A MALDI INSTRUMENT FOR TISSUE IMAGING & PROTEIN PROFILING: CANCER

该子项目是利用由NIH/NCRR资助的共享仪器补助金提供的资源的众多研究子项目之一。子项目和研究者（PI）可能已经从另一个NIH来源获得了主要资金，因此可以在其他CRISP条目中表示。列出的机构是资助机构，不一定是研究者的机构。描述（由申请人提供）：MALDI组织成像和MALDI组织分析代表了强大的新方法，其中空间分辨蛋白质分析可以直接从组织样本中实现。在成像模式下，剖面可以组装成蛋白质特异性组织图像，相当于免疫组织化学实验，但多路复用1000倍。直接从组织中以高空间分辨率绘制蛋白质图谱的能力有可能识别疾病的生物标志物，并确定以下具体机制：1)疾病，2)组织分化，以及3)药物反应和毒性。该申请描述了获取最先进的MALDI组织成像仪器的请求，用于心血管、癌症和眼科重要样本的蛋白质分析和组织成像。具体来说，布鲁克Ultraflex II， MALDI串联飞行时间仪器被要求允许目前可能的最高速度图像采集。此外，还需要支持成像和剖面采集和分析的软件。这项强大的技术预计将对南卡罗来纳医科大学的主要研究力量领域产生重大影响，如本提案中所述的12个NIH支持的研究项目所代表的那样。

This subproject is one of many research subprojects utilizing the resources provided by a Shared Instrumentation 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 grant, which is not necessarily the institution for the investigator. DESCRIPTION (provided by applicant): MALDI tissue imaging and MALDI tissue profiling represent powerful new methods where spatially resolved protein profiling can be achieved directly from tissue samples. In imaging mode the profiles can be assembled into a protein specific tissue image equivalent to immunohistochemical experiments but multiplexed 1,000 fold. The ability to map protein profiles with high spatial resolution directly from tissues has the potential to identify biomarkers of disease, and to identify specific mechanisms of: 1) disease, 2) tissue differentiation, as well as 3) drug response and toxicity. This application describes the request for acquisition of a state-of-the-art MALDI tissue imaging instrument for protein profiling and tissue imaging of samples of cardiovascular, cancer and ophthalmologic importance. Specifically, the Bruker Ultraflex II, MALDI tandem time-of-flight instrument is requested to allow the highest speed image acquisition currently possible. In addition, supported software for both imaging and profiling acquisition and analysis are requested. This powerful technology is expected to have significant impact on areas of major research strength at the Medical University of South Carolina as represented by the 12 NIH supported research projects described in this proposal.