Literature DB >> 33405227

Prediction of Cellular Burden with Host-Circuit Models.

Evangelos-Marios Nikolados1, Andrea Y Weiße2, Diego A Oyarzún3,4.   

Abstract

Heterologous gene expression draws resources from host cells. These resources include vital components to sustain growth and replication, and the resulting cellular burden is a widely recognized bottleneck in the design of robust circuits. In this tutorial we discuss the use of computational models that integrate gene circuits and the physiology of host cells. Through various use cases, we illustrate the power of host-circuit models to predict the impact of design parameters on both burden and circuit functionality. Our approach relies on a new generation of computational models for microbial growth that can flexibly accommodate resource bottlenecks encountered in gene circuit design. Adoption of this modeling paradigm can facilitate fast and robust design cycles in synthetic biology.

Keywords:  Cellular burden; Gene circuit design; Growth models; Resource allocation; Synthetic biology; Whole-cell modeling

Year:  2021        PMID: 33405227     DOI: 10.1007/978-1-0716-1032-9_13

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  49 in total

1.  Construction of a genetic toggle switch in Escherichia coli.

Authors:  T S Gardner; C R Cantor; J J Collins
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

2.  A synthetic oscillatory network of transcriptional regulators.

Authors:  M B Elowitz; S Leibler
Journal:  Nature       Date:  2000-01-20       Impact factor: 49.962

3.  Competition for catalytic resources alters biological network dynamics.

Authors:  Yannick Rondelez
Journal:  Phys Rev Lett       Date:  2012-01-05       Impact factor: 9.161

4.  Refinement and standardization of synthetic biological parts and devices.

Authors:  Barry Canton; Anna Labno; Drew Endy
Journal:  Nat Biotechnol       Date:  2008-07       Impact factor: 54.908

5.  A synthetic genetic edge detection program.

Authors:  Jeffrey J Tabor; Howard M Salis; Zachary Booth Simpson; Aaron A Chevalier; Anselm Levskaya; Edward M Marcotte; Christopher A Voigt; Andrew D Ellington
Journal:  Cell       Date:  2009-06-26       Impact factor: 41.582

6.  Opportunities at the Intersection of Synthetic Biology, Machine Learning, and Automation.

Authors:  Pablo Carbonell; Tijana Radivojevic; Héctor García Martín
Journal:  ACS Synth Biol       Date:  2019-07-19       Impact factor: 5.110

7.  Fundamental Design Principles for Transcription-Factor-Based Metabolite Biosensors.

Authors:  Ahmad A Mannan; Di Liu; Fuzhong Zhang; Diego A Oyarzún
Journal:  ACS Synth Biol       Date:  2017-08-09       Impact factor: 5.110

Review 8.  Engineered gene circuits.

Authors:  Jeff Hasty; David McMillen; J J Collins
Journal:  Nature       Date:  2002-11-14       Impact factor: 49.962

9.  Using two-component systems and other bacterial regulatory factors for the fabrication of synthetic genetic devices.

Authors:  Alexander J Ninfa; Stephen Selinsky; Nicolas Perry; Stephen Atkins; Qi Xiu Song; Avi Mayo; David Arps; Peter Woolf; Mariette R Atkinson
Journal:  Methods Enzymol       Date:  2007       Impact factor: 1.600

10.  Synthetic biology: new engineering rules for an emerging discipline.

Authors:  Ernesto Andrianantoandro; Subhayu Basu; David K Karig; Ron Weiss
Journal:  Mol Syst Biol       Date:  2006-05-16       Impact factor: 11.429

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  1 in total

1.  Resource-aware whole-cell model of division of labour in a microbial consortium for complex-substrate degradation.

Authors:  Guy-Bart Stan; Rodrigo Ledesma-Amaro; Eliza Atkinson; Zoltan Tuza; Giansimone Perrino
Journal:  Microb Cell Fact       Date:  2022-06-14       Impact factor: 6.352

  1 in total

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