Literature DB >> 24847676

Preventing T7 RNA polymerase read-through transcription-A synthetic termination signal capable of improving bioprocess stability.

Juergen Mairhofer1,2, Alexander Wittwer1,2, Monika Cserjan-Puschmann1,2, Gerald Striedner1,2.   

Abstract

The phage-derived T7 RNA polymerase is the most prominent orthogonal transcriptions system used in the field of synthetic biology. However, gene expression driven by T7 RNA polymerase is prone to read-through transcription due to contextuality of the T7 terminator. The native T7 terminator has a termination efficiency of approximately 80% and therefore provides insufficient insulation of the expression unit. By using a combination of a synthetic T7 termination signal with two well-known transcriptional terminators (rrnBT1 and T7), we have been able to increase the termination efficiency to 99%. To characterize putative effects of an enhanced termination signal on product yield and process stability, industrial-relevant fed batch cultivations have been performed. Fermentation of a E. coli HMS174(DE3) strain carrying a pET30a derivative containing the improved termination signal showed a significant decrease of plasmid copy number (PCN) and an increase in total protein yield under standard conditions.

Entities:  

Keywords:  T7 RNA polymerase; T7 terminator; contextuality; insulator; plasmid vector design; read-through transcription; recombinant protein expression

Mesh:

Substances:

Year:  2014        PMID: 24847676     DOI: 10.1021/sb5000115

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


  17 in total

1.  Synthetic microbial consortia enable rapid assembly of pure translation machinery.

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Journal:  Nat Chem Biol       Date:  2017-11-13       Impact factor: 15.040

2.  Cotranslational folding and assembly of the dimeric Escherichia coli inner membrane protein EmrE.

Authors:  Daphne Mermans; Felix Nicolaus; Klara Fleisch; Gunnar von Heijne
Journal:  Proc Natl Acad Sci U S A       Date:  2022-08-22       Impact factor: 12.779

3.  Development and Application of Transcription Terminators for Polyhydroxylkanoates Production in Halophilic Halomonas bluephagenesis TD01.

Authors:  Mengmeng Xu; Yue Chang; Yuyan Zhang; Weizhe Wang; Jingyi Hong; Jiping Zhao; Xiaoyun Lu; Dan Tan
Journal:  Front Microbiol       Date:  2022-06-27       Impact factor: 6.064

4.  A single mutation attenuates both the transcription termination and RNA-dependent RNA polymerase activity of T7 RNA polymerase.

Authors:  Hui Wu; Ting Wei; Bingbing Yu; Rui Cheng; Fengtao Huang; Xuelin Lu; Yan Yan; Xionglue Wang; Chenli Liu; Bin Zhu
Journal:  RNA Biol       Date:  2021-07-27       Impact factor: 4.766

Review 5.  Synthetic biology outside the cell: linking computational tools to cell-free systems.

Authors:  Daniel D Lewis; Fernando D Villarreal; Fan Wu; Cheemeng Tan
Journal:  Front Bioeng Biotechnol       Date:  2014-12-09

6.  Real-time observation of CRISPR spacer acquisition by Cas1-Cas2 integrase.

Authors:  Jagat B Budhathoki; Yibei Xiao; Gabriel Schuler; Chunyi Hu; Alexander Cheng; Fran Ding; Ailong Ke
Journal:  Nat Struct Mol Biol       Date:  2020-05-04       Impact factor: 15.369

7.  Highly efficient RNAi and Cas9-based auto-cloning systems for C. elegans research.

Authors:  Ádám Sturm; Éva Saskoi; Kovács Tibor; Nóra Weinhardt; Tibor Vellai
Journal:  Nucleic Acids Res       Date:  2018-09-28       Impact factor: 16.971

8.  Enhanced regulation of prokaryotic gene expression by a eukaryotic transcriptional activator.

Authors:  I Cody MacDonald; Travis R Seamons; Jonathan C Emmons; Shwan B Javdan; Tara L Deans
Journal:  Nat Commun       Date:  2021-07-05       Impact factor: 14.919

9.  Efficient production of long double-stranded RNAs applicable to agricultural pest control by Corynebacterium glutamicum equipped with coliphage T7-expression system.

Authors:  Shuhei Hashiro; Yasuhiko Chikami; Haruka Kawaguchi; Alexander A Krylov; Teruyuki Niimi; Hisashi Yasueda
Journal:  Appl Microbiol Biotechnol       Date:  2021-06-07       Impact factor: 4.813

10.  Codon usage influences fitness through RNA toxicity.

Authors:  Pragya Mittal; James Brindle; Julie Stephen; Joshua B Plotkin; Grzegorz Kudla
Journal:  Proc Natl Acad Sci U S A       Date:  2018-08-06       Impact factor: 11.205

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