The DOI matches its Crossref record; 122 of the 122 references it cites were found in a registry or an index.
Metabolic Engineering of Saccharomyces cerevisiae
Open accessAbstract
SUMMARY: Comprehensive knowledge regarding Saccharomyces cerevisiae has accumulated over time, and today S. cerevisiae serves as a widley used biotechnological production organism as well as a eukaryotic model system. The high transformation efficiency, in addition to the availability of the complete yeast genome sequence, has facilitated genetic manipulation of this microorganism, and new approaches are constantly being taken to metabolicially engineer this organism in order to suit specific needs. In this paper, strategies and concepts for metabolic engineering are discussed and several examples based upon selected studies involving S. cerevisiae are reviewed. The many different studies of metabolic engineering using this organism illustrate all the categories of this multidisciplinary field: extension of substrate range, improvements of producitivity and yield, elimination of byproduct formation, improvement of process performance, improvements of cellular properties, and extension of product range including heterologous protein production.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A novel genetic system to detect protein–protein interactions
Fields, S., & Song, O.-K. (1989) · Nature · doi:10.1038/340245a0 · Cited by 6,114
Pushko, P., Pumpens, P., & Grens, E. (2013) · Intervirology · doi:10.1159/000346773 · Cited by 5,950
Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale
DeRisi, J. L., Iyer, V. R., & Brown, P. O. (1997) · Science · doi:10.1126/science.278.5338.680 · Cited by 4,456
Goffeau, A., Barrell, B. G., Bussey, H., Davis, R. W., Dujon, B., Feldmann, H., Galibert, F., Hoheisel, J. D., Jacq, C., Johnston, M., et al. (1996) · Science · doi:10.1126/science.274.5287.546 · Cited by 4,263
The Transcriptional Program of Sporulation in Budding Yeast
Chu, S., DeRisi, J., Eisen, M., Mulholland, J., Botstein, D., Brown, P. O., & Herskowitz, I. (1998) · Science · doi:10.1126/science.282.5389.699 · Cited by 1,860
KACSER, H., & Ja, B. (1973) · PubMed · Cited by 1,455
Heinrich, R., & Rapoport, T. A. (1974) · European Journal of Biochemistry · doi:10.1111/j.1432-1033.1974.tb03318.x · Cited by 1,386
Toward a Science of Metabolic Engineering
Bailey, J. E. (1991) · Science · doi:10.1126/science.2047876 · Cited by 1,165
Foreign gene expression in yeast: a review
Romanos, M. A., Scorer, C. A., & Clare, J. J. (1992) · Yeast · doi:10.1002/yea.320080602 · Cited by 1,032
Genome-wide expression monitoring in Saccharomyces cerevisiae
Wodicka, L., Dong, H., Mittmann, M., Ho, M.-H., & Lockhart, D. J. (1997) · Nature Biotechnology · doi:10.1038/nbt1297-1359 · Cited by 973
Cited by
Genome-Scale Reconstruction of the Saccharomyces cerevisiae Metabolic Network
Förster, J., Famili, I., Fu, P., Palsson, B. Ø., & Nielsen, J. (2003) · Genome Research · doi:10.1101/gr.234503 · Cited by 1,069
Self-citationConstraints to Commercialization of Algal Fuels
Chisti, Y. (2013) · Journal of Biotechnology · doi:10.1016/j.jbiotec.2013.07.020 · Cited by 719
Metabolic engineering for improved fermentation of pentoses by yeasts
Jeffries, T. W., & Jin, Y.-S. (2004) · Applied Microbiology and Biotechnology · doi:10.1007/s00253-003-1450-0 · Cited by 499
Bao, Z., Xiao, H., Liang, J., Zhang, L., Xiong, X., Sun, N., Si, T., & Zhao, H. (2015) · ACS Synthetic Biology · doi:10.1021/sb500255k · Cited by 356
Factors affecting ethanol fermentation using Saccharomyces cerevisiae BY4742
Lin, Y., Zhang, W., Li, C., Sakakibara, K., Tanaka, S., & Kong, H. (2012) · Biomass and Bioenergy · doi:10.1016/j.biombioe.2012.09.019 · Cited by 313
Metadata
- Authors
- Ostergaard, S., Olsson, L., & Nielsen, J.
- Venue
- Microbiology and Molecular Biology Reviews
- Publisher
- American Society for Microbiology
- Published
- 2000-03
- Volume
- 64
- Issue
- 1
- Pages
- 34-50
- ISSN
- 1092-2172 (ISSN-L)
- 1098-5557
- OpenAlex
- W2140670503
- Cited by
- 462
- References
- 122
- FWCI
- 0.55
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Metabolic Engineering of Saccharomyces cerevisiae. https://app.cochat.ai/papers/10.1128/mmbr.64.1.34-50.2000
- The paper
- Ostergaard, S., Olsson, L., & Nielsen, J. (2000). Metabolic Engineering of Saccharomyces cerevisiae. Microbiology and Molecular Biology Reviews. https://doi.org/10.1128/mmbr.64.1.34-50.2000
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.