4.8 Article

NIR-II Fluorescent Self-Assembled Peptide Nanochain for Ultrasensitive Detection of Peritoneal Metastasis

期刊

ANGEWANDTE CHEMIE-INTERNATIONAL EDITION
卷 58, 期 32, 页码 11001-11006

出版社

WILEY-V C H VERLAG GMBH
DOI: 10.1002/anie.201905643

关键词

fluorescence; imaging agents; metastasis; nanostructures; peptides

资金

  1. Ministry of Science and Technology of China [2016YFA0101503, 2017YFA0205503] Funding Source: Medline
  2. the National Natural Science Foundation of China [21671198,21425103,21501192,21703282] Funding Source: Medline
  3. the Natural Science Foundation of Jiangsu Province [BK20170066, BE2016682] Funding Source: Medline
  4. the Open Research Fund Program of the State Key Laboratory of Virology of China [2016IOV004] Funding Source: Medline
  5. the Strategic Priority Research Program of Chinese Academy of Science [XDB32030200] Funding Source: Medline
  6. Youth Innovation Promotion Association of Chinese Academy of Sciences Funding Source: Medline

向作者/读者索取更多资源

Fluorescence-guided cytoreductive surgery is one of the most promising approaches for facile elimination of tumors in situ, thereby improving prognosis. Reported herein is a simple strategy to construct a novel chainlike NIR-II nanoprobe (APP-Ag2S-RGD) by self-assembly of an amphiphilic peptide (APP) into a nanochain with subsequent chemical crosslinking of NIR-II Ag2S QDs and the tumor-targeting RGD peptide. This probe exhibits higher capability for cancer cell detection compared with that of RGD-functionalized Ag2S QDs (Ag2S-RGD) at the same concentration. Upon intraperitoneal injection, superior tumor-to-normal tissue signal ratio is achieved and non-vascularized tiny tumor metastatic foci as small as about 0.2 mm in diameter could be facilely eliminated under NIR-II fluorescent imaging guidance. These results clearly indicate the potential of this probe for fluorescence-guided tumor staging, preoperative diagnosis, and intraoperative navigation.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据