Thermal proteome profiling for analysis of protein sequence variants in human genetic disease

用于分析人类遗传疾病中蛋白质序列变异的热蛋白质组分析

基本信息

项目摘要

Project Summary Many global proteomics studies have focused on the measurement of protein abundance and post- translational modification status as measures of cellular function. These approaches, while highly informative, are not sufficient as standalone approaches to address the role of genetic variation on human protein function in a high-throughput manner. Our preliminary findings show that thermal proteome profiling (TPP) can measure changes in missense mutant protein stability as well as the impacts of mutant protein stability changes on protein-protein interactions (PPIs). We hypothesize that TPP will be sufficient to provide molecular characterization of protein biophysical changes as a consequence of missense mutations associated with human genetic disease. The initial work will focus on the optimization of TPP dataset analysis through development of normalization approaches, curve fitting, and determination of key quality control cutoffs for applications related to human genetic diseases. In parallel, we will perform mutant TPP analysis of human genetic disease-associated protein sequence variants in the RNA-DNA helicase Senataxin and in multiple subunits of the human RNA exosome. Numerous mutations in Senataxin and subunits of the RNA exosome have been clinically associated with the rare neurodegenerative diseases: Ataxia Oculomotor Apraxia 2 (AOA2), Amyotrophic Lateral Sclerosis 4 (ALS4), and PontoCerebellar Hypoplasia (PCH). In addition to these clinically characterized mutations, a number of additional variants have been identified of unknown clinical significance. We propose that mutant TPP could be used to determine if these uncharacterized sequence variants have similar or unique thermal profiles relative to known disease- causing variants. In addition to mutant TPP analyses, we will perform RNA-Sequencing and chromatin immunoprecipitation analysis of a selection of mutants to further delve into the functional consequences of mutant protein expression. Changes in gene dosage for disease causing mutants and the impact of gene dosage on TPP outcomes will also be explored through our recently developed approach for allele-specific thermal profiling. Allele-specific thermal profiling is not possible through non-mass spectrometry-based methods such as ELISA since determination of protein sequence will be required to differentiate the slight changes in protein sequence. Long-term goals include development of mutant TPP analysis to facilitate measurement of protein expression buffering of deleterious alleles, protein-protein interaction network changes, and the impact of altered variant protein levels on the correlation between mRNA and protein abundance levels.
项目概要 许多全球蛋白质组学研究都集中在蛋白质丰度和后蛋白质的测量上。 翻译修饰状态作为细胞功能的测量。这些方法虽然信息丰富, 作为独立方法不足以解决遗传变异对人类蛋白质功能的作用 以高通量的方式。我们的初步研究结果表明,热蛋白质组分析 (TPP) 可以 测量错义突变蛋白稳定性的变化以及突变蛋白稳定性的影响 蛋白质-蛋白质相互作用(PPI)的变化。我们假设 TPP 将足以提供分子 与相关的错义突变导致的蛋白质生物物理变化的表征 人类遗传病。初步工作将侧重于通过以下方式优化 TPP 数据集分析: 标准化方法的开发、曲线拟合以及关键质量控制临界值的确定 与人类遗传疾病相关的应用。与此同时,我们将对人类进行突变 TPP 分析。 RNA-DNA 解旋酶 Senataxin 和多种中与遗传病相关的蛋白质序列变异 人类RNA外泌体的亚基。 Senataxin 和 RNA 外泌体亚基中存在大量突变 临床上与罕见的神经退行性疾病相关:共济失调动眼神经失用症 2 (AOA2)、肌萎缩侧索硬化症 4 (ALS4) 和桥脑小脑发育不全 (PCH)。除了这些 临床特征突变,已鉴定出许多未知临床的其他变异 意义。我们建议突变的 TPP 可用于确定这些未表征的序列是否 相对于已知的致病变异,变异具有相似或独特的热分布。此外 突变 TPP 分析,我们将对一个突变体进行 RNA 测序和染色质免疫沉淀分析 选择突变体以进一步深入研究突变蛋白表达的功能后果。变化 致病突变体的基因剂量以及基因剂量对 TPP 结果的影响也将是 通过我们最近开发的等位基因特异性热分析方法进行探索。等位基因特异性热 无法通过基于非质谱的方法(例如 ELISA)进行分析,因为 需要蛋白质序列来区分蛋白质序列的细微变化。长期目标 包括突变 TPP 分析的开发,以促进蛋白质表达缓冲的测量 有害等位基因、蛋白质-蛋白质相互作用网络变化以及变异蛋白质水平改变的影响 mRNA 和蛋白质丰度水平之间的相关性。

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)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

AMBER L. MOSLEY其他文献

AMBER L. MOSLEY的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('AMBER L. MOSLEY', 18)}}的其他基金

Thermal proteome profiling for analysis of protein sequence variants in human genetic disease
用于分析人类遗传疾病中蛋白质序列变异的热蛋白质组分析
  • 批准号:
    10181881
  • 财政年份:
    2021
  • 资助金额:
    $ 38.64万
  • 项目类别:
Thermal proteome profiling for analysis of protein sequence variants in human genetic disease
用于分析人类遗传疾病中蛋白质序列变异的热蛋白质组分析
  • 批准号:
    10560577
  • 财政年份:
    2021
  • 资助金额:
    $ 38.64万
  • 项目类别:
Data and Analytics Core
数据和分析核心
  • 批准号:
    10633143
  • 财政年份:
    2015
  • 资助金额:
    $ 38.64万
  • 项目类别:
Data and Analytics Core
数据和分析核心
  • 批准号:
    10427467
  • 财政年份:
    2015
  • 资助金额:
    $ 38.64万
  • 项目类别:
Regulation of RNA Polymerase II transcription by the phosphatase Rtr1
磷酸酶 Rtr1 对 RNA 聚合酶 II 转录的调节
  • 批准号:
    8699788
  • 财政年份:
    2012
  • 资助金额:
    $ 38.64万
  • 项目类别:
Regulation of RNA Polymerase II transcription by the phosphatase Rtr1
磷酸酶 Rtr1 对 RNA 聚合酶 II 转录的调节
  • 批准号:
    8897394
  • 财政年份:
    2012
  • 资助金额:
    $ 38.64万
  • 项目类别:
Regulation of RNA Polymerase II transcription by the phosphatase Rtr1
磷酸酶 Rtr1 对 RNA 聚合酶 II 转录的调节
  • 批准号:
    8370969
  • 财政年份:
    2012
  • 资助金额:
    $ 38.64万
  • 项目类别:
Regulation of RNA Polymerase II transcription by the phosphatase Rtr1
磷酸酶 Rtr1 对 RNA 聚合酶 II 转录的调节
  • 批准号:
    8517754
  • 财政年份:
    2012
  • 资助金额:
    $ 38.64万
  • 项目类别:
Regulation of RNA Polymerase II transcription by the phosphatase Rtr1
磷酸酶 Rtr1 对 RNA 聚合酶 II 转录的调节
  • 批准号:
    9532451
  • 财政年份:
    2012
  • 资助金额:
    $ 38.64万
  • 项目类别:
Regulation of RNA Polymerase II transcription by the phosphatase Rtr1
磷酸酶 Rtr1 对 RNA 聚合酶 II 转录的调节
  • 批准号:
    9920013
  • 财政年份:
    2012
  • 资助金额:
    $ 38.64万
  • 项目类别:

相似海外基金

DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
  • 批准号:
    EP/Y029089/1
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
  • 批准号:
    2337776
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
  • 批准号:
    2338816
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
  • 批准号:
    2338846
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
  • 批准号:
    2348261
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
  • 批准号:
    2348346
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
  • 批准号:
    2348457
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
  • 批准号:
    2404989
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Standard Grant
CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
  • 批准号:
    2339669
  • 财政年份:
    2024
  • 资助金额:
    $ 38.64万
  • 项目类别:
    Continuing Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了