课题基金 / 基金详情

DVMT OF METHODS, INSTR & TECH FOR IMPROVED PROTEOME & PROTEIN COMPLEXES

DVMT OF METHODS, INSTR & TECH FOR IMPROVED PROTEOME & PROTEIN COMPLEXES
方法的 DVMT,导师
批准号:
7721387
负责人:
RICHARD D SMITH
金额:
$69.63万
依托单位国家:
美国
项目类别:
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-08 至 2009-06-30

项目摘要

项目成果

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中文摘要
翻译
这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目及 研究者(PI)可能从另一个NIH来源获得了主要资金, 因此可以在其他CRISP条目中表示。所列机构为 研究中心,而研究中心不一定是研究者所在的机构。 具体目标2旨在通过开发新的方法,仪器和技术来改善蛋白质组分析。 具体的重点领域包括改进的方法处理磷酸化蛋白质组; MS灵敏度的进步;洗脱时间预测,以改善蛋白质鉴定;和自上而下的完整蛋白质测量的进展。 这些能力是任何涉及临床样本发现蛋白质组学的研究的关键。 这一领域的进展是由合作项目推动的,这些项目的特点是非常规和/或高度复杂的样品以及对动态范围的需求(例如,Rossie,Klemke,Squier,D. Smith,Katze,Warren,and Kulkarni).
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. Specific Aim 2 seeks to improve proteome analyses through the development of new methods, instrumentation, and techniques. Specific areas of focus included improved methods for dealing with the phosphoproteome; advances in MS sensitivity; elution time prediction for improved protein identification; and advances in top-down intact protein measurements. These capabilities are the key to any study that involves discovery proteomics for clinical samples. Progress in this area has been driven by collaborative projects that feature non-conventional and/or highly complex samples and the need for dynamic range (e.g., Rossie, Klemke, Squier, D. Smith, Katze, Warren, and Kulkarni).
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Experimental Core
Proteomics, Metabolomics and Lipidomics
  • 批准号:
    8580047
  • 项目类别:
  • 资助金额:
    $124.8万
  • 财政年份:
    2013
  • 负责人:
    RICHARD D SMITH
  • 依托单位:
WORKSHOP AND TRAINING ACTIVITIES
APPROACHES FOR PROTEIN MODIFICATIONS, INTERACTIONS, & SPATIAL & QUANTITATIVE DYN
国内基金
海外基金
Molecular Interaction Reconstruction of Rheumatoid Arthritis Therapies Using Clinical Data