Full Paper

Genes and Immunity (2004) 5, 16–25. doi:10.1038/sj.gene.6364034

Mining microarray data to identify transcription factors expressed in naïve resting but not activated T lymphocytes

C Argyropoulos1,2, G C Nikiforidis2, M Theodoropoulou1, P Adamopoulos1, S Boubali3, T N Georgakopoulos4, F Paliogianni3, A G Papavassiliou4 and A Mouzaki1

  1. 1Laboratory of Hematology & Transfusion Medicine, University of Patras, Patras, Greece
  2. 2Laboratory of Medical Physics, University of Patras, Patras, Greece
  3. 3Laboratory of Microbiology, University of Patras, Patras, Greece
  4. 4Laboratory of Biological Chemistry, Medical School, University of Patras, Patras, Greece

Correspondence: A Mouzaki, Laboratory of Hematology & Transfusion Medicine, Medical School, University of Patras, Patras GR-26110, Greece. E-mail: mouzaki@med.upatras.gr

Received 14 May 2003; Revised 30 September 2003; Accepted 1 October 2003.

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Abstract

Transcriptional repressors controlling the expression of cytokine genes have been implicated in a variety of physiological and pathological phenomena. An unknown repressor that binds to the distal NFAT element of the interleukin-2 (IL-2) gene promoter in naive T-helper lymphocytes has been implicated in autoimmune phenomena and has emerged as a potentially important factor controlling the latency of HIV-1. The aim of this paper was the identification of this repressor. We resorted to public microarray databases looking for DNA-binding proteins that are present in naïve resting T cells but are downregulated when the cells are activated. A Bayesian data mining statistical analysis uncovered 25 candidate factors. Of the 25, NFAT4 and the oncogene ets-2 bind to the common motif AAGGAG found in the HIV-1 LTR and IL-2 probes. Ets-2 binding site contains the three G's that have been shown to be important for binding of the unknown factor; hence, we considered it the likeliest candidate. Electrophoretic mobility shift assays confirmed cross-reactivity between the unknown repressor and anti-ets-2 antibodies, and cotransfection experiments demonstrated the direct involvement of Ets-2 in silencing the IL-2 promoter. Designing experiments for transcription factor analysis using microarrays and Bayesian statistical methodologies provides a novel way toward elucidation of gene control networks.

Keywords:

IL-2 repressor, microarray, statistical data mining

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