Database development and modeling of signal transduction

描述(申请人提供)：细胞表面的信号转导 B淋巴细胞上的受体控制着一系列不同的细胞反应， 包括细胞周期进程、细胞凋亡诱导、细胞黏附等。 为了了解从受体发出的生化变化是如何 转化为细胞生理学的变化，信号领域通常 重点分析了信令中的单步或单路径 瀑布。然而，现在可以研究信号转导。 通过对大量参与信号转导的分子进行综合分析 同时使用表达阵列和蛋白质组学方法。为了 最大限度地提高这些实验的信息含量是必要的 生物信息学处理产生的大量数据，以开发 用于分析数据的定量模型，并深入了解生化和细胞 用生物实验来验证所开发模型的预测。这个 该项目的具体目标将是开发一个关系数据库，以 集成来自多个实验方法的数据集，并开发 用于数据计算分析的层次聚类模型 已生成。在未来，最后一步将是测试特定方面的 这些模型使用活细胞中的定向功能实验，以便 全面了解信号的复杂性 在整个细胞水平上的转导。

DESCRIPTION (provided by applicant): Signal transduction through cell surface receptors on B lymphocytes controls a diverse set of cellular responses, including cell cycle progression, apoptosis induction, cellular adhesion, etc. In order to understand how biochemical changes emanating from the receptors are translated into changes in cell physiology, the signaling field has generally focused on the analysis of single steps or single pathways in the signaling cascades. However, it is now possible to investigate signal transduction comprehensively by analyzing large numbers of molecules involved in signaling simultaneously using expression array and proteomic approaches. In order to maximize the information content of these experiments it is necessary to use bioinformatics to handle the large amounts of data generated, to develop quantitative models to analyze the data, and to go hack to biochemical and cell biological experiments to test predictions of the models developed. The specific aims of this project will be to develop a relational database to integrate data sets from multiple experimental approaches and to develop hierarchical clustering models for the computational analysis of the data generated. In the future, the final step will be to test specific aspects of these models using directed functional experiments in living cells in order to provide a comprehensive understanding of the complexities of signal transduction at a whole-cell level.