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Understanding the molecular consequences of inherited muscular dystrophies: advancements through proteomic experimentation.
Fuller, Heidi R; Graham, Laura C; Llavero Hurtado, Maica; Wishart, Thomas M.
Afiliación
  • Fuller HR; a Wolfson Centre for Inherited Neuromuscular Disease , RJAH Orthopaedic Hospital , Oswestry , UK.
  • Graham LC; b Institute for Science and Technology in Medicine , Keele University , Staffordshire , UK.
  • Llavero Hurtado M; c Euan MacDonald Centre for Motor Neurone Disease Research , University of Edinburgh , Edinburgh , UK.
  • Wishart TM; d Division of Neurobiology, The Roslin Institute and Royal (Dick) School of Veterinary Studies , University of Edinburgh , Edinburgh , UK.
Expert Rev Proteomics ; 13(7): 659-71, 2016 07.
Article en En | MEDLINE | ID: mdl-27329572
ABSTRACT

INTRODUCTION:

Proteomic techniques offer insights into the molecular perturbations occurring in muscular-dystrophies (MD). Revisiting published datasets can highlight conserved downstream molecular alterations, which may be worth re-assessing to determine whether their experimental manipulation is capable of modulating disease severity. AREAS COVERED Here, we review the MD literature, highlighting conserved molecular insights warranting mechanistic investigation for therapeutic potential. We also describe a workflow currently proving effective for efficient identification of biomarkers & therapeutic targets in other neurodegenerative conditions, upon which future MD proteomic investigations could be modelled. Expert commentary Studying disease models can be useful for identifying biomarkers and model specific degenerative cascades, but rarely offer translatable mechanistic insights into disease pathology. Conversely, direct analysis of human samples undergoing degeneration presents challenges derived from complex chronic degenerative molecular processes. This requires a carefully planed & reproducible experimental paradigm accounting for patient selection through to grouping by disease severity and ending with proteomic data filtering and processing.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Proteoma / Proteómica / Distrofias Musculares Límite: Humans Idioma: En Revista: Expert Rev Proteomics Asunto de la revista: BIOQUIMICA Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Biomarcadores / Proteoma / Proteómica / Distrofias Musculares Límite: Humans Idioma: En Revista: Expert Rev Proteomics Asunto de la revista: BIOQUIMICA Año: 2016 Tipo del documento: Article País de afiliación: Reino Unido