Fulltext

Proteomic Analysis of the Human Anterior Pituitary Gland

Yelamanchi SD 1 , Tyagi A 2 , Mohanty V 2 , Dutta P 3 , Korbonits M 4 , Chavan S 1 Show all authors , Advani J 1 , Madugundu AK 1 , Dey G 1 , Datta KK 1 , Rajyalakshmi M 5 , Sahasrabuddhe NA 1 , Chaturvedi A 6 , Kumar A 7 , Das AA 8 , Ghosh D 9 , Jogdand GM 7 , Nair HH 10 , Saini K 11 , Panchal M 12 , Sarvaiya MA 13 , Mohanraj SS 14 , Sengupta N 15 , Saxena P 11 , Subramani PA 16 , Kumar P 17 , Akkali R 18 , Reshma SV 19 , Santhosh RS 20 , Rastogi S 21 , Kumar S 22 , Ghosh SK 16 , Irlapati VK 23 , Srinivasan A 24 , Radotra BD 25 , Mathur PP 26 , Wong GW 27 , Satishchandra P 28 , Chatterjee A 1 , Gowda H 1 , Bhansali A 3 , Pandey A 1 , Shankar SK 29 , Mahadevan A 29 , Prasad TSK 1

Affiliations 

  • 1 1 Institute of Bioinformatics, International Technology Park, Bangalore, India
  • 2 2 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India
  • 3 3 Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
  • 4 4 Department of Endocrinology, Barts and the London School of Medicine, Queen Mary University of London, London, United Kingdom
  • 5 8 Department of Biotechnology, BMS College of Engineering, Bangalore, India
  • 6 9 Department of Biochemistry, Melaka Manipal Medical College, Manipal Academy of Higher Education, Manipal, India
  • 7 10 Institute of Life Sciences, Nalco Square, Bhubaneswar, India
  • 8 11 Cell Biology and Physiology Division, Indian Institute of Chemical Biology, Kolkata, India
  • 9 12 Protein Engineering and Neurobiology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology, Bombay, India
  • 10 13 Division of Cancer Research, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India
  • 11 14 Faculty of Life Sciences and Biotechnology, South Asian University, New Delhi, India
  • 12 15 Department of Life Science, Central University of South Bihar, Gaya, India
  • 13 16 Padmashree Dr. D.Y. Patil Medical College, Hospital and Research Centre, Pune, India
  • 14 17 Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, India
  • 15 18 Neuroinflammation Laboratory, National Brain Research Centre, Manesar, India
  • 16 19 Department of Molecular Parasitology, National Institute of Malaria Research, Bangalore, India
  • 17 20 Department of Biotechnology, VBS Purvanchal University, Jaunpur, India
  • 18 21 Department of Biotechnology, Indian Institute of Technology, Madras, India
  • 19 22 Department of Biotechnology, PES University, Bangalore, India
  • 20 23 School of Chemical and Biotechnology, SASTRA University, Thanjavur, India
  • 21 24 Microbiology Laboratory, National Institute of Pathology, New Delhi, India
  • 22 25 Proteomics and Structural Biology Laboratory, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India
  • 23 26 Dr Reddy's Institute of Life Sciences, University of Hyderabad, Hyderabad, India
  • 24 27 Department of Pharmacology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
  • 25 28 Department of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
  • 26 29 Department of Biochemistry and Molecular Biology, School of Life Sciences, Pondicherry University, Pondicherry, India
  • 27 30 Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, Maryland
  • 28 31 Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India
  • 29 36 Department of Neuropathology, National Institute of Mental Health and Neuro Sciences, Bangalore, India
OMICS, 2018 12;22(12):759-769.
PMID: 30571610 DOI: 10.1089/omi.2018.0160

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.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

MeSH terms
Similar publications