Literature DB >> 23727987

Characterization of 582 natural and synthetic terminators and quantification of their design constraints.

Ying-Ja Chen1, Peng Liu, Alec A K Nielsen, Jennifer A N Brophy, Kevin Clancy, Todd Peterson, Christopher A Voigt.   

Abstract

Large genetic engineering projects require more cistrons and consequently more strong and reliable transcriptional terminators. We have measured the strengths of a library of terminators, including 227 that are annotated in Escherichia coli--90 of which we also tested in the reverse orientation--and 265 synthetic terminators. Within this library we found 39 strong terminators, yielding >50-fold reduction in downstream expression, that have sufficient sequence diversity to reduce homologous recombination when used together in a design. We used these data to determine how the terminator sequence contributes to its strength. The dominant parameters were incorporated into a biophysical model that considers the role of the hairpin in the displacement of the U-tract from the DNA. The availability of many terminators of varying strength, as well as an understanding of the sequence dependence of their properties, will extend their usability in the forward design of synthetic cistrons.

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Year:  2013        PMID: 23727987     DOI: 10.1038/nmeth.2515

Source DB:  PubMed          Journal:  Nat Methods        ISSN: 1548-7091            Impact factor:   28.547


  38 in total

1.  Conserved economics of transcription termination in eubacteria.

Authors:  Shyam Unniraman; Ranjana Prakash; Valakunja Nagaraja
Journal:  Nucleic Acids Res       Date:  2002-02-01       Impact factor: 16.971

2.  Shortening of RNA:DNA hybrid in the elongation complex of RNA polymerase is a prerequisite for transcription termination.

Authors:  Natalia Komissarova; Jodi Becker; Stephanie Solter; Maria Kireeva; Mikhail Kashlev
Journal:  Mol Cell       Date:  2002-11       Impact factor: 17.970

3.  Transcript elongation and termination are competitive kinetic processes.

Authors:  P H von Hippel; T D Yager
Journal:  Proc Natl Acad Sci U S A       Date:  1991-03-15       Impact factor: 11.205

4.  DNA-RNA hybrid duplexes containing oligo(dA:rU) sequences are exceptionally unstable and may facilitate termination of transcription.

Authors:  F H Martin; I Tinoco
Journal:  Nucleic Acids Res       Date:  1980-05-24       Impact factor: 16.971

5.  Termination and slippage by bacteriophage T7 RNA polymerase.

Authors:  L E Macdonald; Y Zhou; W T McAllister
Journal:  J Mol Biol       Date:  1993-08-20       Impact factor: 5.469

6.  Designing and engineering evolutionary robust genetic circuits.

Authors:  Sean C Sleight; Bryan A Bartley; Jane A Lieviant; Herbert M Sauro
Journal:  J Biol Eng       Date:  2010-11-01       Impact factor: 4.355

7.  WebGeSTer DB--a transcription terminator database.

Authors:  Anirban Mitra; Anil K Kesarwani; Debnath Pal; Valakunja Nagaraja
Journal:  Nucleic Acids Res       Date:  2010-10-23       Impact factor: 16.971

8.  Prediction of transcriptional terminators in Bacillus subtilis and related species.

Authors:  Michiel J L de Hoon; Yuko Makita; Kenta Nakai; Satoru Miyano
Journal:  PLoS Comput Biol       Date:  2005-08-12       Impact factor: 4.475

9.  Measurement and modeling of intrinsic transcription terminators.

Authors:  Guillaume Cambray; Joao C Guimaraes; Vivek K Mutalik; Colin Lam; Quynh-Anh Mai; Tim Thimmaiah; James M Carothers; Adam P Arkin; Drew Endy
Journal:  Nucleic Acids Res       Date:  2013-03-19       Impact factor: 16.971

10.  RegulonDB (version 6.0): gene regulation model of Escherichia coli K-12 beyond transcription, active (experimental) annotated promoters and Textpresso navigation.

Authors:  Socorro Gama-Castro; Verónica Jiménez-Jacinto; Martín Peralta-Gil; Alberto Santos-Zavaleta; Mónica I Peñaloza-Spinola; Bruno Contreras-Moreira; Juan Segura-Salazar; Luis Muñiz-Rascado; Irma Martínez-Flores; Heladia Salgado; César Bonavides-Martínez; Cei Abreu-Goodger; Carlos Rodríguez-Penagos; Juan Miranda-Ríos; Enrique Morett; Enrique Merino; Araceli M Huerta; Luis Treviño-Quintanilla; Julio Collado-Vides
Journal:  Nucleic Acids Res       Date:  2007-12-23       Impact factor: 16.971

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  153 in total

1.  Building a better stop sign: understanding the signals that terminate transcription.

Authors:  Rachel Anne Mooney; Robert Landick
Journal:  Nat Methods       Date:  2013-07       Impact factor: 28.547

2.  Using synthetic biology to overcome barriers to stable expression of nitrogenase in eukaryotic organelles.

Authors:  Nan Xiang; Chenyue Guo; Jiwei Liu; Hao Xu; Ray Dixon; Jianguo Yang; Yi-Ping Wang
Journal:  Proc Natl Acad Sci U S A       Date:  2020-06-29       Impact factor: 11.205

Review 3.  Predictive biology: modelling, understanding and harnessing microbial complexity.

Authors:  Allison J Lopatkin; James J Collins
Journal:  Nat Rev Microbiol       Date:  2020-05-29       Impact factor: 60.633

4.  Construction and Optimization of a Heterologous Pathway for Protocatechuate Catabolism in Escherichia coli Enables Bioconversion of Model Aromatic Compounds.

Authors:  Sonya M Clarkson; Richard J Giannone; Donna M Kridelbaugh; James G Elkins; Adam M Guss; Joshua K Michener
Journal:  Appl Environ Microbiol       Date:  2017-08-31       Impact factor: 4.792

5.  Functional optimization of gene clusters by combinatorial design and assembly.

Authors:  Michael J Smanski; Swapnil Bhatia; Dehua Zhao; YongJin Park; Lauren B A Woodruff; Georgia Giannoukos; Dawn Ciulla; Michele Busby; Johnathan Calderon; Robert Nicol; D Benjamin Gordon; Douglas Densmore; Christopher A Voigt
Journal:  Nat Biotechnol       Date:  2014-11-24       Impact factor: 54.908

6.  Using synthetic RNAs as scaffolds and regulators.

Authors:  Cameron Myhrvold; Pamela A Silver
Journal:  Nat Struct Mol Biol       Date:  2015-01       Impact factor: 15.369

7.  Improved L-ornithine production in Corynebacterium crenatum by introducing an artificial linear transacetylation pathway.

Authors:  Qunfeng Shu; Meijuan Xu; Jing Li; Taowei Yang; Xian Zhang; Zhenghong Xu; Zhiming Rao
Journal:  J Ind Microbiol Biotechnol       Date:  2018-05-04       Impact factor: 3.346

Review 8.  Engineering reduced evolutionary potential for synthetic biology.

Authors:  Brian A Renda; Michael J Hammerling; Jeffrey E Barrick
Journal:  Mol Biosyst       Date:  2014-02-21

Review 9.  Quantitative bacterial transcriptomics with RNA-seq.

Authors:  James P Creecy; Tyrrell Conway
Journal:  Curr Opin Microbiol       Date:  2014-12-05       Impact factor: 7.934

10.  Engineered dCas9 with reduced toxicity in bacteria: implications for genetic circuit design.

Authors:  Shuyi Zhang; Christopher A Voigt
Journal:  Nucleic Acids Res       Date:  2018-11-16       Impact factor: 16.971

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