The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.
Dynamic regulation of metabolic flux in engineered bacteria using a pathway-independent quorum-sensing circuit
Open accessAbstract
Metabolic engineering of microorganisms to produce desirable products on an industrial scale can result in unbalanced cellular metabolic networks that reduce productivity and yield. Metabolic fluxes can be rebalanced using dynamic pathway regulation, but few broadly applicable tools are available to achieve this. We present a pathway-independent genetic control module that can be used to dynamically regulate the expression of target genes. We apply our module to identify the optimal point to redirect glycolytic flux into heterologous engineered pathways in Escherichia coli, resulting in titers of myo-inositol increased 5.5-fold and titers of glucaric acid increased from unmeasurable to >0.8 g/L, compared to the parent strains lacking dynamic flux control. Scaled-up production of these strains in benchtop bioreactors resulted in almost ten- and fivefold increases in specific titers of myo-inositol and glucaric acid, respectively. We also used our module to control flux into aromatic amino acid biosynthesis to increase titers of shikimate in E. coli from unmeasurable to >100 mg/L.
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
Construction of Escherichia coli K‐12 in‐frame, single‐gene knockout mutants: the Keio collection
Baba, T., Ara, T., Hasegawa, M., Takai, Y., Okumura, Y., Baba, M., Datsenko, K. A., Tomita, M., Wanner, B. L., & Mori, H. (2006) · Molecular Systems Biology · doi:10.1038/msb4100050 · Cited by 7,858
Protein production by auto-induction in high-density shaking cultures
Studier, F. W. (2005) · Protein Expression and Purification · doi:10.1016/j.pep.2005.01.016 · Cited by 5,931
Werpy, T., & Petersen, G. (2004) · doi:10.2172/15008859 · Cited by 3,201
Engineering a mevalonate pathway in Escherichia coli for production of terpenoids
Martin, V. J. J., Pitera, D. J., Withers, S. T., Newman, J. D., & Keasling, J. D. (2003) · Nature Biotechnology · doi:10.1038/nbt833 · Cited by 1,725
Kim, C. U., Lew, W., Williams, M. A., Liu, H., Zhang, L., Swaminathan, S., Bischofberger, N., Chen, M. S., Mendel, D. B., Tai, C. Y., et al. (1997) · Journal of the American Chemical Society · doi:10.1021/ja963036t · Cited by 1,100
Precise and reliable gene expression via standard transcription and translation initiation elements
Mutalik, V. K., Guimaraes, J. C., Cambray, G., Lam, C., Christoffersen, M. J., Mai, Q.-A., Tran, A. B., Paull, M., Keasling, J. D., Arkin, A. P., et al. (2013) · Nature Methods · doi:10.1038/nmeth.2404 · Cited by 764
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
Improving fatty acids production by engineering dynamic pathway regulation and metabolic control
Xu, P., Li, L., Zhang, F., Stephanopoulos, G., & Koffas, M. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1406401111 · Cited by 487
A synthetic Escherichia coli predator–prey ecosystem
Balagaddé, F. K., Song, H., Ozaki, J., Collins, C. H., Barnet, M., Arnold, F. H., Quake, S. R., & You, L. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.24 · Cited by 482
Engineering dynamic pathway regulation using stress-response promoters
Dahl, R. H., Zhang, F., Alonso-Gutierrez, J., Baidoo, E., Batth, T. S., Redding-Johanson, A. M., Petzold, C. J., Mukhopadhyay, A., Lee, T. S., Adams, P. D., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2689 · Cited by 473
Cited by
Microbial interactions within beneficial consortia promote soil health
Wu, D., Wang, W., Yao, Y., Li, H., Wang, Q., & Niu, B. (2023) · Science of The Total Environment · doi:10.1016/j.scitotenv.2023.165801 · Cited by 181
An Automated Model Test System for Systematic Development and Improvement of Gene Expression Models
Reis, A. C., & Salis, H. M. (2020) · ACS Synthetic Biology · doi:10.1021/acssynbio.0c00394 · Cited by 166
Construction of stable microbial consortia for effective biochemical synthesis
Jiang, Y., Wu, R., Zhang, W., Xin, F., & Jiang, M. (2023) · Trends in Biotechnology · doi:10.1016/j.tibtech.2023.05.008 · Cited by 86
Choudhury, S., Narayanan, B., Moret, M., Hatzimanikatis, V., & Miskovic, L. (2024) · Nature Catalysis · doi:10.1038/s41929-024-01220-6 · Cited by 67
Umar, A., Zafar, A., Wali, H., Siddique, M. P., Qazi, M. A., Naeem, A. H., Malik, Z. A., & Ahmed, S. (2021) · AMB Express · doi:10.1186/s13568-021-01327-0 · Cited by 61
Metadata
- Authors
- Gupta, A., Reizman, I. M. B., Reisch, C. R., & Prather, K. L. J.
- Venue
- Nature Biotechnology
- Published
- 2017-02-13
- Volume
- 35
- Issue
- 3
- Pages
- 273-279
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- OpenAlex
- W2588456700
- Cited by
- 490
- References
- 40
- FWCI
- 19.70
- 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: Dynamic regulation of metabolic flux in engineered bacteria using a pathway-independent quorum-sensing circuit. https://app.cochat.ai/papers/10.1038/nbt.3796
- The paper
- Gupta, A., Reizman, I. M. B., Reisch, C. R., & Prather, K. L. J. (2017). Dynamic regulation of metabolic flux in engineered bacteria using a pathway-independent quorum-sensing circuit. Nature Biotechnology. https://doi.org/10.1038/nbt.3796
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.
