Modelling and measuring intracellular competition for finite resources during gene expression

Renana Sabi, Tamir Tuller

Research output: Contribution to journalReview articlepeer-review

Abstract

Dissecting the competition between genes for shared expressional resources is of fundamental importance for understanding the interplay between cellular components. Owing to the relationship between gene expression and cellular fitness, genomes are shaped by evolution to improve resource allocation. Whereas experimental approaches to investigate intracellular competition require technical resources and human expertise, computational models and in silico simulations allow vast numbers of experiments to be carried out and controlled easily, and with significantly reduced costs. Thus, modelling competition has a pivotal role in understanding the effects of competition on the biophysics of the cell. In this article, we review various computational models proposed to describe the different types of competition during gene expression. We also present relevant synthetic biology experiments and their biotechnological implications, and discuss the open questions in the field.

Original languageEnglish
Article number20180887
JournalJournal of the Royal Society Interface
Volume16
Issue number154
DOIs
StatePublished - 1 May 2019

Keywords

  • Computational and mathematical models
  • Finite resources
  • Gene expression
  • Intracellular competition
  • Synthetic biology
  • Systems biology

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