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-MSE). 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.

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Erasmus MC: University Medical Center Rotterdam

Krishnamurthy, D., Levin, Y., Harris, L., Umrania, Y., Bahn, S., & Guest, P. (2011). Analysis of the human pituitary proteome by data independent label-free liquid chromatography tandem mass spectrometry. Proteomics, 11(3), 495–500. doi:10.1002/pmic.201000496