Understanding the NMD regulatory path from genetic variation to phenotypes
Understanding the NMD regulatory path from genetic variation to phenotypes
批准号:
10594582
负责人:
Liang Chen
金额:
$32.06万
依托单位国家:
美国
项目类别:
财政年份:
2020
资助国家:
美国
项目状态:
未结题
起止时间:
2020-05-01 至 2025-03-31
关键词:
AccelerationAddressBinding ProteinsBinding SitesBiochemicalBiochemistryBiologicalBiologyCell CycleComputer ModelsComputing MethodologiesDefectDevelopmentDiseaseDropoutGene ExpressionGene Expression RegulationGenesGeneticGenetic TranscriptionGenetic VariationGenomicsGenotype-Tissue Expression ProjectGoalsHealthHeterogeneityHomeostasisHumanImmunityIn VitroIndividualJointsKnowledgeMapsMediatingMessenger RNAMethodsMissionModelingMolecularMolecular BiologyMutationPathway interactionsPhenotypePositioning AttributePost-Transcriptional RegulationPreventionProcessProductionProtein TruncationPublic HealthQuality ControlQuantitative Trait LociRNARNA BindingRNA-Binding ProteinsRegulationResearchResourcesRoleSpecificitySpermatogenesisStatistical MethodsStatistical ModelsStereotypingTherapeuticTherapeutic InterventionTranscriptUnited States National Institutes of HealthVariantbiological adaptation to stressgenetic varianthigh throughput screeningimprovedinsightmRNA DecaymRNA StabilitymRNA Surveillanceneuralnovelposttranscriptionalpower analysispreventpreventive interventiontranscriptome sequencingtranscriptomics
中文摘要
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英文摘要
PROJECT SUMMARY
There are fundamental gaps in our understanding of the regulatory mechanisms of nonsense-
mediated mRNA decay (NMD). Originally conceived as a quality-control checkpoint to recognize
and degrade aberrant transcripts, NMD has become appreciated as a post-transcriptional gene
regulation mechanism to fine-tune expression of many non-aberrant endogenous mRNAs.
However, despite a plethora of biochemical characterization on the NMD pathway, the
mechanism of NMD regulation and the criteria for NMD target selection are poorly understood.
Our long-term goal is to develop computational methods to discover the principles of gene
expression regulation and explore how variations or defects in gene regulation cause
phenotypic variation or disease. The overall objective of this application is to elucidate the
context-dependent NMD regulation of individual genes through genetical genomics. Genetic
variants associated with changes in gene expression (expression quantitative trait loci, eQTLs)
are being catalogued in increasingly large-scale human studies, such as the Genotype-Tissue
Expression (GTEx) project. We will take advantage of this unprecedented resource to dissect
NMD control and to discover NMD regulatory rules in a systematic and unbiased manner.
Traditional biochemical and molecular approaches are essential to deciphering NMD
mechanism but are slow in progress with intrinsic limitations. Genetical genomics will provide a
fresh view and has great promise to uncover new regulatory rules of NMD. We will develop
novel statistical and computational methods tailored to the analysis of NMD regulation. These
methods can also be broadly applied to studies of other regulatory variants. Our long-standing
expertise in transcriptomics analysis, eQTL analysis, and NMD regulation places us in a unique
position to accomplish the proposed project.
The proposed methods meet the analysis challenges arising from transcriptomics, eQTL
mapping, and RNA biology. The completion of this project will vertically advance and expand
our understanding of how NMD regulates gene expression. Ultimately, such knowledge has the
potential to develop NMD-based preventive and therapeutic interventions.
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