Self-targeting fluorescent carbon dots for diagnosis of brain cancer cells.
Abstract
A new type of carbon dots (CD-Asp) with targeting function toward brain cancer glioma was synthesized via a straightforward pyrolysis route by using D-glucose and L-aspartic acid as starting materials. The as-prepared CD-Asp exhibits not only excellent biocompatibility and tunable full-color emission, but also significant capability of targeting C6 glioma cells without the aid of any extra targeting molecules. In vivo fluorescence images showed high-contrast biodistribution of CD-Asp 15 min after tail vein injection. A much stronger fluorescent signal was detected in the glioma site than that in normal brain, indicating their ability to freely penetrate the blood-brain barrier and precisely targeting glioma tissue. However, its counterparts, the CDs synthesized from D-glucose (CD-G), L-asparic acid (CD-A), or D-glucose and L-glutamic acid (CD-Glu) have no or low selectivity for glioma. Therefore, CD-Asp could act as a fluorescence imaging and targeting agent for noninvasive glioma diagnosis. This work highlights the potential application of CDs for constructing an intelligent nanomedicine with integration of diagnostic, targeting, and therapeutic functions.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Excellent biocompatibility, tunable full-color emission, and the capacity to freely penetrate the BBB might make fluorescing carbon nanodots viable candidates as tagging agents to facilitate the implementation of nanomedical B/CI technologies.
“Excellent biocompatibility, tunable full-color emission, and the capacity to freely penetrate the BBB might make fluorescing carbon nanodots viable candidates as tagging agents to facilitate the implementation of nanomedical B/CI technologies”
From Human Brain/Cloud Interface (2019) · cites this paper as Zheng et al., 2015
Fluorescing carbon nanodots (synthesized using D-glucose and L-aspartic acid) with uniform diameters of 2.28 ± 0.42 nm have been employed to target and image C6 glioma cells in mouse brains.
“Fluorescing carbon nanodots (synthesized using D-glucose and L-aspartic acid) with uniform diameters of 2.28 ± 0.42 nm have been employed to target and image C6 glioma cells in mouse brains.”
From Human Brain/Cloud Interface (2019) · cites this paper as Zheng et al., 2015
Cites
Glowing Graphene Quantum Dots and Carbon Dots: Properties, Syntheses, and Biological Applications
Zheng, X. T., Ananthanarayanan, A., Luo, K. Q., & Chen, P. (2015) · Small · doi:10.1002/smll.201402648 · Cited by 2,190 · see citing works
Storr, T., Merkel, M., Song-Zhao, G. X., Scott, L. E., Green, D. E., Bowen, M. L., Thompson, K. H., Patrick, B. O., Schugar, H. J., & Orvig, C. (2007) · Journal of the American Chemical Society · doi:10.1021/ja068965r · Cited by 156 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Crossing the blood-brain barrier with nanoparticles
Zhou, Y., Peng, Z., Seven, E. S., & Leblanc, R. M. (2018) · Journal of Controlled Release · doi:10.1016/j.jconrel.2017.12.015 · Cited by 837 · see citing works
Bao, X., Yuan, Y., Chen, J., Zhang, B., Li, D., Zhou, D., Jing, P., Xu, G., Wang, Y., Holá, K., et al. (2018) · Light: Science & Applications · doi:10.1038/s41377-018-0090-1 · Cited by 445 · see citing works
Neurotheranostics as Personalized Medicines
Kevadiya, B. D., Ottemann, B. M., Thomas, M. B., Mukadam, I., Nigam, S., McMillan, J., Gorantla, S., Bronich, T. K., Edagwa, B., & Gendelman, H. E. (2019) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2018.10.011 · Cited by 124 · see citing works
Zhang, B., Yan, W., Zhu, Y., Yang, W., Le, W., Chen, B., Zhu, R., & Cheng, L. (2018) · Advanced Materials · doi:10.1002/adma.201705694 · Cited by 113 · see citing works
Martins, N. R. B., Angelica, A., Chakravarthy, K., Svidinenko, Y., Boehm, F. J., Opris, I., Lebedev, M. A., Swan, M., Garan, S. A., Rosenfeld, J. V., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00112 · Cited by 91 · see citing works
- Authors
- Zheng, M., Ruan, S., Liu, S., Sun, T., Qu, D., Zhao, H., Xie, Z., Gao, H., Jing, X., & Sun, Z.
- Affiliations
- Chinese Academy of Sciences (CN)
- Sichuan University (CN)
- Corresponding author
- Xie, Zhigang
- Gao, Huile
- Sun, Zaicheng
- ORCID
- Venue
- ACS Nano
- Publisher
- American Chemical Society (ACS)
- Published
- 2015-10-16
- Volume
- 9
- Issue
- 11
- Pages
- 11455-11461
- ISSN
- 1936-0851 (ISSN-L)
- 1936-086X
- OpenAlex
- W2404671794
- Cited by
- 593
- References
- 2
- Citations by year
- 2026: 34 · 2025: 57 · 2024: 67 · 2023: 67 · 2022: 51 · 2021: 60 · 2020: 58 · 2019: 68 · 2018: 57 · 2017: 43 · 2016: 31
- FWCI
- 17.70
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- ACS Nano (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Chinese Academy of Sciences
- Changchun Institute of Applied Chemistry
- National Natural Science Foundation of China (21201159, 51522307, 61176016, 91227118)
- Jilin Province
- State Key Laboratory of Polymer Physics and Chemistry, Changchun Institute Of Applied Chemistry
- Topics
- Physical Sciences › Materials Science › Materials Chemistry › Carbon and Quantum Dots Applications
- Physical Sciences › Engineering › Biomedical Engineering › Nanoplatforms for cancer theranostics
- Physical Sciences › Materials Science › Materials Chemistry › Luminescence and Fluorescent Materials
- Keywords
- carbon dots, glioma, brain cancer diagnosis, fluorescence imaging, self-targeting, L-aspartic acid, D-glucose, pyrolysis synthesis, blood-brain barrier penetration, tissue distribution, non-invasive imaging, nanomedicine
- MeSH terms
- Animals, Brain Neoplasms, Carbon, Fluorescence, Glioma, Hippocampus, Quantum Dots, Cell Line, Tumor, Mice, Photoelectron Spectroscopy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review