Genome-driven cell engineering review: In vivo and in silico metabolic and genome engineering

Sophie Landon, Joshua Rees, Lucia Marucci*, Claire Grierson

*Corresponding author for this work

Research output: Contribution to journalReview article (Academic Journal)peer-review

9 Citations (Scopus)
250 Downloads (Pure)


Producing ‘designer cells’ with specific functions is potentially feasible in the near future. Recent developments, including whole-cell models, genome design algorithms and gene editing tools, have advanced the possibility of combining biological research and mathematical modelling to further understand and better design cellular processes. In this review, we will explore computational and experimental approaches used for metabolic and genome design. We will highlight the relevance of modelling in this process, and challenges associated with the generation of quantitative predictions about cell behaviour as a whole: although many cellular processes are well understood at the subsystem level, it has proved a hugely complex task to integrate separate components together to model and study an entire cell. We explore these developments, highlighting where computational design algorithms compensate for missing cellular information and underlining where computational models can complement and reduce lab experimentation. We will examine issues and illuminate the next steps for genome engineering.

Original languageEnglish
Pages (from-to)267-284
Number of pages18
JournalEssays in Biochemistry
Issue number2
Early online date26 Jun 2019
Publication statusPublished - 3 Jul 2019

Structured keywords

  • Genome Design


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