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 journalArticlepeer-review

29 Scopus citations

Abstract

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
JournalGenomics
Volume91
Issue number3
DOIs
StatePublished - Mar 1 2008

Keywords

  • 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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