TECHNOLOGY FOR AUTOMATED ANALYSIS OF PROTEOMES

蛋白质组自动分析技术

• 批准号: 6351430
• 负责人: STEVEN P GYGI
• 金额: $ 26.6万
• 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 2005-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6351430
• 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.

生物学研究中最引人注目的当前发展之一是从单个基因和蛋白质的分析转变为对生物系统和途径的全面分析。这种转变是自动化，高通量基因组技术的发展及其在序列完整基因组中的应用并在全基因组范围内测量基因表达的结果。当前，尚无强大的技术可用于分析蛋白质水平的生物系统。然而，蛋白质是最重要的生物学效应分子类别，如果没有涉及蛋白质的识别，功能和活性的知识，就无法建立生物过程的完整模型。本应用中提出的工作旨在开发一种技术，以快速，敏感，定量和全面分析复杂生物学样品中蛋白质表达谱，最终在整个细胞裂解物中。一旦开发了这样的技术，就将成为生物学家尝试以生物系统功能，控制和机制来解释基因组线性信息的重要工具。