The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.
Organelle-Targeted Photosensitizers for Precision Photodynamic Therapy
Abstract
Subcellular organelles are the cornerstones of cells, and destroying them will cause cell dysfunction and even death. Therefore, realizing precise organelle targeting of photosensitizers (PSs) can help reduce PS dosage, minimize side effects, avoid drug resistance, and enhance therapeutic efficacy in photodynamic therapy (PDT). Organelle-targeted PSs provide a new paradigm for the construction of the next generation of PSs and may provide implementable strategies for future precision medicine. In this Review, the recent targeting strategies of different organelles and the corresponding design principles of molecular and nanostructured PSs are summarized and discussed. The current challenges and opportunities in organelle-targeted PDT are also presented.
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Cites
Cancer nanotechnology: opportunities and challenges
Ferrari, M. (2005) · Nature Reviews Cancer · doi:10.1038/nrc1566 · Cited by 4,558
Regulation mechanisms and signaling pathways of autophagy
He, C., & Klionsky, D. J. (2009) · Annual Review of Genetics · doi:10.1146/annurev-genet-102808-114910 · Cited by 3,609
Doherty, G. J., & McMahon, H. T. (2009) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.78.081307.110540 · Cited by 3,075
Wallace, D. C. (2012) · Nature Reviews Cancer · doi:10.1038/nrc3365 · Cited by 2,404
BODIPY dyes in photodynamic therapy
Kamkaew, A., Lim, S. H., Lee, H. B., Kiew, L. V., Chung, L. Y., & Burgess, K. (2013) · Chem. Soc. Rev. · doi:10.1039/c2cs35216h · Cited by 2,104
Zielonka, J., Joseph, J., Sikora, A., Hardy, M., Ouari, O., Vasquez-Vivar, J., Cheng, G., Lopez, M., & Kalyanaraman, B. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.7b00042 · Cited by 1,683
Protein misfolding in the endoplasmic reticulum as a conduit to human disease
Wang, M., & Kaufman, R. J. (2016) · Nature · doi:10.1038/nature17041 · Cited by 1,630
The endoplasmic reticulum: structure, function and response to cellular signaling
Schwarz, D. S., & Blower, M. D. (2016) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-015-2052-6 · Cited by 1,613
Lysosomal acidification mechanisms
Mindell, J. A. (2012) · Annual Review of Physiology · doi:10.1146/annurev-physiol-012110-142317 · Cited by 1,258
Protein translocation across the eukaryotic endoplasmic reticulum and bacterial plasma membranes.
Rapoport, T. A. (2007) · Nature · doi:10.1038/nature06384 · Cited by 977
Cited by
Recent Strategies to Develop Innovative Photosensitizers for Enhanced Photodynamic Therapy
Pham, T. C., Nguyen, V.-N., Choi, Y., Lee, S., & Yoon, J. (2021) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00381 · Cited by 1,813
Self-citationThe fast-growing field of photo-driven theranostics based on aggregation-induced emission
Zhang, Z., Kang, M., Tan, H., Song, N., Li, M., Xiao, P., Yan, D., Zhang, L., Wang, D., & Tang, B. Z. (2022) · Chemical Society Reviews · doi:10.1039/d1cs01138c · Cited by 374
Zeng, S., Liu, X., Kafuti, Y. S., Kim, H., Wang, J., Peng, X., Li, H., & Yoon, J. (2023) · Chemical Society Reviews · doi:10.1039/d2cs00799a · Cited by 341
Self-citationMitochondria targeted fluorogenic theranostic agents for cancer therapy
Singh, H., Sareen, D., George, J. M., Bhardwaj, V., Rha, H., Lee, S. J., Sharma, S., Sharma, A., & Kim, J. S. (2022) · Coordination Chemistry Reviews · doi:10.1016/j.ccr.2021.214283 · Cited by 72
Dong, K., Xu, Y., Tang, Y., & Li, Q. (2025) · Advanced Functional Materials · doi:10.1002/adfm.202504384 · Cited by 32
Metadata
- Authors
- Wang, R., Li, X., & Yoon, J.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2021-04-26
- Volume
- 13
- Issue
- 17
- Pages
- 19543-19571
- ISSN
- 1944-8244 (ISSN-L)
- 1944-8252
- OpenAlex
- W3158512705
- Cited by
- 293
- References
- 14
- FWCI
- 27.09
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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