Literature DB >> 18352063

Plasmid-borne prokaryotic gene expression: sources of variability and quantitative system characterization.

Sangram Bagh1, Mostafizur Mazumder, Tharsan Velauthapillai, Vandit Sardana, Guang Qiang Dong, Ashok B Movva, Len H Lim, David R McMillen.   

Abstract

One aim of synthetic biology is to exert systematic control over cellular behavior, either for medical purposes or to "program" microorganisms. An engineering approach to the design of biological controllers demands a quantitative understanding of the dynamics of both the system to be controlled and the controllers themselves. Here we focus on a widely used method of exerting control in bacterial cells: plasmid vectors bearing gene-promoter pairs. We study two variants of the simplest such element, an unregulated promoter constitutively expressing its gene, against the varying genomic background of four Escherichia coli cell strains. Absolute protein numbers and rates of expression vary with both cell strain and plasmid type, as does the variability of expression across the population. Total variability is most strongly coupled to the cell division process, and after cell size is scaled away, plasmid copy number regulation emerges as a significant effect. We present simple models that capture the main features of the system behavior. Our results confirm that complex interactions between plasmids and their hosts can have significant effects on both expression and variability, even in deliberately simplified systems.

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Year:  2008        PMID: 18352063     DOI: 10.1103/PhysRevE.77.021919

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

Review 1.  The second wave of synthetic biology: from modules to systems.

Authors:  Priscilla E M Purnick; Ron Weiss
Journal:  Nat Rev Mol Cell Biol       Date:  2009-06       Impact factor: 94.444

2.  Fine-tuning gene networks using simple sequence repeats.

Authors:  Robert G Egbert; Eric Klavins
Journal:  Proc Natl Acad Sci U S A       Date:  2012-08-27       Impact factor: 11.205

3.  SynBioSS-aided design of synthetic biological constructs.

Authors:  Yiannis N Kaznessis
Journal:  Methods Enzymol       Date:  2011       Impact factor: 1.600

4.  A frame-shifted gene, which rescued its function by non-natural start codons and its application in constructing synthetic gene circuits.

Authors:  Kathakali Sarkar; Sayak Mukhopadhyay; Deepro Bonnerjee; Rajkamal Srivastava; Sangram Bagh
Journal:  J Biol Eng       Date:  2019-03-01       Impact factor: 4.355

5.  Statistical lower bounds on protein copy number from fluorescence expression images.

Authors:  Lee Zamparo; Theodore J Perkins
Journal:  Bioinformatics       Date:  2009-07-02       Impact factor: 6.937

6.  Increasing the efficiency of bacterial transcription simulations: when to exclude the genome without loss of accuracy.

Authors:  Marco A J Iafolla; Guang Qiang Dong; David R McMillen
Journal:  BMC Bioinformatics       Date:  2008-09-12       Impact factor: 3.169

  6 in total

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