Literature DB >> 20727358

Multifactorial determinants of protein expression in prokaryotic open reading frames.

Malin Allert1, J Colin Cox, Homme W Hellinga.   

Abstract

A quantitative description of the relationship between protein expression levels and open reading frame (ORF) nucleotide sequences is important for understanding natural systems, designing synthetic systems, and optimizing heterologous expression. Codon identity, mRNA secondary structure, and nucleotide composition within ORFs markedly influence expression levels. Bioinformatic analysis of ORF sequences in 816 bacterial genomes revealed that these features show distinct regional trends. To investigate their effects on protein expression, we designed 285 synthetic genes and determined corresponding expression levels in vitro using Escherichia coli extracts. We developed a mathematical function, parameterized using this synthetic gene data set, which enables computation of protein expression levels from ORF nucleotide sequences. In addition to its practical application in the design of heterologous expression systems, this equation provides mechanistic insight into the factors that control translation efficiency. We found that expression is strongly dependent on the presence of high AU content and low secondary structure in the ORF 5' region. Choice of high-frequency codons contributes to a lesser extent. The 3' terminal AU content makes modest, but detectable contributions. We present a model for the effect of these factors on the three phases of ribosomal function: initiation, elongation, and termination.
Copyright © 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20727358      PMCID: PMC2963087          DOI: 10.1016/j.jmb.2010.08.010

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  53 in total

1.  An evolutionarily conserved mechanism for controlling the efficiency of protein translation.

Authors:  Tamir Tuller; Asaf Carmi; Kalin Vestsigian; Sivan Navon; Yuval Dorfan; John Zaborske; Tao Pan; Orna Dahan; Itay Furman; Yitzhak Pilpel
Journal:  Cell       Date:  2010-04-16       Impact factor: 41.582

Review 2.  Chemical synthesis using synthetic biology.

Authors:  James M Carothers; Jonathan A Goler; Jay D Keasling
Journal:  Curr Opin Biotechnol       Date:  2009-08-31       Impact factor: 9.740

Review 3.  Global signatures of protein and mRNA expression levels.

Authors:  Raquel de Sousa Abreu; Luiz O Penalva; Edward M Marcotte; Christine Vogel
Journal:  Mol Biosyst       Date:  2009-10-01

4.  The presence of a common downstream box enables the simultaneous expression of multiple proteins in an E. coli extract.

Authors:  Jung-Won Keum; Jin-Ho Ahn; Cha-Yong Choi; Kyung-Ho Lee; Yong-Chan Kwon; Dong-Myung Kim
Journal:  Biochem Biophys Res Commun       Date:  2006-09-25       Impact factor: 3.575

5.  Translation efficiency is determined by both codon bias and folding energy.

Authors:  Tamir Tuller; Yedael Y Waldman; Martin Kupiec; Eytan Ruppin
Journal:  Proc Natl Acad Sci U S A       Date:  2010-02-02       Impact factor: 11.205

6.  Coding-sequence determinants of gene expression in Escherichia coli.

Authors:  Grzegorz Kudla; Andrew W Murray; David Tollervey; Joshua B Plotkin
Journal:  Science       Date:  2009-04-10       Impact factor: 47.728

Review 7.  DEAD-box RNA helicases in Escherichia coli.

Authors:  Isabelle Iost; Marc Dreyfus
Journal:  Nucleic Acids Res       Date:  2006-08-25       Impact factor: 16.971

8.  Synthetic biology: new engineering rules for an emerging discipline.

Authors:  Ernesto Andrianantoandro; Subhayu Basu; David K Karig; Ron Weiss
Journal:  Mol Syst Biol       Date:  2006-05-16       Impact factor: 11.429

9.  Gene composer: database software for protein construct design, codon engineering, and gene synthesis.

Authors:  Don Lorimer; Amy Raymond; John Walchli; Mark Mixon; Adrienne Barrow; Ellen Wallace; Rena Grice; Alex Burgin; Lance Stewart
Journal:  BMC Biotechnol       Date:  2009-04-21       Impact factor: 2.563

10.  Design parameters to control synthetic gene expression in Escherichia coli.

Authors:  Mark Welch; Sridhar Govindarajan; Jon E Ness; Alan Villalobos; Austin Gurney; Jeremy Minshull; Claes Gustafsson
Journal:  PLoS One       Date:  2009-09-14       Impact factor: 3.240

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  40 in total

1.  Composability of regulatory sequences controlling transcription and translation in Escherichia coli.

Authors:  Sriram Kosuri; Daniel B Goodman; Guillaume Cambray; Vivek K Mutalik; Yuan Gao; Adam P Arkin; Drew Endy; George M Church
Journal:  Proc Natl Acad Sci U S A       Date:  2013-08-07       Impact factor: 11.205

2.  Visualization of synaptic inhibition with an optogenetic sensor developed by cell-free protein engineering automation.

Authors:  Joshua S Grimley; Li Li; Weina Wang; Lei Wen; Lorena S Beese; Homme W Hellinga; George J Augustine
Journal:  J Neurosci       Date:  2013-10-09       Impact factor: 6.167

3.  Structure of the Escherichia coli phosphonate binding protein PhnD and rationally optimized phosphonate biosensors.

Authors:  Ismael Alicea; Jonathan S Marvin; Aleksandr E Miklos; Andrew D Ellington; Loren L Looger; Eric R Schreiter
Journal:  J Mol Biol       Date:  2011-10-12       Impact factor: 5.469

Review 4.  Manipulating the genetic code for membrane protein production: what have we learnt so far?

Authors:  Morten H H Nørholm; Sara Light; Minttu T I Virkki; Arne Elofsson; Gunnar von Heijne; Daniel O Daley
Journal:  Biochim Biophys Acta       Date:  2011-08-22

5.  Rationally designed, heterologous S. cerevisiae transcripts expose novel expression determinants.

Authors:  Tuval Ben-Yehezkel; Shimshi Atar; Hadas Zur; Alon Diament; Eli Goz; Tzipy Marx; Rafael Cohen; Alexandra Dana; Anna Feldman; Ehud Shapiro; Tamir Tuller
Journal:  RNA Biol       Date:  2015       Impact factor: 4.652

6.  Integration of cell-free protein coexpression with an enzyme-linked immunosorbent assay enables rapid analysis of protein-protein interactions directly from DNA.

Authors:  Curtis J Layton; Homme W Hellinga
Journal:  Protein Sci       Date:  2011-07-15       Impact factor: 6.725

Review 7.  Engineering genes for predictable protein expression.

Authors:  Claes Gustafsson; Jeremy Minshull; Sridhar Govindarajan; Jon Ness; Alan Villalobos; Mark Welch
Journal:  Protein Expr Purif       Date:  2012-03-08       Impact factor: 1.650

Review 8.  How do bacteria tune translation efficiency?

Authors:  Gene-Wei Li
Journal:  Curr Opin Microbiol       Date:  2015-01-28       Impact factor: 7.934

9.  A selective force favoring increased G+C content in bacterial genes.

Authors:  Rahul Raghavan; Yogeshwar D Kelkar; Howard Ochman
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-20       Impact factor: 11.205

10.  Aglycosylated antibodies and antibody fragments produced in a scalable in vitro transcription-translation system.

Authors:  Gang Yin; Eudean D Garces; Junhao Yang; Juan Zhang; Cuong Tran; Alexander R Steiner; Christine Roos; Sunil Bajad; Susan Hudak; Kalyani Penta; James Zawada; Sonia Pollitt; Christopher J Murray
Journal:  MAbs       Date:  2012-03-01       Impact factor: 5.857

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