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Cited by 455

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

De novo production of the plant-derived alkaloid strictosidine in yeast

Open access
Brown, Stephanie, Clastre, Marc, Courdavault, Vincent, O’Connor, Sarah E.·2015·Proceedings of the National Academy of Sciences

Abstract

Significance: Plants make a wide variety of complex molecules with potent biological activities including several anticancer therapeutics. Unfortunately, plants often produce these molecules in low amounts, making them expensive to obtain. Engineering simpler organisms, such as yeast, to produce these plant-derived compounds provides one solution to production challenges. One group of plant-derived molecules, the monoterpene indole alkaloids, is synthesized from a common intermediate, strictosidine. Here, we report how we developed a yeast strain that produces strictosidine. This required introducing 21 new genes and three gene deletions into the yeast genome. This yeast strain provides an important resource for the production of expensive, complex molecules that plants normally produce in small amounts.

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Crossref · 10.1073/pnas.1423555112

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Metadata

Authors
Brown, S., Clastre, M., Courdavault, V., & O’Connor, S. E.
Venue
Proceedings of the National Academy of Sciences
Published
2015-02-09
Volume
112
Issue
11
Pages
3205-3210
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2011945340
Cited by
455
References
2
FWCI
16.34
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: De novo production of the plant-derived alkaloid strictosidine in yeast. https://app.cochat.ai/papers/10.1073/pnas.1423555112
The paper
Brown, S., Clastre, M., Courdavault, V., & O’Connor, S. E. (2015). De novo production of the plant-derived alkaloid strictosidine in yeast. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1423555112

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

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.