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
- 1Laboratory of Hematology & Transfusion Medicine, University of Patras, Patras, Greece
- 2Laboratory of Medical Physics, University of Patras, Patras, Greece
- 3Laboratory of Microbiology, University of Patras, Patras, Greece
- 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.
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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