Literature DB >> 24937068

Optogenetic characterization methods overcome key challenges in synthetic and systems biology.

Evan J Olson1, Jeffrey J Tabor2.   

Abstract

Systems biologists aim to understand how organism-level processes, such as differentiation and multicellular development, are encoded in DNA. Conversely, synthetic biologists aim to program systems-level biological processes, such as engineered tissue growth, by writing artificial DNA sequences. To achieve their goals, these groups have adapted a hierarchical electrical engineering framework that can be applied in the forward direction to design complex biological systems or in the reverse direction to analyze evolved networks. Despite much progress, this framework has been limited by an inability to directly and dynamically characterize biological components in the varied contexts of living cells. Recently, two optogenetic methods for programming custom gene expression and protein localization signals have been developed and used to reveal fundamentally new information about biological components that respond to those signals. This basic dynamic characterization approach will be a major enabling technology in synthetic and systems biology.

Mesh:

Substances:

Year:  2014        PMID: 24937068     DOI: 10.1038/nchembio.1559

Source DB:  PubMed          Journal:  Nat Chem Biol        ISSN: 1552-4450            Impact factor:   15.040


  92 in total

1.  Interdependence of cell growth and gene expression: origins and consequences.

Authors:  Matthew Scott; Carl W Gunderson; Eduard M Mateescu; Zhongge Zhang; Terence Hwa
Journal:  Science       Date:  2010-11-19       Impact factor: 47.728

2.  Distributed biological computation with multicellular engineered networks.

Authors:  Sergi Regot; Javier Macia; Núria Conde; Kentaro Furukawa; Jimmy Kjellén; Tom Peeters; Stefan Hohmann; Eulàlia de Nadal; Francesc Posas; Ricard Solé
Journal:  Nature       Date:  2010-12-08       Impact factor: 49.962

3.  Signal processing by the HOG MAP kinase pathway.

Authors:  Pascal Hersen; Megan N McClean; L Mahadevan; Sharad Ramanathan
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-14       Impact factor: 11.205

4.  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

5.  Programmable bacteria detect and record an environmental signal in the mammalian gut.

Authors:  Jonathan W Kotula; S Jordan Kerns; Lev A Shaket; Layla Siraj; James J Collins; Jeffrey C Way; Pamela A Silver
Journal:  Proc Natl Acad Sci U S A       Date:  2014-03-17       Impact factor: 11.205

6.  Characterizing bacterial gene circuit dynamics with optically programmed gene expression signals.

Authors:  Evan J Olson; Lucas A Hartsough; Brian P Landry; Raghav Shroff; Jeffrey J Tabor
Journal:  Nat Methods       Date:  2014-03-09       Impact factor: 28.547

7.  Optogenetics.

Authors:  Karl Deisseroth
Journal:  Nat Methods       Date:  2010-12-20       Impact factor: 28.547

8.  Engineering modular and orthogonal genetic logic gates for robust digital-like synthetic biology.

Authors:  Baojun Wang; Richard I Kitney; Nicolas Joly; Martin Buck
Journal:  Nat Commun       Date:  2011-10-18       Impact factor: 14.919

9.  A synthetic Escherichia coli predator-prey ecosystem.

Authors:  Frederick K Balagaddé; Hao Song; Jun Ozaki; Cynthia H Collins; Matthew Barnet; Frances H Arnold; Stephen R Quake; Lingchong You
Journal:  Mol Syst Biol       Date:  2008-04-15       Impact factor: 11.429

10.  A fast, robust and tunable synthetic gene oscillator.

Authors:  Jesse Stricker; Scott Cookson; Matthew R Bennett; William H Mather; Lev S Tsimring; Jeff Hasty
Journal:  Nature       Date:  2008-10-29       Impact factor: 49.962

View more
  25 in total

1.  Tracking transience: a method for dynamic monitoring of biological events in Arabidopsis thaliana biosensors.

Authors:  George Hines; Cyrus Modavi; Keni Jiang; Andrew Packard; Kameshwar Poolla; Lewis Feldman
Journal:  Planta       Date:  2015-08-30       Impact factor: 4.116

2.  Blue light-mediated transcriptional activation and repression of gene expression in bacteria.

Authors:  Premkumar Jayaraman; Kavya Devarajan; Tze Kwang Chua; Hanzhong Zhang; Erry Gunawan; Chueh Loo Poh
Journal:  Nucleic Acids Res       Date:  2016-06-28       Impact factor: 16.971

3.  Iterative experiment design guides the characterization of a light-inducible gene expression circuit.

Authors:  Jakob Ruess; Francesca Parise; Andreas Milias-Argeitis; Mustafa Khammash; John Lygeros
Journal:  Proc Natl Acad Sci U S A       Date:  2015-06-17       Impact factor: 11.205

4.  Design and Implementation of an Automated Illuminating, Culturing, and Sampling System for Microbial Optogenetic Applications.

Authors:  Cameron J Stewart; Megan N McClean
Journal:  J Vis Exp       Date:  2017-02-19       Impact factor: 1.355

5.  Optimal control of bacterial growth for the maximization of metabolite production.

Authors:  Ivan Yegorov; Francis Mairet; Hidde de Jong; Jean-Luc Gouzé
Journal:  J Math Biol       Date:  2018-10-17       Impact factor: 2.259

6.  Re-engineering the two-component systems as light-regulated in Escherichia coli.

Authors:  Siya Ma; Siwei Luo; L I Wu; Zhi Liang; Jia-Rui Wu
Journal:  J Biosci       Date:  2017-12       Impact factor: 1.826

7.  An Engineered Optogenetic Switch for Spatiotemporal Control of Gene Expression, Cell Differentiation, and Tissue Morphogenesis.

Authors:  Lauren R Polstein; Mark Juhas; Gabi Hanna; Nenad Bursac; Charles A Gersbach
Journal:  ACS Synth Biol       Date:  2017-09-06       Impact factor: 5.110

Review 8.  How to train your microbe: methods for dynamically characterizing gene networks.

Authors:  Sebastian M Castillo-Hair; Oleg A Igoshin; Jeffrey J Tabor
Journal:  Curr Opin Microbiol       Date:  2015-02-10       Impact factor: 7.934

Review 9.  Advances in the directed evolution of proteins.

Authors:  Michael D Lane; Burckhard Seelig
Journal:  Curr Opin Chem Biol       Date:  2014-10-11       Impact factor: 8.822

10.  Biological signal generators: integrating synthetic biology tools and in silico control.

Authors:  Taylor D Scott; Kieran Sweeney; Megan N McClean
Journal:  Curr Opin Syst Biol       Date:  2019-02-27
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.