Mining the Plasma Proteome for Disease Applications Across Seven Logs of Protein Abundance

被引:147
作者
Zhang, Q. [1 ]
Faca, V. [1 ]
Hanash, S. [1 ]
机构
[1] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
关键词
plasma proteome; protein abundance; dynamic range; fractionation; mass spectrometry; biomarker; QUANTITATIVE-ANALYSIS; PANCREATIC-CANCER; MASS-SPECTROMETRY; IDENTIFICATION; SERUM; SENSITIVITY; ALGORITHMS; ISOFORMS; TANDEM; MOUSE;
D O I
10.1021/pr101052y
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
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.
引用
收藏
页码:46 / 50
页数:5
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