Literature DB >> 35992240

Energy landscape decomposition for cell differentiation with proliferation effect.

Jifan Shi1, Kazuyuki Aihara2, Tiejun Li3, Luonan Chen4.   

Abstract

Complex interactions between genes determine the development and differentiation of cells. We establish a landscape theory for cell differentiation with proliferation effect, in which the developmental process is modeled as a stochastic dynamical system with a birth-death term. We find that two different energy landscapes, denoted U and V, collectively contribute to the establishment of non-equilibrium steady differentiation. The potential U is known as the energy landscape leading to the steady distribution, whose metastable states stand for cell types, while V indicates the differentiation direction from pluripotent to differentiated cells. This interpretation of cell differentiation is different from the previous landscape theory without the proliferation effect. We propose feasible numerical methods and a mean-field approximation for constructing landscapes U and V. Successful applications to typical biological models demonstrate the energy landscape decomposition's validity and reveal biological insights into the considered processes.
© The Author(s) 2022. Published by Oxford University Press on behalf of China Science Publishing & Media Ltd.

Entities:  

Keywords:  cell differentiation; energy landscape; stochastic systems

Year:  2022        PMID: 35992240      PMCID: PMC9385468          DOI: 10.1093/nsr/nwac116

Source DB:  PubMed          Journal:  Natl Sci Rev        ISSN: 2053-714X            Impact factor:   23.178


  31 in total

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2.  Potential and flux landscapes quantify the stability and robustness of budding yeast cell cycle network.

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Journal:  Proc Natl Acad Sci U S A       Date:  2010-04-14       Impact factor: 11.205

3.  Finite temperature string method for the study of rare events.

Authors:  Weinan E; Weiqing Ren; Eric Vanden-Eijnden
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4.  Uncovering the mechanisms of Caenorhabditis elegans ageing from global quantification of the underlying landscape.

Authors:  Lei Zhao; Jin Wang
Journal:  J R Soc Interface       Date:  2016-11       Impact factor: 4.118

5.  Quantifying Waddington's epigenetic landscape: a comparison of single-cell potency measures.

Authors:  Jifan Shi; Andrew E Teschendorff; Weiyan Chen; Luonan Chen; Tiejun Li
Journal:  Brief Bioinform       Date:  2018-10-05       Impact factor: 11.622

6.  Construction of the landscape for multi-stable systems: Potential landscape, quasi-potential, A-type integral and beyond.

Authors:  Peijie Zhou; Tiejun Li
Journal:  J Chem Phys       Date:  2016-03-07       Impact factor: 3.488

7.  Dynamic network biomarker indicates pulmonary metastasis at the tipping point of hepatocellular carcinoma.

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Journal:  Nat Commun       Date:  2018-02-14       Impact factor: 14.919

8.  An enriched network motif family regulates multistep cell fate transitions with restricted reversibility.

Authors:  Yujie Ye; Xin Kang; Jordan Bailey; Chunhe Li; Tian Hong
Journal:  PLoS Comput Biol       Date:  2019-03-07       Impact factor: 4.475

9.  Quantifying pluripotency landscape of cell differentiation from scRNA-seq data by continuous birth-death process.

Authors:  Jifan Shi; Tiejun Li; Luonan Chen; Kazuyuki Aihara
Journal:  PLoS Comput Biol       Date:  2019-11-13       Impact factor: 4.475

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  1 in total

1.  Coevolutionary insights between promoters and transcription factors in the plant and animal kingdoms.

Authors:  Jing-Song Zhang; Hai-Quan Wang; Jie Xia; Kun Sha; Shu-Tao He; Hao Dai; Xiao-Hu Hao; Yi-Wei Zhou; Qiu Wang; Ke-Ke Ding; Zhang-Lei Ju; Wen Wang; Luo-Nan Chen
Journal:  Zool Res       Date:  2022-09-18
  1 in total

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