J. Proteome Res., 6 (2), 828 -836, 2007. 10.1021/pr0604920 S1535-3893(06)00492-1
Web Release Date: December 22, 2006

Copyright © 2006 American Chemical Society

Head-to-Head Comparison of Serum Fractionation Techniques

Jeffrey R. Whiteaker, Heidi Zhang, Jimmy K. Eng, Ruihua Fang, Brian D. Piening, Li-Chia Feng, Travis D. Lorentzen, Regine M. Schoenherr, John F. Keane, Ted Holzman, Matthew Fitzgibbon, ChenWei Lin, Hui Zhang, Kelly Cooke, Tao Liu, David G. Camp II, Leigh Anderson, Julian Watts, Richard D. Smith, Martin W. McIntosh, and Amanda G. Paulovich*

Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., P.O. Box 19024, Seattle, Washington 98109-1024, Institute for Systems Biology, 1441 N. 34th Street, Seattle, Washington 98103-8904, Biological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, P.O. Box 999, MSIN: K8-98, Richland, Washington 99352, and Plasma Proteome Institute, P.O. Box 53450, Washington DC 20009-3450

Received September 19, 2006

Abstract:

Multiple approaches for simplifying the serum proteome have been described. These techniques are generally developed across different laboratories, samples, mass spectrometry platforms, and analysis tools. Hence, comparing the available schemes is impossible from the existing literature because of confounding variables. We describe a head-to-head comparison of several serum fractionation schemes, including N-linked glycopeptide enrichment, cysteinyl-peptide enrichment, magnetic bead separation (C3, C8, and WCX), size fractionation, protein A/G depletion, and immunoaffinity column depletion of abundant serum proteins. Each technique was compared to results obtained from unfractionated human serum. The results show immunoaffinity subtraction is the most effective means for simplifying the serum proteome while maintaining reasonable sample throughput. The reported dataset is publicly available and provides a standard against which emergent technologies can be compared and evaluated for their contribution to serum-based biomarker discovery.

Keywords: biomarker human serum human plasma fractionation immunoaffinity depletion LC/MS


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