Literature DB >> 24295047

Toward a generalized and high-throughput enzyme screening system based on artificial genetic circuits.

Su-Lim Choi1, Eugene Rha, Sang Jun Lee, Haseong Kim, Kilkoang Kwon, Young-Su Jeong, Young Ha Rhee, Jae Jun Song, Hak-Sung Kim, Seung-Goo Lee.   

Abstract

Large-scale screening of enzyme libraries is essential for the development of cost-effective biological processes, which will be indispensable for the production of sustainable biobased chemicals. Here, we introduce a genetic circuit termed the Genetic Enzyme Screening System that is highly useful for high-throughput enzyme screening from diverse microbial metagenomes. The circuit consists of two AND logics. The first AND logic, the two inputs of which are the target enzyme and its substrate, is responsible for the accumulation of a phenol compound in cell. Then, the phenol compound and its inducible transcription factor, whose activation turns on the expression of a reporter gene, interact in the other logic gate. We confirmed that an individual cell harboring this genetic circuit can present approximately a 100-fold higher cellular fluorescence than the negative control and can be easily quantified by flow cytometry depending on the amounts of phenolic derivatives. The high sensitivity of the genetic circuit enables the rapid discovery of novel enzymes from metagenomic libraries, even for genes that show marginal activities in a host system. The crucial feature of this approach is that this single system can be used to screen a variety of enzymes that produce a phenol compound from respective synthetic phenyl-substrates, including cellulase, lipase, alkaline phosphatase, tyrosine phenol-lyase, and methyl parathion hydrolase. Consequently, the highly sensitive and quantitative nature of this genetic circuit along with flow cytometry techniques could provide a widely applicable toolkit for discovering and engineering novel enzymes at a single cell level.

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Year:  2013        PMID: 24295047     DOI: 10.1021/sb400112u

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  17 in total

1.  Multi-enzyme Screening Using a High-throughput Genetic Enzyme Screening System.

Authors:  Haseong Kim; Kil Koang Kwon; Wonjae Seong; Seung-Goo Lee
Journal:  J Vis Exp       Date:  2016-08-08       Impact factor: 1.355

2.  In vivo biosensors: mechanisms, development, and applications.

Authors:  Shuobo Shi; Ee Lui Ang; Huimin Zhao
Journal:  J Ind Microbiol Biotechnol       Date:  2018-01-29       Impact factor: 3.346

3.  Diagnosis of Acute Leukemia by Multiparameter Flow Cytometry with the Assistance of Artificial Intelligence.

Authors:  Pengqiang Zhong; Mengzhi Hong; Huanyu He; Jiang Zhang; Yaoming Chen; Zhigang Wang; Peisong Chen; Juan Ouyang
Journal:  Diagnostics (Basel)       Date:  2022-03-28

4.  A novel psychrophilic alkaline phosphatase from the metagenome of tidal flat sediments.

Authors:  Dae-Hee Lee; Su-Lim Choi; Eugene Rha; Soo Jin Kim; Soo-Jin Yeom; Jae-Hee Moon; Seung-Goo Lee
Journal:  BMC Biotechnol       Date:  2015-01-31       Impact factor: 2.563

Review 5.  Developments in the tools and methodologies of synthetic biology.

Authors:  Richard Kelwick; James T MacDonald; Alexander J Webb; Paul Freemont
Journal:  Front Bioeng Biotechnol       Date:  2014-11-26

6.  A microbial sensor for organophosphate hydrolysis exploiting an engineered specificity switch in a transcription factor.

Authors:  Ramesh K Jha; Theresa L Kern; Youngchang Kim; Christine Tesar; Robert Jedrzejczak; Andrzej Joachimiak; Charlie E M Strauss
Journal:  Nucleic Acids Res       Date:  2016-08-17       Impact factor: 16.971

7.  A growth- and bioluminescence-based bioreporter for the in vivo detection of novel biocatalysts.

Authors:  Teunke van Rossum; Aleksandra Muras; Marco J J Baur; Sjoerd C A Creutzburg; John van der Oost; Servé W M Kengen
Journal:  Microb Biotechnol       Date:  2017-04-10       Impact factor: 5.813

8.  Evolution of enzymes with new specificity by high-throughput screening using DmpR-based genetic circuits and multiple flow cytometry rounds.

Authors:  Kil Koang Kwon; Dae-Hee Lee; Su Jin Kim; Su-Lim Choi; Eugene Rha; Soo-Jin Yeom; Bindu Subhadra; Jinhyuk Lee; Ki Jun Jeong; Seung-Goo Lee
Journal:  Sci Rep       Date:  2018-02-08       Impact factor: 4.379

9.  Tetramethylpyrazine-Inducible Promoter Region from Rhodococcus jostii TMP1.

Authors:  Rūta Stanislauskienė; Simonas Kutanovas; Laura Kalinienė; Maksim Bratchikov; Rolandas Meškys
Journal:  Molecules       Date:  2018-06-25       Impact factor: 4.411

10.  Tetrameric architecture of an active phenol-bound form of the AAA+ transcriptional regulator DmpR.

Authors:  Kwang-Hyun Park; Sungchul Kim; Su-Jin Lee; Jee-Eun Cho; Vinod Vikas Patil; Arti Baban Dumbrepatil; Hyung-Nam Song; Woo-Chan Ahn; Chirlmin Joo; Seung-Goo Lee; Victoria Shingler; Eui-Jeon Woo
Journal:  Nat Commun       Date:  2020-06-01       Impact factor: 14.919

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