Pituitary gland is an endocrine gland about the size of a pea and weighing 0.5 g in humans. It is a protrusion off the bottom of the hypothalamus at the base of the brain. The anterior pituitary is a lobe of the gland that regulates several physiological processes (including stress, growth, reproduction, and lactation). The intermediate lobe synthesizes and secretes melanocyte-stimulating hormone. The posterior pituitary is a lobe of the gland that is functionally connected to the hypothalamus by the median eminence via a small tube called the pituitary stalk. Because of the pivotal regulatory role of the pituitary, it is essential to define on a global scale the components of the pituitary protein machinery. And proteomics is a useful strategy to dissect the complex mechanism. Moreover, enhanced knowledge of the normal tissue proteome would facilitate studies of related diseases and give the molecular insight into health pituitary function.
The recent rapid development of LC-MS/MS technologies has provided a powerful discovery platform that allows for the global proteomic coverage of pituitary. High pH reverse-phase liquid chromatography (hp-RPLC) is well established as a first-dimension peptide fractionation method that can be coupled with routine nano-RPLC-MS/MS. The TripleTOF 5600 system combines high resolution and mass accuracy with high rates of MS/MS acquisition, and provides a desirable discovery platform for the in-depth profiling of complex biological mixtures. Herein, based on the combination of hp-RPLC and TripleTOF 5600, resulting proteomics data from low samples (with 14 high-abundance proteins depletion) and raw samples (without immunoaffinity depletion) were used to produce a comprehensive map of the human pituitary proteome. A dataset of Chinese human normal pituitary, including 7596 non-redundant proteins (more than 2 unique peptides), 121,315 peptides and 436,104 MS/MS spectra were presented and available for freely downloaded. This dataset will offer a useful baseline reference for pituitary biomarker discovery and provide insight into the further understanding of pituitary physiology.