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Cited by 17

The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.

An accurate method for estimation of the intracellular aqueous volume of Escherichia coli cells

Wang, Lei, Zhou, Yongjin J., Ji, Debin, Zhao, Zongbao K.·2013·Journal of Microbiological Methods

Abstract

The intracellular aqueous volumes (V(in)) of microorganisms are fundamental data that can be used for estimating absolute cellular enzyme and metabolite concentrations. Because traditional methods are time-consuming and costly, the V(in) data have been largely estimated ambiguously. Here we developed an NAD(+) concentration-dependent method and demonstrated its usefulness for accurate estimation of the V(in) value of Escherichia coli cells. The V(in) value of E. coli BL21(DE3) cells was determined to be 1.9 μL·mg(-1), which is 17% lower than that of the commonly assumed data. Similarly, the V(in) value of Agrobacterium tumefaciens AGL1 cells was determined to be 1.8 μL·mg(-1). Because NAD(+) is routinely quantified during metabolite analysis, it may be integrated into metabolomic data collection with little additional time and labor expenditure. This method should also be applicable to estimate the V(in) data of other prokaryotic microorganisms.

Overview

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Crossref · 10.1016/j.mimet.2013.02.006

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Metadata

Authors
Wang, L., Zhou, Y. J., Ji, D., & Zhao, Z. K.
Venue
Journal of Microbiological Methods
Publisher
Elsevier BV
Published
2013-05
Volume
93
Issue
2
Pages
73-76
ISSN
0167-7012
Cited by
17
References
22
Language
en
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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CoChat. (2026). Citation check: An accurate method for estimation of the intracellular aqueous volume of Escherichia coli cells. https://app.cochat.ai/papers/10.1016/j.mimet.2013.02.006
The paper
Wang, L., Zhou, Y. J., Ji, D., & Zhao, Z. K. (2013). An accurate method for estimation of the intracellular aqueous volume of Escherichia coli cells. Journal of Microbiological Methods. https://doi.org/10.1016/j.mimet.2013.02.006

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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.