Literature DB >> 30890233

Long-Term Tracking of Cancer Cell Nucleus and Identification of Colorectal Cancer with an Aggregation-Induced Emission-Based Fluorescent Probe.

Wuwu Lv, Tang Gao, Shuanglian Wang, Jing Hou, Mian Liu, Jiu Yang, Tao Du, Zhikang Chen, Zihua Chen, Xueping Feng, Wenbin Zeng.   

Abstract

In clinical diagnosis and treatment, it is very important to distinguish cancer cells from normal cells. Nuclear-selective fluorescent probe that specifically target tumors can not only make the difference in assessing tumor margins during surgery and then facilitating accurate resection of the tumor, but also can provide crucial biomedical information of tumor progress if it can be used for long-term dynamic visualization of nucleus in cancer. Herein, a novel fluorescent probe 3 was designed and characterized to be of low-toxicity and water-solubility. The biological evaluation indicated that probe 3 prefers nucleic acids rather than accumulation in non-neuclear sites while superior to the commercial available agent DAPI (4',6-diamidino-2-phenylindole), in terms of its character of aggregation-induced emission (AIE), large Stokes shift (175 nm) and light stability. Further experiments demonstrated that probe 3 can not only differentiate SW480 and SW620 (cancer cells) from GES-1 (normal cells) with high contrast (dyed in nuclear of cancer cells and not in nuclear of normal cells), but also used for tracking cancer cell nuclear for long time. Furthermore, 3D reconstruction fluorescence imaging proved that probe 3 was able for identifying colorectal cancer tissues from para-carcinoma tissues by a strong contrast. Therefore, in precise surgery of colorectal cancer, probe 3 may be a promising-agent for guiding of intraoperation.

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Year:  2019        PMID: 30890233     DOI: 10.1166/jbn.2019.2737

Source DB:  PubMed          Journal:  J Biomed Nanotechnol        ISSN: 1550-7033            Impact factor:   4.099


  1 in total

1.  Genetically Encoded Phase Contrast Agents for Digital Holographic Microscopy.

Authors:  Arash Farhadi; Manuel Bedrossian; Justin Lee; Gabrielle H Ho; Mikhail G Shapiro; Jay L Nadeau
Journal:  Nano Lett       Date:  2020-10-29       Impact factor: 11.189

  1 in total

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