Literature DB >> 15496955

DNA microarray allows molecular profiling of rheumatoid arthritis and identification of pathophysiological targets.

V Devauchelle1, S Marion, N Cagnard, S Mistou, G Falgarone, M Breban, F Letourneur, A Pitaval, O Alibert, C Lucchesi, P Anract, M Hamadouche, X Ayral, M Dougados, X Gidrol, C Fournier, G Chiocchia.   

Abstract

This study was undertaken to evaluate the possibility to obtain a molecular signature of rheumatoid arthritis (RA) comparatively osteoarthritis (OA), and to lay the bases to develop new diagnostic tools and identify new targets. Microarray technology was used for such an analysis. The gene expression profiles of synovial tissues from patients with confirmed RA, and patients with OA were established and compared. A set of 63 genes was selected, based, more specifically, on their overexpression or underexpression in RA samples compared to OA. Results for six of these genes have been verified by quantitative PCR using both samples identical to those used in the microarray experiments and entirely separate samples. Expression profile of the 48 known genes allowed the correct classification of additional RA and OA patients. Furthermore, the distinct expression of three of the selected genes was also studied by quantitative RT-PCR in cultured synovial cells. Detailed analysis of the expression profile of the selected genes provided evidence for dysregulated biological pathways, pointed out to chromosomal location and revealed novel genes potentially involved in RA. It is proposed that such an approach allows valuable diagnosis/prognostics tools in RA to be established and potential targets for combating the disease to be identified.

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Year:  2004        PMID: 15496955     DOI: 10.1038/sj.gene.6364132

Source DB:  PubMed          Journal:  Genes Immun        ISSN: 1466-4879            Impact factor:   2.676


  35 in total

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3.  Telomerase transduced osteoarthritis fibroblast-like synoviocytes display a distinct gene expression profile.

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5.  The investigation of synovial genomic targets of bucillamine with microarray technique.

Authors:  Kenji Oki; Fumio Tsuji; Koji Ohashi; Masaaki Kageyama; Hiroyuki Aono; Minoru Sasano
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Authors:  Gang Wu; Lisha Zhu; Jennifer E Dent; Christine Nardini
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Authors:  Thierry Lequerré; Carine Bansard; Olivier Vittecoq; Céline Derambure; Martine Hiron; Maryvonne Daveau; François Tron; Xavier Ayral; Norman Biga; Isabelle Auquit-Auckbur; Gilles Chiocchia; Xavier Le Loët; Jean-Philippe Salier
Journal:  Arthritis Res Ther       Date:  2009-06-29       Impact factor: 5.156

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Authors:  Fan Zhang; Jian Sha; Thomas G Wood; Cristi L Galindo; Harold R Garner; Mark F Burkart; Giovanni Suarez; Johanna C Sierra; Stacy L Agar; Johnny W Peterson; Ashok K Chopra
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Review 10.  Transcription profiling of rheumatic diseases.

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