例如:"lncRNA", "apoptosis", "WRKY"

A human skeletal muscle interactome centered on proteins involved in muscular dystrophies: LGMD interactome.

Skelet Muscle. 2013 Feb 15;3(1):3
Gaëlle Blandin 1 , Sylvie Marchand , Karine Charton , Nathalie Danièle , Evelyne Gicquel , Jean-Baptiste Boucheteil , Azéddine Bentaib , Laetitia Barrault , Daniel Stockholm , Marc Bartoli , Isabelle Richard
Gaëlle Blandin 1 , Sylvie Marchand , Karine Charton , Nathalie Danièle , Evelyne Gicquel , Jean-Baptiste Boucheteil , Azéddine Bentaib , Laetitia Barrault , Daniel Stockholm , Marc Bartoli , Isabelle Richard
+ et al

[No authors listed]

Author information
  • 1 Généthon CNRS UMR8587, 1, rue de l'Internationale, Evry 91000, France. richard@genethon.fr.
全文

摘要


BACKGROUND:The complexity of the skeletal muscle and the identification of numerous human disease-causing mutations in its constitutive proteins make it an interesting tissue for proteomic studies aimed at understanding functional relationships of interacting proteins in both health and diseases. METHOD:We undertook a large-scale study using two-hybrid screens and a human skeletal-muscle cDNA library to establish a proteome-scale map of protein-protein interactions centered on proteins involved in limb-girdle muscular dystrophies (LGMD). LGMD is a group of more than 20 different neuromuscular disorders that principally affect the proximal pelvic and shoulder girdle muscles. RESULTS AND CONCLUSION:The interaction network we unraveled incorporates 1018 proteins connected by 1492 direct binary interactions and includes 1420 novel protein-protein interactions. Computational, experimental and literature-based analyses were performed to assess the overall quality of this network. Interestingly, LGMD proteins were shown to be highly interconnected, in particular indirectly through sarcomeric proteins. In-depth mining of the LGMD-centered interactome identified new candidate genes for orphan LGMDs and other neuromuscular disorders. The data also suggest the existence of functional links between LGMD2B/dysferlin and gene regulation, between LGMD2C/γ-sarcoglycan and energy control and between LGMD2G/telethonin and maintenance of genome integrity. This dataset represents a valuable resource for future functional investigations.