Toward a Human Blood Serum Proteome

Joshua N. Adkins, Susan M. Varnum, Kenneth J. Auberry, Ronald J. Moore, Nicolas H. Angell, Richard D. Smith, David L. Springer, Joel G. Pounds
2002 Molecular & Cellular Proteomics  
Blood serum is a complex body fluid that contains various proteins ranging in concentration over at least 9 orders of magnitude. Using a combination of mass spectrometry technologies with improvements in sample preparation, we have performed a proteomic analysis with submilliliter quantities of serum and increased the measurable concentration range for proteins in blood serum beyond previous reports. We have detected 490 proteins in serum by on-line reversed-phase microcapillary liquid
more » ... raphy coupled with ion trap mass spectrometry. To perform this analysis, immunoglobulins were removed from serum using protein A/G, and the remaining proteins were digested with trypsin. Resulting peptides were separated by strong cation exchange chromatography into distinct fractions prior to analysis. This separation resulted in a 3-5-fold increase in the number of proteins detected in an individual serum sample. With this increase in the number of proteins identified we have detected some lower abundance serum proteins (ng/ml range) including human growth hormone, interleukin-12, and prostate-specific antigen. We also used SEQUEST to compare different protein databases with and without filtering. This comparison is plotted to allow for a quick visual assessment of different databases as a subjective measure of analytical quality. With this study, we have performed the most extensive analysis of serum proteins to date and laid the foundation for future refinements in the identification of novel protein biomarkers of disease. Molecular & Cellular Proteomics 1:947-955, 2002. Research Molecular & Cellular Proteomics 1.12 947 * This work was supported by the Biotechnology section of Core Technology, Battelle Memorial Institute. The costs of publication of this article were defrayed in part by the payment of page charges. FIG. 4. Global affects of SEQUEST peptide identification filters. Shown are populations using a "random sequence" database with genome level complexity and a human protein database. The D. radiodurans database was used here as the random sequence database with results unfiltered (A) and filtered (C). A database derived from NCBI human protein sequence data was used as the human protein database with results unfiltered (B) and filtered (D).
doi:10.1074/mcp.m200066-mcp200 pmid:12543931 fatcat:3voanbejlfcqthyvfuyv7cnlri