TECHNOLOGY FOR AUTOMATED ANALYSIS OF PROTEOMES

蛋白质组自动分析技术

• 批准号: 6346778
• 负责人: STEVEN P GYGI
• 金额: $ 8万
• 依托单位: HARVARD MEDICAL SCHOOL
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-02-04 至 2005-01-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6346778
• 关键词: affinity chromatography; biomedical automation; biomedical equipment development; capillary electrophoresis; gas chromatography mass spectrometry; peptides; physical separation; protein purification; proteins; technology /technique development

One of the most dramatic current developments in biological research is the shift from the analysis of single genes and proteins to the comprehensive analysis of biological systems and pathways. This shift is a consequence of the development of automated, high throughput genomic technologies and their application to sequence complete genomes and to measure gene expression on a genome-wide scale. Currently, no comparably powerful technology is available for the analysis of biological systems on the protein level. Howe er, proteins are the most significant class of biological effector molecules, and a complete model of a biological process cannot be established without knowledge of the identify, function and state of activity of the proteins involved. The work proposed in this application is aimed at the development of a technology for the rapid, sensitive, quantitative and comprehensive analysis of protein expression profiles in complex biological samples, ultimately in whole cell lysates. Once developed such a technology will be an essential tool for biologists' attempts to interpret the linear information of genomes in terms of function, control and mechanisms of biological systems.

当前生物学研究中最引人注目的发展之一是从对单个基因和蛋白质的分析转向对生物系统和途径的综合分析。这种转变是自动化、高通量基因组技术发展的结果，以及它们在全基因组测序和全基因组尺度上测量基因表达的应用。目前，还没有相当强大的技术可用于分析蛋白质水平的生物系统。然而，蛋白质是最重要的一类生物效应分子，如果不了解所涉及的蛋白质的鉴定、功能和活性状态，就无法建立完整的生物过程模型。本应用程序中提出的工作旨在开发一种技术，用于快速，敏感，定量和全面分析复杂生物样品中的蛋白质表达谱，最终用于全细胞裂解物。一旦开发出这种技术，将成为生物学家试图从生物系统的功能、控制和机制方面解释基因组线性信息的重要工具。