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Publications (2)9.44 Total impact

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    Article: Abnormal networks of immune response-related molecules in bone marrow cells from patients with rheumatoid arthritis as revealed by DNA microarray analysis.
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    ABSTRACT: Rheumatoid arthritis (RA) is a systemic autoimmune disease characterized by chronic synovitis that progresses to destruction of cartilage and bone. Bone marrow (BM) cells have been shown to contribute to this pathogenesis. In this study, we compared differentially expressed molecules in BM cells from RA and osteoarthritis (OA) patients and analyzed abnormal regulatory networks to identify the role of BM cells in RA. Gene expression profiles (GEPs) in BM-derived mononuclear cells from 9 RA and 10 OA patients were obtained by DNA microarray. Up- and down-regulated genes were identified by comparing the GEPs from the two patient groups. Bioinformatics was performed by Expression Analysis Systemic Explorer (EASE) 2.0 based on gene ontology, followed by network pathway analysis with Ingenuity Pathways Analysis (IPA) 7.5. The BM mononuclear cells showed 764 up-regulated and 1,910 down-regulated genes in RA patients relative to the OA group. EASE revealed that the gene category response to external stimulus, which included the gene category immune response, was overrepresented by the up-regulated genes. So too were the gene categories signal transduction and phosphate metabolism. Down-regulated genes were dominantly classified in three gene categories: cell proliferation, which included mitotic cell cycle, DNA replication and chromosome cycle, and DNA metabolism. Most genes in these categories overlapped with each other. IPA analysis showed that the up-regulated genes in immune response were highly relevant to the antigen presentation pathway and to interferon signaling. The major histocompatibility complex (MHC) class I molecules, human leukocyte antigen (HLA)-E, HLA-F, and HLA-G, tapasin (TAP) and TAP binding protein, both of which are involved in peptide antigen binding and presentation via MHC class I molecules, are depicted in the immune response molecule networks. Interferon gamma and interleukin 8 were overexpressed and found to play central roles in these networks. Abnormal regulatory networks in the immune response and cell cycle categories were identified in BM mononuclear cells from RA patients, indicating that the BM is pathologically involved in RA.
    Arthritis research & therapy 06/2011; 13(3):R89. · 4.27 Impact Factor
  • Article: Isolation and expression profiling of genes upregulated in bone marrow-derived mononuclear cells of rheumatoid arthritis patients.
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    ABSTRACT: We have comprehensively identified the genes whose expressions are augmented in bone marrow-derived mononuclear cells (BMMC) from patients with Rheumatoid Arthritis (RA) as compared with BMMCs from Osteoarthritis (OA) patients, and named them AURA after augmented in RA. Both stepwise subtractive hybridization and microarray analyses were used to identify AURA genes, which were confirmed by northern blot analysis and/or reverse transcription polymerase chain reaction (RT-PCR). We also assessed their expression levels in individual patients by quantitative real-time RT-PCR. Of 103 AURA genes we have identified, the mRNA levels of the following 10 genes, which are somehow related to immune responses, were increased in many of the RA patients: AREG (=AURA9), FK506-binding protein 5 (FKBP5 = AURA45), C-type lectin superfamily member 9 (CLECSF9 = AURA24), tyrosylprotein sulfotransferase 1 (TPST1 = AURA52), lymphocyte G0/G1 switch gene (G0S2 = AURA8), chemokine receptor 4 (CXCR4 = AURA86), nuclear factor-kappa B (NF-kappaB = AURA25) and two genes of unknown function (FLJ11106 = AURA1, BC022398 = AURA2 and XM_058513 = AURA17). Since AREG was most significantly increased in many of the RA patients, we subjected it to further analysis and found that AREG-epidermal growth factor receptor signaling is highly activated in synovial cells isolated from RA patients, but not in OA synoviocytes. We propose that the expression profiling of these AURA genes may improve our understanding of the pathogenesis of RA.
    DNA Research 09/2006; 13(4):169-83. · 5.16 Impact Factor