Establishing a protein expression profile database for the normal human pituitary gland using two-dimensional high-performance liquid chromatography combined with LTQ-Orbitrap mass spectrometry.
Establishing a protein expression profile database for the normal human pituitary gland using two-dimensional high-performance liquid chromatography combined with LTQ-Orbitrap mass spectrometry.
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二维高效液相色谱结合LTQ-Orbitrap质谱建立正常人垂体蛋白表达谱数据库
DOI：
10.3969/j.issn.1673-5374.2012.36.010
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发表时间：
2012-12-25
影响因子：
6.1
通讯作者：
Zhu J
中科院分区：
文献类型：
--
作者：
Xie R;Xu W;Bao W;Liu H;Chen L;Shen Y;Zhu J
本研究选取6例垂体微腺瘤患者经蝶窦入路扩大切除肿瘤周围正常垂体组织的成人正常垂体组织，采用二维高效液相色谱结合LTQ-Orbitrap质谱蛋白质组学技术分析人正常垂体组织蛋白质表达。在正常人垂体中最高表达的10种蛋白质是：α 3 VI型胶原亚型5前体（高垂体蛋白中的丰度，1.30%），纤维蛋白原β链前原蛋白（0.99%），波形蛋白（0.73%），催乳素（0.69%），ATP合酶，H+转运和线粒体F1复合物β亚基前体（0.52%）、角蛋白I（0.49%）、生长激素（0.45%）、碳酸酐酶I（0.40%）、热休克蛋白90 kDa I（0.31%）和膜联蛋白V（0.30%）。根据这些蛋白质的生物学功能分类，按含量排列的前三类是神经内分泌蛋白（在所有垂体蛋白质中丰度为40.1%）、催化和代谢蛋白（28.3%）和细胞信号转导蛋白（9.8%）。按细胞定位分类，前三位分别为细胞器（24.5%）、膜（20.8%）和细胞质（13.0%）。根据生物过程分类，前三大类蛋白质参与生理过程（42.9%），细胞过程（40.4%）和生物过程的调节（9.1%）。实验结果表明，利用蛋白质组学技术可以准确、高效地建立正常人垂体蛋白质表达谱数据库。
In this study, we selected adult normal pituitary gland tissues from six patients during operations for pituitary microadenomas via the transsphenoidal approach for extended normal pituitary tissue resection around the tumor, and analyzed the protein expression of human normal pituitary using two-dimensional high-performance liquid chromatography combined with LTQ-Orbitrap mass spectrometry proteomics technology. The ten most highly expressed proteins in normal human pituitary were: alpha 3 type VI collagen isoform 5 precursor (abundance among tall pituitary proteins, 1.30%), fibrinogen beta chain preproprotein (0.99%), vimentin (0.73%), prolactin (0.69%), ATP synthase, H+ transporting and mitochondrial F1 complex beta subunit precursor (0.52%), keratin I (0.49%), growth hormone (0.45%), carbonic anhydrase I (0.40%), heat shock protein 90 kDa I (0.31%), and annexin V (0.30%). Based on the biological function classifications of these proteins, the top three categories by content were neuroendocrine proteins (abundance among all pituitary proteins, 40.1%), catalytic and metabolic proteins (28.3%), and cell signal transduction proteins (9.8%). Based on cell positioning classification, the top three categories were cell organelle (24.5%), membrane (20.8%), and cytoplasm (13.0%). Based on biological process classification, the top three categories of proteins are involved in physiological processes (42.9%), cellular processes (40.4%), and regulation of biological processes (9.1%). Our experimental findings indicate that a protein expression profile database of normal human pituitary can be precisely and efficiently established by proteomics technology.
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