MASS SPECTROMETRY SHARED RESOURCE

描述：(申请者的描述)癌症领域的重大科学挑战 生物学是在分子水平上对生物进行鉴定和表征。 各种肿瘤性疾病的细胞变化。对…的成功至关重要 这一努力是开发和实施用于快速和 敏感蛋白的鉴定及其后处理的特性 翻译修饰语。高灵敏度的质谱(MS)具有 成为此类研究的无价工具。建议的主要目标是 《NCI蛋白质组学和蛋白质分析的质谱学共享资源》是 扩大和提升我们的质谱学的容量和灵敏度 设施，并将最先进的MS技术应用于关键蛋白质 参与癌症研究的分析，加强癌症研究计划 西奈山。 此共享资源的具体目标是： 1.为NCI提供快速、高性价比、高质量的MS服务 以及西奈山和其他NCI的其他面向癌症的调查人员- 资助纽约市的调查人员进行切割- 使用新的质谱学技术进行的前沿研究 解决重要的生化和生物医学问题。 2.将新开发的MS技术从我的研究实验室转移到 NCI共享资源扩容升级 质谱学技术用于辅助NCI资助和 其他面向癌症的调查人员。 3.教育NCI资助的研究人员和其他以癌症为导向的科学家， 以及他们的工作人员使用MS进行癌症生物学中的蛋白质分析。

DESCRIPTION: (Applicant's Description) A major scientific challenge in cancer biology is the identification and characterization at molecular level of the cellular changes in various neoplastic diseases. Critical to the success of this endeavor is the development and implementation of new tools for rapid and sensitive protein identification and characterization of their post- translational modifications. High sensitivity of mass spectrometry (MS) has become an invaluable tool for such studies. The major goal of the proposed "NCI Mass Spectrometry Shared Resource for Proteomics and Protein Analysis" is to expand and upgrade the capacity and sensitivity of our mass spectrometry facility and to apply state-of-the-art MS technologies to critical protein analysis involved in cancer research, strengthening cancer research program at Mount Sinai. The specific aims of this Shared Resource are: 1. To provide rapid, cost-effective, and high-quality MS service for NCI and other cancer-oriented investigators at Mount Sinai and other NCI- funded investigators in the New York City in order to perform cutting- edge research in which new mass spectrometric technologies are used to solve important biochemical and biomedical problems. 2. To transfer newly developed MS technology from my research laboratory to the NCI Shared Resource and expand the capacity and upgrade the sensitivity of mass spectrometry techniques for assisting NCI-funded and other cancer-oriented investigators. 3. To educate NCI-funded investigators, other cancer-oriented scientists, and their staffs on using MS for protein analysis in cancer biology.