Document Detail


Mining the plasma proteome for disease applications across seven logs of protein abundance.
MedLine Citation:
PMID:  21062094     Owner:  NLM     Status:  In-Process    
Abstract/OtherAbstract:
The current state of proteomics technologies has sufficiently advanced to allow in-depth quantitative analysis of the plasma proteome and development of a related knowledge base. Here we review approaches that have been applied to increase depth of analysis by mass spectrometry given the substantial complexity of plasma and the vast dynamic range of protein abundance. Fractionation strategies resulting in reduced complexity of individual fractions followed by mass spectrometry analysis of digests from individual fractions has allowed well in excess of 1000 proteins to be identified and quantified with high confidence that span more than seven logs of protein abundance. Such depth of analysis has contributed to elucidation of plasma proteome variation in health and of protein changes associated with disease states.
Authors:
Q Zhang; V Faca; S Hanash
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Publication Detail:
Type:  Journal Article     Date:  2010-11-29
Journal Detail:
Title:  Journal of proteome research     Volume:  10     ISSN:  1535-3907     ISO Abbreviation:  J. Proteome Res.     Publication Date:  2011 Jan 
Date Detail:
Created Date:  2011-01-07     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101128775     Medline TA:  J Proteome Res     Country:  United States    
Other Details:
Languages:  eng     Pagination:  46-50     Citation Subset:  IM    
Affiliation:
Fred Hutchinson Cancer Research Center, Seattle, Washington 98109, USA.
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