Citation: Jipeng Ding, Runsha Xiao, Anyao Bi, Guanyang Chen, Nengwei Zhang, Zihua Chen, Xueping Feng, Wenbin Zeng. An ESIPT-based NIR-fluorescent probe for exosome labeling and in situ imaging[J]. Chinese Chemical Letters, ;2023, 34(11): 108273. doi: 10.1016/j.cclet.2023.108273 shu

An ESIPT-based NIR-fluorescent probe for exosome labeling and in situ imaging

Jipeng Ding ^{a, 1} ,
Runsha Xiao ^{b, c, 1} ,
Anyao Bi ^a ,
Guanyang Chen ^d ,
Nengwei Zhang ^d ,
Zihua Chen ^{b, c} ,
Xueping Feng ^{b, c, *,} ,
Wenbin Zeng ^{a, *,}

a.
Xiangya School of Pharmaceutical Sciences, Central South University, Changsha 410013, China
b.
Department of Gastrointestinal Surgery, Hunan Key Laboratory of Precision Diagnosis and Treatment of Gastrointestinal Tumor, Xiangya Hospital, Central South University, Changsha 410013, China
c.
Institute of Medical Sciences, Xiangya Hospital, Central South University, Changsha 410013, China
d.
Peking University Ninth School of Clinical Medicine (Beijing Shijitan Hospital, Capital Medical University), Beijing 100038, China

fxp1029@aliyun.com

wbzeng@hotmail.com

Received Date: 18 November 2022
Revised Date: 19 February 2023
Accepted Date: 27 February 2023
Available Online: 2 March 2023

Figures(5)

Exosomes play significant roles in physiological and tumorigenic processes and it is desirable to visualize and track the exosomes. Herein, a novel amphiphilic fluorescent probe HBT-Exo based on excited-state intramolecular proton transfer (ESIPT) mechanism is reported for exosome-labeling. Its ESIPT characteristics were confirmed by both theory calculation and experimental observation, which enable the probe to show a large Stokes shift as well as near-infrared (NIR) keto-form emission. HBT-Exo displayed excellent biocompatibility and remarkable efficiency for exosome-labeling in gastric cancer cells. Furthermore, the labeled exosomes were successfully applied for the real-time in situ imaging in mouse models.
- Exosome,
- Fluorescent probe,
- Excited state intramolecular proton transfer,
- Gastric cancer,
- Bioimaging
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