Analysis of the human pituitary proteome by data independent label-free liquid chromatography tandem mass spectrometry.
Studies of pituitary-related disorders would be facilitated by enhanced knowledge of the pituitary proteome. To construct a data set of human pituitary proteins, separate protein extracts were prepared from 15 post-mortem pituitaries and analyzed by data independent label-free nanoflow liquid chromatography mass spectrometry (nLC-MS(E) ). The detected mass/time features were aligned and quantified using the Rosetta Elucidator(®) system and annotated using results from ProteinLynx Global Server. The resulting data set comprised 1007 unique proteins, with stringent identification by a minimum of two distinct peptides. These proteins consisted predominantly of enzymes, transporters, transcription/translation factors, cell structure and secreted proteins.
Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Divya
D
Krishnamurthy
Yishai
Y
Levin
Laura W
LW
Harris
Yagnesh
Y
Umrania
Sabine
S
Bahn
Paul C
PC
Guest
D001344:Autopsy; D015415:Biomarkers / Q000378:metabolism*; D002853:Chromatography, Liquid; D006801:Humans; D009479:Neuropeptides / Q000032:analysis* / Q000378:metabolism; D010902:Pituitary Gland / Q000166:cytology / Q000378:metabolism*; D020543:Proteome / Q000032:analysis* / Q000378:metabolism; D040901:Proteomics; D053719:Tandem Mass Spectrometry
D015415:Biomarkers; D009479:Neuropeptides; D020543:Proteome