RADARS- A RAPID DATA ARCHIVAL AND RETRIEVAL SYSTEM

继人类基因组计划之后，了解和治疗人类疾病的下一个重要步骤是对基因组中编码的所有成熟基因产物（即蛋白质组）进行表征。例如，了解正常细胞和转化细胞之间的差异，包括哪些蛋白质存在以及它们如何在翻译后被修饰，这对了解癌症是重要的信息。质谱法是一种强大的实验工具，用于蛋白质的高通量鉴定和表征，并为快速获得大量有价值的实验数据提供了手段。然而，这些数据的分析可能非常耗时，目前还没有一个集成的系统可以方便地分析、可靠地存储和快速检索蛋白质质谱和蛋白质序列。我们建议开发一个快速数据存档和检索系统（RADARS）来存储蛋白质质谱实验数据；该系统将集成一套工具，用于蛋白质质谱、蛋白质和DNA序列的全自动分析和比较。雷达将允许原始质谱的存储，实验条件的描述，以及执行的分析结果。拟议的商业应用：拟议的全自动系统用于快速分析高通量蛋白质组项目的实验数据，将在新药物靶点和疾病标记物的发现和验证中得到应用。数据分析和数据存储的无缝集成将确保RADARS在蛋白质组分析市场的主导地位。

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.