Systems biology of innate immunity

Jesper Tegnér*, Roland Nilsson, Vladimir B. Bajic, Johan Björkegren, Timothy Ravasi

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Systems Biology has emerged as an exciting research approach in molecular biology and functional genomics that involves a systematic use of genomic, proteomic, and metabolomic technologies for the construction of network-based models of biological processes. These endeavors, collectively referred to as systems biology establish a paradigm by which to systematically interrogate, model, and iteratively refine our knowledge of the regulatory events within a cell. Here, we present a new systems approach, integrating DNA and transcript expression information, specifically designed to identify transcriptional networks governing the macrophage immune response to lipopolysaccharide (LPS). Using this approach, we are not only able to infer a global macrophage transcriptional network, but also time-specific sub-networks that are dynamically active across the LPS response. We believe that our system biological approach could be useful for identifying other complex networks mediating immunological responses.

Original languageEnglish (US)
Pages (from-to)105-109
Number of pages5
JournalCellular Immunology
Volume244
Issue number2
DOIs
StatePublished - Dec 2006
Externally publishedYes

Bibliographical note

Funding Information:
This research has been supported by Research Grant for the Scripps NeuroAIDS Preclinical Studies Center (SNAPS) from the National Institute of Mental Health (NIMH), Grant No. 2P30MH062261-07 to T.R. and the Ph.D. programme in medical bioinformatics (R.N.), Swedish Research Council (J.B.), Clinical Gene Networks AB and Linköping University (J.T.).

Keywords

  • Dynamics
  • Genome
  • Innate immunity
  • Macrophages
  • Networks
  • Protein-protein interactions
  • Regulatory circuits
  • Systems biology
  • Transcriptional regulation

ASJC Scopus subject areas

  • Immunology

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