Literature DB >> 25280237

Stochasticity in gene expression in a cell-sized compartment.

Kazuya Nishimura1,2, Saburo Tsuru1, Hiroaki Suzuki3,4, Tetsuya Yomo1,4,5.   

Abstract

The gene expression in a clonal cell population fluctuates significantly, and its relevance to various cellular functions is under intensive debate. A fundamental question is whether the fluctuation is a consequence of the complexity and redundancy in living cells or an inevitable attribute of the minute microreactor nature of cells. To answer this question, we constructed an artificial cell, which consists of only necessary components for the gene expression (in vitro transcription and translation system) and its boundary as a microreactor (cell-sized lipid vesicle), and investigated the gene expression noise. The variation in the expression of two fluorescent proteins was decomposed into the components that were correlated and uncorrelated between the two proteins using a method similar to the one used by Elowitz and co-workers to analyze the expression noise in E. coli. The observed fluctuation was compared with a theoretical model that expresses the amplitude of noise as a function of the average number of intermediate molecules and products. With the assumption that the transcripts are partly active, the theoretical model was able to well describe the noise in the artificial system. Furthermore, the same measurement for E. coli cells harboring an identical plasmid revealed that the E. coli exhibited a similar level of expression noise. Our results demonstrated that the level of fluctuation found in bacterial cells is mostly an intrinsic property that arises even in a primitive form of the cell.

Entities:  

Keywords:  artificial cell; fluctuation; gene expression

Mesh:

Year:  2014        PMID: 25280237     DOI: 10.1021/sb500249g

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  16 in total

Review 1.  Cell-Free Synthetic Biology: Engineering Beyond the Cell.

Authors:  Jessica G Perez; Jessica C Stark; Michael C Jewett
Journal:  Cold Spring Harb Perspect Biol       Date:  2016-12-01       Impact factor: 10.005

Review 2.  Enzymatic reactions in confined environments.

Authors:  Andreas Küchler; Makoto Yoshimoto; Sandra Luginbühl; Fabio Mavelli; Peter Walde
Journal:  Nat Nanotechnol       Date:  2016-05-05       Impact factor: 39.213

Review 3.  Investigating cell functioning by theoretical analysis of cell-to-cell variability.

Authors:  Saša Svetina
Journal:  Eur Biophys J       Date:  2017-10-06       Impact factor: 1.733

Review 4.  Droplets: unconventional protocell model with life-like dynamics and room to grow.

Authors:  Martin M Hanczyc
Journal:  Life (Basel)       Date:  2014-12-17

5.  The Low Noise Limit in Gene Expression.

Authors:  Roy D Dar; Brandon S Razooky; Leor S Weinberger; Chris D Cox; Michael L Simpson
Journal:  PLoS One       Date:  2015-10-21       Impact factor: 3.240

6.  Preservation of protein expression systems at elevated temperatures for portable therapeutic production.

Authors:  David K Karig; Seneca Bessling; Peter Thielen; Sherry Zhang; Joshua Wolfe
Journal:  J R Soc Interface       Date:  2017-04       Impact factor: 4.118

Review 7.  Artificial Cells: Synthetic Compartments with Life-like Functionality and Adaptivity.

Authors:  Bastiaan C Buddingh'; Jan C M van Hest
Journal:  Acc Chem Res       Date:  2017-01-17       Impact factor: 22.384

8.  Macromolecular crowding creates heterogeneous environments of gene expression in picolitre droplets.

Authors:  Maike M K Hansen; Lenny H H Meijer; Evan Spruijt; Roel J M Maas; Marta Ventosa Rosquelles; Joost Groen; Hans A Heus; Wilhelm T S Huck
Journal:  Nat Nanotechnol       Date:  2015-10-26       Impact factor: 39.213

Review 9.  Bacterial cell-free expression technology to in vitro systems engineering and optimization.

Authors:  Filippo Caschera
Journal:  Synth Syst Biotechnol       Date:  2017-08-07

10.  Anomalous Scaling of Gene Expression in Confined Cell-Free Reactions.

Authors:  Ryota Sakamoto; Vincent Noireaux; Yusuke T Maeda
Journal:  Sci Rep       Date:  2018-05-09       Impact factor: 4.379

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