Literature DB >> 28057574

A proteomic approach to identify metalloproteins and metal-binding proteins in liver from diabetic rats.

Camila Pereira Braga1, José Cavalcante Souza Vieira2, Ryan A Grove3, Cory H T Boone3, Aline de Lima Leite4, Marília Afonso Rabelo Buzalaf4, Ana Angélica Henrique Fernandes2, Jiri Adamec3, Pedro de Magalhaes Padilha2.   

Abstract

Proteins play crucial roles in biological systems, thus studies comparing the protein pattern present in a healthy sample with an affected sample have been widely used for disease biomarker discovery. Although proteins containing metal ions constitute only a small proportion of the proteome, they are essential in a multitude of structural and functional processes. The correct association between metal ions and proteins is essential because this binding can significantly interfere with normal protein function. Employment of a metalloproteomic study of liver samples from diabetic rats permitted determination of the differential abundance of copper-, selenium-, zinc- and magnesium-associated proteins between diabetic, diabetic treatment with insulin and non-diabetic rats. Proteins were detected by ESI-MS/MS. Seventy-five different proteins were found with alterations in the metal ions of interest. The most prominent pathways affected under the diabetic model included: amino-acid metabolism and its derivates, glycogen storage, metabolism of carbohydrates, redox systems and glucose metabolism. Overall, the current methods employed yielded a greater understanding of metal binding and how type 1 diabetes and insulin treatment can modify some metal bonds in proteins, and therefore affect their mechanism of action and function.
Copyright © 2017 Elsevier B.V. All rights reserved.

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Keywords:  Electrospray ionization-tandem mass spectrometry; Flame atomic absorption spectrometry; Graphite furnace atomic absorption spectrometry; Metalloproteomic; Two-dimensional electrophoresis; Type 1 diabetes

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Year:  2017        PMID: 28057574     DOI: 10.1016/j.ijbiomac.2016.12.073

Source DB:  PubMed          Journal:  Int J Biol Macromol        ISSN: 0141-8130            Impact factor:   6.953


  2 in total

1.  Proteomic investigation of liver from beef cattle (Bos indicus) divergently ranked on residual feed intake.

Authors:  W A Baldassini; S F M Bonilha; R H Branco; J C S Vieira; P M Padilha; D P D Lanna
Journal:  Mol Biol Rep       Date:  2018-09-03       Impact factor: 2.316

2.  Blood copper and risk of cardiometabolic diseases: a Mendelian randomization study.

Authors:  Susanne Jäger; Maria Cabral; Johannes F Kopp; Per Hoffmann; Esther Ng; John B Whitfield; Andrew P Morris; Lars Lind; Tanja Schwerdtle; Matthias B Schulze
Journal:  Hum Mol Genet       Date:  2022-03-03       Impact factor: 6.150

  2 in total

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