Literature DB >> 26233254

Labeling and label free shotgun proteomics approaches to characterize muscle tissue from farmed and wild gilthead sea bream (Sparus aurata).

Susy Piovesana1, Anna Laura Capriotti2, Giuseppe Caruso3, Chiara Cavaliere4, Giorgia La Barbera5, Riccardo Zenezini Chiozzi6, Aldo Laganà7.   

Abstract

The proteome characterization of fish muscle tissues, together with the relative expression of each individual protein, provides knowledge on the biochemical response of the organisms and allows to assess the effect of different types of feeding, growth site and nutritional quality of the investigated species. This type of study is usually performed by gel-based proteomics approaches, however shotgun proteomics can serve as well, reducing analysis time and improving sample high-throughput. In this work, a shotgun proteomics method was thus developed and then applied to the characterization of gilthead sea bream edible muscle. The sarcoplasmic protein fraction was extracted, in-solution digested by trypsin and finally analyzed by nanoHPLC high resolution tandem mass spectrometry. Two different quantification strategies were also tested. One was based on chemical dimethyl labeling and the other one on label free quantification. A comparison between these two analytical workflows was performed, to evaluate their individual performance in the analysis of fish samples and assess the differences induced by farming practice on the final commercial product with respect to wild gilthead sea bream. Quantitative differences were detected, and the most relevant one regarded the common fish allergen parvalbumin, found overexpressed in farmed fish samples.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Dimethyl labeling; Food fish proteome; Label free proteomics; Mass spectrometry; Quantification; Shotgun proteomics

Mesh:

Substances:

Year:  2015        PMID: 26233254     DOI: 10.1016/j.chroma.2015.07.049

Source DB:  PubMed          Journal:  J Chromatogr A        ISSN: 0021-9673            Impact factor:   4.759


  7 in total

Review 1.  Proteomics as a promising biomarker in food authentication, quality and safety: A review.

Authors:  Muhammad Afzaal; Farhan Saeed; Muzzamal Hussain; Farheen Shahid; Azhari Siddeeg; Ammar Al-Farga
Journal:  Food Sci Nutr       Date:  2022-03-24       Impact factor: 3.553

Review 2.  Targeted proteomics: Current status and future perspectives for quantification of food allergens.

Authors:  Nagib Ahsan; R Shyama Prasad Rao; Philip A Gruppuso; Bharat Ramratnam; Arthur R Salomon
Journal:  J Proteomics       Date:  2016-04-22       Impact factor: 4.044

3.  Proteomic Analysis Reveals That Metabolic Flows Affect the Susceptibility of Aeromonas hydrophila to Antibiotics.

Authors:  Zujie Yao; Wanxin Li; Yi Lin; Qian Wu; Feifei Yu; Wenxiong Lin; Xiangmin Lin
Journal:  Sci Rep       Date:  2016-12-19       Impact factor: 4.379

4.  Top-Down Proteomics and Farm Animal and Aquatic Sciences.

Authors:  Alexandre M O Campos; André M de Almeida
Journal:  Proteomes       Date:  2016-12-21

5.  Prolonged fasting followed by refeeding modifies proteome profile and parvalbumin expression in the fast-twitch muscle of pacu (Piaractus mesopotamicus).

Authors:  Rafaela Nunes da Silva-Gomes; Maria Laura Gabriel Kuniyoshi; Bruno Oliveira da Silva Duran; Bruna Tereza Thomazini Zanella; Paula Paccielli Freire; Tassiana Gutierrez de Paula; Bruno Evaristo de Almeida Fantinatti; Rondinelle Artur Simões Salomão; Robson Francisco Carvalho; Lucilene Delazari Santos; Maeli Dal-Pai-Silva
Journal:  PLoS One       Date:  2019-12-19       Impact factor: 3.240

6.  Molecular Plasticity under Ocean Warming: Proteomics and Fitness Data Provides Clues for a Better Understanding of the Thermal Tolerance in Fish.

Authors:  Diana Madeira; José E Araújo; Rui Vitorino; Pedro M Costa; José L Capelo; Catarina Vinagre; Mário S Diniz
Journal:  Front Physiol       Date:  2017-10-23       Impact factor: 4.566

7.  High-throughput proteomic profiling of the fish liver following bacterial infection.

Authors:  Dwight R Causey; Moritz A N Pohl; David A Stead; Samuel A M Martin; Christopher J Secombes; Daniel J Macqueen
Journal:  BMC Genomics       Date:  2018-10-01       Impact factor: 3.969

  7 in total

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