The Expanding Proteomics Tool Kit: Choosing the Proper Tool for the Job |
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| Launch in standalone player | |
| Air date: | Thursday, April 02, 2009, 10:00:00 AM |
| Category: | Proteomics |
| Description: | Characterization of the proteome and of protein structure has been greatly enhanced by the plethora of new analytical tools available. Mass spectrometry (MS) has been at the forefront of this advancement, as new modes of analyte ionization and introduction, detection and measurement, and fragmentation processes have allowed proteins (and their products) to be measured more sensitively, providing a deeper understanding of their structure and function. However, the expansion of the tool box presents a dilemma for the experimentalist: which tool should be selected for a given task? Is there a single tool (or experimental platform) that can accommodate all possible jobs?
Various experimental methods to address different questions will be discussed, including both top-down and bottom-up mass spectrometry and proteomic strategies. High-throughput proteomic measurements using MS has been facilitated largely by the ability of the LC-MS/MS to acquire data in the data dependent mode. To further increase the level of proteome coverage for proteome analysis, we are exploring an approach to mass spectrometry-based protein identification that facilitates the simultaneous acquisition of qualitative and quantitative information in a data independent fashion without the use of stable isotope labeling. Using this strategy, we have quantified (relative and absolute) over 200 proteins from human whole saliva. Saliva is the fluid that irrigates the mouth and oral cavity. It has a rich proteome that is derived from the salivary glands, the linings of the oral cavity, and blood. The use of saliva for diagnostic purposes presents an attractive potential option. In addition, mass spectrometry is quickly becoming a technology of choice for analyzing biochemical binding partners and large protein assemblies. Examples of how many of these new MS-based tools are applied to generate structural information for intact proteins will be discussed. http://proteome.nih.gov |
| Author: | Joseph Loo, Professor, Department of Chemistry & Biochemistry, UCLA School of Medicine |
| Runtime: | 75 minutes |
| CIT File ID: | 15009 |
| CIT Live ID: | 7346 |
| Permanent link: | http://videocast.nih.gov/launch.asp?15009 |