Microarray analysis of gene expression in lupus

被引:0
|
作者
Mary K Crow
Jay Wohlgemuth
机构
[1] Hospital for Special Surgery,Mary Kirkland Center for Lupus Research
[2] Expression Diagnostics,undefined
[3] Inc,undefined
来源
关键词
gene expression; interferon; microarray; statistical algorithms; systemic lupus erythematosus;
D O I
暂无
中图分类号
学科分类号
摘要
Recent advances in the study of global patterns of gene expression with the use of microarray technology, coupled with data analysis using sophisticated statistical algorithms, have provided new insights into pathogenic mechanisms of disease. Complementary and reproducible data from multiple laboratories have documented the feasibility of analysis of heterogeneous populations of peripheral blood mononuclear cells from patients with rheumatic diseases through use of this powerful technology. Although some patterns of gene expression, including increased expression of immune system cell surface activation molecules, confirm previous data obtained with other techniques, some novel genes that are differentially expressed have been identified. Most interesting is the dominant pattern of interferon-induced gene expression detected among blood mononuclear cells from patients with systemic lupus erythematosus and juvenile dermatomyositis. These data are consistent with longstanding observations indicating increased circulating interferon-α in the blood of patients with active lupus, but draw attention to the dominance of the interferon pathway in the hierarchy of gene expression pathways implicated in systemic autoimmunity.
引用
收藏
相关论文
共 50 条
  • [31] Embryonic gene expression profiling using microarray analysis
    Marjani, Sadie L.
    Le Bourhis, Daniel
    Vignon, Xavier
    Heyman, Yvan
    Everts, Robin E.
    Rodriguez-Zas, Sandra L.
    Lewin, Harris A.
    Renard, Jean-Paul
    Yang, Xiangzhong
    Tian, X. Cindy
    REPRODUCTION FERTILITY AND DEVELOPMENT, 2009, 21 (01) : 22 - 30
  • [32] Microarray analysis of gene expression in human donor sclera
    Young, TL
    Scavello, GS
    Paluru, PC
    Choi, JD
    Rappaport, EF
    Rada, JA
    MOLECULAR VISION, 2004, 10 (22-23): : 163 - 176
  • [33] Microarray analysis of gene expression in medicinal plant research
    Youns, Mahmoud
    Efferth, Thomas
    Hoheisel, Joerg D.
    DRUG DISCOVERIES AND THERAPEUTICS, 2009, 3 (05): : 200 - 207
  • [34] Differential analysis of DNA microarray gene expression data
    Hatfield, GW
    Hung, SP
    Baldi, P
    MOLECULAR MICROBIOLOGY, 2003, 47 (04) : 871 - 877
  • [35] A custom microarray platform for analysis of microRNA gene expression
    Thomson, JM
    Parker, J
    Perou, CM
    Hammond, SM
    NATURE METHODS, 2004, 1 (01) : 47 - 53
  • [36] AVA: visual analysis of gene expression microarray data
    Zhou, YH
    Liu, JD
    BIOINFORMATICS, 2003, 19 (02) : 293 - 294
  • [37] Analysis of Gene Expression Discretization Techniques in Microarray Biclustering
    Dussaut, J. S.
    Gallo, C. A.
    Carballido, J. A.
    Ponzoni, I.
    BIOINFORMATICS AND BIOMEDICAL ENGINEERING, IWBBIO 2017, PT II, 2017, 10209 : 257 - 266
  • [38] cDNA microarray analysis of global gene expression in sarcomas
    Schofield, D
    Triche, TJ
    CURRENT OPINION IN ONCOLOGY, 2002, 14 (04) : 406 - 411
  • [39] Microarray gene expression analysis of human adrenocortical tumours
    Soon, P. S. H.
    Sidhu, S. B.
    Benn, D. E.
    Gill, A.
    Clarkson, A.
    Robinson, P. G.
    McDonald, K. L.
    EJC SUPPLEMENTS, 2007, 5 (04): : 91 - 91
  • [40] Microarray technology and gene expression analysis for the study of angiogenesis
    Costouros, NG
    Libutti, SK
    EXPERT OPINION ON BIOLOGICAL THERAPY, 2002, 2 (05) : 545 - 556