Literature DB >> 11451474

Whole-cell biocomputing.

M L Simpson1, G S Sayler, J T Fleming, B Applegate.   

Abstract

The ability to manipulate systems on the molecular scale naturally leads to speculation about the rational design of molecular-scale machines. Cells might be the ultimate molecular-scale machines and our ability to engineer them is relatively advanced when compared with our ability to control the synthesis and direct the assembly of man-made materials. Indeed, engineered whole cells deployed in biosensors can be considered one of the practical successes of molecular-scale devices. However, these devices explore only a small portion of cellular functionality. Individual cells or self-organized groups of cells perform extremely complex functions that include sensing, communication, navigation, cooperation and even fabrication of synthetic nanoscopic materials. In natural systems, these capabilities are controlled by complex genetic regulatory circuits, which are only partially understood and not readily accessible for use in engineered systems. Here, we focus on efforts to mimic the functionality of man-made information-processing systems within whole cells.

Entities:  

Keywords:  NASA Discipline Life Sciences Technologies; Non-NASA Center

Mesh:

Substances:

Year:  2001        PMID: 11451474     DOI: 10.1016/s0167-7799(01)01691-2

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  10 in total

1.  Frequency domain analysis of noise in autoregulated gene circuits.

Authors:  Michael L Simpson; Chris D Cox; Gary S Sayler
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-01       Impact factor: 11.205

2.  Addition of glutamate to serum-free culture promotes recovery of electrical activity in adult hippocampal neurons in vitro.

Authors:  Darin Edwards; Mainak Das; Peter Molnar; James J Hickman
Journal:  J Neurosci Methods       Date:  2010-05-07       Impact factor: 2.390

3.  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

4.  Use of Saccharomyces cerevisiae BLYES expressing bacterial bioluminescence for rapid, sensitive detection of estrogenic compounds.

Authors:  John Sanseverino; Rakesh K Gupta; Alice C Layton; Stacey S Patterson; Steven A Ripp; Leslie Saidak; Michael L Simpson; T Wayne Schultz; Gary S Sayler
Journal:  Appl Environ Microbiol       Date:  2005-08       Impact factor: 4.792

5.  Sealable femtoliter chamber arrays for cell-free biology.

Authors:  Sarah Elizabeth Norred; Patrick M Caveney; Scott T Retterer; Jonathan B Boreyko; Jason D Fowlkes; Charles Patrick Collier; Michael L Simpson
Journal:  J Vis Exp       Date:  2015-03-11       Impact factor: 1.355

Review 6.  Synthetic Biology Goes Cell-Free.

Authors:  Aidan Tinafar; Katariina Jaenes; Keith Pardee
Journal:  BMC Biol       Date:  2019-08-08       Impact factor: 7.431

7.  A synthetic mammalian electro-genetic transcription circuit.

Authors:  Wilfried Weber; Stefan Luzi; Maria Karlsson; Carlota Diaz Sanchez-Bustamante; Urs Frey; Andreas Hierlemann; Martin Fussenegger
Journal:  Nucleic Acids Res       Date:  2009-02-03       Impact factor: 16.971

8.  Nano-enabled synthetic biology.

Authors:  Mitchel J Doktycz; Michael L Simpson
Journal:  Mol Syst Biol       Date:  2007-07-10       Impact factor: 11.429

9.  Multi-input regulation and logic with T7 promoters in cells and cell-free systems.

Authors:  Sukanya Iyer; David K Karig; S Elizabeth Norred; Michael L Simpson; Mitchel J Doktycz
Journal:  PLoS One       Date:  2013-10-23       Impact factor: 3.240

10.  How to make a synthetic multicellular computer.

Authors:  Javier Macia; Ricard Sole
Journal:  PLoS One       Date:  2014-02-19       Impact factor: 3.240

  10 in total

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