Investigating Wnt signaling during human nephron commitment and patterning. Aims: To use gene edited stem cell lines that display cell location, identity and cell state to map human kidney tissue formation in the laboratory. By monitoring how each cell responds to those around it across time and space, we will for the first time map the formation of kidney tissue in the dish.
Significance: Understanding how stem cells form a tissue will help us to improve and control the process. This is key to ....Investigating Wnt signaling during human nephron commitment and patterning. Aims: To use gene edited stem cell lines that display cell location, identity and cell state to map human kidney tissue formation in the laboratory. By monitoring how each cell responds to those around it across time and space, we will for the first time map the formation of kidney tissue in the dish.
Significance: Understanding how stem cells form a tissue will help us to improve and control the process. This is key to advancing tissue engineering.
Expected outcomes: The proposal will pioneer state-of-the-art imaging, gene editing and machine learning approaches, generating models of human development that are currently unavailable.
Benefits: This understanding will guide the development of novel approaches to tissue engineering.
Read moreRead less
Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) tra ....Improving predictions of species distribution dynamics. This project aims to mainstream methods for improved prediction of species distributions under the impacts of environmental change. This is important because these predictions are commonly used to guide environmental decisions, but the standard modelling methods used to produce them have critical limitations. This project intends to (i) make key statistical developments to methods for modelling dynamics of species distributions and (ii) translate the methods into practice, through guidelines, tools and training, engagement with users and case studies addressing species of current concern. This should provide significant benefits because it will enable better decisions and more effective and cost-efficient management actions.Read moreRead less