Spatial biology of Ising-like synthetic genetic networks.

ABSTRACT:

Background

Understanding how spatial patterns of gene expression emerge from the interaction of individual gene networks is a fundamental challenge in biology. Developing a synthetic experimental system with a common theoretical framework that captures the emergence of short- and long-range spatial correlations (and anti-correlations) from interacting gene networks could serve to uncover generic scaling properties of these ubiquitous phenomena.

Results

Here, we combine synthetic biology, statistical mechanics models, and computational simulations to study the spatial behavior of synthetic gene networks (SGNs) in Escherichia coli quasi-2D colonies growing on hard agar surfaces. Guided by the combined mechanisms of the contact process lattice simulation and two-dimensional Isi

SUBMITTER: Simpson K 

PROVIDER: S-EPMC10478219 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature