Synthetic designs regulating cellular transitions: Fine-tuning of switches and oscillators

Abstract Biological circuits are responsible for transitions between cellular states in a timely fashion. For example, stem cells switch from an undifferentiated (unstable) state to a differentiated (stable) state. Conversely, cell cycle and circadian clocks are completed through transitions among successive (stable) states, i.e. waves, with (unstable) states switching them at definite timing. These transitions irreversibly determine the biological response or fate of a cell, to commit to reversible switches or to generate periodic oscillations of its state. Here we review synthetic circuits that, in silico and in vivo, allow a cell to 'make a decision', i.e. to select which state to reach, among multiple ones available, through definite network designs. Specifically, we propose and discuss the designs, and their constituents motifs, which we consider to be more prone to reprogram cell behaviour, and whose parameters can be fine-tuned through systems biology and tested experimentally through Synthetic Biology. For these designs, exploration of the parameter space and of the influence of (external) cellular signals – which modulate circuit parameters – allows for the prediction of the circuit's response and its consequent impact on cell fate.

[1]  Balaram Vishnu Subramani,et al.  Identifying inhibitors of epithelial–mesenchymal plasticity using a network topology-based approach , 2020, npj Systems Biology and Applications.

[2]  Hans V. Westerhoff,et al.  Clb3-centered regulations are recurrent across distinct parameter regions in minimal autonomous cell cycle oscillator designs , 2020, npj Systems Biology and Applications.

[3]  Y. Lai,et al.  Engineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination , 2017, eLife.

[4]  Michael A. Savageau,et al.  Design Space Toolbox V2: Automated Software Enabling a Novel Phenotype-Centric Modeling Strategy for Natural and Synthetic Biological Systems , 2016, Front. Genet..

[5]  John G. Albeck,et al.  Frequency-modulated pulses of ERK activity transmit quantitative proliferation signals. , 2013, Molecular cell.

[6]  Oliver Sawodny,et al.  The Glansdorff-Prigogine stability criterion for biochemical reaction networks , 2011, Autom..

[7]  Jeff Hasty,et al.  Synchronized DNA cycling across a bacterial population , 2017, Nature Genetics.

[8]  A. Ninfa,et al.  Development of Genetic Circuitry Exhibiting Toggle Switch or Oscillatory Behavior in Escherichia coli , 2003, Cell.

[9]  A. Goldbeter Dissipative structures in biological systems: bistability, oscillations, spatial patterns and waves , 2018, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[10]  Albert Goldbeter,et al.  Dissipative structures and biological rhythms. , 2017, Chaos.

[11]  M. Elowitz,et al.  A synthetic oscillatory network of transcriptional regulators , 2000, Nature.

[12]  Kyle E. Watters,et al.  A renaissance in RNA synthetic biology: new mechanisms, applications and tools for the future. , 2015, Current opinion in chemical biology.

[13]  Mauricio Barahona,et al.  Computational Re-Design of Synthetic Genetic Oscillators for Independent Amplitude and Frequency Modulation , 2017, bioRxiv.

[14]  Bin Huang,et al.  Interrogating the topological robustness of gene regulatory circuits by randomization , 2016, bioRxiv.

[15]  Sindy K. Y. Tang,et al.  Programming self-organizing multicellular structures with synthetic cell-cell signaling , 2018, Science.

[16]  M. Feinberg Chemical reaction network structure and the stability of complex isothermal reactors—I. The deficiency zero and deficiency one theorems , 1987 .

[17]  Russell M Gordley,et al.  Engineering dynamical control of cell fate switching using synthetic phospho-regulons , 2016, Proceedings of the National Academy of Sciences.

[18]  Jörg Stelling,et al.  A method for inverse bifurcation of biochemical switches: inferring parameters from dose response curves , 2014, BMC Systems Biology.

[19]  Michael A Savageau,et al.  Qualitatively distinct phenotypes in the design space of biochemical systems , 2009, FEBS letters.

[20]  Carolyn Zhang,et al.  Processing Oscillatory Signals by Incoherent Feedforward Loops , 2016, PLoS Comput. Biol..

[21]  L. Tsimring,et al.  A synchronized quorum of genetic clocks , 2009, Nature.

[22]  Qiong Yang,et al.  Systems and synthetic biology approaches in understanding biological oscillators , 2018, Quantitative Biology.

[23]  Rosa D. Hernansaiz-Ballesteros,et al.  Computing with biological switches and clocks , 2018, Natural Computing.

[24]  Michael A. Savageau,et al.  Strategy Revealing Phenotypic Differences among Synthetic Oscillator Designs , 2014, ACS synthetic biology.

[25]  C. Athale,et al.  Modeling the tunability of the dual-feedback genetic oscillator. , 2020, Physical review. E.

[26]  Michael A. Savageau,et al.  Automated construction and analysis of the design space for biochemical systems , 2010, Bioinform..

[27]  Edda Klipp,et al.  Sic1 plays a role in timing and oscillatory behaviour of B-type cyclins. , 2012, Biotechnology advances.

[28]  Chris P. Barnes,et al.  A computational method for the investigation of multistable systems and its application to genetic switches , 2016, bioRxiv.

[29]  Andras Gyorgy,et al.  Sharing Resources Can Lead to Monostability in a Network of Bistable Toggle Switches , 2019, IEEE Control Systems Letters.

[30]  L. Tsimring,et al.  A programmable fate decision landscape underlies single-cell aging in yeast , 2020, Science.

[31]  John J Tyson,et al.  A Dynamical Paradigm for Molecular Cell Biology. , 2020, Trends in cell biology.

[32]  Philippe C. Faucon,et al.  Gene Networks of Fully Connected Triads with Complete Auto-Activation Enable Multistability and Stepwise Stochastic Transitions , 2014, PloS one.

[33]  Michael A Savageau,et al.  Phenotype-centric modeling for elucidation of biological design principles. , 2018, Journal of theoretical biology.

[34]  Edda Klipp,et al.  A Clb/Cdk1-mediated regulation of Fkh2 synchronizes CLB expression in the budding yeast cell cycle , 2017, npj Systems Biology and Applications.

[35]  M. Bennett,et al.  A fast, robust, and tunable synthetic gene oscillator , 2008, Nature.

[36]  Anca Marginean,et al.  CoNtRol: an open source framework for the analysis of chemical reaction networks , 2014, Bioinform..

[37]  Domitilla Del Vecchio,et al.  The number of equilibrium points of perturbed nonlinear positive dynamical systems , 2019, Autom..

[38]  Mario di Bernardo,et al.  Analysis and Control of Genetic Toggle Switches Subject to Periodic Multi-Input Stimulation , 2018, IEEE Control Systems Letters.

[39]  E. Ben-Jacob,et al.  Operating principles of tristable circuits regulating cellular differentiation , 2017, Physical biology.

[40]  Michael A. Savageau,et al.  Mechanistic Modeling of Biochemical Systems without A Priori Parameter Values Using the Design Space Toolbox v.3.0 , 2020, iScience.

[41]  Domitilla Del Vecchio,et al.  Computational Analysis of Altering Cell Fate. , 2019, Methods in molecular biology.

[42]  Ting Lu,et al.  Integrative Circuit-Host Modeling of a Genetic Switch in Varying Environments , 2020, Scientific Reports.

[43]  Ryoichiro Kageyama,et al.  Ultradian oscillations and pulses: coordinating cellular responses and cell fate decisions , 2014, Development.

[44]  M. di Bernardo,et al.  A comparative analysis of synthetic genetic oscillators , 2010, Journal of The Royal Society Interface.

[45]  Wendell A Lim,et al.  The Design Principles of Biochemical Timers: Circuits that Discriminate between Transient and Sustained Stimulation. , 2019, Cell systems.

[46]  Michael A Savageau,et al.  Elucidating the genotype–phenotype map by automatic enumeration and analysis of the phenotypic repertoire , 2015, npj Systems Biology and Applications.

[47]  Xiao-Jun Tian,et al.  Topology-Dependent Interference of Synthetic Gene Circuit Function by Growth Feedback , 2020, Nature Chemical Biology.

[48]  David K. Lubensky,et al.  Discrete gene replication events drive coupling between the cell cycle and circadian clocks , 2015, Proceedings of the National Academy of Sciences.

[49]  U. Seifert,et al.  Interlinked GTPase cascades provide a motif for both robust switches and oscillators , 2019, Journal of the Royal Society Interface.

[50]  M. Savageau,et al.  Rapid Discrimination Among Putative Mechanistic Models of Biochemical Systems , 2016, Scientific Reports.

[51]  Domitilla Del Vecchio,et al.  A Blueprint for a Synthetic Genetic Feedback Controller to Reprogram Cell Fate. , 2017, Cell systems.

[52]  Mustafa Khammash,et al.  Cell-in-the-loop pattern formation with optogenetically emulated cell-to-cell signaling , 2020, Nature Communications.

[53]  Franco Blanchini,et al.  A Structural Classification of Candidate Oscillatory and Multistationary Biochemical Systems , 2014, Bulletin of mathematical biology.

[54]  Vladislav A Petyuk,et al.  CRNT4SBML: a Python package for the detection of bistability in biochemical reaction networks , 2020, Bioinform..

[55]  Shinji Hara,et al.  Existence criteria of periodic oscillations in cyclic gene regulatory networks , 2011, Autom..

[56]  Shixuan Liu,et al.  Incoherent Inputs Enhance the Robustness of Biological Oscillators. , 2017, Cell systems.

[57]  Joerg Stelling,et al.  Multistable and dynamic CRISPRi-based synthetic circuits , 2020, Nature Communications.

[58]  J. Ferrell Bistability, Bifurcations, and Waddington's Epigenetic Landscape , 2012, Current Biology.

[59]  D. Michel,et al.  The basal level of gene expression associated with chromatin loosening shapes Waddington landscapes and controls cell differentiation. , 2020, Journal of molecular biology.

[60]  David Angeli,et al.  Shaping pulses to control bistable systems: Analysis, computation and counterexamples , 2016, Autom..

[61]  Michael A. Savageau,et al.  Introduction to S-systems and the underlying power-law formalism , 1988 .

[62]  Joerg Stelling,et al.  BioSwitch: a tool for the detection of bistability and multi-steady state behaviour in signalling and gene regulatory networks , 2019, Bioinform..

[63]  David J. Menn,et al.  Modeling Gene Networks to Understand Multistability in Stem Cells. , 2019, Methods in molecular biology.

[64]  Martin Fussenegger,et al.  A synthetic low-frequency mammalian oscillator , 2010, Nucleic acids research.

[65]  Xiao-Jun Tian,et al.  Modeling ncRNA-Mediated Circuits in Cell Fate Decision. , 2019, Methods in molecular biology.

[66]  Claudio Altafini,et al.  ERNEST: a toolbox for chemical reaction network theory , 2009, Bioinform..