Literature DB >> 7685825

Synthesis of proteins in Escherichia coli is limited by the concentration of free ribosomes. Expression from reporter genes does not always reflect functional mRNA levels.

J Vind1, M A Sørensen, M D Rasmussen, S Pedersen.   

Abstract

Induction of beta-galactosidase from high copy-number plasmids was found to reduce the synthesis of other cellular proteins in Escherichia coli. The reduction depends on the protein in question and on the induction level of the beta-galactosidase. It could be observed transiently within one minute after induction and in some cases also during steady-state induction. Our interpretation is that the concentration of the free ribosomal subunits decreases after induction, leading to an increased competition among the individual ribosome binding sites for ribosomes. The immediate reduction in the synthesis individual proteins after induction of beta-galactosidase was used as an assay to measure in vivo the efficiency of a ribosome binding site. These efficiencies were compared to the calculated affinities between the ribosome binding site of specific mRNA species and the 3' end of 16 S RNA. For several mRNAs with similar Shine-Dalgarno sequences, the sensitivity to competition differed twofold. Our results show, that both transiently during induction of lacZ and also at very high steady-state expression levels, the expression from reporter genes, including the lacZ gene itself, does not reflect the levels of the mRNAs in a simple way.

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Year:  1993        PMID: 7685825     DOI: 10.1006/jmbi.1993.1319

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


  61 in total

1.  Sequestration of specific tRNA species cognate to the last sense codon of an overproduced gratuitous protein.

Authors:  J Menez; V Heurgué-Hamard; R H Buckingham
Journal:  Nucleic Acids Res       Date:  2000-12-01       Impact factor: 16.971

2.  Engineering Escherichia coli for increased productivity of serine-rich proteins based on proteome profiling.

Authors:  Mee-Jung Han; Ki Jun Jeong; Jong-Shin Yoo; Sang Yup Lee
Journal:  Appl Environ Microbiol       Date:  2003-10       Impact factor: 4.792

3.  Small and Large Ribosomal Subunit Deficiencies Lead to Distinct Gene Expression Signatures that Reflect Cellular Growth Rate.

Authors:  Ze Cheng; Christopher Frederick Mugler; Abdurrahman Keskin; Stefanie Hodapp; Leon Yen-Lee Chan; Karsten Weis; Philipp Mertins; Aviv Regev; Marko Jovanovic; Gloria Ann Brar
Journal:  Mol Cell       Date:  2018-11-29       Impact factor: 17.970

4.  An algorithmic framework for genome-wide modeling and analysis of translation networks.

Authors:  Amit Mehra; Vassily Hatzimanikatis
Journal:  Biophys J       Date:  2005-11-18       Impact factor: 4.033

5.  Heterologous protein production in Escherichia coli using the propionate-inducible pPro system by conventional and auto-induction methods.

Authors:  Sung Kuk Lee; Jay D Keasling
Journal:  Protein Expr Purif       Date:  2008-06-27       Impact factor: 1.650

6.  A superresolution census of RNA polymerase.

Authors:  Stefan Klumpp
Journal:  Biophys J       Date:  2013-12-17       Impact factor: 4.033

7.  Molecular crowding limits translation and cell growth.

Authors:  Stefan Klumpp; Matthew Scott; Steen Pedersen; Terence Hwa
Journal:  Proc Natl Acad Sci U S A       Date:  2013-09-30       Impact factor: 11.205

8.  Cell responses only partially shape cell-to-cell variations in protein abundances in Escherichia coli chemotaxis.

Authors:  Sayak Mukherjee; Sang-Cheol Seok; Veronica J Vieland; Jayajit Das
Journal:  Proc Natl Acad Sci U S A       Date:  2013-10-28       Impact factor: 11.205

Review 9.  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

10.  Nonlinear fitness landscape of a molecular pathway.

Authors:  Lilia Perfeito; Stéphane Ghozzi; Johannes Berg; Karin Schnetz; Michael Lässig
Journal:  PLoS Genet       Date:  2011-07-21       Impact factor: 5.917

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