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Cited by 332

The DOI matches its Crossref record; 263 of the 263 references it cites were found in a registry or an index.

Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications

Open access
Lian, Jiazhang, Mishra, Shekhar, Zhao, Huimin·2018·Metabolic Engineering

Abstract

Metabolic engineering aims to develop efficient cell factories by rewiring cellular metabolism. As one of the most commonly used cell factories, Saccharomyces cerevisiae has been extensively engineered to produce a wide variety of products at high levels from various feedstocks. In this review, we summarize the recent development of metabolic engineering approaches to modulate yeast metabolism with representative examples. Particularly, we highlight new tools for biosynthetic pathway optimization (i.e. combinatorial transcriptional engineering and dynamic metabolic flux control) and genome engineering (i.e. clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated (Cas) system based genome engineering and RNA interference assisted genome evolution) to advance metabolic engineering in yeast. We also discuss the challenges and perspectives for high throughput metabolic engineering.

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Metadata

Authors
Lian, J., Mishra, S., & Zhao, H.
Venue
Metabolic Engineering
Publisher
Elsevier BV
Published
2018-11
Volume
50
Pages
85-108
ISSN
1096-7176 (ISSN-L)
OpenAlex
W2801954748
Cited by
332
References
263
FWCI
11.07
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications. https://app.cochat.ai/papers/10.1016/j.ymben.2018.04.011
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Lian, J., Mishra, S., & Zhao, H. (2018). Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications. Metabolic Engineering. https://doi.org/10.1016/j.ymben.2018.04.011

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.