基因组调节
基本信息
- 批准号:8710213
- 负责人:
- 金额:$ 0.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-08-01 至 2014-08-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAffectAmino AcidsAnimal ModelAnimalsBackBindingBiochemistryBioinformaticsBranched-Chain Amino AcidsBurn injuryCarbohydratesCatabolismChromatinCircadian RhythmsCitric Acid CycleClinicalClinical TreatmentClinical TrialsCollaborationsCore FacilityCoupledDarknessDataData SetDevelopmentDiabetes MellitusDietDietary FactorsDiseaseEconomic BurdenEnergy MetabolismEnvironmentEuglycemic ClampingExerciseFatty acid glycerol estersFunding OpportunitiesFutureGene ExpressionGene Expression AlterationGene Expression ProfileGene TargetingGenesGeneticGenetic TranscriptionGenomeGlucoseGlucose ClampGlucose IntoleranceGlycogenGlycolysisGoalsHealthHepaticHistone Deacetylase InhibitorHistonesHomeostasisInflammatoryInsulin ResistanceIsotopesKetone BodiesKetonesKnockout MiceKnowledgeLaboratoriesLeadLightLipidsLiverMalignant NeoplasmsMediatingMentorsMetabolicMetabolismMethodsMitochondriaModelingModificationMolecularMonitorMusMuscleMuscle CellsNon-Insulin-Dependent Diabetes MellitusNuclear ReceptorsObesityOutputOxygen ConsumptionPennsylvaniaPerformancePhasePhysiologyPlayPurine NucleotidesRecruitment ActivityRegulationResearchRoleRunningSignal TransductionSkeletal MuscleSocietiesSourceTestingThermogenesisTimeTissuesUniversitiescarbohydrate metabolismcareercircadian pacemakerdata miningepigenomeepigenomicsfeedingflexibilitygene environment interactiongenome-wideglucose toleranceglucose uptakehistone deacetylase 3improvedinsulin sensitivitylipid metabolismmetabolomicsmitochondrial dysfunctionmouse modelnovelpandemic diseasepreferencepublic health relevanceresearch studyrespiratoryresponsesmall molecule
项目摘要
DESCRIPTION (provided by candidate): The current research is to study how epigenomic modifier histone deacetylase 3 (HDAC3) regulates carbohydrates metabolism and insulin sensitivity in skeletal muscle in response to either the internal circadian clock or the external dietary factor. I have developed a novel mouse model with HDAC3 specifically depleted in skeletal muscle, and have found that the mice display disrupted metabolic circadian gene expression and exacerbated glucose intolerance that is induced by high fat diet (HFD). During the mentored phase, I will gain new expertise in genome-wide epigenomic approaches that are well established in my mentor's laboratory. I will also gain additional knowledge in muscle physiology, metabolic flux analysis, and metabolomics methods through collaboration with other laboratories and core facilities at University of Pennsylvania. The research that I propose to continue in the independent phase is to study HDAC3 in exercise endurance, fuel selection and efficiency, as well as lipid and amino acid metabolism in skeletal muscle. We have found that mice without muscular HDAC3 have surprisingly improved exercise endurance associated with a switch in fuel preference from carbohydrates towards lipid. I will characterize mitochondrial function and trace metabolic fluxes through lipid, ketone bodies, and amino acids catabolism, including the anaplerotic purine nucleotide cycle, in exercising animals as well as in isolated primary myocytes, where knockdown experiments will test the requirement of specific HDAC3 target genes for the observed fuel selection and enhanced fuel efficiency. My future career goal after independence is to decipher the epigenomic mechanism that underlies hormetic response to physical exercise in skeletal muscle. Exercise is beneficial to many aspects of health, especially in the context of obesity and diabetes. My general hypothesis is that epigenomic mechanisms underlie exercise- induced beneficial metabolic remodeling. I will comprehensively characterize exercise-induced changes in skeletal muscle transcriptome and epigenome using genome-wide methods and metabolomics approaches. This is the first endeavor ever, as far as I know, to analyze exercise-induced epigenomic changes in a genome-wide scale. This unbiased method will produce comprehensive datasets, from which data mining and motif analysis will generate new hypotheses regarding novel transcription networks that respond to exercise. Biochemistry methods and metabolic flux analysis will then be used to validate these hypotheses, followed by development of genetic animal models and physiology studies. Together, these approaches will generate testable hypothesis backed up by preliminary data, which is essential for successful competition for future funding opportunities.
描述(由候选人提供):目前的研究是研究表观基因组修饰子组蛋白去乙酰化酶3 (HDAC3)如何调节骨骼肌碳水化合物代谢和胰岛素敏感性,以响应内部生物钟或外部饮食因素。我开发了一种新的小鼠模型,骨骼肌中HDAC3特异性缺失,并发现小鼠表现出代谢昼夜节律基因表达中断,并加剧了高脂肪饮食(HFD)诱导的葡萄糖耐受不良。在导师的指导阶段,我将获得在导师的实验室中建立的全基因组表观基因组方法方面的新专业知识。通过与宾夕法尼亚大学其他实验室和核心设施的合作,我还将获得肌肉生理学、代谢通量分析和代谢组学方法方面的额外知识。我建议在独立阶段继续进行的研究是研究HDAC3在运动耐力、燃料选择和效率以及骨骼肌脂质和氨基酸代谢中的作用。我们发现,没有肌肉HDAC3的小鼠,运动耐力得到了惊人的提高,这与燃料偏好从碳水化合物转向脂质有关。我将描述线粒体功能,并通过脂质、酮体和氨基酸分解代谢(包括回杂嘌呤核苷酸循环)在运动动物和分离的原代肌细胞中追踪代谢通量,其中敲低实验将测试特定HDAC3靶基因对观察到的燃料选择和提高燃料效率的要求。独立后我未来的职业目标是破译骨骼肌对体育锻炼的激效反应的表观基因组机制。运动对健康的许多方面都有好处,尤其是在肥胖和糖尿病的情况下。我的一般假设是,表观基因组机制是运动诱导的有益代谢重塑的基础。我将使用全基因组方法和代谢组学方法全面表征运动引起的骨骼肌转录组和表观基因组的变化。据我所知,这是第一次尝试在全基因组范围内分析运动引起的表观基因组变化。这种无偏倚的方法将产生全面的数据集,从中数据挖掘和基序分析将产生关于对运动有反应的新型转录网络的新假设。然后将使用生物化学方法和代谢通量分析来验证这些假设,随后将开发遗传动物模型和生理学研究。总之,这些方法将产生由初步数据支持的可检验的假设,这对于成功竞争未来的资助机会至关重要。
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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Zheng Sun其他文献
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{{ truncateString('Zheng Sun', 18)}}的其他基金
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