Original Article

The Pharmacogenomics Journal (2005) 5, 305–323. doi:10.1038/sj.tpj.6500325; published online 26 July 2005

Pharmacologic profiling of transcriptional targets deciphers promoter logic

W J Freebern1, C M Haggerty1, I Montano1, M C McNutt1, I Collins1, A Graham1, G V R Chandramouli1, D H Stewart2, H A Biebuyck2, D D Taub3 and K Gardner1

  1. 1Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, The Advanced Technology Center, Bethesda, MD, USA
  2. 2Meso Scale Discovery, Gaithersburg, MD, USA
  3. 3Clinical Immunology Section, Laboratory of Immunology, Gerontology Research Center, National Institute on Aging, Baltimore, MD, USA

Correspondence: Dr K Gardner, Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, The Advanced Technology Center, Room 133, 8717 Grovemont Circle, Bethesda, MD 20892-4605, USA. Tel: +1 301 496 1055; Fax: +1 301 435 7558; E-mail: gardnerk@mail.nih.gov

Received 23 February 2005; Revised 17 May 2005; Accepted 8 June 2005; Published online 26 July 2005.

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Abstract

The blueprint for cellular diversity and response to environmental change is encoded in the cis-acting regulatory sequences of most genes. Deciphering this 'cis-regulatory code' requires multivariate data sets that examine how these regions coordinate transcription in response to diverse environmental stimuli and therapeutic treatments. We describe a transcriptional approach that profiles the activation of multiple transcriptional targets against combinatorial arrays of therapeutic and signal transducing agents. Application of this approach demonstrates how cis-element composition and promoter context combine to influence transcription downstream of mitogen-induced signaling networks. Computational dissection of these transcriptional profiles in activated T cells uncovers a novel regulatory synergy between IGF-1 and CD28 costimulation that modulates NF-kappaB and AP1 pathways through signaling cascades sensitive to cyclosporin A and wortmannin. This approach provides a broader view of the hierarchical signal integration governing gene expression and will facilitate a practical design of combinatorial therapeutic strategies for exploiting critical control points in transcriptional regulation.

Keywords:

transcription regulation, signal transduction, transcriptional profiling, IGF-1, Multivariate analysis, promoter structure, Cyclosporin A

Abbreviations:

CSA, cyclosporin A; IL2, interleukin 2; NFAT/AP1, nuclear factor of activated T cells; PC, principal component; PCA, principal component analysis; PHA, phytohemagglutinin; PI3, phosphatidyl-inositol-3 phosphate; PMA, phorbol myristate acetate; SOM, self-organizing maps

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