Skip to main content

Research Repository

Advanced Search

Delayed self-regulation and time-dependent chemical drive leads to novel states in epigenetic landscapes

Mitra, M.; Taylor, P.R.; Hutchison, C.J.; McLeish, T.C.B.; Chakrabarti, B.

Delayed self-regulation and time-dependent chemical drive leads to novel states in epigenetic landscapes Thumbnail


Authors

M. Mitra

P.R. Taylor

C.J. Hutchison

T.C.B. McLeish

B. Chakrabarti



Abstract

The epigenetic pathway of a cell as it differentiates from a stem cell state to a mature lineage-committed one has been historically understood in terms of Waddington's landscape, consisting of hills and valleys. The smooth top and valley-strewn bottom of the hill represent their undifferentiated and differentiated states, respectively. Although mathematical ideas rooted in nonlinear dynamics and bifurcation theory have been used to quantify this picture, the importance of time delays arising from multistep chemical reactions or cellular shape transformations have been ignored so far. We argue that this feature is crucial in understanding cell differentiation and explore the role of time delay in a model of a single-gene regulatory circuit. We show that the interplay of time-dependent drive and delay introduces a new regime where the system shows sustained oscillations between the two admissible steady states. We interpret these results in the light of recent perplexing experiments on inducing the pluripotent state in mouse somatic cells. We also comment on how such an oscillatory state can provide a framework for understanding more general feedback circuits in cell development.

Citation

Mitra, M., Taylor, P., Hutchison, C., McLeish, T., & Chakrabarti, B. (2014). Delayed self-regulation and time-dependent chemical drive leads to novel states in epigenetic landscapes. Journal of the Royal Society. Interface, 11(100), https://doi.org/10.1098/rsif.2014.0706

Journal Article Type Article
Publication Date Nov 1, 2014
Deposit Date Jan 14, 2015
Publicly Available Date Jan 19, 2015
Journal Journal of the Royal Society, Interface
Print ISSN 1742-5689
Electronic ISSN 1742-5662
Publisher The Royal Society
Peer Reviewed Peer Reviewed
Volume 11
Issue 100
DOI https://doi.org/10.1098/rsif.2014.0706
Keywords Epigenetics, Mathematical modelling, Gene regulatory networks

Files





You might also like



Downloadable Citations