The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
A Self‐Assembled Albumin‐Based Nanoprobe for In Vivo Ratiometric Photoacoustic pH Imaging
Abstract
A photoacoustic nanoprobe is self-assembled from human serum albumin and two types of dye molecules, one is inert to pH and the other is pH sensitive. This probe and the quantitative ratiometric photoacoustic pH imaging method are shown to have high safety, be easy-to-operate, and have depth-independent accuracy for real-time in vivo pH imaging of entire tumors. These features make them promising for future cancer prognosis and therapeutic planning.
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Cites
Quantum dots versus organic dyes as fluorescent labels
Resch-Genger, U., Grabolle, M., Cavaliere-Jaricot, S., Nitschke, R., & Nann, T. (2008) · Nature Methods · doi:10.1038/nmeth.1248 · Cited by 3,833
Dysregulated pH: a perfect storm for cancer progression
Webb, B. A., Chimenti, M., Jacobson, M. P., & Barber, D. L. (2011) · Nature Reviews Cancer · doi:10.1038/nrc3110 · Cited by 2,237
Helmlinger, G., Yuan, F., Dellian, M., & Jain, R. K. (1997) · Nature Medicine · doi:10.1038/nm0297-177 · Cited by 1,628
Fluorescent Indicators for Intracellular pH
Han, J., & Burgess, K. (2010) · Chemical Reviews · doi:10.1021/cr900249z · Cited by 1,620
Acidic extracellular microenvironment and cancer
Kato, Y., Ozawa, S., Miyamoto, C., Maehata, Y., Suzuki, A., Maeda, T., & Baba, Y. (2013) · Cancer Cell International · doi:10.1186/1475-2867-13-89 · Cited by 1,300
Semiconducting polymer nanoparticles as photoacoustic molecular imaging probes in living mice
Pu, K., Shuhendler, A. J., Jokerst, J. V., Mei, J., Gambhir, S. S., Bao, Z., & Rao, J. (2014) · Nature Nanotechnology · doi:10.1038/nnano.2013.302 · Cited by 1,185
Kim, C., Favazza, C., & Wang, L. V. (2010) · Chemical Reviews · doi:10.1021/cr900266s · Cited by 807
Acid-Mediated Tumor Invasion: a Multidisciplinary Study
Gatenby, R. A., Gawlinski, E. T., Gmitro, A. F., Kaylor, B., & Gillies, R. J. (2006) · Cancer Research · doi:10.1158/0008-5472.can-05-4193 · Cited by 771
Optimization of the preparation process for human serum albumin (HSA) nanoparticles
Langer, K., Balthasar, S., Vogel, V., Dinauer, N., von Briesen, H., & Schubert, D. (2003) · International Journal of Pharmaceutics · doi:10.1016/s0378-5173(03)00134-0 · Cited by 757
Sheng, Z., Hu, D., Zheng, M., Zhao, P., Liu, H., Gao, D., Gong, P., Gao, G., Zhang, P., Ma, Y., et al. (2014) · ACS Nano · doi:10.1021/nn5062386 · Cited by 719
Cited by
Ratiometric optical nanoprobes enable accurate molecular detection and imaging
Huang, X., Song, J., Yung, B. C., Huang, X., Xiong, Y., & Chen, X. (2018) · Chemical Society Reviews · doi:10.1039/c7cs00612h · Cited by 820
Optical Sensing and Imaging of pH Values: Spectroscopies, Materials, and Applications
Steinegger, A., Wolfbeis, O. S., & Borisov, S. M. (2020) · Chemical Reviews · doi:10.1021/acs.chemrev.0c00451 · Cited by 622
The acidic tumor microenvironment: a target for smart cancer nano-theranostics
Feng, L., Dong, Z., Tao, D., Zhang, Y., & Liu, Z. (2018) · National Science Review · doi:10.1093/nsr/nwx062 · Cited by 426
Self-citationTumor microenvironment-responsive intelligent nanoplatforms for cancer theranostics
Gong, F., Yang, N., Wang, X., Zhao, Q., Chen, Q., Liu, Z., & Cheng, L. (2020) · Nano Today · doi:10.1016/j.nantod.2020.100851 · Cited by 359
Self-citationSong, G., Hao, J., Liang, C., Liu, T., Gao, M., Cheng, L., Hu, J., & Liu, Z. (2016) · Angewandte Chemie International Edition · doi:10.1002/anie.201510597 · Cited by 299
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Metadata
- Authors
- Chen, Q., Liu, X., Chen, J., Zeng, J., Cheng, Z., & Liu, Z.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2015-09-29
- Volume
- 27
- Issue
- 43
- Pages
- 6820-6827
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2126392408
- Cited by
- 286
- References
- 39
- FWCI
- 13.05
- Type
- journal article
- Language
- en
- Open access
- closed
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