Cell-free transcription-translation (TXTL) is expanding as a polyvalent experimental platform to engineer biological systems outside living organisms. As the number of TXTL applications and users is rapidly growing, some aspects of this technology could be better characterized to provide a broader description of its basic working mechanisms. In particular, developing simple quantitative biophysical models that grasp the different regimes of in vitro gene expression, using relevant kinetic constants and concentrations of molecular components, remains insufficiently examined. In this work, we present an ODE (Ordinary Differential Equation)-based model of the expression of a reporter gene in an all E. coli TXTL that we apply to a set of regulatory elements spanning several orders of magnitude in strengths, far beyond the T7 standard system used in most of the TXTL platforms. Several key biochemical constants are experimentally determined through fluorescence assays. The robustness of the model is tested against the experimental parameters, and limitations of TXTL resources are described. We establish quantitative references between the performance of E. coli and synthetic promoters and ribosome binding sites. The model and the data should be useful for the TXTL community interested either in gene network engineering or in biomanufacturing beyond the conventional platforms relying on phage transcription.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6700315 | PMC |
http://dx.doi.org/10.1038/s41598-019-48468-8 | DOI Listing |
Appl Environ Microbiol
December 2024
Department of Microbiology, Harvard Medical School, Boston, Massachusetts, USA.
Small
December 2024
School of Physics and Astronomy, University of Minnesota, 115 Union Street Southeast, Minneapolis, MN, 55455, USA.
Living cells use liquid-liquid phase separation (LLPS) to compartmentalize metabolic functions into mesoscopic-sized droplets. Deciphering the mechanisms at play in LLPS is therefore critical to understanding the structuration and functions of cells at the subcellular level. Although observed and achieved to a significant degree of control in vivo, the reconstitution of LLPS integrating advanced biological functions, such as gene expression, has been so far limited in vitro.
View Article and Find Full Text PDFACS Synth Biol
December 2024
Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, United States.
Cell-free transcription-translation (TX-TL) systems have been used for diverse applications, but their performance and scope are limited by variability and poor predictability. To understand the drivers of this variability, we explored the effects of metabolic perturbations to an () Rosetta2 TX-TL system. We targeted three classes of molecules: energy molecules, in the form of nucleotide triphosphates (NTPs); central carbon "fuel" molecules, which regenerate NTPs; and magnesium ions (Mg).
View Article and Find Full Text PDFAngew Chem Int Ed Engl
November 2024
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Hunan Provincial Key Laboratory of Biomacromolecular Chemical Biology, Hunan University, Changsha, 410082, P. R. China.
Natural protein-protein communications, such as those between transcription factors (TFs) and RNA polymerases/ribosomes, underpin cell-free biosensing systems operating on the transcription/translation (TXTL) paradigm. However, their deployment in field analysis is hampered by the delayed response (hour-level) and the complex composition of in vitro TXTL systems. For this purpose, we present a de novo-designed ligand-responsive artificial protein-protein communication (LIRAC) by redefining the connection between TFs and non-interacting CRISPR/Cas enzymes.
View Article and Find Full Text PDFMethods Mol Biol
October 2024
Max Planck Institute for Terrestrial Microbiology, Marburg, Germany.
Cell-free transcription and translation (TXTL) systems have emerged as a powerful tool for testing genetic regulatory elements and circuits. Cell-free prototyping can dramatically accelerate the design-build-test-learn cycle of new functions in synthetic biology, in particular when quick-to-assemble linear DNA templates are used. Here, we describe a Golden-Gate-assisted, cloning-free workflow to rapidly produce linear DNA templates for TXTL reactions by assembling transcription units from basic genetic parts of a modular cloning toolbox.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!