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• W3204408559 abstract "The Waddington epigenetic landscape has become an iconic representation of the cellular differentiation process. Recent single-cell transcriptomic data provide new opportunities for quantifying this originally conceptual tool, offering insight into the gene regulatory networks underlying cellular development. While many methods for constructing the landscape have been proposed, by far the most commonly employed approach is based on computing the landscape as the negative logarithm of the steady-state probability distribution. Here, we use simple models to highlight the complexities and limitations that arise when reconstructing the potential landscape in the presence of stochastic fluctuations. We consider how the landscape changes in accordance with different stochastic systems and show that it is the subtle interplay between the deterministic and stochastic components of the system that ultimately shapes the landscape. We further discuss how the presence of noise has important implications for the identifiability of the regulatory dynamics from experimental data. A record of this paper's transparent peer review process is included in the supplemental information." @default.
• W3204408559 created "2021-10-11" @default.
• W3204408559 creator A5042259488 @default.
• W3204408559 creator A5042789303 @default.
• W3204408559 creator A5043246967 @default.
• W3204408559 date "2022-01-01" @default.
• W3204408559 modified "2023-10-16" @default.
• W3204408559 title "Noise distorts the epigenetic landscape and shapes cell-fate decisions" @default.
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