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Cited by 260

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Introduction and expression of genes for metabolic engineering applications in Saccharomyces cerevisiae

Open access
Da Silva, Nancy A., Srikrishnan, Sneha·2012·FEMS Yeast Research

Abstract

Metabolic pathway engineering in the yeast Saccharomyces cerevisiae leads to improved production of a wide range of compounds, ranging from ethanol (from biomass) to natural products such as sesquiterpenes. The introduction of multienzyme pathways requires precise control over the level and timing of expression of the associated genes. Gene number and promoter strength/regulation are two critical control points, and multiple studies have focused on modulating these in yeast. This MiniReview focuses on methods for introducing genes and controlling their copy number and on the many promoters (both constitutive and inducible) that have been successfully employed. The advantages and disadvantages of the methods will be presented, and applications to pathway engineering will be highlighted.

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Crossref · 10.1111/j.1567-1364.2011.00769.x

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Metadata

Authors
Da Silva, N. A., & Srikrishnan, S.
Venue
FEMS Yeast Research
Published
2012-01-12
Volume
12
Issue
2
Pages
197-214
ISSN
1567-1356 (ISSN-L)
OpenAlex
W2083149221
Cited by
260
References
7
FWCI
3.88
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Introduction and expression of genes for metabolic engineering applications in Saccharomyces cerevisiae. https://app.cochat.ai/papers/10.1111/j.1567-1364.2011.00769.x
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Da Silva, N. A., & Srikrishnan, S. (2012). Introduction and expression of genes for metabolic engineering applications in Saccharomyces cerevisiae. FEMS Yeast Research. https://doi.org/10.1111/j.1567-1364.2011.00769.x

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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.