Literature DB >> 21553191

Engineering the logical properties of a genetic AND gate.

Daniel J Sayut1, Yan Niu, Lianhong Sun.   

Abstract

Synthetic biology promises to enhance our ability to control biological systems by creating a systematic approach for the construction of genetic circuits that reliably program cellular function. As part of this approach, efficient methods are needed for the tuning of genetic circuits so as to allow for optimization of a design despite varying cellular contexts and incomplete understanding of in vivo biological interactions. Here we outline an optimization method that we have used to improve the logical responses of a genetic AND logic gate derived from components of the LuxI-LuxR bacterial quorum-sensing system. Basing our approach on the idea of evolutionary design, we improved the properties of our genetic AND logic gate by using directed evolution and a two-step screening process to alter the activities of the LuxR transcriptional activator. Using this method, we were able to rapidly enhance the AND gate's logical responses and have increased the specificities of these responses by ∼1.5-fold.

Mesh:

Substances:

Year:  2011        PMID: 21553191     DOI: 10.1007/978-1-61779-132-1_14

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


  3 in total

Review 1.  Recent advances and opportunities in synthetic logic gates engineering in living cells.

Authors:  Vijai Singh
Journal:  Syst Synth Biol       Date:  2014-08-28

2.  SynBioLGDB: a resource for experimentally validated logic gates in synthetic biology.

Authors:  Liqiang Wang; Kun Qian; Yan Huang; Nana Jin; Hongyan Lai; Ting Zhang; Chunhua Li; Chunrui Zhang; Xiaoman Bi; Deng Wu; Changliang Wang; Hao Wu; Puwen Tan; Jianping Lu; Liqun Chen; Kongning Li; Xia Li; Dong Wang
Journal:  Sci Rep       Date:  2015-01-28       Impact factor: 4.379

Review 3.  Synthetic Biology Approaches in The Development of Engineered Therapeutic Microbes.

Authors:  Minjeong Kang; Donghui Choe; Kangsan Kim; Byung-Kwan Cho; Suhyung Cho
Journal:  Int J Mol Sci       Date:  2020-11-19       Impact factor: 5.923

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.