Oh J M, Hanash S M, Teichroew D
Department of Industrial and Operations Engineering, School of Engineering, University of Michigan, Ann Arbor 48109-0684, USA.
Electrophoresis. 1999 Apr-May;20(4-5):766-74. doi: 10.1002/(SICI)1522-2683(19990101)20:4/5<766::AID-ELPS766>3.0.CO;2-Z.
There is a considerable need to develop comprehensive, systematic mechanisms to analyze the vast number of proteins that orchestrate various cellular functions and to identify proteins associated with disease or that are affected by pharmacological agents. Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) continues to be relied upon to analyze protein constituents of cells and tissues. We have developed a Laboratory Information Processing System (LIPS) as a computer-based tool for capturing quantitative and qualitative changes in thousands of proteins detected in 2-D gels of various types. Protein databases have been developed to serve as a repository for data processing of the basic and derived data and of findings derived from different studies. There have been remarkable advances both in database technology as well as in the computer hardware that have benefited our effort at mining protein data from 2-D gels. We here review our current efforts aimed at improving the performance and features of our 2-D related protein databases, with particular emphasis on the tools we utilize for database mining via a systematic analysis of information known as post-planned analysis.
迫切需要开发全面、系统的机制，以分析众多协调各种细胞功能的蛋白质，并识别与疾病相关或受药物影响的蛋白质。二维聚丙烯酰胺凝胶电泳（2-D PAGE）仍然是分析细胞和组织蛋白质成分的重要手段。我们开发了一个实验室信息处理系统（LIPS），作为一种基于计算机的工具，用于捕捉在各种类型的二维凝胶中检测到的数千种蛋白质的定量和定性变化。已经开发了蛋白质数据库，作为基础数据、衍生数据以及来自不同研究的结果的数据处理存储库。数据库技术和计算机硬件都取得了显著进展，这有助于我们从二维凝胶中挖掘蛋白质数据。我们在此回顾我们目前为改进二维相关蛋白质数据库的性能和功能所做的努力，特别强调我们通过对称为后计划分析的信息进行系统分析来进行数据库挖掘所使用的工具。
