Gene circuit performance characterization and resource usage in a cell-free "breadboard".

The many successes of synthetic biology have come in a manner largely different from those in other engineering disciplines; in particular, without well-characterized and simplified prototyping environments to play a role analogous to wind-tunnels in aerodynamics and breadboards in electrical engineering. However, as the complexity of synthetic circuits increases, the benefits--in cost savings and design cycle time--of a more traditional engineering approach can be significant. We have recently developed an in vitro "breadboard" prototyping platform based on E. coli cell extract that allows biocircuits to operate in an environment considerably simpler than, but functionally similar to, in vivo. The simplicity of this system makes it a promising tool for rapid biocircuit design and testing, as well as for probing fundamental aspects of gene circuit operation normally masked by cellular complexity. In this work, we characterize the cell-free breadboard using real-time and simultaneous measurements of transcriptional and translational activities of a small set of reporter genes and a transcriptional activation cascade. We determine the effects of promoter strength, gene concentration, and nucleoside triphosphate concentration on biocircuit properties, and we isolate the specific contributions of essential biomolecular resources-core RNA polymerase and ribosomes-to overall performance. Importantly, we show how limits on resources, particularly those involved in translation, are manifested as reduced expression in the presence of orthogonal genes that serve as additional loads on the system.

[1]  M. Sørensen,et al.  Absolute in vivo translation rates of individual codons in Escherichia coli. The two glutamic acid codons GAA and GAG are translated with a threefold difference in rate. , 1991, Journal of molecular biology.

[2]  M. Sørensen,et al.  Synthesis of proteins in Escherichia coli is limited by the concentration of free ribosomes. Expression from reporter genes does not always reflect functional mRNA levels. , 1993, Journal of molecular biology.

[3]  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.

[4]  Dong-Myung Kim,et al.  Prolonging cell-free protein synthesis with a novel ATP regeneration system. , 1999, Biotechnology and bioengineering.

[5]  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.

[6]  M. Jewett,et al.  Substrate replenishment extends protein synthesis with an in vitro translation system designed to mimic the cytoplasm , 2004, Biotechnology and bioengineering.

[7]  Farren J. Isaacs,et al.  Engineered riboregulators enable post-transcriptional control of gene expression , 2004, Nature Biotechnology.

[8]  J. Belasco,et al.  Lost in translation: the influence of ribosomes on bacterial mRNA decay. , 2005, Genes & development.

[9]  Kim Sneppen,et al.  Ribosome collisions and translation efficiency: optimization by codon usage and mRNA destabilization. , 2008, Journal of molecular biology.

[10]  L. You,et al.  Emergent bistability by a growth-modulating positive feedback circuit. , 2009, Nature chemical biology.

[11]  R. Khnouf,et al.  Protein synthesis in a device with nanoporous membranes and microchannels. , 2010, Lab on a Chip.

[12]  Yu Tanouchi,et al.  Oscillations by Minimal Bacterial Suicide Circuits Reveal Hidden Facets of Host-Circuit Physiology , 2010, PloS one.

[13]  T. Hwa,et al.  Interdependence of Cell Growth and Gene Expression: Origins and Consequences , 2010, Science.

[14]  Ruth J. Williams,et al.  Correlation resonance generated by coupled enzymatic processing. , 2010, Biophysical journal.

[15]  Vincent Noireaux,et al.  Efficient cell-free expression with the endogenous E. Coli RNA polymerase and sigma factor 70 , 2010, Journal of biological engineering.

[16]  Dominique Chu,et al.  The role of tRNA and ribosome competition in coupling the expression of different mRNAs in Saccharomyces cerevisiae , 2011, Nucleic acids research.

[17]  Ruth J. Williams,et al.  Queueing up for Enzymatic Processing: Correlated Signaling through Coupled Degradation , 2022 .

[18]  Adam P Arkin,et al.  Versatile RNA-sensing transcriptional regulators for engineering genetic networks , 2011, Proceedings of the National Academy of Sciences.

[19]  Vincent Noireaux,et al.  Coarse-grained dynamics of protein synthesis in a cell-free system. , 2011, Physical review letters.

[20]  Kim Sneppen,et al.  The functional half-life of an mRNA depends on the ribosome spacing in an early coding region. , 2011, Journal of molecular biology.

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

[22]  Y. Rondelez Competition for catalytic resources alters biological network dynamics. , 2012, Physical review letters.

[23]  T. Lu,et al.  Synthetic biology: an emerging engineering discipline. , 2012, Annual review of biomedical engineering.

[24]  James J. Collins,et al.  Iterative plug-and-play methodology for constructing and modifying synthetic gene networks , 2012, Nature Methods.

[25]  A. Arkin,et al.  Contextualizing context for synthetic biology – identifying causes of failure of synthetic biological systems , 2012, Biotechnology journal.

[26]  Richard M. Murray,et al.  Quantifying crosstalk in biochemical systems , 2012, 2012 IEEE 51st IEEE Conference on Decision and Control (CDC).

[27]  V. Noireaux,et al.  An E. coli cell-free expression toolbox: application to synthetic gene circuits and artificial cells. , 2012, ACS synthetic biology.

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

[29]  M. Jewett,et al.  Cell-free synthetic biology: thinking outside the cell. , 2012, Metabolic engineering.

[30]  James J Collins,et al.  Insulating gene circuits from context by RNA processing , 2012, Nature Biotechnology.

[31]  R. Zimmer,et al.  Experiment and mathematical modeling of gene expression dynamics in a cell-free system. , 2012, Integrative biology : quantitative biosciences from nano to macro.

[32]  Thomas E. Landrain,et al.  De novo automated design of small RNA circuits for engineering synthetic riboregulation in living cells , 2012, Proceedings of the National Academy of Sciences.

[33]  Yutetsu Kuruma,et al.  Unbiased Tracking of the Progression of mRNA and Protein Synthesis in Bulk and in Liposome‐Confined Reactions , 2013, Chembiochem : a European journal of chemical biology.

[34]  Herbert M Sauro,et al.  Randomized BioBrick assembly: a novel DNA assembly method for randomizing and optimizing genetic circuits and metabolic pathways. , 2013, ACS synthetic biology.

[35]  Paul S. Freemont,et al.  Validation of an entirely in vitro approach for rapid prototyping of DNA regulatory elements for synthetic biology , 2013, Nucleic acids research.

[36]  Tom Ellis,et al.  Modelling the burden caused by gene expression: an in silico investigation into the interactions between synthetic gene circuits and their chassis cell , 2013, 1309.7798.

[37]  Stefano Cardinale,et al.  Effects of genetic variation on the E. coli host-circuit interface. , 2013, Cell reports.

[38]  Richard M. Murray,et al.  An in silico modeling toolbox for rapid prototyping of circuits in a biomolecular “breadboard” system , 2013, 52nd IEEE Conference on Decision and Control.

[39]  Richard M. Murray,et al.  Biomolecular resource utilization in elementary cell-free gene circuits , 2013, 2013 American Control Conference.

[40]  Jeff Hasty,et al.  Translational cross talk in gene networks. , 2013, Biophysical journal.

[41]  Richard M. Murray,et al.  Protocols for Implementing an Escherichia coli Based TX-TL Cell-Free Expression System for Synthetic Biology , 2013, Journal of visualized experiments : JoVE.

[42]  Henrike Niederholtmeyer,et al.  Implementation of cell-free biological networks at steady state , 2013, Proceedings of the National Academy of Sciences.

[43]  Henrike Niederholtmeyer,et al.  Real-time mRNA measurement during an in vitro transcription and translation reaction using binary probes. , 2013, ACS synthetic biology.

[44]  Richard M. Murray,et al.  Modeling the effects of compositional context on promoter activity in an E. coli extract based transcription-translation system , 2014, 53rd IEEE Conference on Decision and Control.

[45]  Hernan G. Garcia,et al.  Statistical mechanical model of coupled transcription from multiple promoters due to transcription factor titration. , 2014, Physical review. E, Statistical, nonlinear, and soft matter physics.

[46]  F. Ceroni,et al.  The spinach RNA aptamer as a characterization tool for synthetic biology. , 2014, ACS synthetic biology.

[47]  Vincent Noireaux,et al.  Linear DNA for rapid prototyping of synthetic biological circuits in an Escherichia coli based TX-TL cell-free system. , 2014, ACS synthetic biology.