Developmental Tuning of Turing Patterning

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The overall objective of this programme of work is to understand how a pattern forming system can be modulated to yield different outputs in different body regions. We will map signalling pathway activities by assessing pathway targets in different regions of the skin and determine growth parameters across the crucial stages of embryonic mouse hair follicle patterning. We will go on to modulate BMP, WNT and retinoic acid signalling on different parts of the body and assess pattern output, then determine the interactions between these pathways at the molecular level.

We will extract spatial placode distributions from experimental data, together with summary measures and statistics, such as the mean and variance of the inter-placode distance, i.e. the effective pattern wavelength. In turn this will allow comparison with detailed simulation and the estimation of the parameters required to match observation and theory, together with systematically classifying how close theory and experiment actually are, for hypothesis testing and also hypothesis generation and modelling development, for instance with regard to the understanding and modelling representation of the impact of retinoic acid. This can also be pursued on a regional basis to assess whether simple modulation can explain the spatial variation in different regions of the skin. Such comparisons will require systematic tools for data capture, which extract the evolution of the growing skin surface and capture the spatial distribution of placodes on this skin. Similarly, the systematic comparison of theory and observation will require the use of tools such as random forests and approximate Bayesian computation whilst the simulations will entail the solution of systems of reaction diffusion equations on evolving curved surfaces.

This project will illuminate mechanisms of embryonic development and pattern formation, achieved by integrating tissue growth and intercellular signalling mechanisms within a rigorous mathematical framework.

Future practical implications arising from this work lie in understanding how specific signalling pathways are integrated to control appropriate organ development. Retinoic acid is already used as a dermatological treatment, for example in treatment of acne, and the EDA protein is in phase 2 clinical trial for treatment of the congenital condition hypohidrotic ectodermal dysplasia, caused by mutation of the gene encoding this protein (Edimer Pharmaceuticals). The interactions between these pathways and the others studied will help guide the practical use of these agents in therapies. The recent ability to target the EDA signalling pathway using newly developed reagents enables this pathway to be modulated, potentially including the emerging ability to use stimulators of this pathway in adult tissue regeneration of degenerated glandular structures, based on recent findings (e.g. Pharmacological activation of the EDA/EDAR signaling pathway restores salivary gland function following radiation-induced damage. Hill G, Headon D, Harris ZI, Huttner K, Limesand KH. PLoS One. 2014 9:e112840.). DH has funding from Edimer Pharmaceuticals to examine the potential of this pathway for therapeutic use in pre-clinical models. Growth of hair in adult skin is based on the action of the same signals as those operating in embryonic development to order the locations of hair primordia, thus industry impact in the area of identifying means to modulate hair growth through targetable molecular pathways is a later outcome from these studies. Such developments also have prospective impact in animal husbandry for agriculture, for instance enhancing sheep wool density to improve yield or reducing feather density to facilitate heat stress resistance in hotter climates.

In addition, the specific signalling interactions under study - those of the EDA, WNT, BMP and retinoic acid pathways - are relevant to the development of many vertebrate organs and will stimulate studies regarding the integration of these signals in a range of tissues. For instance, WNT signalling is a prime target for numerous cancer interventions, and thus its signalling, and how this might be quantitatively modelled, is of interest outside academia in the oncology research supporting the drug discovery programmes of large Pharmaceutical companies. One of us (EAG) has found parameter estimation a major challenge in work recently initiated with F. Hoffman LaRoche Ltd [via an industrially sponsored student at the pre-publication phase of her DPhil] exploring the modelling of a signalling pathway. Hence developing tools, which will be made freely available, for exploiting spatial data in parameter estimation, hypothesis testing and generation also has the prospect of impact not only in developmental biology but also in industrially focussed research. Furthermore, this prospective impact is not just scientific but also ethical, as it develops our ability to maximise the use of spatial data from animal experiments, noting that advances in imaging entail that spatial data is often readily available.

Finally, the general public has an interest in the beautiful patterns seen in nature and in the origins of these patterns. The public impact of this project upon the public will be enhanced by the 'real-world' nature of the model system studied; the distribution of hair of different types across the body. This model is easily appreciated by a lay audience and, combined with the striking images produced in studies of spatial patterning, this area is ideal for public engagement activities. In this regard the use of cultured skin tissues and computer simulation where appropriate in the project, rather than experimentation on intact animals, will aid public engagement and acceptance.