Project 1: Discovery of proteins with altered abundance and stability

项目 1:发现丰度和稳定性发生改变的蛋白质

基本信息

  • 批准号:
    10359192
  • 负责人:
  • 金额:
    $ 47.17万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-02-15 至 2025-01-31
  • 项目状态:
    未结题

项目摘要

Abstract Despite the association between the levels of CSF Aβ42, tau, phosphorylated tau and underlying AD pathology, measures of biomarker accuracy for clinical diagnosis vary widely between studies. Given that other neurodegenerative conditions can present with AD-like clinical symptoms, and individuals with AD frequently have comorbid pathologies, additional markers are needed that can aid in differential diagnosis and identify mixed pathologies. Over the last decade, many candidate biomarkers have been identified, reflecting a range of pathophysiological processes including cholesterol metabolism, neuroinflammation and amyloid processing. However, few, have been adopted in clinical practice or been validated in large independent cohorts1. The MacCoss lab and others have been pioneering the development of next generation proteomics methods as an alternative to the classic stochastic mass spectrometry-based methods. These new methods offer a hybrid between a targeted and global proteomics strategy. While mass spectrometry data is collected in an unbiased way, the data is analyzed in a targeted strategy where specific peptides, albeit 1000s are analyzed using prior information. Thus, the reproducible targeting, throughput, and confident MS/MS-based quantification of parallel reaction monitoring (PRM) can be combined with classical discovery methods' ability to qualitatively detect thousands of proteins. These new methods based on systematically collected mass spectrometry data can offer similar quantitative figures of merit and can be validated in analogous fashion to clinical assays. Despite advances in proteomics technologies, most attempts at discovering new CSF markers have either used 1) stochastic sampling methods (e.g. data dependent acquisition) with poorly characterized quantitative performance, 2) small sample cohorts, 3) focused entirely on total CSF, 4) ignored protein processing, and 5) did not consider protein misfolding or stability. The purpose of this project within the cooperative research program is to take our methods to another level – apply true quantitative methods to large well characterized cohorts and extend them to functionally relevant subpopulations. We have a CSF assay that can measure >1050 proteins from completely unfractionated material with figures of merit of within/between day precision, linearity, LOD/LOQ, etc... Furthermore, we can use this assay on subsets of the CSF proteome to assess functionally relevant aspects of the neurobiology including quantity as part of solution or CSF particles, intact protein MW, and protein stability. Finally, we have enough throughput to apply these analyses on a scale sufficient to eliminate the chance that an observation is due to an aberrant subpopulation.
摘要

项目成果

期刊论文数量(0)
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会议论文数量(0)
专利数量(0)

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Michael MacCoss其他文献

Michael MacCoss的其他文献

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{{ truncateString('Michael MacCoss', 18)}}的其他基金

Seattle Quant: A Resource for the Skyline Software Ecosystem
Seattle Quant:Skyline 软件生态系统的资源
  • 批准号:
    10609502
  • 财政年份:
    2021
  • 资助金额:
    $ 47.17万
  • 项目类别:
Seattle Quant: A Resource for the Skyline Software Ecosystem
Seattle Quant:Skyline 软件生态系统的资源
  • 批准号:
    10400105
  • 财政年份:
    2021
  • 资助金额:
    $ 47.17万
  • 项目类别:
Seattle Quant: A Resource for the Skyline Software Ecosystem
Seattle Quant:Skyline 软件生态系统的资源
  • 批准号:
    10189938
  • 财政年份:
    2021
  • 资助金额:
    $ 47.17万
  • 项目类别:
Project 1: Discovery of proteins with altered abundance and stability
项目 1:发现丰度和稳定性发生改变的蛋白质
  • 批准号:
    10573256
  • 财政年份:
    2020
  • 资助金额:
    $ 47.17万
  • 项目类别:
Next Generation Translational Proteomics for Alzheimer's and Related Dementias
阿尔茨海默氏症和相关痴呆症的下一代转化蛋白质组学
  • 批准号:
    10573244
  • 财政年份:
    2020
  • 资助金额:
    $ 47.17万
  • 项目类别:
Core 1: Administrative Core
核心 1:行政核心
  • 批准号:
    10573245
  • 财政年份:
    2020
  • 资助金额:
    $ 47.17万
  • 项目类别:
Next Generation Translational Proteomics for Alzheimer's and Related Dementias
阿尔茨海默氏症和相关痴呆症的下一代转化蛋白质组学
  • 批准号:
    10359187
  • 财政年份:
    2020
  • 资助金额:
    $ 47.17万
  • 项目类别:
Core 1: Administrative Core
核心 1:行政核心
  • 批准号:
    10359188
  • 财政年份:
    2020
  • 资助金额:
    $ 47.17万
  • 项目类别:
The biofilm matrix of P. aeruginosa
铜绿假单胞菌的生物膜基质
  • 批准号:
    10579223
  • 财政年份:
    2019
  • 资助金额:
    $ 47.17万
  • 项目类别:
The biofilm matrix of P. aeruginosa
铜绿假单胞菌的生物膜基质
  • 批准号:
    10330563
  • 财政年份:
    2019
  • 资助金额:
    $ 47.17万
  • 项目类别:
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