Comparative plasma proteome analysis of lymphoma-bearing SJL mice.
In SJL mice, growth of RcsX lymphoma cells induces an inflammatory response by stimulating V(beta)16+ T cells. During inflammation, various serum protein levels can increase (e.g., acute phase reactants) or decrease (e.g., albumin), and most of these altered proteins are thus potential biomarkers. Although blood plasma is a valuable and promising sample for biomarker discovery for diseases or for novel drug targets, its proteome is complex. To address this, we have focused on a comprehensive comparison of the plasma proteomes from normal and RcsX-tumor-bearing SJL mice using the 1D-Gel-LC-MS/MS method after removing albumin and immunoglobulins. This analysis resulted in the identification of a total of 1079 nonredundant mouse plasma proteins; more than 480 in normal and 790 in RcsX-tumor-bearing SJL mouse plasma. Of these, only 191 proteins were found in common. The molecular weights ranged from 2 to 876 kDa, covering the pI values between 4.22 and 12.09, and included proteins with predicted transmembrane domains. By comparing the plasma proteomic profile of normal and RcsX-tumor-bearing SJL mice, we found significant changes in the levels of many proteins in RcsX-tumor-bearing mouse plasma. Most of the up-regulated proteins were identified as acute-phase proteins (APPs). Also, several unique proteins i.e., haptoglobin, proteosome subunits, fetuin-B, 14-3-3 zeta, MAGE-B4 antigen, etc, were found only in the tumor-bearing mouse plasma; either secreted, shed by membrane vesicles, or externalized due to cell death. These results affirm the effectiveness of this approach for protein identification from small samples, and for comparative proteomics in potential animal models of human disorders.
Bhat
Vadiraja B
VB
Biological Engineering Division and Department of Chemistry, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 56-731A, Cambridge, MA 02139, USA.
Choi
Man Ho
MH
Wishnok
John S
JS
Tannenbaum
Steven R
SR
D048948:14-3-3 Proteins / Q000737:chemistry; D000418:Albumins / Q000737:chemistry; D000818:Animals; D015415:Biomarkers; D001798:Blood Proteins / Q000032:analysis* / Q000737:chemistry*; D015153:Blotting, Western; D045744:Cell Line, Tumor; D019295:Computational Biology; D004591:Electrophoresis, Polyacrylamide Gel; D006242:Haptoglobins / Q000737:chemistry; D006801:Humans; D015151:Immunoblotting; D007074:Immunoglobulin G / Q000737:chemistry; D007136:Immunoglobulins / Q000737:chemistry; D007249:Inflammation; D008223:Lymphoma / Q000378:metabolism*; D008297:Male; D013058:Mass Spectrometry; D051379:Mice; D008810:Mice, Inbred C57BL; D009363:Neoplasm Proteins / Q000737:chemistry; D010455:Peptides / Q000737:chemistry; D046988:Proteasome Endopeptidase Complex / Q000737:chemistry; D017434:Protein Structure, Tertiary; D020543:Proteome; D040901:Proteomics / Q000379:methods*; D014357:Trypsin / Q000494:pharmacology; D000509:alpha-Fetoproteins / Q000737:chemistry
D048948:14-3-3 Proteins; D000418:Albumins; D015415:Biomarkers; D001798:Blood Proteins; D006242:Haptoglobins; D007074:Immunoglobulin G; D007136:Immunoglobulins; C490638:Mageb4 protein, mouse; D009363:Neoplasm Proteins; D010455:Peptides; D020543:Proteome; D000509:alpha-Fetoproteins; D014357:Trypsin; D046988:Proteasome Endopeptidase Complex