Papin Jason, Subramaniam Shankar
Department of Bioengineering, University of California at San Diego, La Jolla, CA 92037, USA.
Curr Opin Biotechnol. 2004 Feb;15(1):78-81. doi: 10.1016/j.copbio.2004.01.003.
The understanding of cellular function requires an integrated analysis of context-specific, spatiotemporal data from diverse sources. Recent advances in describing the genomic and proteomic 'parts list' of the cell and deciphering the interrelationship of these parts are described, including genome-wide location analysis, standards for microarray data analysis, and two-hybrid and mass spectrometry approaches. This information is being collected and curated in databases such as the Alliance for Cellular Signaling (AfCS) Molecule Pages, which will serve as vital tools for the reconstruction and analysis of cellular signaling networks.
对细胞功能的理解需要对来自不同来源的特定背景时空数据进行综合分析。本文描述了在描述细胞的基因组和蛋白质组“部件清单”以及解读这些部件之间的相互关系方面的最新进展，包括全基因组定位分析、微阵列数据分析标准以及双杂交和质谱方法。这些信息正在诸如细胞信号转导联盟（AfCS）分子页面等数据库中收集和整理，这些数据库将成为重建和分析细胞信号转导网络的重要工具。
