TECHNOLOGIES FOR COMPREHENSIVE FUNCTIONAL PROTEOMICS

综合功能蛋白质组学技术

• 批准号: 6514193
• 负责人: JONATHAN W JARVIK
• 金额: $ 81.78万
• 依托单位: CARNEGIE-MELLON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2000
• 资助国家: 美国
• 起止时间: 2000-05-23 至 2003-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6514193
• 关键词: 3T3 cells; Retroviridae; biotechnology; cell sorting; gene induction /repression; genetic library; genetic manipulation; green fluorescent proteins; matrix assisted laser desorption ionization; molecular biology information system; oncoproteins; polymerase chain reaction; protein structure function; proteomics; technology /technique development; transcription factor; transfection /expression vector

DESCRIPTION: (Applicant's Description) This project has two broad goals. The first is to develop CD-tagging technology into a robust tool for comprehensive analysis of the proteome of cultured cells, including primary tumor cells. The second is to develop discovery and analysis technologies that efficiently search CD-tagged cell libraries to identify and analyze genes and proteins that may have value in cancer diagnostics and therapeutics. Within this second goal we will focus on two areas: identifying cell surface receptors that trigger growth arrest or apoptosis, and identifying proteins whose levels rise in response to myc oncogene activation.

描述：（申请人的描述）该项目有两个广泛的目标。 这 首先是将 CD 标签技术开发成一个强大的工具，以实现全面的 培养细胞（包括原代肿瘤细胞）的蛋白质组分析。这 其次是开发有效的发现和分析技术 搜索 CD 标记的细胞库以识别和分析基因和蛋白质 这可能对癌症诊断和治疗有价值。在这一秒之内 我们的目标将重点关注两个领域：识别细胞表面受体 触发生长停滞或细胞凋亡，并识别水平升高的蛋白质 响应 myc 癌基因激活。

项目成果

Boosting accuracy of automated classification of fluorescence microscope images for location proteomics.

• DOI: 10.1186/1471-2105-5-78
• 发表时间: 2004-06-18
• 期刊: BMC bioinformatics
• 影响因子: 3
• 作者: Huang K;Murphy RF
• 通讯作者: Murphy RF

Objective evaluation of differences in protein subcellular distribution.

客观评估蛋白质亚细胞分布的差异。

• DOI: 10.1034/j.1600-0854.2002.30108.x
• 发表时间: 2002
• 期刊: Traffic (Copenhagen, Denmark)
• 作者: Roques,EdwardJS;Murphy,RobertF
• 通讯作者: Murphy,RobertF

Advances in molecular labeling, high throughput imaging and machine intelligence portend powerful functional cellular biochemistry tools.

分子标记、高通量成像和机器智能的进步预示着强大的功能性细胞生化工具。

• DOI: 10.1002/jcb.10448
• 发表时间: 2002
• 期刊: Journal of cellular biochemistry. Supplement.
• 作者: Price,JeffreyH;Goodacre,Angela;Hahn,Klaus;Hodgson,Louis;Hunter,EdwardA;Krajewski,Stanislaw;Murphy,RobertF;Rabinovich,Andrew;Reed,JohnC;Heynen,Susanne
• 通讯作者: Heynen,Susanne