Context-dependent redesign of robust synthetic gene circuits.

circuit–host interactions control-embedded circuit design feedback context factors metabolic burden

Journal

Trends in biotechnology
ISSN: 1879-3096
Titre abrégé: Trends Biotechnol
Pays: England
ID NLM: 8310903

Informations de publication

Date de publication:
05 Feb 2024
Historique:
received: 02 11 2023
revised: 10 01 2024
accepted: 11 01 2024
medline: 7 2 2024
pubmed: 7 2 2024
entrez: 6 2 2024
Statut: aheadofprint

Résumé

Cells provide dynamic platforms for executing exogenous genetic programs in synthetic biology, resulting in highly context-dependent circuit performance. Recent years have seen an increasing interest in understanding the intricacies of circuit-host relationships, their influence on the synthetic bioengineering workflow, and in devising strategies to alleviate undesired effects. We provide an overview of how emerging circuit-host interactions, such as growth feedback and resource competition, impact both deterministic and stochastic circuit behaviors. We also emphasize control strategies for mitigating these unwanted effects. This review summarizes the latest advances and the current state of host-aware and resource-aware design of synthetic gene circuits.

Identifiants

pubmed: 38320912
pii: S0167-7799(24)00003-9
doi: 10.1016/j.tibtech.2024.01.003
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Ltd.. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of interests The authors declare no competing interests.

Auteurs

Austin Stone (A)

School of Biological and Health System Engineering, Arizona State University, Tempe, AZ 85281, USA.

Abdelrahaman Youssef (A)

School of Biological and Health System Engineering, Arizona State University, Tempe, AZ 85281, USA.

Sadikshya Rijal (S)

School of Biological and Health System Engineering, Arizona State University, Tempe, AZ 85281, USA.

Rong Zhang (R)

School of Biological and Health System Engineering, Arizona State University, Tempe, AZ 85281, USA.

Xiao-Jun Tian (XJ)

School of Biological and Health System Engineering, Arizona State University, Tempe, AZ 85281, USA. Electronic address: xiaojun.tian@asu.edu.

Classifications MeSH