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Updated: Mar 19, 2026
Two-dimensional Gel Electrophoresis Coupled with Mass Spectrometry Methods for an Analysis of Human Pituitary Adenoma Tissue Proteome
Published on: April 2, 2018
Human Pituitary Adenoma Proteomics: New Progresses and Perspectives
Xianquan Zhan1, Xiaowei Wang2, Tingting Cheng2
1Key Laboratory of Cancer Proteomics of Chinese Ministry of Health, Xiangya Hospital, Central South University, Changsha, China; Hunan Engineering Laboratory for Structural Biology and Drug Design, Xiangya Hospital, Central South University, Changsha, China; State Local Joint Engineering Laboratory for Anticancer Drugs, Xiangya Hospital, Central South University, Changsha, China; The State Key Laboratory of Medical Genetics, Central South University, Changsha, China.
Proteomics advances have clarified molecular mechanisms of pituitary adenomas (PAs). This research highlights progress in PA proteomics for discovering diagnostic and therapeutic biomarkers.
Area of Science:
- Neuroscience
- Biochemistry
- Oncology
Background:
- Pituitary adenomas (PAs) are common intracranial neoplasms affecting the hypothalamus-pituitary-target organ axis.
- Proteomics offers potential for understanding PA molecular mechanisms and identifying biomarkers.
Purpose of the Study:
- To review recent progress in pituitary adenoma proteomics.
- To identify drawbacks and propose future research directions.
- To address the clinical relevance of PA proteomics.
Main Methods:
- Laser-capture microdissection.
- Proteomics analysis of functional and non-functional PAs, including post-translational modifications and heterogeneity.
- Protein antibody arrays, serum proteomics, and integration with other omics data.
Main Results:
- Significant progress in PA proteomics over the last decade.
- Advancements in analyzing specific PA types, protein modifications, and heterogeneity.
- Development of systematic strategies for PA research.
Conclusions:
- Proteomics is crucial for elucidating PA molecular mechanisms and networks.
- Continued research is needed to overcome current limitations.
- Translating proteomics findings into clinical applications for PA prediction, diagnosis, and treatment is the ultimate goal.
