The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Enzyme-Responsive Modular Peptides Enhance Tumor Penetration of Quantum Dots via Charge Reversal Strategy
Abstract
Quantum dots (QDs) are colloidal semiconductor nanoparticles acting as fluorescent probes for detection, disease diagnosis, and photothermal and photodynamic therapy. However, their performance in cancer treatment is limited by inadequate tumor accumulation and penetration due to the larger size of nanoparticles compared to small molecules. To address this challenge, charge reversal nanoparticles offer an effective strategy to prolong blood circulation time and achieve enhanced endocytosis and tumor penetration. In this study, we leveraged the overexpressed γ-glutamyl transpeptidase (GGT) in many human tumors and developed a library of modular peptides to serve as water-soluble surface ligands of QDs. We successfully transferred the QDs from the organic phase to the aqueous phase within 5 min. And through systematic tuning of the peptide sequence, we optimized the fluorescent stability of QDs and their charge reversal behavior in response to GGT. The resulting optimal peptide stabilized QDs in aqueous solution with a high fluorescent retention rate of 93% after three months and realized the surface charge reversal of QDs triggered by GGT in vitro. The binding between the peptide and QD surface was investigated by using saturation transfer differential nuclear magnetic resonance (STD NMR). Thanks to its charge reversal ability, the GGT-responsive QDs exhibited enhanced cellular uptake in GGT-expressing cancer cells and deeper penetration in the 3D multicellular spheroids. This…
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“GSH-responsive paclitaxel-IR780 platforms use photothermal priming to raise permeability and then rely on redox conditions for intracellular release, yielding chemo-PTT synergy [102].”
From Overcoming tumor microenvironment barriers: transformable and bioinspired nanomedicine strategies for deep tumor penetration (2026) · cites this paper as [102]
In the citing paper
“Paclitaxel-IR780 platform with GSH-responsive release | Photothermal priming and GSH | Paclitaxel conjugate or formulation with IR780; redox-cleavable linker | Photothermal heating increases permeability; intracellular GSH triggers paclitaxel release; chemo-photothermal synergy”
From Overcoming tumor microenvironment barriers: transformable and bioinspired nanomedicine strategies for deep tumor penetration (2026) · cites this paper as [102]
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Cites
Inorganic nanomaterials with rapid clearance for biomedical applications
Wang, X., Zhong, X., Li, J., Liu, Z., & Cheng, L. (2021) · Chemical Society Reviews · doi:10.1039/d0cs00461h · Cited by 509
Li, Y., Zhang, P., Tang, W., McHugh, K. J., Kershaw, S. V., Jiao, M., Huang, X., Kalytchuk, S., Perkinson, C. F., Yue, S., et al. (2022) · ACS Nano · doi:10.1021/acsnano.2c01153 · Cited by 98
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Research works printed but not linked: 50
- 10.1016/j.trac.2019.115750 · DOI
- 10.1016/j.jphotochemrev.2017.01.002 · DOI
- 10.1021/acsnano.1c01399 · DOI
- 10.1002/adma.201706356 · DOI
- 10.1039/C8CS00618K · DOI
- 10.1021/nn900663r · DOI
- 10.1007/s41061-020-0296-6 · DOI
- 10.1039/D1TB00729G · DOI
- 10.1021/acsabm.0c01478 · DOI
- 10.1021/acsnano.7b03088 · DOI
- 10.1021/acs.nanolett.8b03249 · DOI
- 10.1021/acs.chemrev.8b00733 · DOI
- 10.1016/j.cis.2014.11.004 · DOI
- 10.1021/acs.chemrev.6b00030 · DOI
- 10.1021/nn400702r · DOI
- 10.1039/C7NR03362A · DOI
- 10.1016/j.nantod.2014.10.003 · DOI
- 10.1002/smll.200901158 · DOI
- 10.1002/smll.201100001 · DOI
- 10.1002/advs.202002589 · DOI
- 10.1016/j.jconrel.2019.12.024 · DOI
- 10.1002/wnan.1519 · DOI
- 10.1016/j.mattod.2017.02.006 · DOI
- 10.1021/acs.chemrev.5b00049 · DOI
- 10.1016/j.giant.2021.100082 · DOI
- 10.1126/science.1104274 · DOI
- 10.1021/jp046828f · DOI
- 10.1002/smll.200600516 · DOI
- 10.1016/j.colsurfb.2016.05.041 · DOI
- 10.1002/adhm.201200210 · DOI
- 10.1111/jnc.15200 · DOI
- 10.1039/b808207c · DOI
- 10.1021/acs.nanolett.2c03052 · DOI
- 10.1021/acs.biomac.7b00887 · DOI
- 10.1016/j.bios.2019.111497 · DOI
- 10.1002/(SICI)1097-0142(20000215)88:4<761::AID-CNCR5>3.0.CO;2-5 · DOI
- 10.1038/s41565-019-0485-z · DOI
- 10.1016/0022-2836(82)90515-0 · DOI
- 10.1021/acs.chemmater.7b01258 · DOI
- 10.1021/jp306453y · DOI
- 10.1021/cm034081k · DOI · Paper page
- 10.1002/anie.201405735 · DOI
- 10.1021/acsnano.0c01021 · DOI
- 10.1021/la301186n · DOI
- 10.1021/acs.chemrev.6b00041 · DOI
- Zhang, R., Miyoshi, T., Sun, P., Eds. NMR Methods for Characterization of Synthetic and Natural Polymers; Royal Society of Chemistry: London, 2019; pp 25–35. · DOI
- 10.1021/acs.jpcb.6b03260 · DOI
- 10.1021/acsami.5b11258 · DOI
- 10.1021/acs.bioconjchem.1c00546 · DOI
- 10.1021/jacs.2c12032 · DOI
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Sheng, J., Yuan, W., Zhang, M., Chen, Z., Qi, Y., Zhao, Y., & Zhang, S. (2026) · Journal of Nanobiotechnology · doi:10.1186/s12951-026-04028-7 · Cited by 35
Metadata
- Authors
- Dai, Q., Du, Z., Jing, L., Zhang, R., & Tang, W.
- Venue
- ACS Applied Materials & Interfaces
- Publisher
- American Chemical Society (ACS)
- Published
- 2024-01-27
- Volume
- 16
- Issue
- 5
- Pages
- 6208-6220
- ISSN
- 1944-8244
- 1944-8252
- Cited by
- 17
- References
- 2
- Language
- en
- Licence
- Funders
- Youth Innovation Promotion Association of the Chinese Academy of Sciences (Y2022017)
- National Natural Science Foundation of China (22177115, 22201081)
- Natural Science Foundation of Guangdong Province (2022A1515011443)
- Key Laboratory of Polymer Materials Design and Synthesis of Biomedical Functions Oriented to the Petroleum and Chemical Industry, Soochow University (SDHY2201)
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