Outputs (3)

A multiphase multiscale model for nutrient limited tissue growth (2017)
Journal Article

We derive an effective macroscale description for the growth of tissue on a porous scaffold. A multiphase model is employed to describe the tissue dynamics; linearisation to facilitate a multiple-scale homogenisation provides an effective macroscale... Read More about A multiphase multiscale model for nutrient limited tissue growth.

A novel computational model predicts key regulators of chemokine gradient formation in lymph nodes and site-specific roles for CCL19 and ACKR4 (2017)
Journal Article
Jafarnejad, M., Zawieja, D. C., Brook, B. S., Nibbs, R. J., & Moore, J. E. (2017). A novel computational model predicts key regulators of chemokine gradient formation in lymph nodes and site-specific roles for CCL19 and ACKR4. Journal of Immunology, 199(7), 2291-2304. https://doi.org/10.4049/jimmunol.1700377

The chemokine receptor CCR7 drives leukocyte migration into and within lymph nodes (LNs). It is activated by chemokines CCL19 and CCL21, which are scavenged by the atypical chemokine receptor ACKR4. CCR7-dependent navigation is determined by the dist... Read More about A novel computational model predicts key regulators of chemokine gradient formation in lymph nodes and site-specific roles for CCL19 and ACKR4.

Mathematical modelling of cytokines, MMPs and fibronectin fragments in osteoarthritic cartilage (2017)
Journal Article
Baker, M., Brook, B. S., & Owen, M. R. (2017). Mathematical modelling of cytokines, MMPs and fibronectin fragments in osteoarthritic cartilage. Journal of Mathematical Biology, 75(4), 985-1024. https://doi.org/10.1007/s00285-017-1104-y

Osteoarthritis (OA) is a degenerative disease which causes pain and stiffness in joints. OA progresses through excessive degradation of joint cartilage, eventually leading to significant joint degeneration and loss of function. Cytokines, a group of... Read More about Mathematical modelling of cytokines, MMPs and fibronectin fragments in osteoarthritic cartilage.