Pattern Recognition Software for Single Cell Proteomics

描述(申请人提供)：提出了一种分析单细胞蛋白质的新方法。先进的分析技术和独特的软件平台用于对在单细胞蛋白质组学仪器上处理的样本进行分类。研究团队包括蛋白质组学、多维色谱分析和科学计算方面的经验丰富的专家；并将获得前沿蛋白质组学实验的数据。初步结果和类似分析系统的经验表明，拟议的方法具有很强的前景。蛋白质组学有望在人类健康方面取得突破，但蛋白质组学本身就很复杂，产生的数据无法进行分析。因此，需要新的数据方法和工具来实现蛋白质组学的前景。拟议中的项目分析了一种强大的新型毛细管电泳蛋白质组学仪器产生的数据，该仪器可以测量单细胞中的蛋白质。对西雅图Barrett‘s食道队列的食道活检进行了研究。目前迫切需要更好地诊断Barrett‘s食道不典型增生，因此这项研究可能直接导致重要的诊断工具。更广泛地说，单细胞蛋白质组学数据分析工具在系统生物学中开辟了一条重要的新途径，具有制药和其他生物学研究应用。

DESCRIPTION (provided by applicant): A new method is proposed for analyzing proteins in single cells. Advanced analytical techniques and a unique software platform are used to classify samples processed on a single-cell proteomics instrument. The research team includes seasoned experts in proteomics, analysis of multidimensional chromatography, and scientific computing; and will have access to data from leading-edge proteomics experiments. Preliminary results and experience with similar analytical systems indicate strong promise for the proposed approach. Proteomics is expected to produce breakthroughs in human health, but proteomics is inherently complex, producing data that resist analysis. Thus, new data methods and tools are required to realize the promise of proteomics. The proposed project analyzes data produced by a powerful new capillary-electrophoresis proteomics instrument that measures proteins in single cells. Esophageal biopsies from the Seattle Barrett's Esophagus Cohort are studied. There is a critical need for better diagnosis of dysplasias in Barrett's esophagus, so this research may directly lead to important diagnostic tools. More broadly, single-cell proteomics data analysis tools open up an important new avenue in systems biology, with pharmaceutical and other biological research applications.