Literature DB >> 12748949

A reference map of a human pituitary adenoma proteome.

Xianquan Zhan1, Dominic M Desiderio.   

Abstract

In order to compare the proteomes from different cell types of pituitary adenomas for our long-term goal to clarify the molecular mechanisms that participate in the formation of pituitary adenoma, and to detect any tumor-related marker for an "early-stage" diagnosis, the two-dimensional gel electrophoresis (2-DE) reference map of a pituitary adenoma tissue proteome is described here. A vertical, two-dimensional (2-D) polyacrylamide gel electrophoresis system and PDQuest image analysis software have been used to provide a high level of between-gel reproducibility and to accurately array each protein expressed in a pituitary adenoma tissue. Mass spectrometry (matrix-assisted laser desorption/ionization-time of flight MALDI-TOF and liquid chromatography-electrospray ionization-quadrupole-ion trap LC-ESI-Q-IT) and protein databases were used to characterize each protein in the 2-D gel. The results demonstrate that a good reproducibility of the 2-D gel pattern was attained. The position deviation of matched spots among four 2-D gels was 1.95 +/- 0.45 mm in the isoelectric focusing direction, and 1.70 +/- 0.53 mm in the sodium dodecyl sulfate-polyacrylamide gel electrophoresis direction. A total of ca. 1000 protein spots were separated by 2-DE, and 135 protein spots that represent 111 proteins were characterized with mass spectrometry (96 spots for MALDI-TOF, 39 spots for LC-ESI-Q-IT). The characterized proteins include pituitary hormones, cellular signals, enzymes, cellular-defense proteins, cell-structure proteins, transport proteins, etc. Those proteins were located in the cytoplasmic, cellular membrane, mitochondrial, endoplasmic reticulum, nuclear, ribonucleosome, extracellular fractions, or were secreted in plasma, etc. Those identified proteins contribute to a functional profile of the pituitary adenoma proteome. These data will be used to expand the proteome database of the human pituitary, which can be accessed in the website http://www.utmem.edu /proteomics.

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Year:  2003        PMID: 12748949     DOI: 10.1002/pmic.200300408

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  20 in total

1.  Phosphoproteomic analysis of the human pituitary.

Authors:  Sarka Beranova-Giorgianni; Yingxin Zhao; Dominic M Desiderio; Francesco Giorgianni
Journal:  Pituitary       Date:  2006       Impact factor: 4.107

2.  Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome.

Authors:  Xianquan Zhan; Yuda Huang; Ying Long
Journal:  J Vis Exp       Date:  2018-04-02       Impact factor: 1.355

3.  Proteomic analysis of prolactinoma cells by immuno-laser capture microdissection combined with online two-dimensional nano-scale liquid chromatography/mass spectrometry.

Authors:  Yingchao Liu; Jinsong Wu; Guoquan Yan; Ruiping Hou; Dongxiao Zhuang; Luping Chen; Qi Pang; Jianhong Zhu
Journal:  Proteome Sci       Date:  2010-01-29       Impact factor: 2.480

4.  Signaling pathway networks mined from human pituitary adenoma proteomics data.

Authors:  Xianquan Zhan; Dominic M Desiderio
Journal:  BMC Med Genomics       Date:  2010-04-28       Impact factor: 3.063

5.  Proteomics and transcriptomics analyses of secretagogin down-regulation in human non-functional pituitary adenomas.

Authors:  Xianquan Zhan; Chheng-Orn Evans; Nelson M Oyesiku; Dominic M Desiderio
Journal:  Pituitary       Date:  2003       Impact factor: 4.107

6.  Molecular pathogenesis of human prolactinomas identified by gene expression profiling, RT-qPCR, and proteomic analyses.

Authors:  Chheng-Orn Evans; Carlos S Moreno; Xianquan Zhan; Michael T McCabe; Paula M Vertino; Dominic M Desiderio; Nelson M Oyesiku
Journal:  Pituitary       Date:  2008       Impact factor: 4.107

7.  Human growth hormone proteoform pattern changes in pituitary adenomas: Potential biomarkers for 3P medical approaches.

Authors:  Biao Li; Xiaowei Wang; Chenguang Yang; Siqi Wen; Jiajia Li; Na Li; Ying Long; Yun Mu; Jianping Liu; Qin Liu; Xuejun Li; Dominic M Desiderio; Xianquan Zhan
Journal:  EPMA J       Date:  2021-03-03       Impact factor: 6.543

Review 8.  Prognostic indicators in pituitary tumors.

Authors:  Agustinus Suhardja; Kalman Kovacs; Oded Greenberg; Bernd W Scheithauer; Ricardo V Lloyd
Journal:  Endocr Pathol       Date:  2005       Impact factor: 4.056

9.  The use of variations in proteomes to predict, prevent, and personalize treatment for clinically nonfunctional pituitary adenomas.

Authors:  Xianquan Zhan; Dominic M Desiderio
Journal:  EPMA J       Date:  2010-06-29       Impact factor: 6.543

10.  Multi-parameter systematic strategies for predictive, preventive and personalised medicine in cancer.

Authors:  Rong Hu; Xiaowei Wang; Xianquan Zhan
Journal:  EPMA J       Date:  2013-01-22       Impact factor: 6.543

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