Characterizing Cellular Differentiation Potency and Waddington Landscape via Energy Indicator.
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ABSTRACT: The precise characterization of cellular differentiation potency remains an open question, which is fundamentally important for deciphering the dynamics mechanism related to cell fate transition. We quantitatively evaluated the differentiation potency of different stem cells based on the Hopfield neural network (HNN). The results emphasized that cellular differentiation potency can be approximated by Hopfield energy values. We then profiled the Waddington energy landscape of embryogenesis and cell reprogramming processes. The energy landscape at single-cell resolution further confirmed that cell fate decision is progressively specified in a continuous process. Moreover, the transition of cells from one steady state to another in embryogenesis and cell reprogramming processes was dynamicall
SUBMITTER: Li H
PROVIDER: S-EPMC10202187 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
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