title: Analysis of the proteome in the human pituitary.
abstract: The pituitary is the master endocrine gland responsible for the regulation of various physiologic and metabolic processes. Proteomics offers an efficient means for a comprehensive analysis of pituitary protein expression. This paper reports on the application of proteomics for the mapping of major proteins in a normal (control) pituitary. Pituitary proteins were separated by two-dimensional gel electrophoresis with immobilized pH 3-10 gradient strips. Major protein spots that were visualized in the two-dimensional gel by silver staining were excised, and the proteins in these spots were digested with trypsin. The tryptic digests were analyzed by mass spectrometry, and the mass spectrometric data were used to identify the proteins through searches of the SWISS-PROT or NCBInr protein sequence databases. The majority of the proteins were identified on the basis of peptide mass fingerprinting data obtained by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. Several proteins were also characterized based on product-ion spectra measured by post-source decay analysis and/or liquid chromatography-electrospray-quadrupole ion trap mass spectrometry. To date, 62 prominent protein spots, corresponding to 38 different proteins, were identified. The identified proteins include important pituitary hormones, structural proteins, enzymes, and other proteins. The protein identification data were used to establish a two-dimensional reference database of the human pituitary, which can be accessed over the Internet (http://www.utmem.edu/proteomics). This database will serve as a tool for further proteomics studies of pituitary protein expression in health and disease.
authors: The Charles B. Stout Neuroscience Mass Spectrometry Laboratory, Department of Neurology, University of Tennessee Health Science Center, Memphis 38163, USA.
authors: Sarka
authors: S
authors: Beranova-Giorgianni
authors: Francesco
authors: F
authors: Giorgianni
authors: Dominic M
authors: DM
authors: Desiderio
mesh_terms: D019295:Computational Biology; D030562:Databases, Protein; D015180:Electrophoresis, Gel, Two-Dimensional / Q000379:methods; D005260:Female; D006801:Humans; D013058:Mass Spectrometry; D008875:Middle Aged; D010449:Peptide Mapping; D010902:Pituitary Gland / Q000737:chemistry*; D020543:Proteome / Q000032:analysis*
chemical_list: D020543:Proteome