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Cited by 286

The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.

X‐ray Radiation‐Controlled NO‐Release for On‐Demand Depth‐Independent Hypoxic Radiosensitization

Fan, Wenpei, Bu, Wenbo, Zhang, Zhen, Shen, Bo, Zhang, Hui, He, Qianjun, Ni, Dalong, Cui, Zhaowen, Zhao, Kuaile, Bu, Jiwen, Du, Jiulin, Liu, Jianan, Shi, Jianlin·2015·Angewandte Chemie International Edition

Abstract

Multifunctional stimuli‐responsive nanotheranostic systems are highly desirable for realizing simultaneous biomedical imaging and on‐demand therapy with minimized adverse effects. Herein, we present the construction of an intelligent X‐ray‐controlled NO‐releasing upconversion nanotheranostic system (termed as PEG‐USMSs‐SNO) by engineering UCNPs with S‐nitrosothiol (R‐SNO)‐grafted mesoporous silica. The PEG‐USMSs‐SNO is designed to respond sensitively to X‐ray radiation for breaking down the SN bond of SNO to release NO, which leads to X‐ray dose‐controlled NO release for on‐demand hypoxic radiosensitization besides upconversion luminescent imaging through UCNPs in vitro and in vivo. Thanks to the high live‐body permeability of X‐ray, our developed PEG‐USMSs‐SNO may provide a new technique for achieving depth‐independent controlled NO release and positioned radiotherapy enhancement against deep‐seated solid tumors.

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Metadata

Authors
Fan, W., Bu, W., Zhang, Z., Shen, B., Zhang, H., He, Q., Ni, D., Cui, Z., Zhao, K., Bu, J., Du, J., Liu, J., & Shi, J.
Venue
Angewandte Chemie International Edition
Publisher
Wiley
Published
2015-07-23
Volume
54
Issue
47
Pages
14026-14030
ISSN
  • 1433-7851 (ISSN-L)
  • 1521-3773
OpenAlex
W2132904123
Cited by
286
References
33
FWCI
9.91
Type
journal article
Language
en
Open access
closed

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Fan, W., Bu, W., Zhang, Z., Shen, B., Zhang, H., He, Q., Ni, D., Cui, Z., Zhao, K., Bu, J., Du, J., Liu, J., & Shi, J. (2015). X‐ray Radiation‐Controlled NO‐Release for On‐Demand Depth‐Independent Hypoxic Radiosensitization. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.201504536

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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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