The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Tri-functionalization of mesoporous silica nanoparticles for comprehensive cancer theranostics—the trio of imaging, targeting and therapy
Abstract
In this work we report the development of the tri-functionalized mesoporous silica nanoparticles (MSNs) for use as theranostic compounds that orchestrate the trio of imaging, target and therapy in a single particle. The MSNs are functionalized in sequence with (1) contrast agents that enable traceable imaging of particle targeting, (2) drug payloads for therapeutic intervention and, (3) biomolecular ligands for highly-targeted particle delivery. Traceable imaging of nanoparticles was accomplished by directly incorporating a near-infrared (NIR) fluorescent contrast agent, ATTO647N, into the silica framework of MSNs, to exploit the relative transparency of most tissues at NIR wavelengths and maximize MSN surface area available for the subsequent conjugating drugs and targeting ligands. An oxygen-sensing, palladium-porphyrin based photosensitizer (Pd-porphyrin; PdTPP) was incorporated into the MSN's nanochannels, to enable photodynamic therapy (PDT). cRGDyK peptides, tiling the outermost surfaces of MSNs, were used for targeting the overexpressed αvβ3 integrins of cancer cells, and to ensure the internalization of the photosensitizer PdTPP. In vitro cell evaluation of the theranostic platform demonstrated not only excellent targeting specificity and minimal collateral damage, but highly potent therapeutic effect as well.
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Cites
Renal clearance of quantum dots
Soo Choi, H., Liu, W., Misra, P., Tanaka, E., Zimmer, J. P., Itty Ipe, B., Bawendi, M. G., & Frangioni, J. V. (2007) · Nature Biotechnology · doi:10.1038/nbt1340 · Cited by 4,476
In vivo tumor targeting and spectroscopic detection with surface-enhanced Raman nanoparticle tags
Qian, X., Peng, X.-H., Ansari, D. O., Yin-Goen, Q., Chen, G. Z., Shin, D. M., Yang, L., Young, A. N., Wang, M. D., & Nie, S. (2008) · Nature Biotechnology · doi:10.1038/nbt1377 · Cited by 2,201
Multifunctional polymeric micelles as cancer-targeted, MRI-ultrasensitive drug delivery systems
Nasongkla, N., Bey, E., Ren, J., Ai, H., Khemtong, C., Guthi, J. S., Chin, S.-F., Sherry, A. D., Boothman, D. A., & Gao, J. (2006) · Nano Letters · doi:10.1021/nl061412u · Cited by 1,238
Xia, T., Kovochich, M., Liong, M., Meng, H., Kabehie, S., George, S., Zink, J. I., & Nel, A. E. (2009) · ACS Nano · doi:10.1021/nn900918w · Cited by 933
Cited by
Zoppe, J. O., Ataman, N. C., Mocny, P., Wang, J., Moraes, J., & Klok, H.-A. (2017) · Chemical Reviews · doi:10.1021/acs.chemrev.6b00314 · Cited by 1,046
Impact of Silica Nanoparticle Design on Cellular Toxicity and Hemolytic Activity
Yu, T., Malugin, A., & Ghandehari, H. (2011) · ACS Nano · doi:10.1021/nn2013904 · Cited by 666
Functionalization of Inorganic Nanoparticles for Bioimaging Applications
Erathodiyil, N., & Ying, J. Y. (2011) · Accounts of Chemical Research · doi:10.1021/ar2000327 · Cited by 622
Mesoporous Silica Nanoparticles for Drug Delivery: Current Insights
Vallet-Regí, M., Colilla, M., Izquierdo-Barba, I., & Manzano, M. (2017) · Molecules · doi:10.3390/molecules23010047 · Cited by 538
Algar, W. R., Prasuhn, D. E., Stewart, M. H., Jennings, T. L., Blanco-Canosa, J. B., Dawson, P. E., & Medintz, I. L. (2011) · Bioconjugate Chemistry · doi:10.1021/bc200065z · Cited by 502
Metadata
- Authors
- Cheng, S.-H., Lee, C.-H., Chen, M.-C., Souris, J. S., Tseng, F.-G., Yang, C.-S., Mou, C.-Y., Chen, C.-T., & Lo, L.-W.
- Venue
- Journal of Materials Chemistry
- Publisher
- Royal Society of Chemistry (RSC)
- Published
- 2010
- Volume
- 20
- Issue
- 29
- Pages
- 6149
- ISSN
- 0959-9428 (ISSN-L)
- 1364-5501
- OpenAlex
- W2081383070
- Cited by
- 222
- References
- 4
- FWCI
- 12.56
- Type
- journal article
- Language
- en
- Open access
- closed
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- Cheng, S.-H., Lee, C.-H., Chen, M.-C., Souris, J. S., Tseng, F.-G., Yang, C.-S., Mou, C.-Y., Chen, C.-T., & Lo, L.-W. (2010). Tri-functionalization of mesoporous silica nanoparticles for comprehensive cancer theranostics—the trio of imaging, targeting and therapy. Journal of Materials Chemistry. https://doi.org/10.1039/c0jm00645a
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