Issue 37, 2022

Quantitative analysis of multiple breast cancer biomarkers using DNA-PAINT

Abstract

Immunotherapy has become an efficient treatment method of breast cancer. Detection of proteins such as PD-L1 and CTLA-4, which are important immune checkpoint molecules, is attracting more and more attention as they play key roles in immunotherapy. Here, by combining the high resolution of DNA-PAINT (DNA points accumulation for imaging in nanoscale topography) with the qPAINT quantitative analysis method, accurate spatial localization and absolute quantification of PD-L1 and CTLA-4 on the membrane of breast cancer cells could be achieved. Meanwhile, exchange-PAINT was also conducted to count three other biomarkers (EpCAM, EGFR, and HER2). Simultaneous analysis of these biomarkers can greatly facilitate the differentiation of different kinds of breast cancer. Such a simple quantitative analysis method holds great potential in diagnosis and immunotherapy of cancers.

Graphical abstract: Quantitative analysis of multiple breast cancer biomarkers using DNA-PAINT

Supplementary files

Article information

Article type
Paper
Submitted
22 Apr 2022
Accepted
11 Aug 2022
First published
15 Aug 2022

Anal. Methods, 2022,14, 3671-3679

Quantitative analysis of multiple breast cancer biomarkers using DNA-PAINT

Z. Chen, G. Yin, J. Wei, T. Qi, Z. Qian, Z. Wang, S. Zong and Y. Cui, Anal. Methods, 2022, 14, 3671 DOI: 10.1039/D2AY00670G

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements