Q-ToF-Massenspektrometer

蛋白质组学包括对生物样品的整个蛋白质补体的分析，包括所有翻译后修饰。因此，它定义了功能基因组学的复杂表型。蛋白质组学分析是现代生命科学中最具挑战性的，因为蛋白质的动态范围和可变性很大。先进的蛋白质组分析需要应用高度复杂的质谱分析方法，并与不同背景的专家合作，才能有效使用。因此，海德堡大学曼海姆医学院以核心设施管道的形式组织了其研究基础设施，其中蛋白质组学核心设施（PCF）处于关键地位。该建议的目的是在技术上提高能力，并逐步更换PCF的主要高通量质谱仪。前者应反映该领域的技术发展，以确保高质量蛋白质组分析的手段，包括可靠的定量，以支持生命科学的科学项目。最先进的质谱平台提供了相对定量的数据，数以千计的蛋白质在每个样品的单次分析，提高了特异性。因此，他们实现了改进的分析深度，需要更少的样本量或减少仪器时间。数据独立采集（非选择性前体分析）的基本发展实现了数据的高完整性和可重复性，变异系数小于20%。这提高了数据的可比性，并能够区分蛋白质表达的轻微动态变化。高度的可比性为数字化生物银行提供了必要的先决条件。最后，PCF的主要质谱仪越来越不可靠。因此，拟议的文书打算在比较分析领域逐步取代它。曼海姆医学院专注于肿瘤学、血管生物学和医学、转化神经科学和医疗技术四个研究领域。在过去的几年里，这些领域已经大大加强了教师的果断行动。此外，还进行新的和已建立的合作研究项目。因此，科学项目数量的增加对PCF的支持产生了更高的需求，同时要求更新最先进的蛋白质组学技术。代表多个研究小组的若干医学和研究部门的基础研究和转化研究受益于拟议的工具增强PCF，这反映在赠款申请的广泛支持上。

Proteomics encompasses the analysis of the entire protein complement of a biological sample including all posttranslational modifications. As such, it defines the complex phenotype of functional genomics. Proteome analytics is most challenging in modern life sciences, because of the large dynamic range and variability of proteins. Advanced proteome analytics requires the application of highly complex mass spectrometry approaches and collaboration with experts of different backgrounds for efficient use. Therefore, the Medical Faculty Mannheim of the Heidelberg University organized its research infrastructure in form of a Core Facility Pipeline, in which the Proteomics Core Facility (PCF) assumes a key position.Aim of the proposal is the technological enhancement of capabilities as well as the successive replacement of the main high throughput mass spectrometer at the PCF. The former shall reflect the technological development in the field in order to secure the means for high quality proteome analytics including dependable quantitation in support of scientific projects in life sciences. State of the art MS-platforms provide relative quantitative data for thousands of proteins in a single analysis per sample with improved specificity. Thus, they achieve improved depth of analysis and require less sample amount or reduced instrument time. Fundamental developments in data-independent acquisition (non-selective precursor analysis) achieve high data completeness and reproducibility with variation coefficients smaller than 20%. This improves the comparability of data and enables the discrimination of slight dynamic changes in protein expression. The high comparability provides essential prerequisites for digitalized biobanking. Finally, the main MS instrument of the PCF became less and less reliable. Therefore, the proposed instrument is intended to replace it step by step in the area of comparative analyses.The Medical Faculty Mannheim focuses on the four research areas Oncology, Vascular Biology and Medicine, Translational Neuroscience, and Medical Technology. Within the past years, these areas have been strengthened substantially by decisive actions of the faculty. In addition, novel and established cooperative research projects are pursued. As a result, the incremental number of scientific projects generates a higher demand for support by the PCF while asking for updated state of the art proteomics technologies. The basic and translational research of several medical and research departments representing multiple research groups benefit from the proposed instrumental enhancement of the PCF, which is reflected in the broad support of the grant application.