Cited by 18Microbial Metabolic Engineering and BioproductionGene Regulatory Network AnalysisFungal and yeast genetics research

The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.

Identification of a rate-limiting step in a metabolic pathway using the kinetic model and in vitro experiment

Kitamura, Sayaka, Shimizu, Hiroshi, Toya, Yoshihiro·2021·Journal of Bioscience and Bioengineering

Abstract

Identification of the rate-limiting step in a metabolic pathway is an important challenge in metabolic engineering for enhancing pathway flow. Although specific enzyme activities (V max) provide valuable clues for the identification, it is time-consuming and difficult to measure multiple enzymes in the pathway because different assay protocols are required for each enzyme. In the present study, we propose a method to simultaneously determine the V max values of multiple enzymes using a kinetic model with a time course of the intermediate concentrations through an in vitro experiment. To demonstrate this method, nine glycolysis reactions for converting glucose-6-phosphate (G6P) to pyruvate in Escherichia coli were considered. In a reaction mixture containing G6P and cofactors, glycolysis was initiated by adding a crude cell extract obtained from stationary phase cells. The V max values were optimized to minimize the difference between the measured and simulated time-courses using a kinetic model. Metabolic control analysis using the kinetic model with the estimated V max values revealed that fructose bisphosphate aldolase (FBA) was the rate-limiting step in the upper part of glycolysis. The addition of FBA in the reaction mixture successfully increased the glycolytic flux in vitro. Furthermore, in vivo, the specific glucose consumption rate of an FBA overexpression strain was 1.4 times higher than that of the control strain during the stationary phase. These results confirmed that FBA was the rate-limiting step in glycolysis under the stationary phase. This approach provides V max values of multiple enzymes in a pathway for metabolic control analysis with a kinetic model.

Overview

Integrity signals

Registry

Crossref · 10.1016/j.jbiosc.2020.10.008

Cites

27 of 27 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Citations

Cites

Research works printed but not linked: 1

  1. Rodriguez, 2014, Engineering Escherichia coli to overproduce aromatic amino acids and derived compounds, Microb. Cell Fact., 13, 126

Cited by

Sorted by citations

See all 18

Metadata

Authors
Kitamura, S., Shimizu, H., & Toya, Y.
Affiliations
The University of Osaka (JP)
Corresponding author
Toya, Yoshihiro
Venue
Journal of Bioscience and Bioengineering
Publisher
Elsevier BV
Published
2021-03
Volume
131
Issue
3
Pages
271-276
ISSN
  • 1347-4421 (ISSN-L)
  • 1389-1723
OpenAlex
W3097503126
Cited by
18
References
27
Citations by year
2026: 3 · 2025: 6 · 2024: 2 · 2023: 3 · 2022: 1 · 2021: 3
FWCI
0.57
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Bioscience and Bioengineering (publishedVersion)
  • PubMed (publishedVersion)
Funders
Japan Society for the Promotion of Science (18K04850)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Microbial Metabolic Engineering and Bioproduction
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Fungal and yeast genetics research
Keywords
rate-determining step, metabolic pathways, enzyme kinetics, kinetic modeling, metabolic control analysis, glycolysis, fructose-1,6-bisphosphate aldolase, Escherichia coli, glycolytic flux, stationary phase, glucose consumption rate, metabolic engineering
MeSH terms
Escherichia coli, Fructose-Bisphosphate Aldolase, Glucose, Glycolysis, Kinetics, Models, Biological, Metabolic Networks and Pathways

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