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Cited by 270

The DOI matches its Crossref record; 29 of the 29 references it cites were found in a registry or an index.

Production of biopharmaceutical proteins by yeast: Advances through metabolic engineering

Open access
Nielsen, Jens·2013·Bioengineered

Abstract

Production of recombinant proteins for use as pharmaceuticals, so-called biopharmaceuticals, is a multi-billion dollar industry. Many different cell factories are used for the production of biopharmaceuticals, but the yeast Saccharomyces cerevisiae is an important cell factory as it is used for production of several large volume products. Insulin and insulin analogs are by far the dominating biopharmaceuticals produced by yeast, and this will increase as the global insulin market is expected to grow from USD12B in 2011 to more than USD32B by 2018. Other important biopharmaceuticals produced by yeast are human serum albumin, hepatitis vaccines and virus like particles used for vaccination against human papillomavirus. Here is given a brief overview of biopharmaceutical production by yeast and it is discussed how the secretory pathway can be engineered to ensure more efficient protein production. The involvement of directed metabolic engineering through the integration of tools from genetic engineering, systems biology and mathematical modeling, is also discussed.

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Crossref · 10.4161/bioe.22856

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Metadata

Authors
Nielsen, J.
Venue
Bioengineered
Published
2013-07
Volume
4
Issue
4
Pages
207-211
ISSN
  • 2165-5979 (ISSN-L)
  • 2165-5987
OpenAlex
W1487841058
Cited by
270
References
29
FWCI
4.84
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Production of biopharmaceutical proteins by yeast: Advances through metabolic engineering. https://app.cochat.ai/papers/10.4161/bioe.22856
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Nielsen, J. (2013). Production of biopharmaceutical proteins by yeast: Advances through metabolic engineering. Bioengineered. https://doi.org/10.4161/bioe.22856

Data sources

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.