Identification of drug candidate for osteoporosis by computational bioinformatics analysis of gene expression profile.

ABSTRACT:

Background

Osteoporosis is a condition of bones that leads to an increased susceptibility to fracture and consequent painful morbidity. It has become a major issue of life quality worldwide. However, until now, the molecular mechanism of this disease is far from being clear.

Methods

In this study, we obtained the gene expression profile of osteoporosis and controls from Gene Expression Omnibus and identified differentially expressed genes (DEGs) using classical t-test method. Then, functional enrichment analyses were performed to identify the dysregulated Gene Ontology categories and dysfunctional pathways in osteoporosis patients compared to controls. Besides, the connectivity map was used to identify compounds that induced inverse gene changes to osteoporosis.

Results</

SUBMITTER: Yu G 

PROVIDER: S-EPMC3599344 | biostudies-literature | 2013 Mar

REPOSITORIES: biostudies-literature