4.8 Article

Integrated DNA triangular prism nanomachines for two-stage dynamic recognizing and bio-imaging from surface to the inside of living cells

期刊

BIOSENSORS & BIOELECTRONICS
卷 213, 期 -, 页码 -

出版社

ELSEVIER ADVANCED TECHNOLOGY
DOI: 10.1016/j.bios.2022.114478

关键词

DNA triangular Prism; DNA nanotechnology; Bio-imaging; Cancer biomarkers

资金

  1. Major Scientific and Technological Innovation Project of Shandong Province [2021CXGC010603]
  2. program for Key Research and Development Program of Shandong Province [2018GSF118023]
  3. Shandong Province Higher Educational Science and Technology Program [J18KA068]
  4. Shandong Province Higher Educational Youth and Innovation Talent Introduction and Education Program
  5. Major projects of tackling key industrial of Shandong's New-traditional Kinetic Energy Conversion
  6. Ministry of Industry and Information Technology (MIIT) of China [2017.373]

向作者/读者索取更多资源

A study has developed an integrated DNA triangular prism nanomachines for dynamic recognition and imaging of biomarkers from the plasma membrane to the cytoplasm. This strategy provides a reliable platform for tumor diagnosis and biomarker research.
The identification and detection of biomarkers in cancer cells play an essential role in the early detection of diseases, especially the detection of dual-biomarker. However, one of the most important limiting factors is how to realize the identification and labeling of biomarkers dynamically from the plasma membrane to the cytoplasm in living cells. In this study, integrated DNA triangular prism nanomachines (IDTPNs), a two-stage identification and dynamic bio-imaging strategy, recognize biomarkers from the plasma membrane to the cytoplasm have been designed. DNA triangular prism (DTP) was selected to act as a delivery platform with the aptamer Sgc8c and P53 modified on the side as the recognition molecules. Through the specific recognition of aptamers and the superior internalization of DTP, the IDTPNs realize the dynamic responses to PTK7 and p53 from the membrane to the cytoplasm in living cells. It is proved that the IDTPNs can be used for dynamic dual-biomarker recognition and bio-image from the surface to the inside of tumor cells automatically. Therefore, the strategy we developed provides a reliable platform for tumor diagnosis and biomarker research.

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