A gel-based reference map of the porcine hepatocyte proteome.
The overall goal of our research is to characterize and identify gene expression profiles of porcine hepatic cells. In this study, we have prepared two-dimensional electrophoresis maps of cytosol and membrane fractions from freshly prepared hepatocytes which were pooled from three crossbred pigs (35-69kg). Following isoelectric focusing with three pH range immobilized pH gradient strips (pH 3-6, 5-8 and 7-10) and staining the second dimension gels with colloidal Coomassie blue, 728 protein spots were picked and digested with trypsin. Extracted tryptic peptides were initially subjected to matrix-assisted laser desorption/ionization-time of flight mass spectrometry (MALDI-TOF-MS) analysis for identification of proteins by peptide mass fingerprinting (PMF). Proteins which were not identified by PMF were analyzed by liquid chromatography-tandem MS. Utilizing publicly available databases [NCBInr, Swiss Prot and expressed sequence tags (EST)], 648 proteins were identified. Of those, 282 were unique proteins and greater than 90% of proteins spots contained single proteins. These data represent the first comprehensive proteomic analysis of porcine hepatocytes and will provide a database for future investigations of endocrine regulation of gene expression and metabolic processes in vitro.
Animal Biosciences and Biotechnology Laboratory, Animal and Natural Resources Institute, U.S. Department of Agriculture-Agricultural Research Service, Beltsville Agricultural Research Center, Beltsville, MD 20705, USA. thomas.caperna@ars.usda.gov
Thomas J
TJ
Caperna
Amy E
AE
Shannon
Wesley M
WM
Garrett
D000818:Animals; D015180:Electrophoresis, Gel, Two-Dimensional / Q000662:veterinary; D022781:Hepatocytes / Q000737:chemistry / Q000378:metabolism*; D008099:Liver / Q000737:chemistry / Q000378:metabolism; D008297:Male; D040901:Proteomics / Q000379:methods*; D019032:Spectrometry, Mass, Matrix-Assisted Laser Desorption-Ionization / Q000662:veterinary; D013552:Swine / Q000378:metabolism*