The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Visualization of ATP levels inside single living cells with fluorescence resonance energy transfer-based genetically encoded indicators
Open accessAbstract
Adenosine 5′-triphosphate (ATP) is the major energy currency of cells and is involved in many cellular processes. However, there is no method for real-time monitoring of ATP levels inside individual living cells. To visualize ATP levels, we generated a series of fluorescence resonance energy transfer (FRET)-based indicators for ATP that were composed of the ε subunit of the bacterial F o F 1 -ATP synthase sandwiched by the cyan- and yellow-fluorescent proteins. The indicators, named ATeams, had apparent dissociation constants for ATP ranging from 7.4 μM to 3.3 mM. By targeting ATeams to different subcellular compartments, we unexpectedly found that ATP levels in the mitochondrial matrix of HeLa cells are significantly lower than those of cytoplasm and nucleus. We also succeeded in measuring changes in the ATP level inside single HeLa cells after treatment with inhibitors of glycolysis and/or oxidative phosphorylation, revealing that glycolysis is the major ATP-generating pathway of the cells grown in glucose-rich medium. This was also confirmed by an experiment using oligomycin A, an inhibitor of F o F 1 -ATP synthase. In addition, it was demonstrated that HeLa cells change ATP-generating pathway in response to changes of nutrition in the environment.
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
ATP mediates rapid microglial response to local brain injury in vivo
Davalos, D., Grutzendler, J., Yang, G., Kim, J. V., Zuo, Y., Jung, S., Littman, D. R., Dustin, M. L., & Gan, W.-B. (2005) · Nature Neuroscience · doi:10.1038/nn1472 · Cited by 3,913
Evidence that glutamine, not sugar, is the major energy source for cultured HeLa cells.
Reitzer, L. J., Wice, B. M., & Kennell, D. (1979) · Journal of Biological Chemistry · doi:10.1016/s0021-9258(17)30124-2 · Cited by 1,240
Cited by
Consensus guidelines for the detection of immunogenic cell death
Kepp, O., Senovilla, L., Vitale, I., Vacchelli, E., Adjemian, S., Agostinis, P., Apetoh, L., Aranda, F., Barnaba, V., Bloy, N., et al. (2014) · OncoImmunology · doi:10.4161/21624011.2014.955691 · Cited by 832
Activity-driven local ATP synthesis is required for synaptic function
Rangaraju, V., Calloway, N., & Ryan, T. A. (2014) · Cell · doi:10.1016/j.cell.2013.12.042 · Cited by 836
Roesch, A., Vultur, A., Bogeski, I., Wang, H., Zimmermann, K. M., Speicher, D., Körbel, C., Laschke, M. W., Gimotty, P. A., Philipp, S. E., et al. (2013) · Cancer Cell · doi:10.1016/j.ccr.2013.05.003 · Cited by 670
Gowans, G. J., Hawley, S. A., Ross, F. A., & Hardie, D. G. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.08.019 · Cited by 531
Phase separation and neurodegenerative diseases: a disturbance in the force
Zbinden, A., Pérez-Berlanga, M., De Rossi, P., & Polymenidou, M. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.09.014 · Cited by 500
Metadata
- Authors
- Imamura, H., Huynh Nhat, K. P., Togawa, H., Saito, K., Iino, R., Kato-Yamada, Y., Nagai, T., & Noji, H.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-09-15
- Volume
- 106
- Issue
- 37
- Pages
- 15651-15656
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2112870272
- Cited by
- 1,101
- References
- 2
- FWCI
- 15.75
- 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: Visualization of ATP levels inside single living cells with fluorescence resonance energy transfer-based genetically encoded indicators. https://app.cochat.ai/papers/10.1073/pnas.0904764106
- The paper
- Imamura, H., Huynh Nhat, K. P., Togawa, H., Saito, K., Iino, R., Kato-Yamada, Y., Nagai, T., & Noji, H. (2009). Visualization of ATP levels inside single living cells with fluorescence resonance energy transfer-based genetically encoded indicators. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0904764106
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.