摘要
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 dynamically simulated on the energy ladder.These two processes can be metaphorized as the motion of descending and ascending ladders,respectively.We further deciphered the dynamics of the gene regulatory network(GRN)for driving cell fate transition.Our study proposes a new energy indicator to quantitatively characterize cellular differentiation potency without prior knowledge,facilitating the further exploration of the potential mechanism of cellular plasticity.
出处
《Research》
SCIE
EI
CSCD
2023年第4期619-629,共11页
研究（英文）
基金
This work was supported by the National Nature Scientific Foundation of China(62061034 and 62171241)
the key technology research program of Inner Mongolia Autonomous Region(2021GG0398)
the Science and Technology Major Project of Inner Mongolia Autonomous Region of China to the State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock(2019ZD031).
