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Recent progress in proteomic workflows and their applications in plant sciences KCI 등재
Plant proteomic study requires a high-throughput separation to the detection and analysis of peptides and proteins by mass spectrometry (MS) to detect low abundant proteins. Together, efficient separation and MS can lead to the detection of thousands of plant proteins in a cell or tissue and help build proteome maps that can provide a global snap-shot of the cell or tissue status. Recently efficient separations based on the HPLC were introduced to allow deeper protein detection and improve throughput. For the HPLC based methods, Multidimensional Protein Identification Technology (MudPIT) and 1D-Gel-LC-MS/MS will be introduced. In MudPIT analysis, all proteins in a sample are digested into peptides before the separation step then the mixture of peptides are separated through the biphasic capillary column and sequentially eluted into the mass spectrometer and analyzed. 1D-Gel-LC-MS/MS separates protein samples in 1D-SDS-Gel then the proteins in each band were ingel-digested into peptides followed by peptides separation with Reverse Phase column and elution into the mass spectrometer. The main goal of this presentation is to introduce the recent protein separation and identification methods based on the HPLC coupled with MS analysis including conventional method of 2D-PAGE.
