title: Feedback, receptor clustering, and receptor restriction to single cells yield large Turing spaces for ligand-receptor-based Turing models.
abstract: Turing mechanisms can yield a large variety of patterns from noisy, homogenous initial conditions and have been proposed as patterning mechanism for many developmental processes. However, the molecular components that give rise to Turing patterns have remained elusive, and the small size of the parameter space that permits Turing patterns to emerge makes it difficult to explain how Turing patterns could evolve. We have recently shown that Turing patterns can be obtained with a single ligand if the ligand-receptor interaction is taken into account. Here we show that the general properties of ligand-receptor systems result in very large Turing spaces. Thus, the restriction of receptors to single cells, negative feedbacks, regulatory interactions among different ligand-receptor systems, and the clustering of receptors on the cell surface all greatly enlarge the Turing space. We further show that the feedbacks that occur in the FGF10-SHH network that controls lung branching morphogenesis are sufficient to result in large Turing spaces. We conclude that the cellular restriction of receptors provides a mechanism to sufficiently increase the size of the Turing space to make the evolution of Turing patterns likely. Additional feedbacks may then have further enlarged the Turing space. Given their robustness and flexibility, we propose that receptor-ligand-based Turing mechanisms present a general mechanism for patterning in biology.
authors.affiliation: Department for Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland.
authors.forename: Tamás
authors.initials: T
authors.lastname: Kurics
authors.affiliation: Department for Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland and Swiss Institute of Bioinformatics (SIB), Switzerland.
authors.forename: Denis
authors.initials: D
authors.lastname: Menshykau
authors.affiliation: Department for Biosystems Science and Engineering, ETH Zurich, Mattenstrasse 26, 4058 Basel, Switzerland and Swiss Institute of Bioinformatics (SIB), Switzerland.
authors.forename: Dagmar
authors.initials: D
authors.lastname: Iber
mesh_terms: D025461:Feedback, Physiological; D051526:Fibroblast Growth Factor 10 / Q000378:metabolism; D053823:Hedgehog Proteins / Q000378:metabolism; D008024:Ligands; D008168:Lung / Q000033:anatomy & histology / Q000378:metabolism; D008954:Models, Biological; D011485:Protein Binding; D011956:Receptors, Cell Surface / Q000378:metabolism*
chemical_list: D051526:Fibroblast Growth Factor 10; D053823:Hedgehog Proteins; D008024:Ligands; D011956:Receptors, Cell Surface