Integrating cytomics and proteomics

被引:31
作者
Bernas, T
Grégori, G
Asem, EK
Robinson, JP
机构
[1] Purdue Univ, Cytometry Lab, W Lafayette, IN 47907 USA
[2] Purdue Univ, Sch Vet Med, W Lafayette, IN 47907 USA
[3] CNRS, UMR 6117, Lab Microbiol Geochim & Ecol Marines, F-13288 Marseille 9, France
关键词
D O I
10.1074/mcp.R500014-MCP200
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Systems biology along with what is now classified as cytomics provides an excellent opportunity for cytometry to become integrated into studies where identification of functional proteins in complex cellular mixtures is desired. The combination of cell sorting with rapid protein-profiling platforms offers an automated and rapid technique for greater clarity, accuracy, and efficiency in identification of protein expression differences in mixed cell populations. The integration of cell sorting to purify cell populations opens up a new area for proteomic analysis. This article outlines an approach in which well defined cell analysis and separation tools are integrated into the proteomic programs within a core laboratory. In addition we introduce the concepts of flow cytometry sorting to demonstrate the importance of being able to use flow cytometry as a cell separation technology to identify and collect purified cell populations. Data demonstrating the speed and versatility of this combination of flow cytometry-based cell separation and protein separation and subsequent analysis, examples of protein maps from purified sorted cells, and an analysis of the overall procedure will be shown. It is clear that the power of cell sorting to separate heterogeneous populations of cells using specific phenotypic characteristics increases the power of rapid automated protein separation technologies.
引用
收藏
页码:2 / 13
页数:12
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