The First Pituitary Proteome Landscape From Matched Anterior and Posterior Lobes for a Better Understanding of the Pituitary Gland.


Journal

Molecular & cellular proteomics : MCP
ISSN: 1535-9484
Titre abrégé: Mol Cell Proteomics
Pays: United States
ID NLM: 101125647

Informations de publication

Date de publication:
01 2023
Historique:
received: 27 04 2022
revised: 29 11 2022
accepted: 30 11 2022
pubmed: 6 12 2022
medline: 25 1 2023
entrez: 5 12 2022
Statut: ppublish

Résumé

To date, very few mass spectrometry (MS)-based proteomics studies are available on the anterior and posterior lobes of the pituitary. In the past, MS-based investigations have focused exclusively on the whole pituitary gland or anterior pituitary lobe. In this study, for the first time, we performed a deep MS-based analysis of five anterior and five posterior matched lobes to build the first lobe-specific pituitary proteome map, which documented 4090 proteins with isoforms, mostly mapped into chromosomes 1, 2, and 11. About 1446 differentially expressed significant proteins were identified, which were studied for lobe specificity, biological pathway enrichment, protein-protein interaction, regions specific to comparison of human brain and other neuroendocrine glands from Human Protein Atlas to identify pituitary-enriched proteins. Hormones specific to each lobe were also identified and validated with parallel reaction monitoring-based target verification. The study identified and validated hormones, growth hormone and thyroid-stimulating hormone subunit beta, exclusively to the anterior lobe whereas oxytocin-neurophysin 1 and arginine vasopressin to the posterior lobe. The study also identified proteins POU1F1 (pituitary-specific positive transcription factor 1), POMC (pro-opiomelanocortin), PCOLCE2 (procollagen C-endopeptidase enhancer 2), and NPTX2 (neuronal pentraxin-2) as pituitary-enriched proteins and was validated for their lobe specificity using parallel reaction monitoring. In addition, three uPE1 proteins, namely THEM6 (mesenchymal stem cell protein DSCD75), FSD1L (coiled-coil domain-containing protein 10), and METTL26 (methyltransferase-like 26), were identified using the NeXtProt database, and depicted tumor markers S100 proteins having high expression in the posterior lobe. In summary, the study documents the first matched anterior and posterior pituitary proteome map acting as a reference control for a better understanding of functional and nonfunctional pituitary adenomas and extrapolating the aim of the Human Proteome Project towards the investigation of the proteome of life.

Identifiants

pubmed: 36470533
pii: S1535-9476(22)00286-9
doi: 10.1016/j.mcpro.2022.100478
pmc: PMC9877467
pii:
doi:

Substances chimiques

Proteome 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

100478

Informations de copyright

Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of interest The authors declare no competing interests.

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Auteurs

Arghya Banerjee (A)

Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.

Deepatarup Biswas (D)

Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.

Abhilash Barpanda (A)

Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.

Ankit Halder (A)

Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.

Shamira Sibal (S)

Lokmanya Tilak Municipal Medical College, Mumbai, India.

Rohit Kattimani (R)

Anthony Claret School, Jalahalli, Bengaluru, India.

Abhidha Shah (A)

Department of Neurosurgery at King Edward Memorial Hospital and Seth G. S. Medical College, Mumbai, India.

Anita Mahadevan (A)

Human Brain Bank, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bangalore, India.

Atul Goel (A)

Department of Neurosurgery at King Edward Memorial Hospital and Seth G. S. Medical College, Mumbai, India.

Sanjeeva Srivastava (S)

Department of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India. Electronic address: sanjeeva@iitb.ac.in.

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