Imaging cell decision making during development
Posted by Jonathan Chubb, on 11 May 2023
Job type: Post-doc
Location: University College London
Closing Date: 26 May 2023
Our goal is to understand how cells make decisions about their identity during development. Despite the intense activity in the field of developmental biology for many decades, our understanding of how cells make decisions is decidedly limited. Models tend to fall into two categories— instructive or permissive. Instructive models emphasise the external or inherited trigger, giving the cell no choice. Permissive models view the cell as waiting for some event that triggers a decision already made, often incorporating a central “noise plus feedback” element. These models can be useful in the limited number of apparently simple contexts in which cell fates appear to be determined by a limited number of components, yet in most systems, which are neither wholly instructive nor permissive, and often depend on a highly complex set of interactions between the cell and its environment, these opposing models lack utility.
To allow a deeper understanding of cell decision making, and the generation of more useful conceptual frameworks, we have developed and implemented a range of technologies- with the view that to understand the decision of cell requires monitoring a broad range of regulatory features of single cells, as they differentiate. These approaches encompass both imaging and transcriptomic methods for monitoring the signalling and gene expression dynamics of single cells. In particular, we use imaging to directly observe the bursts of activity of individual genes in living cells (see movie below). This approach provides a real time readout of the gene expression decisions of the cell, in parallel with other features of the cells and their environment. We combine these techniques with detailed quantitative analysis of the data, and use modelling and molecular genetics to refine our hypotheses.
Salary: £39,508 - £47,355
Start date: 1 September 2023
Closing Date: 26 May 2023
Scientific fields: Quantitative biology and modelling, Gene regulation, Computational and systems biology, Cell fate control and differentiation
Model systems:
Duration: Fixed term
Minimum qualifications: PhD in biology, physics, maths, engineering or computer science