Literature DB >> 15064770

Programmed population control by cell-cell communication and regulated killing.

Lingchong You1, Robert Sidney Cox, Ron Weiss, Frances H Arnold.   

Abstract

De novo engineering of gene circuits inside cells is extremely difficult, and efforts to realize predictable and robust performance must deal with noise in gene expression and variation in phenotypes between cells. Here we demonstrate that by coupling gene expression to cell survival and death using cell-cell communication, we can programme the dynamics of a population despite variability in the behaviour of individual cells. Specifically, we have built and characterized a 'population control' circuit that autonomously regulates the density of an Escherichia coli population. The cell density is broadcasted and detected by elements from a bacterial quorum-sensing system, which in turn regulate the death rate. As predicted by a simple mathematical model, the circuit can set a stable steady state in terms of cell density and gene expression that is easily tunable by varying the stability of the cell-cell communication signal. This circuit incorporates a mechanism for programmed death in response to changes in the environment, and allows us to probe the design principles of its more complex natural counterparts.

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Mesh:

Year:  2004        PMID: 15064770     DOI: 10.1038/nature02491

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   49.962


  173 in total

1.  Programmable cells: interfacing natural and engineered gene networks.

Authors:  Hideki Kobayashi; Mads Kaern; Michihiro Araki; Kristy Chung; Timothy S Gardner; Charles R Cantor; James J Collins
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-24       Impact factor: 11.205

2.  Modeling a synthetic multicellular clock: repressilators coupled by quorum sensing.

Authors:  Jordi Garcia-Ojalvo; Michael B Elowitz; Steven H Strogatz
Journal:  Proc Natl Acad Sci U S A       Date:  2004-07-15       Impact factor: 11.205

3.  Tunable synthetic phenotypic diversification on Waddington's landscape through autonomous signaling.

Authors:  Ryoji Sekine; Masayuki Yamamura; Shotaro Ayukawa; Kana Ishimatsu; Satoru Akama; Masahiro Takinoue; Masami Hagiya; Daisuke Kiga
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-24       Impact factor: 11.205

4.  Programmable single-cell mammalian biocomputers.

Authors:  Simon Ausländer; David Ausländer; Marius Müller; Markus Wieland; Martin Fussenegger
Journal:  Nature       Date:  2012-07-05       Impact factor: 49.962

Review 5.  Dynamics in the mixed microbial concourse.

Authors:  Edwin H Wintermute; Pamela A Silver
Journal:  Genes Dev       Date:  2010-12-01       Impact factor: 11.361

6.  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

Review 7.  Exploiting plug-and-play synthetic biology for drug discovery and production in microorganisms.

Authors:  Marnix H Medema; Rainer Breitling; Roel Bovenberg; Eriko Takano
Journal:  Nat Rev Microbiol       Date:  2010-12-29       Impact factor: 60.633

Review 8.  Engineering ecosystems and synthetic ecologies.

Authors:  Michael T Mee; Harris H Wang
Journal:  Mol Biosyst       Date:  2012-10

9.  SYNTHETIC BIOLOGY. Emergent genetic oscillations in a synthetic microbial consortium.

Authors:  Ye Chen; Jae Kyoung Kim; Andrew J Hirning; Krešimir Josić; Matthew R Bennett
Journal:  Science       Date:  2015-08-28       Impact factor: 47.728

Review 10.  Engineering reduced evolutionary potential for synthetic biology.

Authors:  Brian A Renda; Michael J Hammerling; Jeffrey E Barrick
Journal:  Mol Biosyst       Date:  2014-02-21
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