Gene expression dynamics in the macrophage exhibit criticality

Matti Nykter, Nathan D. Price, Maximino Aldana, Stephen A. Ramsey, Stuart A. Kauffman, Leroy E. Hood, Olli Yli-Harja, Ilya Shmulevich

Research output: Contribution to journalArticlepeer-review

Abstract

Cells are dynamical systems of biomolecular interactions that process information from their environment to mount diverse yet specific responses. A key property of many self-organized systems is that of criticality: a state of a system in which, on average, perturbations are neither dampened nor amplified, but are propagated over long temporal or spatial scales. Criticality enables the coordination of complex macroscopic behaviors that strike an optimal balance between stability and adaptability. It has long been hypothesized that biological systems are critical. Here, we address this hypothesis experimentally for system-wide gene expression dynamics in the macrophage. To this end, we have developed a method, based on algorithmic information theory, to assess macrophage criticality, and we have validated the method on networks with known properties. Using global gene expression data from macrophages stimulated with a variety of Toll-like receptor agonists, we found that macrophage dynamics are indeed critical, providing the most compelling evidence to date for this general principle of dynamics in biological systems.

Original languageEnglish (US)
Pages (from-to)1897-1900
Number of pages4
JournalProceedings of the National Academy of Sciences of the United States of America
Volume105
Issue number6
DOIs
StatePublished - Feb 12 2008
Externally publishedYes

Keywords

  • Complex systems
  • Information theory
  • Normalized compression distance

ASJC Scopus subject areas

  • General

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