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Quantitative and Predictive Analysis of 5' Splice Site Recognition by U1 snRNP using Massively Parallel Arrays

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:
10311645
负责人:
David S White
金额:
$6.56万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-08-01 至 2024-07-30

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英文摘要
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.
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Quantitative and Predictive Analysis of 5' Splice Site Recognition by U1 snRNP using Massively Parallel Arrays
  • 批准号:
    10460136
  • 项目类别:
  • 资助金额:
    $6.72万
  • 财政年份:
    2021
  • 负责人:
    David S White
  • 依托单位:
海外基金