The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Engineering of Escherichia coli central metabolism for aromatic metabolite production with near theoretical yield
Open accessAbstract
Escherichia coli and many other microorganisms synthesize aromatic amino acids through the condensation reaction between phosphoenolpyruvate (PEP) and erythrose 4-phosphate to form 3-deoxy-D-arabinoheptulosonate 7-phosphate (DAHP). It has been shown that overexpression of transketolase increases the production of DAHP in an aroB mutant strain (unable to further metabolize DAHP) with elevated DAHP synthase. However, the yield (percent conversion) of DAHP from glucose is still low. Stoichiometric analysis shows that many enzymes compete for intracellular PEP. In particular, the phosphotransferase system, responsible for glucose transport in E. coli, uses PEP as a phosphate donor and converts it to pyruvate, which is less likely to recycle back to PEP. This stoichiometric limitation greatly reduces the yield of aromatic metabolites. To relieve this limitation, we overexpressed PEP synthase in the presence of glucose and showed that it increased the final concentration and the yield of DAHP by almost twofold, to a near theoretical maximum. The PEP synthase effect is not observed without overproduced transketolase, suggesting that erythrose 4-phosphate is the first limiting metabolite. This result demonstrates the utility of pathway analysis and the limitation of central metabolites in the high-level overproduction of desired metabolites.
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
Use of Dinitrosalicylic Acid Reagent for Determination of Reducing Sugar
Miller, G. L. (1959) · Analytical Chemistry · doi:10.1021/ac60147a030 · Cited by 28,963
Lowry, O. H., Carter, J., Ward, J. B., & Glaser, L. (1971) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(19)34144-4 · Cited by 350 · cited 1×
“(14), the PEP concentration is below 0.”
Cited by
Engineering Cellular Metabolism
Nielsen, J., & Keasling, J. D. (2016) · Cell · doi:10.1016/j.cell.2016.02.004 · Cited by 1,378
Dynamic modeling of the central carbon metabolism of Escherichia coli
Chassagnole, C., Noisommit‐Rizzi, N., Schmid, J. W., Mauch, K., & Reuss, M. (2002) · Biotechnology and Bioengineering · doi:10.1002/bit.10288 · Cited by 553
Improving lycopene production in Escherichia coli by engineering metabolic control
Farmer, W. R., & Liao, J. C. (2000) · Nature Biotechnology · doi:10.1038/75398 · Cited by 522
Self-citationHenkes, S., Sonnewald, U., Badur, R., Flachmann, R., & Stitt, M. (2001) · The Plant Cell · doi:10.1105/tpc.13.3.535 · Cited by 334
Rewiring carbon metabolism in yeast for high level production of aromatic chemicals
Liu, Q., Yu, T., Li, X., Chen, Y., Campbell, K., Nielsen, J., & Chen, Y. (2019) · Nature Communications · doi:10.1038/s41467-019-12961-5 · Cited by 328
Metadata
- Authors
- Patnaik, R., & Liao, J. C.
- Venue
- Applied and Environmental Microbiology
- Publisher
- American Society for Microbiology
- Published
- 1994-11
- Volume
- 60
- Issue
- 11
- Pages
- 3903-3908
- ISSN
- 0099-2240 (ISSN-L)
- 1098-5336
- OpenAlex
- W1585571745
- Cited by
- 208
- References
- 2
- FWCI
- 1.84
- 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: Engineering of Escherichia coli central metabolism for aromatic metabolite production with near theoretical yield. https://app.cochat.ai/papers/10.1128/aem.60.11.3903-3908.1994
- The paper
- Patnaik, R., & Liao, J. C. (1994). Engineering of Escherichia coli central metabolism for aromatic metabolite production with near theoretical yield. Applied and Environmental Microbiology. https://doi.org/10.1128/aem.60.11.3903-3908.1994
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.