Synthetic circuit for exact adaptation and fold-change detection

Biological organisms use their sensory systems to detect changes in their environment. The ability of sensory systems to adapt to static inputs allows wide dynamic range as well as sensitivity to input changes including fold-change detection, a response that depends only on fold changes in input, and not on absolute changes. This input scale invariance underlies an important strategy for search that depends solely on the spatial profile of the input. Synthetic efforts to reproduce the architecture and response of cellular circuits provide an important step to foster understanding at the molecular level. We report the bottom-up assembly of biochemical systems that show exact adaptation and fold-change detection. Using a malachite green aptamer as the output, a synthetic transcriptional circuit with the connectivity of an incoherent feed-forward loop motif exhibits pulse generation and exact adaptation. A simple mathematical model was used to assess the amplitude and duration of pulse response as well as the parameter regimes required for fold-change detection. Upon parameter tuning, this synthetic circuit exhibits fold-change detection for four successive rounds of two-fold input changes. The experimental realization of fold-change detection circuit highlights the programmability of transcriptional switches and the ability to obtain predictive dynamical systems in a cell-free environment for technological applications.

[1]  Katherine C. Chen,et al.  Sniffers, buzzers, toggles and blinkers: dynamics of regulatory and signaling pathways in the cell. , 2003, Current opinion in cell biology.

[2]  E. Winfree,et al.  Ensemble Bayesian analysis of bistability in a synthetic transcriptional switch. , 2012, ACS synthetic biology.

[3]  C. Martin,et al.  Pre-steady-state kinetics of initiation of transcription by T7 RNA polymerase: a new kinetic model. , 2001, Journal of molecular biology.

[4]  R. Murray,et al.  Timing molecular motion and production with a synthetic transcriptional clock , 2011, Proceedings of the National Academy of Sciences.

[5]  Christopher A. Voigt,et al.  Genetic programs constructed from layered logic gates in single cells , 2012, Nature.

[6]  S. Basu,et al.  Spatiotemporal control of gene expression with pulse-generating networks. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Michael J. Berry,et al.  Adaptation of retinal processing to image contrast and spatial scale , 1997, Nature.

[8]  P. Rothemund Folding DNA to create nanoscale shapes and patterns , 2006, Nature.

[9]  Vincent Noireaux,et al.  A vesicle bioreactor as a step toward an artificial cell assembly. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[10]  C. Wilson,et al.  Laser-mediated, site-specific inactivation of RNA transcripts. , 1999, Proceedings of the National Academy of Sciences of the United States of America.

[11]  S. Shen-Orr,et al.  Network motifs in the transcriptional regulation network of Escherichia coli , 2002, Nature Genetics.

[12]  Erik Winfree,et al.  Neural Network Computation by In Vitro Transcriptional Circuits , 2004, NIPS.

[13]  U. Alon Network motifs: theory and experimental approaches , 2007, Nature Reviews Genetics.

[14]  Yuhai Tu,et al.  Modeling the chemotactic response of Escherichia coli to time-varying stimuli , 2008, Proceedings of the National Academy of Sciences.

[15]  E. Winfree,et al.  Synthetic in vitro transcriptional oscillators , 2011, Molecular systems biology.

[16]  E. Winfree,et al.  Construction of an in vitro bistable circuit from synthetic transcriptional switches , 2006, Molecular systems biology.

[17]  Eduardo Sontag,et al.  Transient dynamic phenotypes as criteria for model discrimination: fold-change detection in Rhodobacter sphaeroides chemotaxis , 2013, Journal of The Royal Society Interface.

[18]  Bernard Yurke,et al.  Using DNA to Power Nanostructures , 2003, Genetic Programming and Evolvable Machines.

[19]  Richard M. Murray,et al.  Analysis and design of a synthetic transcriptional network for exact adaptation , 2011, 2011 IEEE Biomedical Circuits and Systems Conference (BioCAS).

[20]  Deborah Kuchnir Fygenson,et al.  Active, motor-driven mechanics in a DNA gel , 2012, Proceedings of the National Academy of Sciences.

[21]  W. Mcallister,et al.  Interrupting the template strand of the T7 promoter facilitates translocation of the DNA during initiation, reducing transcript slippage and the release of abortive products. , 2001, Journal of molecular biology.

[22]  D. Luo,et al.  A mechanical metamaterial made from a DNA hydrogel. , 2012, Nature nanotechnology.

[23]  Erik Winfree,et al.  DNA as a universal substrate for chemical kinetics , 2009, Proceedings of the National Academy of Sciences.

[24]  A. Turberfield,et al.  DNA nanomachines. , 2007, Nature nanotechnology.

[25]  Zhen Xie,et al.  Molecular Systems Biology Peer Review Process File Synthetic Incoherent Feed-forward Circuits Show Adaptation to the Amount of Their Genetic Template. Transaction Report , 2022 .

[26]  J. Szostak,et al.  In vitro selection of RNA molecules that bind specific ligands , 1990, Nature.

[27]  Shawn M. Douglas,et al.  A Logic-Gated Nanorobot for Targeted Transport of Molecular Payloads , 2012, Science.

[28]  Tianjiao Wang,et al.  Function and dynamics of aptamers: A case study on the malachite green aptamer , 2008 .

[29]  Jehoshua Bruck,et al.  Neural network computation with DNA strand displacement cascades , 2011, Nature.

[30]  D. Y. Zhang,et al.  Control of DNA strand displacement kinetics using toehold exchange. , 2009, Journal of the American Chemical Society.

[31]  M. Deutscher,et al.  Substrate Recognition and Catalysis by the Exoribonuclease RNase R* , 2006, Journal of Biological Chemistry.

[32]  Y. Sakai,et al.  Programming an in vitro DNA oscillator using a molecular networking strategy , 2011, Molecular systems biology.

[33]  Roman Stocker,et al.  Response rescaling in bacterial chemotaxis , 2011, Proceedings of the National Academy of Sciences.

[34]  U. Alon,et al.  Robustness in bacterial chemotaxis , 2022 .

[35]  Rahul Sarpeshkar,et al.  Synthetic analog computation in living cells , 2013, Nature.

[36]  M. Vergassola,et al.  Noninvasive inference of the molecular chemotactic response using bacterial trajectories , 2012, Proceedings of the National Academy of Sciences.

[37]  S S Patel,et al.  Kinetic mechanism of transcription initiation by bacteriophage T7 RNA polymerase. , 1997, Biochemistry.

[38]  Uri Alon,et al.  Dynamics and variability of ERK2 response to EGF in individual living cells. , 2009, Molecular cell.

[39]  G. Seelig,et al.  Enzyme-Free Nucleic Acid Logic Circuits , 2022 .

[40]  Hi,et al.  Photocatalytic bleaching of malachite green and brilliant green dyesusing ZnS-CdS as semiconductor: A comparative study , 2010 .

[41]  G. Mackie RNase E: at the interface of bacterial RNA processing and decay , 2012, Nature Reviews Microbiology.

[42]  Eduardo Sontag,et al.  Fold-change detection and scalar symmetry of sensory input fields , 2010, Proceedings of the National Academy of Sciences.

[43]  K. Nierhaus,et al.  Self-coded 3′-Extension of Run-off Transcripts Produces Aberrant Products during in Vitro Transcription with T7 RNA Polymerase (*) , 1995, The Journal of Biological Chemistry.

[44]  Eduardo D. Sontag,et al.  A Characterization of Scale Invariant Responses in Enzymatic Networks , 2012, PLoS Comput. Biol..

[45]  Alex Groisman,et al.  Incoherent Feedforward Control Governs Adaptation of Activated Ras in a Eukaryotic Chemotaxis Pathway , 2012, Science Signaling.

[46]  U. Alon,et al.  The incoherent feedforward loop can provide fold-change detection in gene regulation. , 2009, Molecular cell.

[47]  Judith P. Armitage,et al.  Response kinetics in the complex chemotaxis signalling pathway of Rhodobacter sphaeroides , 2013, Journal of The Royal Society Interface.

[48]  Guido Tiana,et al.  Noncooperative interactions between transcription factors and clustered DNA binding sites enable graded transcriptional responses to environmental inputs. , 2010, Molecular cell.

[49]  E D Sontag,et al.  Remarks on feedforward circuits, adaptation, and pulse memory. , 2008, IET systems biology.

[50]  G. Seelig,et al.  Dynamic DNA nanotechnology using strand-displacement reactions. , 2011, Nature chemistry.

[51]  Darko Stefanovic,et al.  A deoxyribozyme-based molecular automaton , 2003, Nature Biotechnology.

[52]  Teruo Fujii,et al.  Nucleic acids for the rational design of reaction circuits. , 2013, Current opinion in biotechnology.

[53]  Teruo Fujii,et al.  Predator-prey molecular ecosystems. , 2013, ACS nano.

[54]  Yuval Hart,et al.  The utility of paradoxical components in biological circuits. , 2013, Molecular cell.

[55]  N. Sugimoto,et al.  The yields of transcripts for a RNA polymerase regulated by hairpin structures in nascent RNAs. , 2012, Chemical communications.

[56]  G. Hong,et al.  Nucleic Acids Research , 2015, Nucleic Acids Research.

[57]  Conrad Steenberg,et al.  NUPACK: Analysis and design of nucleic acid systems , 2011, J. Comput. Chem..

[58]  W. Lim,et al.  Defining Network Topologies that Can Achieve Biochemical Adaptation , 2009, Cell.