PROTEIN QUANTIFICATION FOR MOUSE MODEL OF BREAST CANCER

乳腺癌小鼠模型的蛋白质定量

• 批准号: 8168830
• 负责人: RON BOSE
• 金额: $ 0.97万
• 依托单位: WASHINGTON UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-03-10 至 2010-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8168830
• 关键词: Computer Retrieval of Information on Scientific Projects Database; Data Analyses; Experimental Designs; Funding; Grant; Institution; Label; Modeling; Phase; Proteins; Proteomics; Research; Research Personnel; Resources; Source; Transgenic Mice; United States National Institutes of Health; malignant breast neoplasm; mouse model; novel

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. This is a two phase project with the first being the optimization of label-free protein quantification for detecting differentially expressed proteins in a transgenic mouse model of breast cancer. The second phase is to use the quantification model to discover novel breast cancer effected proteins. Both phases will use the standard LC-MS/MS platform in use with the proteomics core, but will use statistical experimental design and a novel application of linear mixed models for data analysis.

这个子项目是许多研究子项目中的一个 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 这是一个两阶段的项目，第一阶段是无标记蛋白的优化 用于检测转基因小鼠中差异表达蛋白的定量 乳腺癌的模型。第二阶段是利用量化模型发现 新的乳腺癌影响蛋白。两个阶段均将使用标准LC-MS/MS 平台与蛋白质组学核心一起使用，但将使用统计实验设计和 线性混合模型在数据分析中的新应用。