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Proteomic Analysis of the Human Anterior Pituitary Gland
- Source :
- OMICS: A Journal of Integrative Biology. 22:759-769
- Publication Year :
- 2018
- Publisher :
- Mary Ann Liebert Inc, 2018.
-
Abstract
- The pituitary function is regulated by a complex system involving the hypothalamus and biological networks within the pituitary. Although the hormones secreted from the pituitary have been well studied, comprehensive analyses of the pituitary proteome are limited. Pituitary proteomics is a field of postgenomic research that is crucial to understand human health and pituitary diseases. In this context, we report here a systematic proteomic profiling of human anterior pituitary gland (adenohypophysis) using high-resolution Fourier transform mass spectrometry. A total of 2164 proteins were identified in this study, of which 105 proteins were identified for the first time compared with high-throughput proteomic-based studies from human pituitary glands. In addition, we identified 480 proteins with secretory potential and 187 N-terminally acetylated proteins. These are the first region-specific data that could serve as a vital resource for further investigations on the physiological role of the human anterior pituitary glands and the proteins secreted by them. We anticipate that the identification of previously unknown proteins in the present study will accelerate biomedical research to decipher their role in functioning of the human anterior pituitary gland and associated human diseases.
- Subjects :
- Proteomics
0301 basic medicine
medicine.medical_specialty
Proteome
Biology
Biochemistry
Mass Spectrometry
03 medical and health sciences
0302 clinical medicine
Anterior pituitary
Pituitary Gland, Anterior
Internal medicine
Genetics
medicine
Humans
Molecular Biology
Research Articles
030104 developmental biology
Endocrinology
medicine.anatomical_structure
Hypothalamus
Molecular Medicine
030217 neurology & neurosurgery
Function (biology)
Chromatography, Liquid
Biotechnology
Hormone
Subjects
Details
- ISSN :
- 15578100
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- OMICS: A Journal of Integrative Biology
- Accession number :
- edsair.doi.dedup.....da510d32393e8330482f76c4d70a366d
- Full Text :
- https://doi.org/10.1089/omi.2018.0160