Quantitative and Predictive Analysis of 5' Splice Site Recognition by U1 snRNP using Massively Parallel Arrays
使用大规模并行阵列对 U1 snRNP 5 剪接位点识别进行定量和预测分析
基本信息
- 批准号:10311645
- 负责人:
- 金额:$ 6.56万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-01 至 2024-07-30
- 项目状态:已结题
- 来源:
- 关键词:5&apos Splice SiteAddressAffinityAlternative SplicingAreaAutomobile DrivingBase PairingBindingBiochemicalBiochemistryBiological AssayBiophysicsCellsComplexDNA LibraryDefectDiseaseElementsEukaryotaEventExcisionExonsFellowshipFoundationsFutureGene ExpressionGenesGenomic approachHumanIn VitroIntronsInvestigationKineticsKnowledgeLabelMalignant NeoplasmsMapsMeasurementMeasuresMediatingMentorshipMethodsModelingMolecularMutationNeuromuscular DiseasesOligonucleotidesPathogenicityPositioning AttributeProcessProteinsRNARNA BiochemistryRNA SplicingRNA-Binding ProteinsRNA-Protein InteractionRegulationRegulatory ElementResearchResearch PersonnelSiteSpectrum AnalysisSpliceosomesTechniquesTechnologyTherapeuticTherapeutic UsesThermodynamicsTissuesTrainingU1 Small Nuclear RibonucleoproteinU1 small nuclear RNAVariantWorkbiophysical analysisbiophysical modelcareerdesignexperimental studygene therapyhigh throughput technologyhuman diseaseinsightmRNA Precursormutantnext generation sequencingpredictive modelingsuccesstranscriptome
项目摘要
Project Summary
Alternative splicing of precursor messenger RNA (pre-mRNA) greatly expands protein diversity and is a crucial
determinant of cellular activity in eukaryotes. Each splicing event begins with the binding of the U1 small nuclear
ribonucleoprotein (snRNP) to a 5' splice site (5'SS) at an exon-intron boundary. Mutations in both the 5'SS
sequence or the U1 snRNA can cause aberrant splicing and are associated with numerous human diseases
including cancer and neuromuscular disorders. Strikingly, our understanding of how a 5'SS is selected by U1
snRNP remains poorly understood. The proposed work aims to adapt and develop new in vitro techniques to
perform high throughput biochemistry and uncover the physical rules of 5'SS selection by U1 snRNP. In Aim 1,
the recently developed RNA on a massively parallel array (RNA-MaP) method will be applied to measure the
thermodynamics and kinetics of U1 snRNP binding to thousands of unique 5'SS sequences simultaneously.
These experiments will lead to the first predictive model of 5'SS sequence on U1 recognition grounded in
biochemical understanding and reveal how pathogenic 5'SS mutations alter these interactions. In Aim 2,
mutations in the 5'SS binding region of the U1 snRNA that are pathogenic or therapeutic will be investigated
using RNA-MaP. These results will reveal the affinity landscape driving 5'SS selection by each mutant and will
aid the design of splicing-corrective therapeutics. Technical Aim 1 will extend the RNA-MaP technique to
generate a new biochemical assay that measures both protein-RNA interactions and splicing kinetics across
thousands of sequences diverse RNAs. This technique will be used to investigate the relationships between
5'SS sequences, intron selection, and intron removal during splicing. Overall, these aims will address long-
standing questions in the field and enable new measurements that will be vital for future studies of pre-mRNA
splicing and its alteration in disease. In addition, these aims provide an entry point for developing expertise in
RNA biochemistry and next-generation sequencing which will help the applicant successfully transition into an
independent position to study the biophysical basis of gene expression.
项目摘要
前体信使RNA(pre-mRNA)的选择性剪接极大地扩展了蛋白质的多样性,并且是一种重要的生物学功能。
真核生物中细胞活性的决定因素。每个剪接事件开始于U1小核
在一个实施方案中,所述重组子可将核糖核蛋白(snRNP)插入外显子-内含子边界处的5'剪接位点(5' SS)。在5 'SS和
序列或U1 snRNA可引起异常剪接,并与许多人类疾病有关
包括癌症和神经肌肉疾病。令人惊讶的是,我们对U1如何选择5 'SS的理解
snRNP仍然知之甚少。拟议的工作旨在适应和开发新的体外技术,
进行高通量生物化学,揭示U1 snRNP选择5 'SS的物理规律。在目标1中,
最近开发的大规模平行阵列上的RNA(RNA-MaP)方法将被应用于测量
U1 snRNP同时与数千个独特的5 'SS序列结合的热力学和动力学。
这些实验将导致第一个预测模型的5 'SS序列对U1的识别接地
生物化学的理解和揭示致病性5 'SS突变如何改变这些相互作用。在目标2中,
将研究U1 snRNA的5 'SS结合区中的致病性或治疗性突变
使用RNA-MaP。这些结果将揭示每个突变体驱动5 'SS选择的亲和力景观,
有助于设计拼接矫正疗法。技术目标1将把RNA-MaP技术扩展到
产生一种新的生物化学测定,测量蛋白质-RNA相互作用和剪接动力学,
数以千计的不同RNA序列。这项技术将被用来调查之间的关系,
5 'SS序列、内含子选择和剪接过程中的内含子去除。总的来说,这些目标将解决长期-
在该领域的常设问题,使新的测量,这将是至关重要的未来研究前mRNA
剪接及其在疾病中的改变。此外,这些目标为发展以下方面的专门知识提供了一个切入点:
RNA生物化学和下一代测序,这将有助于申请人成功地过渡到一个
研究基因表达的生物物理基础。
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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{{ truncateString('David S White', 18)}}的其他基金
Quantitative and Predictive Analysis of 5' Splice Site Recognition by U1 snRNP using Massively Parallel Arrays
使用大规模并行阵列对 U1 snRNP 5 剪接位点识别进行定量和预测分析
- 批准号:
10460136 - 财政年份:2021
- 资助金额:
$ 6.56万 - 项目类别:
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