RADARS- A RAPID DATA ARCHIVAL AND RETRIEVAL SYSTEM

在人类基因组计划之后，理解和治疗人类疾病的下一个重要步骤是确定基因组中编码的所有成熟基因产物的特征，即蛋白质组。例如，了解正常细胞和转化细胞在存在哪些蛋白质以及它们是如何翻译后修饰方面的差异，对于理解癌症是重要的信息。质谱学是高通量鉴定和表征蛋白质的强有力的实验工具，为快速获得大量有价值的实验数据提供了手段。然而，对这些数据的分析可能非常耗时，而且目前还没有集成的系统来方便地分析、可靠地存储和快速检索蛋白质质谱图和蛋白质序列。我们建议开发一个用于存储蛋白质质谱学实验的快速数据存档和检索系统(RADAR)；该系统将与一套工具集成，用于对蛋白质质谱图以及蛋白质和DNA序列进行全自动分析和比较。雷达将允许存储原始的质谱图、实验条件的描述和执行的分析结果。拟议的商业应用：拟议的用于快速分析来自高通量蛋白质组项目的实验数据的全自动化系统将在发现和验证新药靶标和疾病标记物方面得到应用。它在数据分析和数据存储之间的无缝集成将确保雷达在蛋白质组分析市场上的主导地位。

In the wake of the human genome project, the next important step towards understanding and curing human disease is the characterization of all mature gene products that are encoded in the genome, i.e. the proteome. For example, knowledge of the difference between normal and transformed cells in terms of which proteins are present and how they are post-translationally modified is important information for understanding cancer. Mass spectrometry is a powerful experimental tool for high- throughput identification and characterization of proteins and provides means for rapidly obtaining large amounts of valuable experimental data. However, the analysis of this data can be very time-consuming, and presently no integrated system exists for facile analysis, reliable storage and fast retrieval of protein mass spectra and protein sequences. We propose to develop a Rapid Data Archival and Retrieval System (RADARS) for the storage of protein mass spectrometry experiments; the system will be integrated with a suite of tools for the fully automated analysis and comparison of protein mass spectra and protein and DNA sequences. RADARS will allow for storage of the original mass spectra, description of the experimental conditions, and the results of the analysis performed. PROPOSED COMMERCIAL APPLICATIONS: The proposed fully automated system for fast analysis of experimental data from high-throughput proteome projects will find its application in the discovery and validation of new drug targets and disease markers. Its seamless integration between data analysis and data storage will ensure RADARS dominance in the market of proteome analysis.