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
- 1Laboratory of Receptor Biology and Gene Expression, National Cancer Institute, The Advanced Technology Center, Bethesda, MD, USA
- 2Meso Scale Discovery, Gaithersburg, MD, USA
- 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.
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-
B 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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