Bioinformatic identification of connective tissue growth factor as an osteogenic protein within skeletal muscle.

ABSTRACT: Aging is associated with increasing incidence of osteoporosis; a skeletal disorder characterized by compromised bone strength that may predispose patients to an increased risk of fracture. It is imperative to identify novel ways in which to attenuate such declines in the functional properties of bone. The purpose of this study was to identify, through in silico, in vitro, and in vivo approaches, a protein secreted from skeletal muscle that is putatively involved in bone formation. We performed a functional annotation bioinformatic analysis of human skeletal muscle-derived secretomes (n = 319) using DAVID software. Cross-referencing was conducted using OMIM, Unigene, UniProt, GEO, and CGAP databases. Signal peptides and transmembrane residues were analyzed using SignalP and TMHMM software.

SUBMITTER: Forrester SJ 

PROVIDER: S-EPMC4332228 | biostudies-literature | 2014 Dec

REPOSITORIES: biostudies-literature