The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
In vivo Molecular Imaging of Cancer with a Quenching Near-Infrared Fluorescent Probe Using Conjugates of Monoclonal Antibodies and Indocyanine Green
Open accessAbstract
Near-infrared (NIR) fluorophores have several advantages over visible fluorophores, including improved tissue penetration and lower autofluorescence; however, only indocyanine green (ICG) is clinically approved. Its use in molecular imaging probes is limited because it loses its fluorescence after protein binding. This property can be harnessed to create an activatable NIR probe. After cell binding and internalization, ICG dissociates from the targeting antibody, thus activating fluorescence. ICG was conjugated to the antibodies daclizumab (Dac), trastuzumab (Tra), or panitumumab (Pan). The conjugates had almost no fluorescence in PBS but became fluorescent after SDS and 2-mercaptoethanol, with a quenching capacity of 10-fold for 1:1 conjugates and 40- to 50-fold for 1:5 conjugates. In vitro microscopy showed activation within the endolysosomes in target cells. In vivo imaging in mice showed that CD25-expressing tumors were specifically visualized with Dac-ICG. Furthermore, tumors overexpressing HER1 and HER2 were successfully characterized in vivo by using Pan-ICG(1:5) and Tra-ICG(1:5), respectively. Thus, we have developed an activatable NIR optical probe that “switches on” only in target cells. Because both the antibody and the fluorophore are Food and Drug Administration approved, the likelihood of clinical translation is improved. [Cancer Res 2009;69(4):1268–72]
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
A clearer vision for in vivo imaging
Weissleder, R. (2001) · Nature Biotechnology · doi:10.1038/86684 · Cited by 3,839
Cited by
Fluorescent chemical probes for accurate tumor diagnosis and targeting therapy
Gao, M., Yu, F., Lv, C., Choo, J., & Chen, L. (2017) · Chemical Society Reviews · doi:10.1039/c6cs00908e · Cited by 827
Beyond the margins: real-time detection of cancer using targeted fluorophores
Zhang, R. R., Schroeder, A. B., Grudzinski, J. J., Rosenthal, E. L., Warram, J. M., Pinchuk, A. N., Eliceiri, K. W., Kuo, J. S., & Weichert, J. P. (2017) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2016.212 · Cited by 485
Kobayashi, H., & Choyke, P. L. (2011) · Accounts of Chemical Research · doi:10.1021/ar1000633 · Cited by 416
Self-citationNagaya, T., Nakamura, Y. A., Choyke, P. L., & Kobayashi, H. (2017) · Frontiers in Oncology · doi:10.3389/fonc.2017.00314 · Cited by 398
Self-citationSmall-molecule fluorophores and fluorescent probes for bioimaging
Terai, T., & Nagano, T. (2013) · Pflügers Archiv - European Journal of Physiology · doi:10.1007/s00424-013-1234-z · Cited by 301
Metadata
- Authors
- Ogawa, M., Kosaka, N., Choyke, P. L., & Kobayashi, H.
- Venue
- Cancer Research
- Published
- 2009-02-12
- Volume
- 69
- Issue
- 4
- Pages
- 1268-1272
- ISSN
- 0008-5472 (ISSN-L)
- 1538-7445
- OpenAlex
- W2134741032
- Cited by
- 326
- References
- 1
- FWCI
- 19.96
- 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: In vivo Molecular Imaging of Cancer with a Quenching Near-Infrared Fluorescent Probe Using Conjugates of Monoclonal Antibodies and Indocyanine Green. https://app.cochat.ai/papers/10.1158/0008-5472.can-08-3116
- The paper
- Ogawa, M., Kosaka, N., Choyke, P. L., & Kobayashi, H. (2009). In vivo Molecular Imaging of Cancer with a Quenching Near-Infrared Fluorescent Probe Using Conjugates of Monoclonal Antibodies and Indocyanine Green. Cancer Research. https://doi.org/10.1158/0008-5472.can-08-3116
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.