PROTEIN QUANTIFICATION FOR MOUSE MODEL OF BREAST CANCER

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 这是一个两个阶段的项目，第一个阶段是优化无标记蛋白质 转基因小鼠差异表达蛋白的定量检测 乳腺癌的模型。第二阶段是使用量化模型来发现 新的乳腺癌影响蛋白。两个阶段都将使用标准LC-MS/MS 平台使用蛋白质组学核心，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。

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.