Integrated approaches to uncovering transcription regulatory networks in mammalian cells

Kai Tan*, Jesper Tegner, Timothy Ravasi

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

33 Scopus citations


Integrative systems biology has emerged as an exciting research approach in molecular biology and functional genomics that involves the integration of genomics, proteomics, and metabolomics datasets. These endeavors establish a systematic paradigm by which to interrogate, model, and iteratively refine our knowledge of the regulatory events within a cell. Here we review the latest technologies available to collect high-throughput measurements of a cellular state as well as the most successful methods for the integration and interrogation of these measurements. In particular we will focus on methods available to infer transcription regulatory networks in mammals.

Original languageEnglish (US)
Pages (from-to)219-231
Number of pages13
Issue number3
StatePublished - Mar 2008
Externally publishedYes

Bibliographical note

Funding Information:
K.T. was funded by a postdoctoral fellowship from IBM Corp., through its Institutes of Innovation Program. J.T. was supported by Clinical Gene Networks AB and Linköping University. T.R. was supported by National Institute of Mental Health Grant 2P30MH062261-07.


  • Bioinformatics
  • Cellular networks
  • ChIp-chip
  • Dynamics
  • Gene expression
  • Gene networks
  • Genomics
  • Networks
  • Personalized medicine
  • Protein interaction maps
  • Protein-protein interaction networks
  • Systems biology
  • Systems medicine
  • Transcriptional networks

ASJC Scopus subject areas

  • Genetics


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