The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Single-cell bioluminescence imaging of deep tissue in freely moving animals
Abstract
Improved spy tactics for single cells: Bioluminescence imaging is a tremendous asset to medical research, providing a way to monitor living cells noninvasively within their natural environments. Advances in imaging methods allow researchers to measure tumor growth, visualize developmental processes, and track cell-cell interactions. Yet technical limitations exist, and it is difficult to image deep tissues or detect low cell numbers in vivo. Iwano et al. designed a bioluminescence imaging system that produces brighter emission by up to a factor of 1000 compared with conventional technology (see the Perspective by Nasu and Campbell). Individual tumor cells were successfully visualized in the lungs of mice. Small numbers of striatal neurons were detected in the brains of naturally behaving marmosets. The ability of the substrate to cross the blood-brain barrier should provide important opportunities for neuroscience research. Science , this issue p. 935 ; see also p. 868
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
Self-renewal and expansion of single transplanted muscle stem cells
Sacco, A., Doyonnas, R., Kraft, P., Vitorovic, S., & Blau, H. M. (2008) · Nature · doi:10.1038/nature07384 · Cited by 901
Guenthner, C. J., Miyamichi, K., Yang, H. H., Heller, H. C., & Luo, L. (2013) · Neuron · doi:10.1016/j.neuron.2013.03.025 · Cited by 705
Cited by
Anti-quenching NIR-II molecular fluorophores for in vivo high-contrast imaging and pH sensing
Wang, S., Fan, Y., Li, D., Sun, C., Lei, Z., Lu, L., Wang, T., & Zhang, F. (2019) · Nature Communications · doi:10.1038/s41467-019-09043-x · Cited by 510
Applications of bioluminescence in biotechnology and beyond
Syed, A. J., & Anderson, J. C. (2021) · Chemical Society Reviews · doi:10.1039/d0cs01492c · Cited by 341
NIR-II bioluminescence for in vivo high contrast imaging and in situ ATP-mediated metastases tracing
Lu, L., Li, B., Ding, S., Fan, Y., Wang, S., Sun, C., Zhao, M., Zhao, C.-X., & Zhang, F. (2020) · Nature Communications · doi:10.1038/s41467-020-18051-1 · Cited by 274
A genome-wide CRISPR-based screen identifies KAT7 as a driver of cellular senescence
Wang, W., Zheng, Y., Sun, S., Li, W., Song, M., Ji, Q., Wu, Z., Liu, Z., Fan, Y., Liu, F., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abd2655 · Cited by 178
A Classical Epithelial State Drives Acute Resistance to KRAS Inhibition in Pancreatic Cancer
Singhal, A., Styers, H. C., Rub, J., Li, Z., Torborg, S. R., Kim, J. Y., Grbovic-Huezo, O., Feng, H., Tarcan, Z. C., Sahin Ozkan, H., et al. (2024) · Cancer Discovery · doi:10.1158/2159-8290.cd-24-0740 · Cited by 84
Metadata
- Authors
- Iwano, S., Sugiyama, M., Hama, H., Watakabe, A., Hasegawa, N., Kuchimaru, T., Tanaka, K. Z., Takahashi, M., Ishida, Y., Hata, J., Shimozono, S., Namiki, K., Fukano, T., Kiyama, M., Okano, H., Kizaka-Kondoh, S., McHugh, T. J., Yamamori, T., Hioki, H., Maki, S., & Miyawaki, A.
- Venue
- Science
- Published
- 2018-02-23
- Volume
- 359
- Issue
- 6378
- Pages
- 935-939
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2788051494
- Cited by
- 475
- References
- 2
- FWCI
- 13.81
- Type
- journal article
- Language
- en
- Open access
- closed
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: Single-cell bioluminescence imaging of deep tissue in freely moving animals. https://app.cochat.ai/papers/10.1126/science.aaq1067
- The paper
- Iwano, S., Sugiyama, M., Hama, H., Watakabe, A., Hasegawa, N., Kuchimaru, T., Tanaka, K. Z., Takahashi, M., Ishida, Y., Hata, J., Shimozono, S., Namiki, K., Fukano, T., Kiyama, M., Okano, H., Kizaka-Kondoh, S., McHugh, T. J., Yamamori, T., Hioki, H., . . . Miyawaki, A. (2018). Single-cell bioluminescence imaging of deep tissue in freely moving animals. Science. https://doi.org/10.1126/science.aaq1067
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.