Highly parallel analysis of 5' and 3' UTR variants in Autism Spectrum Disorders

自闭症谱系障碍中 5 和 3 UTR 变异的高度并行分析

基本信息

  • 批准号:
    10376785
  • 负责人:
  • 金额:
    $ 57.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2018
  • 资助国家:
    美国
  • 起止时间:
    2018-07-01 至 2024-03-31
  • 项目状态:
    已结题

项目摘要

Substantial investments are being made to sequence the genomes of families with Autism Spectrum Disorder (ASD). However, identifying disease mutations outside the ~1% of protein coding sequences is challenging because 1) the ‘search space’ is so much larger, and thus many more mutations occur by chance, and 2) there is no simple code to identify deleterious mutations in non-coding sequence, and thus loss of function mutations must be defined experimentally. In addition, the consequences of mutations in non-coding (i.e. regulatory) sequences are often highly dependent on the specific cell type. Thus functional assays must be conducted in vivo, in the appropriate CNS cell types. To address the search space challenge, we propose to focus specifically on the untranslated regions (UTRs) of mRNAs. UTRs are important, conserved regulatory sequences that profoundly impact protein levels by altering translation rates or transcript stability for specific genes. Importantly, in ASD cases there is a 2-fold greater rate of UTR mutations in known ASD genes than expected by chance, indicating that roughly half of these UTR mutations may contribute to disease. To address the lack of a code for interpreting UTR mutations, we have assembled a team with a unique combination of expertise to conduct massively parallel functional analysis of UTR variants from ASD patients, in ASD-relevant cell types in vitro and in vivo. Combining two innovative but established components: post-transcriptional massively parallel reporter assays, and cell type specific translational profiling, we aim to establish a pipeline to 1) Identify UTR mutations that result in altered protein levels, 2) conduct genetic burden and association testing on these variants, and 3) define the molecular mechanisms altering protein levels for specific mutations. This pipeline will leverage the existing large investment in ASD genome sequencing by defining individual non-coding disease causing mutations in a class of sequences that has, so far, not been the focus of disease studies.
对自闭症谱系障碍家庭的基因组测序进行了大量投资

项目成果

期刊论文数量(2)
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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JOSEPH D DOUGHERTY其他文献

JOSEPH D DOUGHERTY的其他文献

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{{ truncateString('JOSEPH D DOUGHERTY', 18)}}的其他基金

Molecular recording to predict cell fate decisions and animal behavior
分子记录预测细胞命运决定和动物行为
  • 批准号:
    10260139
  • 财政年份:
    2021
  • 资助金额:
    $ 57.98万
  • 项目类别:
PARALLEL ANALYSIS OF TRANSCRIPTION AND PROTEIN-DNAINTERACTIONS IN SINGLE CNS CELLS
单 CNS 细胞转录和蛋白质-DNA 相互作用的并行分析
  • 批准号:
    10044139
  • 财政年份:
    2020
  • 资助金额:
    $ 57.98万
  • 项目类别:
Washington University Intellectual and Developmental Disabilities Research Center
华盛顿大学智力与发育障碍研究中心
  • 批准号:
    10631989
  • 财政年份:
    2020
  • 资助金额:
    $ 57.98万
  • 项目类别:
Washington University Intellectual and Developmental Disabilities Research Center
华盛顿大学智力与发育障碍研究中心
  • 批准号:
    10630425
  • 财政年份:
    2020
  • 资助金额:
    $ 57.98万
  • 项目类别:
Washington University Intellectual and Developmental Disabilities Research Center
华盛顿大学智力与发育障碍研究中心
  • 批准号:
    10431917
  • 财政年份:
    2020
  • 资助金额:
    $ 57.98万
  • 项目类别:
Highly parallel analysis of 5' and 3' UTR variants in Autism Spectrum Disorders
自闭症谱系障碍中 5 和 3 UTR 变异的高度并行分析
  • 批准号:
    9579916
  • 财政年份:
    2018
  • 资助金额:
    $ 57.98万
  • 项目类别:
Highly parallel analysis of 5' and 3' UTR variants in Autism Spectrum Disorders
自闭症谱系障碍中 5 和 3 UTR 变异的高度并行分析
  • 批准号:
    9891101
  • 财政年份:
    2018
  • 资助金额:
    $ 57.98万
  • 项目类别:
LOCAL TRANSLATION IN ASTROCYTES
星形胶质细胞中的局部翻译
  • 批准号:
    9898492
  • 财政年份:
    2017
  • 资助金额:
    $ 57.98万
  • 项目类别:
Regulation of local translation in glia
神经胶质细胞局部翻译的调控
  • 批准号:
    10737355
  • 财政年份:
    2017
  • 资助金额:
    $ 57.98万
  • 项目类别:
LOCAL TRANSLATION IN ASTROCYTES
星形胶质细胞中的局部翻译
  • 批准号:
    10152678
  • 财政年份:
    2017
  • 资助金额:
    $ 57.98万
  • 项目类别:

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  • 批准号:
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