• Title of article

    Protein Interaction Mapping Related to to Becker Muscular Dystrophy

  • Author/Authors

    Peyvandi, Ali Azghar Hearing Disorders Research Center - Shahid Beheshti University of Medical Sciences, Tehran , Okhovatian, Farshad Physiotherapy Research Centre - School of Rehabilitation - Shahid Beheshti University of Medical Sciences, Tehran , Rezaei Tavirani, Majid Faculty of Medicine - Iran University of Medical Sciences, Tehran , Zamanian Azodi, Mona Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran , Rezaei Tavirani, Mostafa Proteomics Research Center - Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran

  • Pages
    10
  • From page
    125
  • To page
    134
  • Abstract
    Objective Becker Muscular Dystrophy (BMD) is a neuromuscular disorder which is incurable. In this research protein interaction network of most associated proteins with BMD to provide better clarification of disorder underlying mechanism was investigated. Materials & Methods The related genes to BMD were retrieved via string database and conducted by Cytoscape and the related algorithms. The network centrality analysis was performed based on degree, betweenness, closeness, and stress parameters. Gene ontology and clustering were performed via ClueGO analysis. Results DMD as the super-hub as well as other central proteins including UTRN, TTN, DNM2, and RYR1 are important in BMD in terms of interactive features. The impairment of muscular contraction may be vital in BMD disease pathogenesis as it is the highlighted biological process term obtained by ClueGO analysis. Conclusion DMD targeting may be the main concern for dystrophy clinical approaches. However, the other suggested proteins should be evaluated. Targeting these key proteins are required for treatment goals following extensive validation studies.
  • Keywords
    Becker muscular dystrophy (BMD) , Protein-protein interaction , Map analysis , Gene ontology , Hub proteins
  • Journal title
    Astroparticle Physics
  • Serial Year
    2019
  • Record number

    2488043