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Proteomic Analysis of the Human Anterior Pituitary Gland.
Yelamanchi, Soujanya D; Tyagi, Ankur; Mohanty, Varshasnata; Dutta, Pinaki; Korbonits, Márta; Chavan, Sandip; Advani, Jayshree; Madugundu, Anil K; Dey, Gourav; Datta, Keshava K; Rajyalakshmi, M; Sahasrabuddhe, Nandini A; Chaturvedi, Abhishek; Kumar, Amit; Das, Apabrita Ayan; Ghosh, Dhiman; Jogdand, Gajendra M; Nair, Haritha H; Saini, Keshav; Panchal, Manoj; Sarvaiya, Mansi Ashwinsinh; Mohanraj, Soundappan S; Sengupta, Nabonita; Saxena, Priti; Subramani, Pradeep Annamalai; Kumar, Pradeep; Akkali, Rakhil; Reshma, Saraswatipura Vishwabrahmachar; Santhosh, Ramachandran Sarojini; Rastogi, Sangita; Kumar, Sudarshan; Ghosh, Susanta Kumar; Irlapati, Vamshi Krishna; Srinivasan, Anand; Radotra, Bishan Das; Mathur, Premendu P; Wong, G William; Satishchandra, Parthasarathy; Chatterjee, Aditi; Gowda, Harsha; Bhansali, Anil; Pandey, Akhilesh; Shankar, Susarla K; Mahadevan, Anita; Prasad, T S Keshava.
Afiliación
  • Yelamanchi SD; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Tyagi A; 2 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.
  • Mohanty V; 2 Center for Systems Biology and Molecular Medicine, Yenepoya Research Centre, Yenepoya (Deemed to be University), Mangalore, India.
  • Dutta P; 3 Department of Endocrinology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Korbonits M; 4 Department of Endocrinology, Barts and the London School of Medicine, Queen Mary University of London, London, United Kingdom.
  • Chavan S; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Advani J; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Madugundu AK; 5 Manipal Academy of Higher Education, Manipal, India.
  • Dey G; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Datta KK; 5 Manipal Academy of Higher Education, Manipal, India.
  • Rajyalakshmi M; 6 Center for Molecular Medicine, National Institute of Mental Health & Neurosciences, Bangalore, India.
  • Sahasrabuddhe NA; 7 Department of Laboratory Medicine and Pathology and Center for Individualized Medicine, Mayo Clinic, Rochester, Minnesota.
  • Chaturvedi A; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Kumar A; 5 Manipal Academy of Higher Education, Manipal, India.
  • Das AA; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Ghosh D; 8 Department of Biotechnology, BMS College of Engineering, Bangalore, India.
  • Jogdand GM; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Nair HH; 9 Department of Biochemistry, Melaka Manipal Medical College, Manipal Academy of Higher Education, Manipal, India.
  • Saini K; 10 Institute of Life Sciences, Nalco Square, Bhubaneswar, India.
  • Panchal M; 11 Cell Biology and Physiology Division, Indian Institute of Chemical Biology, Kolkata, India.
  • Sarvaiya MA; 12 Protein Engineering and Neurobiology Laboratory, Department of Biosciences and Bioengineering, Indian Institute of Technology, Bombay, India.
  • Mohanraj SS; 10 Institute of Life Sciences, Nalco Square, Bhubaneswar, India.
  • Sengupta N; 13 Division of Cancer Research, Rajiv Gandhi Centre for Biotechnology, Thiruvananthapuram, India.
  • Saxena P; 14 Faculty of Life Sciences and Biotechnology, South Asian University, New Delhi, India.
  • Subramani PA; 15 Department of Life Science, Central University of South Bihar, Gaya, India.
  • Kumar P; 16 Padmashree Dr. D.Y. Patil Medical College, Hospital and Research Centre, Pune, India.
  • Akkali R; 17 Department of Plant Sciences, School of Life Sciences, University of Hyderabad, Hyderabad, India.
  • Reshma SV; 18 Neuroinflammation Laboratory, National Brain Research Centre, Manesar, India.
  • Santhosh RS; 14 Faculty of Life Sciences and Biotechnology, South Asian University, New Delhi, India.
  • Rastogi S; 19 Department of Molecular Parasitology, National Institute of Malaria Research, Bangalore, India.
  • Kumar S; 20 Department of Biotechnology, VBS Purvanchal University, Jaunpur, India.
  • Ghosh SK; 21 Department of Biotechnology, Indian Institute of Technology, Madras, India.
  • Irlapati VK; 22 Department of Biotechnology, PES University, Bangalore, India.
  • Srinivasan A; 23 School of Chemical and Biotechnology, SASTRA University, Thanjavur, India.
  • Radotra BD; 24 Microbiology Laboratory, National Institute of Pathology, New Delhi, India.
  • Mathur PP; 25 Proteomics and Structural Biology Laboratory, Animal Biotechnology Center, National Dairy Research Institute, Karnal, India.
  • Wong GW; 19 Department of Molecular Parasitology, National Institute of Malaria Research, Bangalore, India.
  • Satishchandra P; 26 Dr Reddy's Institute of Life Sciences, University of Hyderabad, Hyderabad, India.
  • Chatterjee A; 27 Department of Pharmacology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Gowda H; 28 Department of Histopathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India.
  • Bhansali A; 29 Department of Biochemistry and Molecular Biology, School of Life Sciences, Pondicherry University, Pondicherry, India.
  • Pandey A; 30 Department of Physiology, Johns Hopkins University School of Medicine, Baltimore, Maryland.
  • Shankar SK; 31 Department of Neurology, National Institute of Mental Health and Neuro Sciences, Bangalore, India.
  • Mahadevan A; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
  • Prasad TSK; 1 Institute of Bioinformatics, International Technology Park, Bangalore, India.
OMICS ; 22(12): 759-769, 2018 12.
Article en En | MEDLINE | ID: mdl-30571610
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Adenohipófisis / Proteoma / Proteómica Límite: Humans Idioma: En Revista: OMICS Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: India
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Adenohipófisis / Proteoma / Proteómica Límite: Humans Idioma: En Revista: OMICS Asunto de la revista: BIOLOGIA MOLECULAR Año: 2018 Tipo del documento: Article País de afiliación: India