中国神经再生研究(英文版)

中国神经再生研究(英文版) ›› 2012, Vol. 7 ›› Issue (36): 2922-2928.

• 原著:神经损伤修复保护与再生 • 上一篇    下一篇

成人正常脑垂体组织蛋白质表达谱数据库的建立

  

  • 收稿日期:2012-04-01 修回日期:2012-07-06 出版日期:2012-12-25 发布日期:2012-12-25

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

Rong Xie1, Wei Xu1, Weimin Bao1, Hang Liu2, Luping Chen1, Yiwen Shen1, Jianhong Zhu1   

  1. 1 Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200040, China
    2 Institution of Biological Medicine, Fudan University, Shanghai 200032, China
  • Received:2012-04-01 Revised:2012-07-06 Online:2012-12-25 Published:2012-12-25
  • Contact: Weimin Bao, Master,Professor, Department of Neurosurgery, Huashan Hospital, Fudan University,Shanghai 200040, China baowm1955@sina.com.cn
  • About author:Rong Xie☆, Ph.D., Attending physician, Department of Neurosurgery, Huashan Hospital, Fudan University,Shanghai 200040, China Rong Xie and Wei Xu contributed equally to this work.

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Abstract:

In this study, we selected adult normal pituitary gland tissues from six patients during operations forpituitary 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

Key words: two-dimensional high-performance liquid chromatography, mass spectrum, pituitary gland, proteins;proteomics, hypophyseal tumor, physiological function, pathological mechanism