A Systems Biology Approach to Reveal Huntington's Disease Mechanisms
A Systems Biology Approach to Reveal Huntington's Disease Mechanisms
批准号:
8431372
负责人:
Ernest Fraenkel
金额:
$45.09万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-03-01 至 2015-02-28
关键词:
AffectBehavioralBindingBiochemicalChIP-seqCognitionComputational TechniqueComputer SimulationComputing MethodologiesDNA-Binding ProteinsDataDiseaseEtiologyGenesGeneticGenetic ScreeningHuntington DiseaseKnowledgeLeadLinkMapsMethodsModelingMolecularMovementNeurodegenerative DisordersPathway interactionsProteinsProteomicsReportingRoleSignal PathwaySignal TransductionSymptomsSystems BiologyTechniquesTestingToxic effectTranscription Regulatory ProteinTranscriptional Regulationbasechromatin immunoprecipitationgenetic regulatory proteinhuman Huntingtin proteinhuman diseaseinsightmutantnovel therapeutic interventionnovel therapeuticspolyglutamineprotein protein interactionpublic health relevanceresearch studyresponsetherapeutic target
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): We propose a Systems Biology approach to map transcriptional regulatory networks and related signaling pathways that are altered in Huntington's disease (HD), a fatal autosomal dominant neurodegenerative disorder. HD is caused by a CAG expansion leading to a polyglutamine extension in the huntingtin protein and is characterized by problems with movement, cognition and behavioral function. Although the genetic basis for the disease is clear, the mechanism by which huntingtin causes the observed symptoms remains enigmatic. Our approach is based on the hypothesis that many of the genes previously linked to HD through proteomic and genetic screens are connected through signaling pathways to many of the transcriptional changes that have been reported in HD studies. Identifying these pathways would provide critical new insights into the molecular changes that underlie the disease, and could lead to novel therapeutic strategies. We have recently developed a technique for identifying such signaling pathways through a combination of computational and experimental methods. In Specific Aim 1 we will map out changes in recruitment of transcriptional regulatory proteins because these proteins lie at the interface between the signaling and expression changes. In Specific Aim 2 we will computationally identify signaling changes "upstream" of these regulators that link the transcriptional changes to the genetic and proteomic data. If successful, this approach will advance knowledge of the etiology of HD and provide a powerful new method for studying many human diseases.
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Epigenetic Pathology and Therapy in Huntington's Disease
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Embryonal Brain Tumor Networks
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依托单位:
国内基金
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