Literature DB >> 32993428

Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators.

Atchuta Srinivas Duddu1, Sarthak Sahoo1,2, Souvadra Hati2, Siddharth Jhunjhunwala1, Mohit Kumar Jolly1.   

Abstract

Identifying the design principles of complex regulatory networks driving cellular decision-making remains essential to decode embryonic development as well as enhance cellular reprogramming. A well-studied network motif involved in cellular decision-making is a toggle switch-a set of two opposing transcription factors A and B, each of which is a master regulator of a specific cell fate and can inhibit the activity of the other. A toggle switch can lead to two possible states-(high A, low B) and (low A, high B)-and drives the 'either-or' choice between these two cell fates for a common progenitor cell. However, the principles of coupled toggle switches remain unclear. Here, we investigate the dynamics of three master regulators A, B and C inhibiting each other, thus forming three-coupled toggle switches to form a toggle triad. Our simulations show that this toggle triad can lead to co-existence of cells into three differentiated 'single positive' phenotypes-(high A, low B, low C), (low A, high B, low C) and (low A, low B, high C). Moreover, the hybrid or 'double positive' phenotypes-(high A, high B, low C), (low A, high B, high C) and (high A, low B, high C)-can coexist together with 'single positive' phenotypes. Including self-activation loops on A, B and C can increase the frequency of 'double positive' states. Finally, we apply our results to understand cellular decision-making in terms of differentiation of naive CD4+ T cells into Th1, Th2 and Th17 states, where hybrid Th1/Th2 and hybrid Th1/Th17 cells have been reported in addition to the Th1, Th2 and Th17 ones. Our results offer novel insights into the design principles of a multi-stable network topology and provide a framework for synthetic biology to design tristable systems.

Entities:  

Keywords:  T-cell differentiation; multi-stability; phenotypic plasticity; toggle switch; toggle triad

Mesh:

Substances:

Year:  2020        PMID: 32993428      PMCID: PMC7536062          DOI: 10.1098/rsif.2020.0631

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  66 in total

1.  A synthetic oscillatory network of transcriptional regulators.

Authors:  M B Elowitz; S Leibler
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

2.  Development of genetic circuitry exhibiting toggle switch or oscillatory behavior in Escherichia coli.

Authors:  Mariette R Atkinson; Michael A Savageau; Jesse T Myers; Alexander J Ninfa
Journal:  Cell       Date:  2003-05-30       Impact factor: 41.582

3.  Dynamical properties of the repressilator model.

Authors:  Olguta Buse; Rodrigo Pérez; Alexey Kuznetsov
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2010-06-11

4.  Tuning the range and stability of multiple phenotypic states with coupled positive-negative feedback loops.

Authors:  Maier S Avendaño; Chad Leidy; Juan M Pedraza
Journal:  Nat Commun       Date:  2013       Impact factor: 14.919

5.  Stability and bifurcation analysis of new coupled repressilators in genetic regulatory networks with delays.

Authors:  Guang Ling; Zhi-Hong Guan; Ding-Xin He; Rui-Quan Liao; Xian-He Zhang
Journal:  Neural Netw       Date:  2014-09-16

6.  An engineered epigenetic transgene switch in mammalian cells.

Authors:  Beat P Kramer; Alessandro Usseglio Viretta; Marie Daoud-El-Baba; Dominique Aubel; Wilfried Weber; Martin Fussenegger
Journal:  Nat Biotechnol       Date:  2004-06-06       Impact factor: 54.908

Review 7.  Phenotypic Plasticity and Cell Fate Decisions in Cancer: Insights from Dynamical Systems Theory.

Authors:  Dongya Jia; Mohit Kumar Jolly; Prakash Kulkarni; Herbert Levine
Journal:  Cancers (Basel)       Date:  2017-06-22       Impact factor: 6.639

8.  A synthetic multi-cellular network of coupled self-sustained oscillators.

Authors:  Miguel Fernández-Niño; Daniel Giraldo; Judith Lucia Gomez-Porras; Ingo Dreyer; Andrés Fernando González Barrios; Catalina Arevalo-Ferro
Journal:  PLoS One       Date:  2017-06-29       Impact factor: 3.240

9.  Single-cell Analysis of CAR-T Cell Activation Reveals A Mixed TH1/TH2 Response Independent of Differentiation.

Authors:  Iva Xhangolli; Burak Dura; GeeHee Lee; Dongjoo Kim; Yang Xiao; Rong Fan
Journal:  Genomics Proteomics Bioinformatics       Date:  2019-06-20       Impact factor: 7.691

10.  Hybrid models and biological model reduction with PyDSTool.

Authors:  Robert Clewley
Journal:  PLoS Comput Biol       Date:  2012-08-09       Impact factor: 4.475

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  5 in total

1.  Emergent dynamics of a three-node regulatory network explain phenotypic switching and heterogeneity: a case study of Th1/Th2/Th17 cell differentiation.

Authors:  Atchuta Srinivas Duddu; Sauma Suvra Majumdar; Sarthak Sahoo; Siddharth Jhunjhunwala; Mohit Kumar Jolly
Journal:  Mol Biol Cell       Date:  2022-03-30       Impact factor: 3.612

2.  Topological signatures in regulatory network enable phenotypic heterogeneity in small cell lung cancer.

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Journal:  Elife       Date:  2021-03-17       Impact factor: 8.140

3.  Modular, robust, and extendible multicellular circuit design in yeast.

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Journal:  Elife       Date:  2022-03-21       Impact factor: 8.713

4.  Dynamics of hepatocyte-cholangiocyte cell-fate decisions during liver development and regeneration.

Authors:  Sarthak Sahoo; Ashutosh Mishra; Anna Mae Diehl; Mohit Kumar Jolly
Journal:  iScience       Date:  2022-08-18

5.  A robust method for designing multistable systems by embedding bistable subsystems.

Authors:  Siyuan Wu; Tianshou Zhou; Tianhai Tian
Journal:  NPJ Syst Biol Appl       Date:  2022-03-25
  5 in total

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