Literature DB >> 20374942

Differential expression of equine muscle biopsy proteins during normal training and intensified training in young standardbred horses using proteomics technology.

Freek G Bouwman1, Mireille M E van Ginneken, Jean-Paul Noben, Erik Royackers, Ellen de Graaf-Roelfsema, Inge D Wijnberg, Johannes H van der Kolk, Edwin C M Mariman, Eric van Breda.   

Abstract

The major aim of the present study was to investigate the proteome of standardbred horses at different stages of training and intensified training. We searched for biomarkers using small skeletal muscle biopsies of live animals. 2D gel electrophoresis and mass spectrometry were successfully applied to investigate training-induced differential expression of equine muscle biopsy proteins. Despite the poor resolution of the equine genome and proteome, we were able to identify the proteins of 20 differential spots representing 16 different proteins. Evaluation of those proteins complies with adaptation of the skeletal muscle after normal training involving structural changes towards a higher oxidative capacity, an increased capacity to take up long-chain fatty acids, and to store energy in the form of glycogen. Intensified training leads to additional changed spots. Alpha-1-antitrypsin was found increased after intensified training but not after normal training. This protein may thus be considered as a marker for overtraining in horses and also linked to overtraining in human athletes. Copyright 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 20374942     DOI: 10.1016/j.cbd.2009.11.001

Source DB:  PubMed          Journal:  Comp Biochem Physiol Part D Genomics Proteomics        ISSN: 1744-117X            Impact factor:   2.674


  10 in total

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Authors:  Jatin G Burniston; Eric P Hoffman
Journal:  Expert Rev Proteomics       Date:  2011-06       Impact factor: 3.940

Review 2.  Equine clinical genomics: A clinician's primer.

Authors:  M M Brosnahan; S A Brooks; D F Antczak
Journal:  Equine Vet J       Date:  2010-10       Impact factor: 2.888

3.  Muscle Energy Technique plus Neurac Method in Stroke Patients with Hemiplegia Complicated by Diabetes Mellitus and Assessment of Quality of Life.

Authors:  Jingyan Wang; Shuang Wang; Hongmei Wu; Shuxin Dong; Baojun Zhang
Journal:  Dis Markers       Date:  2022-05-09       Impact factor: 3.464

4.  The Equine PeptideAtlas: a resource for developing proteomics-based veterinary research.

Authors:  Louise Bundgaard; Stine Jacobsen; Mette A Sørensen; Zhi Sun; Eric W Deutsch; Robert L Moritz; Emøke Bendixen
Journal:  Proteomics       Date:  2014-02-16       Impact factor: 3.984

5.  Characterization of the equine skeletal muscle transcriptome identifies novel functional responses to exercise training.

Authors:  Beatrice A McGivney; Paul A McGettigan; John A Browne; Alexander C O Evans; Rita G Fonseca; Brendan J Loftus; Amanda Lohan; David E MacHugh; Barbara A Murphy; Lisa M Katz; Emmeline W Hill
Journal:  BMC Genomics       Date:  2010-06-23       Impact factor: 3.969

6.  Physical fitness and mitochondrial respiratory capacity in horse skeletal muscle.

Authors:  Dominique-Marie Votion; Erich Gnaiger; Hélène Lemieux; Ange Mouithys-Mickalad; Didier Serteyn
Journal:  PLoS One       Date:  2012-04-18       Impact factor: 3.240

Review 7.  Comparative Skeletal Muscle Proteomics Using Two-Dimensional Gel Electrophoresis.

Authors:  Sandra Murphy; Paul Dowling; Kay Ohlendieck
Journal:  Proteomes       Date:  2016-09-09

8.  Transcriptome profiling of Arabian horse blood during training regimens.

Authors:  Katarzyna Ropka-Molik; Monika Stefaniuk-Szmukier; Kacper Żukowski; Katarzyna Piórkowska; Artur Gurgul; Monika Bugno-Poniewierska
Journal:  BMC Genet       Date:  2017-04-05       Impact factor: 2.797

Review 9.  Characterization of Contractile Proteins from Skeletal Muscle Using Gel-Based Top-Down Proteomics.

Authors:  Paul Dowling; Margit Zweyer; Dieter Swandulla; Kay Ohlendieck
Journal:  Proteomes       Date:  2019-06-20

10.  Proteomic Markers of Non-functional Overreaching During the Race Across America (RAAM): A Case Study.

Authors:  Edward K Merritt; David C Nieman; Brian R Toone; Arnoud Groen; Artyom Pugachev
Journal:  Front Physiol       Date:  2019-11-15       Impact factor: 4.566

  10 in total

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