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Dr Saeed Farjami


Research Fellow in Mathematical Biology of Cell Differentiation

Biography

My publications

Publications

Saeed Farjami, Karen Camargo Sosa, Jonathan H.P. Dawes, Robert N. Kelsh, Andrea Rocco (2021)Novel generic models for differentiating stem cells reveal oscillatory mechanisms, In: Journal of the Royal Society, Interface18(183)20210442 The Royal Society

Understanding cell fate selection remains a central challenge in developmental biology. We present a class of simple yet biologically motivated mathematical models for cell differentiation that generically generate oscillations and hence suggest alternatives to the standard framework based on Waddington's epigenetic landscape. The models allow us to suggest two generic dynamical scenarios that describe the differentiation process. In the first scenario, gradual variation of a single control parameter is responsible for both entering and exiting the oscillatory regime. In the second scenario, two control parameters vary: one responsible for entering, and the other for exiting the oscillatory regime. We analyse the standard repressilator and four variants of it and show the dynamical behaviours associated with each scenario. We present a thorough analysis of the associated bifurcations and argue that gene regulatory networks with these repressilator-like characteristics are promising candidates to describe cell fate selection through an oscillatory process.

SAEED FARJAMI, Karen Camargo Sosa, Jonathan H.P. Dawes, Robert N. Kelsh, ANDREA ROCCO (2021)Novel Generic Oscillatory Mechanisms in Models for Differentiating Stem Cells, In: Journal of the Royal Society interface / the Royal Society The Royal Society

Understanding cell fate selection remains a central challenge in developmental biology. We present a class of simple yet biologically-motivated mathematical models for cell differentiation that generically generate oscillations and hence suggest alternatives to the standard framework based on Waddington's epigenetic landscape. The models allow us to suggest two generic dynamical scenarios that describe the differentiation process. In the first scenario gradual variation of a single control parameter is responsible for both entering and exiting the oscillatory regime. In the second scenario two control parameters vary: one responsible for entering, and the other for exiting the oscillatory regime. We analyse the standard repressilator and four variants of it and show the dynamical behaviours associated with each scenario. We present a thorough analysis of the associated bifurcations and argue that gene regulatory networks with these repressilator-like characteristics are promising candidates to describe cell fate selection through an oscillatory process.

Additional publications