Skip to main content
Log in

Emergent properties of coupled bistable switches

  • Published:
Journal of Biosciences Aims and scope Submit manuscript

Abstract

Understanding the dynamical hallmarks of network motifs is one of the fundamental aspects of systems biology. Positive feedback loops constituting one or two nodes – self-activation, toggle switch, and double activation loops – are the commonly observed motifs in regulatory networks underlying cell-fate decision systems. Their individual dynamics are well studied; they are capable of exhibiting bistability. However, studies across various biological systems suggest that such positive feedback loops are interconnected with one another, and design principles of coupled bistable motifs remain unclear. What happens to the bistability or multistability traits and the phenotypic space (collection of phenotypes exhibited by a system) due to the couplings? In this study, we explore a set of such interactions using discrete and continuous simulation methods. Our results suggest that the most frequent states in coupled networks follow the ‘rules’ within a motif (double activation, toggle switch) and those across the two motifs in terms of how the two motifs have been coupled. Moreover, ‘hybrid’ states can be observed, too, where one of the above-mentioned ‘rules’ can be compromised, leading to a more diverse phenotypic repertoire. Furthermore, adding direct and indirect self-activations to these coupled networks can increase the frequency of multistability. Thus, our observations revealed specific dynamical traits exhibited by various coupled bistable motifs.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Figure 1
Figure 2
Figure 3
Figure 4
Figure 5

Similar content being viewed by others

References

  • Alon U 2007 Network motifs: theory and experimental approaches. Nat. Rev. Genet. 8 450–461

    Article  CAS  Google Scholar 

  • Angeli D, Ferrell JE and Sontag ED 2004 Detection of multistability, bifurcations, and hysteresis in a large class of biological positive-feedback systems. Proc. Natl. Acad. Sci. USA 101 1822–1827

    Article  CAS  Google Scholar 

  • Cai S, Zhou P and Liu Z 2013 Functional characteristics of a double negative feedback loop mediated by microRNAs. Cogn. Neurodyn. 7 417–429

    Article  Google Scholar 

  • Chang DE, Leung S, Atkinson MR, et al. 2010 Building biological memory by linking positive feedback loops. Proc. Natl. Acad. Sci. USA 107 175–180

    Article  CAS  Google Scholar 

  • Duddu AS, Sahoo S, Hati S, Jhunjhunwala S and Jolly MK 2020 Multi-stability in cellular differentiation enabled by a network of three mutually repressing master regulators. J. R. Soc. Interface 17 20200631

    Article  CAS  Google Scholar 

  • Ferrell JE 2002 Self-perpetuating states in signal transduction: Positive feedback, double-negative feedback and bistability. Curr. Opin. Cell Biol. 14 140–148

    Article  CAS  Google Scholar 

  • Font-Clos F, Zapperi S and Porta CAM La 2018 Topography of epithelial–mesenchymal plasticity. Proc. Natl. Acad. Sci. USA 115 5902–5907

  • Gardner TS, Cantor CR and Collins JJ 2000 Construction of a genetic toggle switch in Escherichia coli. Nature 403 339–342

    Article  CAS  Google Scholar 

  • Ghaffarizadeh A, Flann NS and Podgorski GJ 2014 Multistable switches and their role in cellular differentiation networks. BMC Bioinform. 15 S7

    Article  Google Scholar 

  • Graham TGW, Tabei SMA, Dinner AR and Rebay I 2010 Modeling bistable cell-fate choices in the Drosophila eye: Qualitative and quantitative perspectives. Development 137 2265–2278

    Article  CAS  Google Scholar 

  • Guantes R and Poyatos JF 2008 Multistable decision switches for flexible control of epigenetic differentiation. PLoS Comput. Biol. 4 e1000235

    Article  Google Scholar 

  • Hari K, Sabuwala B, Subramani BV, et al. 2020 Identifying inhibitors of epithelial-mesenchymal plasticity using a network topology based approach. NPJ Syst. Biol. Appl. 6 15

    Article  Google Scholar 

  • Hong T, Watanabe K, Ta CH, et al. 2015 Mutual inhibitory circuit governs bidirectional and multi-step transition between epithelial and mesenchymal states. PLoS Comput. Biol. 11 e1004569

    Article  Google Scholar 

  • Hsieh WT, Tzeng KR, Ciou JS, et al. 2015 Transcription factor and microRNA-regulated network motifs for cancer and signal transduction networks. BMC Syst. Biol. 9 S5

    Article  Google Scholar 

  • Huang B, Lu M, Jia D, et al. 2017 Interrogating the topological robustness of gene regulatory circuits by randomization. PLoS Comput. Biol. 13 e1005456

    Article  Google Scholar 

  • Jia D, Jolly MK, Harrison W, et al. 2017 Operating principles of tristable circuits regulating cellular differentiation. Phys. Biol. 14 035007

    Article  Google Scholar 

  • Jolly MK, Jia D, Barreto M, et al. 2015 Coupling the modules of EMT and stemness: A tunable “stemness window” model. Oncotarget 6 25161–25174

    Article  Google Scholar 

  • Kim J-R, Yoon Y and Cho K-H 2008 Coupled feedback loops form dynamic motifs of cellular networks. Biophys. J. 94 359–365

    Article  CAS  Google Scholar 

  • Kwon YK and Cho KH 2007 Boolean dynamics of biological networks with multiple coupled feedback loops Biophys. J. 92 2975–2981

  • Kwon Y-K and Cho K-H 2008 Coherent coupling of feedback loops: a design principle of cell signaling networks. Bioinformatics 24 1926–1932

    Article  CAS  Google Scholar 

  • Laurent M and Kellershohn N 1999 Multistability: A major means of differentiation and evolution in biological systems. Trends Biochem. Sci. 24 418–422

    Article  CAS  Google Scholar 

  • Lin J 1991 Divergence measures based on the Shannon entropy. IEEE Trans. Inf. Theory 37 https://doi.org/10.1109/18.61115

  • Lu M, Jolly MK, Gomoto R, et al. 2013a Tristability in cancer-associated microRNA-TF chimera toggle switch. J. Phys. Chem. B 117 13164–13174

    Article  CAS  Google Scholar 

  • Lu M, Jolly MK, Levine H, Onuchic JN and Ben-Jacob E 2013b MicroRNA-based regulation of epithelial-hybrid-mesenchymal fate determination. Proc. Natl. Acad. Sci. USA 110 18144–18149

    Article  CAS  Google Scholar 

  • Macía J, Widder S and Solé R 2009 Why are cellular switches Boolean? General conditions for multistable genetic circuits. J. Theor. Biol. 261 126–135

    Article  Google Scholar 

  • Mitrophanov AY and Groisman EA 2008 Positive feedback in cellular control systems. BioEssays 30 542–555

    Article  CAS  Google Scholar 

  • Pinho R, Garcia V, Irimia M and Feldman MW 2014 Stability depends on positive autoregulation in Boolean gene regulatory networks. PLoS Comput. Biol. 10 e1003916

    Article  Google Scholar 

  • Pomerening JR 2008 Uncovering mechanisms of bistability in biological systems. Curr. Opin. Biotechnol. 19 381–388

    Article  CAS  Google Scholar 

  • Schwab JD, Kuhlwein SD, Ikonomi N, Kuhl M and Kestler HA 2020 Concepts in Boolean network modeling: What do they all mean? Comput. Struct. Biotechnol. J. 18 571–582

    Article  Google Scholar 

  • Sha Y, Wang S, Zhou P and Nie Q 2020 Inference and multiscale model of epithelial-to-mesenchymal transition via single-cell transcriptomic data. Nucleic Acids Res. 48 9505–9520

    Article  CAS  Google Scholar 

  • Sherekar S and Viswanathan GA 2021 Boolean dynamic modeling of cancer signaling networks: Prognosis, progression, and therapeutics. Comput. Syst. Oncol. 1 e1017

    Google Scholar 

  • Sriram K, Soliman S and Fages F 2009 Dynamics of the interlocked positive feedback loops explaining the robust epigenetic switching in Candida albicans. J. Theor. Biol. 258 71–88

    Article  CAS  Google Scholar 

  • Thomas R 1981 On the relation between the logical structure of systems and their ability to generate multiple steady states or sustained oscillations; in Numerical methods in the study of critical phenomena (Springer) pp 180–93

  • Thomas R, Thieffry D and Kaufman M 1995 Dynamical behaviour of biological regulatory networks-I. Biological role of feedback loops and practical use of the concept of the loop-characteristic state. Bull. Math. Biol. 57 247–276

    Article  CAS  Google Scholar 

  • Tian X-J, Zhang H and Xing J 2013 Coupled reversible and irreversible bistable switches underlying TGFβ-induced epithelial to mesenchymal transition. Biophys. J. 105 1079–1089

    Article  CAS  Google Scholar 

  • Tiwari A and Igoshin OA 2012 Coupling between feedback loops in autoregulatory networks affects bistability range, open-loop gain and switching times. Phys. Biol. 9 055003

    Article  Google Scholar 

  • Tripathi S, Kessler DA and Levine H 2020 Biological networks regulating cell fate choice are minimally frustrated. Phys. Rev. Lett. 125 088101

    Article  CAS  Google Scholar 

  • Wang RS, Saadatpour A and Albert R 2012 Boolean modeling in systems biology: An overview of methodology and applications. Phys. Biol. 9 055001

    Article  Google Scholar 

  • Zhou XJ and Huang S 2011 Understanding gene circuits at cell-fate branch points for rational cell reprogramming. Trends Genet. 27 55–62

    Article  CAS  Google Scholar 

Download references

Funding

MKJ was supported by the Infosys Foundation, Bangalore, and by the Ramanujan Fellowship awarded by Science and Engineering Research Board (SERB), Department of Science and Technology (DST), Government of India (SB/S2/RJN-049/2018). KH and ASD were supported by the Prime Minister’s Research Fellowship, Government of India.

Author information

Authors and Affiliations

Authors

Contributions

MKJ and KH designed research; KH, PH, AG, and VU carried out simulations; KH, PH, and ASD analyzed data; all authors discussed results and prepared the paper; MKJ supervised the research. KH and PH contributed equally and are thus listed as co-first authors; they can switch the sequence of their names in their CVs.

Corresponding author

Correspondence to Mohit Kumar Jolly.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Additional information

Corresponding editor: Ravindra Venkatramani

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary file1 (DOCX 9734 KB)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Hari, K., Harlapur, P., Gopalan, A. et al. Emergent properties of coupled bistable switches. J Biosci 47, 81 (2022). https://doi.org/10.1007/s12038-022-00310-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1007/s12038-022-00310-6

Keywords

Navigation