Literature DB >> 17460793

A synthetic biology challenge: making cells compute.

Cheemeng Tan1, Hao Song, Jarad Niemi, Lingchong You.   

Abstract

Advances in biology and engineering have enabled the reprogramming of cells with well-defined functions, leading to the emergence of synthetic biology. Early successes in this nascent field suggest its potential to impact diverse areas. Here, we examine the feasibility of engineering circuits for cell-based computation. We illustrate the basic concepts by describing the mapping of several computational problems to engineered gene circuits. Revolving around these examples and past studies, we discuss technologies and computational methods available to design, test, and optimize gene circuits. We conclude with discussion of challenges involved in a typical design cycle, as well as those specific to cellular computation.

Mesh:

Year:  2007        PMID: 17460793     DOI: 10.1039/b618473c

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  14 in total

1.  Noise-limited frequency signal transmission in gene circuits.

Authors:  Cheemeng Tan; Faisal Reza; Lingchong You
Journal:  Biophys J       Date:  2007-08-17       Impact factor: 4.033

Review 2.  Programming microbial population dynamics by engineered cell-cell communication.

Authors:  Hao Song; Stephen Payne; Cheemeng Tan; Lingchong You
Journal:  Biotechnol J       Date:  2011-06-16       Impact factor: 4.677

3.  A computational study of liposome logic: towards cellular computing from the bottom up.

Authors:  James Smaldon; Francisco J Romero-Campero; Francisco Fernández Trillo; Marian Gheorghe; Cameron Alexander; Natalio Krasnogor
Journal:  Syst Synth Biol       Date:  2010-07-18

Review 4.  Biomolecular computing systems: principles, progress and potential.

Authors:  Yaakov Benenson
Journal:  Nat Rev Genet       Date:  2012-06-12       Impact factor: 53.242

Review 5.  Build to understand: synthetic approaches to biology.

Authors:  Le-Zhi Wang; Fuqing Wu; Kevin Flores; Ying-Cheng Lai; Xiao Wang
Journal:  Integr Biol (Camb)       Date:  2015-12-21       Impact factor: 2.192

6.  Adaptive Mixture Modelling Metropolis Methods for Bayesian Analysis of Non-linear State-Space Models.

Authors:  Jarad Niemi; Mike West
Journal:  J Comput Graph Stat       Date:  2010-06-01       Impact factor: 2.302

Review 7.  Mathematical modeling: bridging the gap between concept and realization in synthetic biology.

Authors:  Yuting Zheng; Ganesh Sriram
Journal:  J Biomed Biotechnol       Date:  2010-05-30

Review 8.  Engineering multicellular systems by cell-cell communication.

Authors:  Anand Pai; Yu Tanouchi; Cynthia H Collins; Lingchong You
Journal:  Curr Opin Biotechnol       Date:  2009-09-03       Impact factor: 9.740

9.  Emergent bistability by a growth-modulating positive feedback circuit.

Authors:  Cheemeng Tan; Philippe Marguet; Lingchong You
Journal:  Nat Chem Biol       Date:  2009-10-04       Impact factor: 15.040

10.  Morphogen-defined patterning of Escherichia coli enabled by an externally tunable band-pass filter.

Authors:  Takayuki Sohka; Richard A Heins; Marc Ostermeier
Journal:  J Biol Eng       Date:  2009-07-08       Impact factor: 4.355

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