Recent advances in systems metabolic engineering.

Metabolic Engineering Metabolic Networks and Pathways Systems Biology Synthetic Biology Genome

Journal

Current opinion in biotechnology
ISSN: 1879-0429
Titre abrégé: Curr Opin Biotechnol
Pays: England
ID NLM: 9100492

Informations de publication

Date de publication:
Dec 2023
Historique:
received: 20 07 2023
revised: 03 09 2023
accepted: 05 09 2023
medline: 1 12 2023
pubmed: 2 10 2023
entrez: 1 10 2023
Statut: ppublish

Résumé

Systems metabolic engineering, which integrates metabolic engineering with systems biology, synthetic biology, and evolutionary engineering, has revolutionized the sustainable production of fuels and materials through the creation of efficient microbial cell factories. Recent advancements in systems metabolic engineering targeting different biological components of the host cell have enabled the creation of highly productive microbial cell factories. This article provides a review of the recent tools and strategies used for enzyme-, genetic module-, pathway-, flux-, genome-, and cell-level engineering, supported by illustrative examples. Furthermore, we highlight recent trends in systems metabolic engineering, which involve the application of multiple tools discussed in this review. Finally, the paper addresses the challenges and perspectives of transitioning academic-level metabolic engineering studies to commercial-scale production.

Identifiants

DOI: 10.1016/j.copbio.2023.103004 PMID: 37778304
pubmed: 37778304
pii: S0958-1669(23)00114-3
doi: 10.1016/j.copbio.2023.103004
pii:
doi:

Types de publication

Journal Article Review

Langues

eng

Sous-ensembles de citation

IM

Pagination

103004

Informations de copyright

Copyright © 2023 Elsevier Ltd. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Taehee Han (T)

Metabolic and Biomolecular Engineering National Research Laboratory and Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, the Republic of Korea; KAIST Institute for the BioCentury and KAIST Institute for Artificial Intelligence, KAIST, Daejeon 34141, the Republic of Korea; BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, 34141 Daejeon, the Republic of Korea.

Alisher Nazarbekov (A)

Metabolic and Biomolecular Engineering National Research Laboratory and Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, the Republic of Korea; KAIST Institute for the BioCentury and KAIST Institute for Artificial Intelligence, KAIST, Daejeon 34141, the Republic of Korea.

Xuan Zou (X)

Metabolic and Biomolecular Engineering National Research Laboratory and Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, the Republic of Korea; KAIST Institute for the BioCentury and KAIST Institute for Artificial Intelligence, KAIST, Daejeon 34141, the Republic of Korea; BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, 34141 Daejeon, the Republic of Korea.

Sang Yup Lee (SY)

Metabolic and Biomolecular Engineering National Research Laboratory and Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory, Department of Chemical and Biomolecular Engineering (BK21 four), Korea Advanced Institute of Science and Technology (KAIST), Daejeon 34141, the Republic of Korea; KAIST Institute for the BioCentury and KAIST Institute for Artificial Intelligence, KAIST, Daejeon 34141, the Republic of Korea; BioProcess Engineering Research Center and BioInformatics Research Center, KAIST, 34141 Daejeon, the Republic of Korea; Graduate School of Engineering Biology, KAIST, Daejeon 34141, the Republic of Korea. Electronic address: leesy@kaist.ac.kr.

Articles similaires

Saccharomyces cerevisiae whole cell biotransformation for the production of aldehyde flavors and fragrances.

Nazreen V M Abdul Muthaliff, Yao Zong Ng, Wei Mei Guo et al.
1.00
Saccharomyces cerevisiae Aldehydes Biotransformation Flavoring Agents Lipoxygenase

Minimisation of metabolic networks defines a new functional class of genes.

Giorgio Jansen, Tanda Qi, Vito Latora et al.
1.00
Metabolic Networks and Pathways Saccharomyces cerevisiae Computational Biology Synthetic Biology Computer Simulation

Metabolic engineering of

Jae Sung Cho, Zi Wei Luo, Cheon Woo Moon et al.
1.00
Corynebacterium glutamicum Metabolic Engineering Dicarboxylic Acids Pyridines Pyrones

A cross-systems primer for synthetic microbial communities.

Elijah C Mehlferber, Gontran Arnault, Bishnu Joshi et al.
1.00
Microbiota Synthetic Biology Microbial Consortia Humans Microbial Interactions

Classifications MeSH

questionsmedicales.fr › Technologie, industrie et agriculture › Ingénierie › Bioingénierie › Ingénierie cellulaire › Génie métabolique › Recent advances in systems metabolic engineering.
questionsmedicales.fr › Métabolisme › Voies et réseaux métaboliques › Recent advances in systems metabolic engineering.
questionsmedicales.fr › Disciplines des sciences naturelles › Disciplines des sciences biologiques › Biologie › Biologie des systèmes › Recent advances in systems metabolic engineering.
questionsmedicales.fr › Technologie, industrie et agriculture › Ingénierie › Bioingénierie › Biologie synthétique › Recent advances in systems metabolic engineering.
questionsmedicales.fr › Phénomènes génétiques › Structures génétiques › Génome › Recent advances in systems metabolic engineering.