The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Diversity in ATP concentrations in a single bacterial cell population revealed by quantitative single-cell imaging
Open accessAbstract
Recent advances in quantitative single-cell analysis revealed large diversity in gene expression levels between individual cells, which could affect the physiology and/or fate of each cell. In contrast, for most metabolites, the concentrations were only measureable as ensemble averages of many cells. In living cells, adenosine triphosphate (ATP) is a critically important metabolite that powers many intracellular reactions. Quantitative measurement of the absolute ATP concentration in individual cells has not been achieved because of the lack of reliable methods. In this study, we developed a new genetically-encoded ratiometric fluorescent ATP indicator “QUEEN”, which is composed of a single circularly-permuted fluorescent protein and a bacterial ATP binding protein. Unlike previous FRET-based indicators, QUEEN was apparently insensitive to bacteria growth rate changes. Importantly, intracellular ATP concentrations of numbers of bacterial cells calculated from QUEEN fluorescence were almost equal to those from firefly luciferase assay. Thus, QUEEN is suitable for quantifying the absolute ATP concentration inside bacteria cells. Finally, we found that, even for a genetically-identical Escherichia coli cell population, absolute concentrations of intracellular ATP were significantly diverse between individual cells from the same culture, by imaging QUEEN signals from single cells.
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Cites
Stochastic Gene Expression in a Single Cell
Elowitz, M. B., Levine, A. J., Siggia, E. D., & Swain, P. S. (2002) · Science · doi:10.1126/science.1070919 · Cited by 5,441
Visualizing secretion and synaptic transmission with pH-sensitive green fluorescent proteins
Miesenböck, G., De Angelis, D. A., & Rothman, J. E. (1998) · Nature · doi:10.1038/28190 · Cited by 2,563
Quantifying E. coli Proteome and Transcriptome with Single-Molecule Sensitivity in Single Cells
Taniguchi, Y., Choi, P. J., Li, G.-W., Chen, H., Babu, M., Hearn, J., Emili, A., & Xie, X. S. (2010) · Science · doi:10.1126/science.1188308 · Cited by 1,982
Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli
Bennett, B. D., Kimball, E. H., Gao, M., Osterhout, R., Van Dien, S. J., & Rabinowitz, J. D. (2009) · Nature Chemical Biology · doi:10.1038/nchembio.186 · Cited by 1,830
A high signal-to-noise Ca2+ probe composed of a single green fluorescent protein
Nakai, J., Ohkura, M., & Imoto, K. (2001) · Nature Biotechnology · doi:10.1038/84397 · Cited by 1,616
Functional roles for noise in genetic circuits
Eldar, A., & Elowitz, M. B. (2010) · Nature · doi:10.1038/nature09326 · Cited by 1,480
Imamura, H., Huynh Nhat, K. P., Togawa, H., Saito, K., Iino, R., Kato-Yamada, Y., Nagai, T., & Noji, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904764106 · Cited by 1,101
Self-citationCircularly permuted green fluorescent proteins engineered to sense Ca 2+
Nagai, T., Sawano, A., Park, E. S., & Miyawaki, A. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.051636098 · Cited by 966
Circular permutation and receptor insertion within green fluorescent proteins
Baird, G. S., Zacharias, D. A., & Tsien, R. Y. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.20.11241 · Cited by 961
Dubnau, D., & Losick, R. (2006) · Molecular Microbiology · doi:10.1111/j.1365-2958.2006.05249.x · Cited by 726
Losick, R., & Desplan, C. (2008) · Science · doi:10.1126/science.1147888 · Cited by 635
Tantama, M., Martínez-François, J. R., Mongeon, R., & Yellen, G. (2013) · Nature Communications · doi:10.1038/ncomms3550 · Cited by 483
A genetically encoded fluorescent reporter of ATP:ADP ratio
Berg, J., Hung, Y. P., & Yellen, G. (2009) · Nature Methods · doi:10.1038/nmeth.1288 · Cited by 475
A Stochastic Single-Molecule Event Triggers Phenotype Switching of a Bacterial Cell
Choi, P. J., Cai, L., Frieda, K., & Xie, X. S. (2008) · Science · doi:10.1126/science.1161427 · Cited by 438
Relationship between Growth Rate and ATP Concentration in Escherichia coli
Schneider, D. A., & Gourse, R. L. (2004) · Journal of Biological Chemistry · doi:10.1074/jbc.m311996200 · Cited by 189
Alatossava, T., Jütte, H., Kuhn, A., & Kellenberger, E. (1985) · Journal of Bacteriology · doi:10.1128/jb.162.1.413-419.1985 · Cited by 185
Ca2+ Regulation of Mitochondrial ATP Synthesis Visualized at the Single Cell Level
Nakano, M., Imamura, H., Nagai, T., & Noji, H. (2011) · ACS Chemical Biology · doi:10.1021/cb100313n · Cited by 158
Self-citationIon transport and osmotic adjustment in Escherichia coli in response to ionic and non‐ionic osmotica
Shabala, L., Bowman, J. P., Brown, J., Ross, T., McMeekin, T. A., & Shabala, S. N. (2008) · Environmental Microbiology · doi:10.1111/j.1462-2920.2008.01748.x · Cited by 136
Martinez, K. A., Kitko, R. D., Mershon, J. P., Adcox, H. E., Malek, K. A., Berkmen, M. B., & Slonczewski, J. L. (2012) · Applied and Environmental Microbiology · doi:10.1128/aem.00354-12 · Cited by 126
Yagi, H., Kajiwara, N., Tanaka, H., Tomitake Tsukihara, A., Kato‐Yamada, Y., Yoshida, M., & Akutsu, H. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701045104 · Cited by 125
Tsuyama, T., Kishikawa, J.-I., Han, Y.-W., Harada, Y., Tsubouchi, A., Noji, H., Kakizuka, A., Yokoyama, K., Uemura, T., & Imamura, H. (2013) · Analytical Chemistry · doi:10.1021/ac4015325 · Cited by 113
Self-citationKim, J., Ahn, J., Barone, P. W., Hong, J., Zhang, J., Heller, D. A., & Strano, M. S. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200906251 · Cited by 102
Aptamers Embedded in Polyacrylamide Nanoparticles: A Tool for in Vivo Metabolite Sensing
Nielsen, L. J., Olsen, L. F., & Özalp, V. C. (2010) · ACS Nano · doi:10.1021/nn100635j · Cited by 95
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Braissant, O., Astasov-Frauenhoffer, M., Waltimo, T., & Bonkat, G. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.547458 · Cited by 201
Sources, propagation and consequences of stochasticity in cellular growth
Thomas, P., Terradot, G., Danos, V., & Weiße, A. Y. (2018) · Nature Communications · doi:10.1038/s41467-018-06912-9 · Cited by 107
Papadopoulos, A., Anlauf, M. T., Reiners, J., Paik, S.-H., Krüger, A., Lückel, B., Bott, M., Drepper, T., Frunzke, J., Gohlke, H., et al. (2026) · ACS Sensors · doi:10.1021/acssensors.5c02481 · Cited by 5
Metadata
- Authors
- Yaginuma, H., Kawai, S., Tabata, K. V., Tomiyama, K., Kakizuka, A., Komatsuzaki, T., Noji, H., & Imamura, H.
- Venue
- Scientific Reports
- Published
- 2014-10-06
- Volume
- 4
- Issue
- 1
- Pages
- 6522-6522
- ISSN
- 2045-2322 (ISSN-L)
- OpenAlex
- W1968101639
- Cited by
- 386
- References
- 23
- FWCI
- 10.62
- Type
- journal article
- Language
- en
- Open access
- gold
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