Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Gene expression profiles from joint-matched macroscopically intact and OA affected cartilage of patients undergoing joint replacement surgery due to end-stage OA


ABSTRACT: Genome wide gene expression was determined in paired samples of OA affected and preserved cartilage of the same joint using microarray analysis for 33 patients of the RAAK-study. Among the 1717 genes that were significantly different expressed between OA affected and preserved cartilage we found significant enrichment for genes involved in skeletal development (e.g. TNFRSF11B and FRZB). Also several inflammatory genes such as CD55, PTGES and TNFAIP6, previously identified in within-joint analyses as well as in analyses comparing preserved cartilage from OA affected joints versus healthy cartilage were among the top genes. A notable new gene was NGF, highly up-regulated in OA cartilage. To identify gene expression profiles associated with OA processes in articular cartilage and determine pathways responsive to the disease process gene expression profiles of paired preserved and OA affected cartilage samples of the same joint were determined.

ORGANISM(S): Homo sapiens

SUBMITTER: Yolande Ramos 

PROVIDER: E-GEOD-57218 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Genes involved in the osteoarthritis process identified through genome wide expression analysis in articular cartilage; the RAAK study.

Ramos Yolande F M YF   den Hollander Wouter W   Bovée Judith V M G JV   Bomer Nils N   van der Breggen Ruud R   Lakenberg Nico N   Keurentjes J Christiaan JC   Goeman Jelle J JJ   Slagboom P Eline PE   Nelissen Rob G H H RG   Bos Steffan D SD   Meulenbelt Ingrid I  

PloS one 20140723 7


<h4>Objective</h4>Identify gene expression profiles associated with OA processes in articular cartilage and determine pathways changing during the disease process.<h4>Methods</h4>Genome wide gene expression was determined in paired samples of OA affected and preserved cartilage of the same joint using microarray analysis for 33 patients of the RAAK study. Results were replicated in independent samples by RT-qPCR and immunohistochemistry. Profiles were analyzed with the online analysis tools DAVI  ...[more]

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