Title |
Near-infrared quantum dots labelled with a tumor selective tetrabranched peptide for in vivo imaging
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Published in |
Journal of Nanobiotechnology, March 2018
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DOI | 10.1186/s12951-018-0346-1 |
Pubmed ID | |
Authors |
Jlenia Brunetti, Giulia Riolo, Mariangela Gentile, Andrea Bernini, Eugenio Paccagnini, Chiara Falciani, Luisa Lozzi, Silvia Scali, Lorenzo Depau, Alessandro Pini, Pietro Lupetti, Luisa Bracci |
Abstract |
Near-infrared quantum dots (NIR QDs) are a new class of fluorescent labels with excellent bioimaging features, such as high fluorescence intensity, good fluorescence stability, sufficient electron density, and strong tissue-penetrating ability. For all such features, NIR QDs have great potential for early cancer diagnosis, in vivo tumor imaging and high resolution electron microscopy studies on cancer cells. In the present study we constructed NIR QDs functionalized with the NT4 cancer-selective tetrabranched peptides (NT4-QDs). We observed specific uptake of NT4-QDs in human cancer cells in in vitro experiments and a much higher selective accumulation and retention of targeted QDs at the tumor site, compared to not targeted QDs, in a colon cancer mouse model. NIR QDs labelled with the tetrabranched NT4 peptide have very promising performance for selective addressing of tumor cells in vitro and in vivo, proving rising features of NT4-QDs as theranostics. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Italy | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 8 | 18% |
Student > Master | 6 | 14% |
Student > Bachelor | 4 | 9% |
Other | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 6 | 14% |
Unknown | 15 | 34% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 5 | 11% |
Medicine and Dentistry | 5 | 11% |
Agricultural and Biological Sciences | 4 | 9% |
Unspecified | 2 | 5% |
Chemistry | 2 | 5% |
Other | 7 | 16% |
Unknown | 19 | 43% |