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  5. Robust Red Organic Nanoparticles for In Vivo Fluorescence Imaging of Cancer Cell Progression in Xenografted Zebrafish

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Article
en
2017

Robust Red Organic Nanoparticles for In Vivo Fluorescence Imaging of Cancer Cell Progression in Xenografted Zebrafish

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0 Files

en
2017
Vol 27 (31)
Vol. 27
DOI: 10.1002/adfm.201701418

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Ben Zhong Tang
Ben Zhong Tang

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Gengwei Lin
Purnima Naresh Manghnani
Duo Mao
+5 more

Abstract

Bright and red‐emissive organic nanoparticles (NPs) are demonstrated as promising for in vivo fluorescence imaging. However, most red organic dyes show greatly weakened or quenched emission in the aggregated state. In this work, a robust red fluorophore ( t ‐BPITBT‐TPE) with strong aggregate‐state photoluminescence and good biocompatibility is presented. The NPs comprised of t ‐BPITBT‐TPE aggregates encapsulated within 1,2‐distearoyl‐ sn ‐glycero‐3‐phosphoethanolamine‐ N ‐[methoxy(polyethylene glycol) (DSPE‐mPEG) micelles exhibit a photoluminescence peak at 660 nm with a high fluorescence quantum yield of 32% in aqueous media. The NPs can be facilely charged by using the same polymeric matrix with different terminal groups, e.g., methoxy (DSPE‐mPEG), amine (DSPE‐PEG‐NH 2 ), or carboxymethyl (DSPE‐PEG‐COOH) groups. The biocompatibility, toxicity, circulation, and biodistribution of the NPs are assessed using the zebrafish model through whole embryo soaking and intravenous delivery. Furthermore, HeLa and MCF‐7 cells tagged with t ‐BPITBT‐TPE in DSPE‐PEG‐NH 2 ‐TAT polymer NPs are xenografted into zebrafish larvae to successfully track the cancer cell proliferation and metastasis, demonstrating that these new NPs are efficient cancer cell trackers. In addition, the NPs also show good in vivo imaging ability toward 4T1 tumors in xenografted BALB/c mice.

How to cite this publication

Gengwei Lin, Purnima Naresh Manghnani, Duo Mao, Cathleen Teh, Yinghao Li, Zujin Zhao, Bin Liu, Ben Zhong Tang (2017). Robust Red Organic Nanoparticles for In Vivo Fluorescence Imaging of Cancer Cell Progression in Xenografted Zebrafish. , 27(31), DOI: https://doi.org/10.1002/adfm.201701418.

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Publication Details

Type

Article

Year

2017

Authors

8

Datasets

0

Total Files

0

Language

en

DOI

https://doi.org/10.1002/adfm.201701418

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