Pharmacologic profiling of transcriptional targets deciphers promoter logic

Pharmacogenomics J. 2005;5(5):305-23. doi: 10.1038/sj.tpj.6500325.

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.

MeSH terms

  • Algorithms
  • CD28 Antigens / biosynthesis*
  • CD28 Antigens / genetics
  • Cells, Cultured
  • Gene Expression Profiling / methods
  • Gene Expression Regulation / genetics*
  • Gene Targeting / methods
  • Genes, Reporter
  • Humans
  • Immunologic Factors / pharmacology
  • Insulin-Like Growth Factor I / biosynthesis
  • Insulin-Like Growth Factor I / genetics
  • Interleukin-2 / biosynthesis
  • Interleukin-2 / genetics
  • Jurkat Cells
  • Lymphocyte Activation / drug effects
  • Mitogens / pharmacology
  • Models, Genetic
  • Oligonucleotide Array Sequence Analysis
  • Principal Component Analysis
  • Promoter Regions, Genetic / drug effects*
  • Signal Transduction / genetics
  • T-Lymphocytes / drug effects
  • T-Lymphocytes / metabolism*
  • Time Factors
  • Transcription, Genetic / drug effects*
  • Transfection

Substances

  • CD28 Antigens
  • Immunologic Factors
  • Interleukin-2
  • Mitogens
  • Insulin-Like Growth Factor I