Identifying regulatory uORFs as a targetable axis for hereditary disease
Identifying regulatory uORFs as a targetable axis for hereditary disease
批准号:
10709564
负责人:
Yoseph Barash
金额:
$40.4万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-09-23 至 2026-05-31
关键词:
5&apos Untranslated RegionsAffectAnimal ModelAnimalsAntisense OligonucleotidesBMPR2 geneBackBiological AssayBiologyCell Culture TechniquesCellsCodeCommunitiesComputer ModelsCoupledDataData SetDatabasesDiseaseDoseEnzyme-Linked Immunosorbent AssayEvolutionExhibitsFutureGene ProteinsGenesGeneticGenetic DatabasesGenetic DiseasesGenomicsGoalsGrantHereditary DiseaseHeritabilityHumanInitiator CodonInterventionKnowledgeLuciferasesMapsMeasuresMessenger RNAModelingMolecular BiologyMusMutateOpen Reading FramesOutputPathway interactionsPatientsPeptidesPhenotypeProteinsPublishingPulmonary artery structureRNARNA ProcessingRegulatory ElementReporterResourcesRestRoleSignal PathwayTerminator CodonTestingTherapeuticTherapeutic InterventionTranslationsValidationVariantWorkbiobankclinically relevantcomputational pipelinesdesigndisease phenotypedosageexperimental studygenetic variantimprovedin vivoin vivo evaluationmouse modelnovelpreservationprotein expressionpulmonary arterial hypertensiontargeted treatmenttranslational approachtranslational potentialuser-friendlyweb-based tool
中文摘要
摘要
该基金的目的是识别、验证,然后针对治疗干预,
蛋白质编码基因的5'非翻译区(UTR),称为上游开放阅读框(uORF)。
在这样做的过程中,我们的目标是调节选定基因的蛋白质输出,提供一种新的,翻译的,
这种方法具有广泛的潜力,我们将首先在遗传性疾病的动物模型中进行测试。到
为了实现我们的综合MultiPI R01的目标,我们将利用我们两个实验室的专业知识,
计算建模、基因组学、遗传学、RNA生物学、分子生物学和动物研究。在目标1中,
将联合收割机结合大型基因组和遗传数据集,包括gnomAD、宾夕法尼亚医学生物银行和
UKBioBank将系统地识别功能性uORF,并优先考虑验证。所得
人类uORF数据库将作为一个用户友好的网络工具向公众开放和广泛访问。
目标1管道建议的预测调控uORF将被输入实验目标2和3。在
目标2中,我们将使用荧光素酶测定来验证高优先级uORF靶标,并且在目标3中,我们将测试高优先级uORF靶标。
这些uORF的调节作为治疗干预的潜力。目标2和目标3的结果将在
回到Aim1的管道中,以改善未来uORF的优先级。总的来说,我们希望资源和
这项资助的发现揭示了uORF的功能作用,并为以下疾病提供了治疗途径
几种遗传性疾病
英文摘要
Abstract
The aim of this grant is to identify, validate, then target for therapeutic intervention, regulatory elements within
the 5’ untranslated regions (UTR) of protein coding genes, known as upstream open reading frames (uORFs).
In so doing, we aim to modulate the protein output from selected genes, offering a novel, translational
approach with broad potential, that we will first test in the context of animal models of hereditary diseases. To
achieve the goals of our integrative MultiPI R01, we will leverage the expertise of both our labs spanning
computational modeling, genomics, genetics, RNA biology, molecular biology, and animal work. In Aim 1 we
will combine large genomic and genetic datasets including gnomAD, the PennMedicine BioBank, and the
UKBioBank to systematically identify functional uORFs and prioritize those for validation. The resulting
database of human uORFs will be made publicly available and widely accessible as a user-friendly web-tool.
Predicted regulatory uORFs suggested by the Aim 1 pipeline will be fed into the experimental Aims 2 and 3. In
Aim 2 we will validate the high-priority uORF targets using luciferase assays and in Aim 3 we will test the
modulation of these uORFs as a potential for therapeutic intervention. The results of Aims 2 and 3 will be fed
back to the pipeline of Aim1 to improve prioritization of future uORFs. Overall, we expect the resources and
discoveries made by this grant to shed light on the functional role of uORF and offer therapeutic avenues for
several hereditary diseases.
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Identifying regulatory uORFs as a targetable axis for hereditary disease
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负责人:Yoseph Barash
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依托单位:
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海外基金