title: Text-mining network analysis of the response to osmotic stimuli in the intervertebral disc.
abstract: Intervertebral disc cells experience a broad range of physical stimuli under physiologic conditions, including alterations in their osmotic environment. The purpose of this study was to construct a text-mining network of the genes induced during the response to osmotic stimuli in the intervertebral disc. We obtained a gene expression profile of human intervertebral disc cells from the National Center for Biotechnology Information, after culture under hyper- and hypo-osmotic conditions compared to iso-osmotic conditions, and we identified 65 differentially expressed genes of intervertebral disc cells. We constructed a text-mining network using Biblio-MetReS between the differentially expressed genes and other genes that were included in the same document as the differentially expressed genes. Then, we performed pathway-enrichment analysis to identify the most relevant pathways for the response to osmotic stimuli in intervertebral disc cells. Our data provide a comprehensive bioinformatics analysis of genes and pathways that may be involved in the response to osmotic stimuli in the intervertebral disc.
authors.affiliation: Department of Trauma Surgery, East Hospital Affiliated to Tongji University, Shanghai,China.
authors.forename: X
authors.initials: X
authors.lastname: Xu
authors.forename: L
authors.initials: L
authors.lastname: Liu
authors.forename: Q Y
authors.initials: QY
authors.lastname: Lu
mesh_terms: D057225:Data Mining; D020869:Gene Expression Profiling; D005786:Gene Expression Regulation; D053263:Gene Regulatory Networks / Q000235:genetics*; D006801:Humans; D007403:Intervertebral Disc / Q000378:metabolism*; D009995:Osmosis; D015398:Signal Transduction / Q000235:genetics