• University of Leeds Featured PhD Programmes
  • University of Leeds Featured PhD Programmes
  • University of Mannheim Featured PhD Programmes
  • University of Glasgow Featured PhD Programmes
  • London School of Economics and Political Science Featured PhD Programmes
  • Carlos III Health Institute Featured PhD Programmes
  • University of Leeds Featured PhD Programmes
Wellcome Trust Featured PhD Programmes
University of Westminster Featured PhD Programmes
King’s College London Featured PhD Programmes
Queen’s University Belfast Featured PhD Programmes
University of Manchester Featured PhD Programmes

Mathematical modelling of immune signalling networks

  • Full or part time
  • Application Deadline
    Applications accepted all year round
  • Self-Funded PhD Students Only
    Self-Funded PhD Students Only

Project Description

The overall immune response to pathogens emerges from complex, noisy and nonlinear interactions between immune cells and underlying regulatory signalling networks. A hallmark of this process is the ability of cells to propagate inflammatory cues by releasing small proteins called cytokines. This creates regulatory feedback that allows coordinating inflammatory signalling, however it has to be very carefully controlled to avoid out-of-control responses.

We previously used mathematical modelling and live-cell imaging to quantitatively characterize oscillations of the Nuclear Factor kappa B transcription factors, a key regulator of cytokine expression during inflammation (Paszek et al., PNAS, 2010, Ashall et, Science, 2009). We made exiting prediction that NF-κB-mediated signalling may be controlled through subtle changes in single cell dynamics and heterogeneity between individual cells.

The aim of this project is to develop a better understanding how immune cells use systems like NF-kB to encode noisy inflammatory cues and relay those to other cells. The project will involve differential equations and stochastic simulations to evaluate the role of molecular noise in those processes.

We use a multidisciplinary system biology approach involving mathematical modelling, molecular cell biology and immunology. The highlight of the project is use of the state-of-the-art live-cell imaging data collected in the group to gain unique insights into single-cell behaviour.

This is an opportunity for an ambitious student with theoretical background to work in a stimulating interdisciplinary environment. Training in computational modeling, live-cell imaging (including microfluidic approaches) and biology will be provided to fit student’s interests.

Funding Notes

This project has a Band 1 fee. Details of our different fee bands can be found on our website. For information on how to apply for this project, please visit the Faculty of Biology, Medicine and Health Doctoral Academy website. Informal enquiries may be made directly to the primary supervisor.


Paszek P., S. Ryan, L. Ashall, K. Sillitoe, C.V. Harper, D.G. Spiller, D.A. Rand, and M.R.H White (2010). Population Robustness Arising From Cellular Heterogeneity. Proceedings of the National Academy of Sciences USA, 107: 11644-11649

Ashall L., *C.A. Horton, *D.E. Nelson, *P. Paszek, C.V. Harper, K. Sillitoe, S. Ryan, D.G. Spiller, J.F. Unitt, D.S. Broomhead, D.B. Kell, D.A. Rand, V. Sée, and M.R.H. White (2009) Pulsatile stimulation determines timing and specificity of NF-κB-dependent transcription. Science, 324: 242-246. * Joint first authors

Email Now

Insert previous message below for editing? 
You haven’t included a message. Providing a specific message means universities will take your enquiry more seriously and helps them provide the information you need.
Why not add a message here
* required field
Send a copy to me for my own records.
Email Sent

Share this page:

Cookie Policy    X