Biased Eukaryotic Gene Regulation Rules Suggest Genome Behavior Is Near Edge Of Chaos
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Abstract
Introduction The present article reports an analysis of data pertaining to certain biases in the observed patterns of transcription regulation of eukaryotic genes. In the Boolean idealization, a small subset of possible switching rules, the canalizing functions, are highly utilized. To draw inferences about the implications of the observed biases, a statistical ensemble approach was used. Representative networks constructed within the ensemble of networks that satisfy the biases were studied numerically. The consequences indicate that modeled genomic regulatory systems are in a dynamical "ordered" regime, measurably close to a transition to a "chaotic" regime. A number of testable consequences are derived. Section 2 Transcription State Spaces, Trajectories, Attractors, and Boolean Net Models A state space is a mathematical abstraction used to describe a dynamical system consisting of a number of interacting variables. The human genomic regulator