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Proteomic Analysis of the Human Anterior Pituitary Gland.

Authors :
Yelamanchi SD
Tyagi A
Mohanty V
Dutta P
Korbonits M
Chavan S
Advani J
Madugundu AK
Dey G
Datta KK
Rajyalakshmi M
Sahasrabuddhe NA
Chaturvedi A
Kumar A
Das AA
Ghosh D
Jogdand GM
Nair HH
Saini K
Panchal M
Sarvaiya MA
Mohanraj SS
Sengupta N
Saxena P
Subramani PA
Kumar P
Akkali R
Reshma SV
Santhosh RS
Rastogi S
Kumar S
Ghosh SK
Irlapati VK
Srinivasan A
Radotra BD
Mathur PP
Wong GW
Satishchandra P
Chatterjee A
Gowda H
Bhansali A
Pandey A
Shankar SK
Mahadevan A
Prasad TSK
Source :
Omics : a journal of integrative biology [OMICS] 2018 Dec; Vol. 22 (12), pp. 759-769.
Publication Year :
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.

Details

Language :
English
ISSN :
1557-8100
Volume :
22
Issue :
12
Database :
MEDLINE
Journal :
Omics : a journal of integrative biology
Publication Type :
Academic Journal
Accession number :
30571610
Full Text :
https://doi.org/10.1089/omi.2018.0160