The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
A Tumor‐Microenvironment‐Responsive Lanthanide–Cyanine FRET Sensor for NIR‐II Luminescence‐Lifetime In Situ Imaging of Hepatocellular Carcinoma
Abstract
Deep tissue imaging in the second near‐infrared (NIR‐II) window holds great promise for widespread fundamental research. However, inhomogeneous signal attenuation due to tissue absorption and scattering hampers its application for accurate in vivo biosensing. Here, lifetime‐based in situ hepatocellular carcinoma (HCC) detection in NIR‐II region is presented using a tumor‐microenvironment (peroxynitrite, ONOO−)‐responsive lanthanide–cyanine Förster resonance energy transfer (FRET) nanosensor. A specially designed ONOO−‐responsive NIR‐II dye, MY‐1057, is synthesized as the FRET acceptor. Robust lifetime sensing is demonstrated to be independent of tissue penetration depth. Tumor lesions are accurately distinguished from normal tissue due to the recovery lifetime. Magnetic resonance imaging and liver dissection results illustrate the reliability of lifetime‐based detection in single and multiple HCC models. Moreover, the ONOO− amount can be calculated according to the standard curve.
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Peroxynitrite: biochemistry, pathophysiology and development of therapeutics
Szabó, C., Ischiropoulos, H., & Radi, R. (2007) · Nature Reviews Drug Discovery · doi:10.1038/nrd2222 · Cited by 2,134
A small-molecule dye for NIR-II imaging
Antaris, A. L., Chen, H., Cheng, K., Sun, Y., Hong, G., Qu, C., Diao, S., Deng, Z., Hu, X., Zhang, B., et al. (2016) · Nature Materials · doi:10.1038/nmat4476 · Cited by 1,778
Next-generation in vivo optical imaging with short-wave infrared quantum dots
Bruns, O. T., Bischof, T. S., Harris, D. K., Franke, D., Shi, Y., Riedemann, L., Bartelt, A., Jaworski, F. B., Carr, J. A., Rowlands, C. J., et al. (2017) · Nature Biomedical Engineering · doi:10.1038/s41551-017-0056 · Cited by 686
J -Aggregates of Cyanine Dye for NIR-II in Vivo Dynamic Vascular Imaging beyond 1500 nm
Sun, C., Li, B., Zhao, M., Wang, S., Lei, Z., Lu, L., Zhang, H., Feng, L., Dou, C., Yin, D., et al. (2019) · Journal of the American Chemical Society · doi:10.1021/jacs.9b10043 · Cited by 582
Self-citationA bright organic NIR-II nanofluorophore for three-dimensional imaging into biological tissues
Wan, H., Yue, J., Zhu, S., Uno, T., Zhang, X., Yang, Q., Yu, K., Hong, G., Wang, J., Li, L., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-03505-4 · Cited by 450
Huang, J., Xie, C., Zhang, X., Jiang, Y., Li, J., Fan, Q., & Pu, K. (2019) · Angewandte Chemie International Edition · doi:10.1002/anie.201909560 · Cited by 258
Highly Stable and Bright NIR-II AIE Dots for Intraoperative Identification of Ureter
Du, J., Liu, S., Zhang, P., Liu, H., Li, Y., He, W., Li, C., Chau, J. H. C., Kwok, R. T. K., Lam, J. W. Y., et al. (2020) · ACS Applied Materials & Interfaces · doi:10.1021/acsami.9b22957 · Cited by 70
Sparks, H., Kondo, H., Hooper, S., Munro, I., Kennedy, G., Dunsby, C., French, P., & Sahai, E. (2018) · Nature Communications · doi:10.1038/s41467-018-04820-6 · Cited by 54
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Rare-Earth Doping in Nanostructured Inorganic Materials
Zheng, B., Fan, J., Chen, B., Qin, X., Wang, J., Wang, F., Deng, R., & Liu, X. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00644 · Cited by 1,204
Near-infrared luminescence high-contrast in vivo biomedical imaging
Chen, Y., Wang, S., & Zhang, F. (2023) · Nature Reviews Bioengineering · doi:10.1038/s44222-022-00002-8 · Cited by 566
Self-citationRen, T., Wang, Z., Xiang, Z., Lu, P., Lai, H., Yuan, L., Zhang, X., & Tan, W. (2021) · Angewandte Chemie International Edition · doi:10.1002/anie.202009986 · Cited by 273
Xanthene-Based NIR-II Dyes for In Vivo Dynamic Imaging of Blood Circulation
Liu, D., He, Z., Zhao, Y., Yang, Y., Shi, W., Li, X., & Ma, H. (2021) · Journal of the American Chemical Society · doi:10.1021/jacs.1c07711 · Cited by 217
Wan, Y., Chen, W., Liu, Y., Lee, K., Gao, Y., Zhang, D., Li, Y., Huang, Z., Luo, J., Lee, C., et al. (2024) · Advanced Materials · doi:10.1002/adma.202405966 · Cited by 90
Metadata
- Authors
- Zhao, M., Li, B., Wu, Y., He, H., Zhu, X., Zhang, H., Dou, C., Feng, L., Fan, Y., & Zhang, F.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2020-06-03
- Volume
- 32
- Issue
- 28
- Pages
- e2001172-e2001172
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W3030954911
- Cited by
- 236
- References
- 8
- FWCI
- 14.94
- Type
- journal article
- Language
- en
- Open access
- closed
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- Zhao, M., Li, B., Wu, Y., He, H., Zhu, X., Zhang, H., Dou, C., Feng, L., Fan, Y., & Zhang, F. (2020). A Tumor‐Microenvironment‐Responsive Lanthanide–Cyanine FRET Sensor for NIR‐II Luminescence‐Lifetime In Situ Imaging of Hepatocellular Carcinoma. Advanced Materials. https://doi.org/10.1002/adma.202001172
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