Genetic networks with canalyzing Boolean rules are always stable

Forskningsoutput: TidskriftsbidragArtikel i vetenskaplig tidskrift

Abstract

We determine stability and attractor properties of random Boolean genetic network models with canalyzing rules for a variety of architectures. For all power law, exponential, and flat in-degree distributions, we find that the networks are dynamically stable. Furthermore, for architectures with few inputs per node, the dynamics of the networks is close to critical. In addition, the fraction of genes that are active decreases with the number of inputs per node. These results are based upon investigating ensembles of networks using analytical methods. Also, for different in-degree distributions, the numbers of fixed points and cycles are calculated, with results intuitively consistent with stability analysis; fewer inputs per node implies more cycles, and vice versa. There are hints that genetic networks acquire broader degree distributions with evolution, and hence our results indicate that for single cells, the dynamics should become more stable with evolution. However, such an effect is very likely compensated for by multicellular dynamics, because one expects less stability when interactions among cells are included. We verify this by simulations of a simple model for interactions among cells.

Detaljer

Författare
Enheter & grupper
Forskningsområden

Ämnesklassifikation (UKÄ) – OBLIGATORISK

  • Biofysik
  • Zoologi
Originalspråkengelska
Sidor (från-till)17102-17107
TidskriftProceedings of the National Academy of Sciences
Volym101
Utgivningsnummer49
StatusPublished - 2004
PublikationskategoriForskning
Peer review utfördJa

Relaterad forskningsoutput

Samuelsson, B., 2006, Department of Theoretical Physics, Lund University. 117 s.

Forskningsoutput: AvhandlingDoktorsavhandling (sammanläggning)

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