Non-genetic heterogeneity is key to cellular decisions, as even genetically identical cells respond in very different ways to the same external stimulus, e.g., during cell differentiation or therapeutic treatment of disease. Strong heterogeneity is typically already observed at the level of signaling pathways that are the first sensors of external inputs and transmit information to the nucleus where decisions are made. Since heterogeneity arises from random fluctuations of cellular components, mathematical models are required to fully describe the phenomenon and to understand the dynamics of heterogeneous cell populations. Here, we review the experimental and theoretical literature on cellular signaling heterogeneity, with special focus on the TGFb/SMAD signaling pathway.
@article{arxiv.2007.09093,
title = {Modelling cellular signalling variability based on single-cell data: the TGFb/SMAD signaling pathway},
author = {Uddipan Sarma and Lorenz Hexemer and Uchenna Alex Anyaegbunam and Stefan Legewie},
journal= {arXiv preprint arXiv:2007.09093},
year = {2020}
}