Literature DB >> 21601672

The ribosome binding site calculator.

Howard M Salis1.   

Abstract

The Ribosome Binding Site (RBS) Calculator is a design method for predicting and controlling translation initiation and protein expression in bacteria. The method can predict the rate of translation initiation for every start codon in an mRNA transcript. The method may also optimize a synthetic RBS sequence to achieve a targeted translation initiation rate. Using the RBS Calculator, a protein coding sequence's translation rate may be rationally controlled across a 100,000+ fold range. We begin by providing an overview of the potential biotechnology applications of the RBS Calculator, including the optimization of synthetic metabolic pathways and genetic circuits. We then detail the definitions, methodologies, and algorithms behind the RBS Calculator's thermodynamic model and optimization method. Finally, we outline a protocol for precisely measuring steady-state fluorescent protein expression levels. These methods and protocols provide a clear explanation of the RBS Calculator and its uses.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21601672     DOI: 10.1016/B978-0-12-385120-8.00002-4

Source DB:  PubMed          Journal:  Methods Enzymol        ISSN: 0076-6879            Impact factor:   1.600


  127 in total

Review 1.  Computational tools for the synthetic design of biochemical pathways.

Authors:  Marnix H Medema; Renske van Raaphorst; Eriko Takano; Rainer Breitling
Journal:  Nat Rev Microbiol       Date:  2012-01-23       Impact factor: 60.633

2.  Predictable tuning of protein expression in bacteria.

Authors:  Mads T Bonde; Margit Pedersen; Michael S Klausen; Sheila I Jensen; Tune Wulff; Scott Harrison; Alex T Nielsen; Markus J Herrgård; Morten O A Sommer
Journal:  Nat Methods       Date:  2016-01-11       Impact factor: 28.547

3.  Precise quantification of translation inhibition by mRNA structures that overlap with the ribosomal footprint in N-terminal coding sequences.

Authors:  Amin Espah Borujeni; Daniel Cetnar; Iman Farasat; Ashlee Smith; Natasha Lundgren; Howard M Salis
Journal:  Nucleic Acids Res       Date:  2017-05-19       Impact factor: 16.971

Review 4.  Engineering biological systems toward a sustainable bioeconomy.

Authors:  Mateus Schreiner Garcez Lopes
Journal:  J Ind Microbiol Biotechnol       Date:  2015-04-07       Impact factor: 3.346

5.  Quantifying cellular capacity identifies gene expression designs with reduced burden.

Authors:  Francesca Ceroni; Rhys Algar; Guy-Bart Stan; Tom Ellis
Journal:  Nat Methods       Date:  2015-04-06       Impact factor: 28.547

6.  PERSIA for Direct Fluorescence Measurements of Transcription, Translation, and Enzyme Activity in Cell-Free Systems.

Authors:  Scott Wick; David I Walsh; Johanna Bobrow; Kimberly Hamad-Schifferli; David S Kong; Todd Thorsen; Keri Mroszczyk; Peter A Carr
Journal:  ACS Synth Biol       Date:  2019-04-30       Impact factor: 5.110

7.  Multiplex genome editing by natural transformation.

Authors:  Ankur B Dalia; EmilyKate McDonough; Andrew Camilli
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-02       Impact factor: 11.205

8.  The hydroxyectoine gene cluster of the non-halophilic acidophile Acidiphilium cryptum.

Authors:  Katharina D Moritz; Birgit Amendt; Elisabeth M H J Witt; Erwin A Galinski
Journal:  Extremophiles       Date:  2014-08-21       Impact factor: 2.395

9.  Emergent rules for codon choice elucidated by editing rare arginine codons in Escherichia coli.

Authors:  Michael G Napolitano; Matthieu Landon; Christopher J Gregg; Marc J Lajoie; Lakshmi Govindarajan; Joshua A Mosberg; Gleb Kuznetsov; Daniel B Goodman; Oscar Vargas-Rodriguez; Farren J Isaacs; Dieter Söll; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-06       Impact factor: 11.205

Review 10.  Toward a genetic tool development pipeline for host-associated bacteria.

Authors:  Matthew C Waller; Josef R Bober; Nikhil U Nair; Chase L Beisel
Journal:  Curr Opin Microbiol       Date:  2017-06-15       Impact factor: 7.934

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