Rutgers Mass Spectrometry Core for Integrative Neuroscience Research

摘要-科学核心 基于质谱的蛋白质组学方法在蛋白质组学研究中发挥着越来越重要的作用。 在神经科学研究中的作用。然而，MS的方法和仪器正在不断发展 因此，评估能力，然后有选择地采用和实施新的 方法和技术至关重要。大多数实验室缺乏设备和专业知识， 因此，科学核心将提供具有成本效益和尖端的蛋白质组学能力 到罗格斯大学的NINDS支持的实验室。这项服务的一部分将提供 访问两个新收购的Thermo Q Exactive混合四极轨道阱MS。这是一 高灵敏度/分辨率、高通量仪器， 在蛋白质鉴定和定量方面具有出色能力的神经科学研究， 翻译后修饰的分析和生物标志物的发现和验证。即使有 在现有的核心大学范围内的补贴，MS是昂贵的，财政因素是一个 阻碍了这一强大技术的最佳利用。例如，调查人员 经常以最佳实验设计为代价来节约（例如，适当分析 对照）和神经科学中特别需要的许多大规模MS研究（例如，生物标志 识别）是禁止个人研究人员。该提案的一个关键目标是缓解 NINDS资助的研究人员的限制。 两位共同研究者Hong Li博士和Peter Lobel博士是经验丰富的蛋白质组学研究人员。 因此，他们及其各自的小组将在以下方面为科学核心发挥关键作用： 为实验设计和执行提供投入，这将是成功的关键。 基于蛋白质组学的神经科学研究。其中一个方面将在于发展 为神经科学研究定制的蛋白质组学技术。最后，MS分析 数据，特别是确定蛋白质表达变化的重要性，或 在定量实验中的翻译修饰，是具有挑战性的，因此，另一个关键作用， 科学核心将是具有经验的生物统计学家和生物信息学家的贡献 在分析MS数据中，在分析NINDS支持的项目中。 最后，先进的蛋白质组学技术的增加将促进研究 研究人员个人的计划，但也将促进实验室之间的互动。一 MSCINR将促进的一个重要合作领域将是基础和 设计和实施多发性硬化症生物标志物研究的临床研究人员， 阿尔茨海默氏症和帕金森氏症以及其他神经系统疾病。

ABSTRACT-Scientific Core Mass spectrometer (MS)-based proteomic approaches are playing an increasingly important role in neuroscience research. However, methods and instrumentation for MS are evolving extremely rapidly thus the ability to evaluate, then selectively adopt and implement new methods and technologies is critical. Most laboratories lack the equipment and expertise to do this, thus the Scientific Core will provide cost-effective and cutting-edge proteomics capabilities to NINDS-supported laboratories at Rutgers University. Part of this service will be to provide access to two newly-acquired Thermo Q Exactive Hybrid Quadrupole-Orbitrap MSs. This is a high-sensitivity/resolution, high-throughput instrument that will be extremely important for neuroscience research with excellent capabilities in protein identification and quantitation, analysis of post-translational modification and biomarker discovery and validation. Even with university-wide subsidies in the existing Cores, MS is expensive and financial factors are a deterrent from optimum utilization of this powerful technology. For example, investigators frequently economize at the expense of optimal experimental design (e.g., analysis of proper controls) and many large scale MS studies specifically required in neuroscience (e.g., biomarker identification) are prohibitive for individual researchers. A key goal of this proposal is to alleviate this restriction for NINDS-sponsored researchers. The two Co-PI's, Drs. Hong Li and Peter Lobel, are experienced proteomics researchers. As such, they and their respective groups will fulfill a critical role for the Scientific Core in providing input into experimental design and execution that will be key to success of proteomics-based neuroscience studies. One aspect of this will lie in the development of proteomic technologies that are customized for neuroscience research. Finally, analysis of MS data, in particular ascertaining the significance of changes in protein expression or post- translational modification in quantitative experiments, is challenging thus another key role of the Scientific Core will be the contributions of biostatisticians and bioinformaticians with experience in analyzing MS data, in the analysis of NINDS-supported projects. Finally, increased access to advanced proteomics technology will enhance the research programs of individual investigators but will also promote interaction between laboratories. One important area of collaboration that will be facilitated by the MSCINR will be between basic and clinical researchers in the design and implementation of biomarker studies for multiple sclerosis, Alzheimer's and Parkinson's disease and other neurological diseases.