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E-GEOD-1919 - Transcription profiling of human synovial samples from patients with osteoarthritis, rheumatoid arthritis vs controls treated with various drug regimes to characterise RA at the molecular level and to uncover key pathomechanisms

Released on 4 November 2004, last updated on 14 March 2019
Homo sapiens
Samples (15)
Array (1)
Protocols (11)
Rheumatoid arthritis (RA) is a chronic, inflammatory joint disease of unknown etiology and pronounced inter-patient heterogeneity. To characterize RA at the molecular level and to uncover key pathomechanisms, we performed whole-genome gene expression analyses. Synovial tissues from rheumatoid arthritis patients were compared to those from osteoarthritis patients and to normal donors. Keywords: disease state analysis Two disease conditions (rheumatoid arthritis and osteoarthritis) in comparison to normal donors were investigated. For the two disease groups samples derived from three individual patients and two pools of patients were hybridised.
Experiment type
transcription profiling by array 
Ute Ungethuem <>, Dirk Koczan, Hans-Juergen Thiesen, Henning Witt, Stefan Blaess, Thomas Haeupl
Molecular signatures and new candidates to target the pathogenesis of rheumatoid arthritis. Ungethuem U, Haeupl T, Witt H, Koczan D, Krenn V, Huber H, von Helversen TM, Drungowski M, Seyfert C, Zacher J, Pruss A, Neidel J, Lehrach H, Thiesen HJ, Ruiz P, Bläss S. , PMID:20858714
Investigation descriptionE-GEOD-1919.idf.txt
Sample and data relationshipE-GEOD-1919.sdrf.txt
Raw data (1)
Processed data (1)
Array designA-AFFY-9.adf.txt