Stochasticity in gene expression in a cell-sized compartment

ACS Synth Biol. 2015 May 15;4(5):566-76. doi: 10.1021/sb500249g. Epub 2014 Oct 27.

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.

Keywords: artificial cell; fluctuation; gene expression.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Artificial Cells / metabolism*
  • Escherichia coli / genetics
  • Gene Expression / genetics*
  • Models, Biological
  • Plasmids / genetics
  • Protein Biosynthesis / genetics
  • Stochastic Processes
  • Transcription, Genetic / genetics