Orthogonal DNA Self‐Assembly‐Based Expansion Microscopy Platform for Amplified, Multiplexed Biomarker Imaging

Author:

Tang Xiaochen12,Li Wenxing3,Chen Tianshu12,Zhang Runchi3,Yan Yilin3,Liu Chenbin3,Gou Hongquan3,Zhang Fanping34,Pan Qiuhui12,Mao Dongsheng3,Zhu Xiaoli3ORCID

Affiliation:

1. Department of Clinical Laboratory Medicine Shanghai Children's Medical Center School of Medicine Shanghai Jiao Tong University Shanghai 200127 P. R. China

2. Shanghai Key Laboratory of Clinical Molecular Diagnostics for Pediatrics Shanghai 200127 P. R. China

3. Department of Clinical Laboratory Medicine Shanghai Tenth People's Hospital of Tongji University Shanghai 200072 P. R. China

4. Department of Clinical Laboratory Yangpu Hospital Tongji University School of Medicine Shanghai 200090 P. R. China

Abstract

AbstractExpansion microscopy (ExM) facilitates nanoscale imaging under conventional microscopes, but it frequently encounters challenges such as fluorescence losses, low signal‐to‐noise ratio (SNR), and limited detection throughput. To address these issues, a method of orthogonal DNA self‐assembly‐based ExM (o‐DAExM) platform is developed, which employs hybridization chain reaction instead of conventional fluorescence labeling units, showcasing signal amplification efficacy, enhancement of SNR, and expandable multiplexing capability at any stage of the ExM process. In this work, o‐DAExM has been applied to compare with immunofluorescence‐based ExM for cellular cytoskeleton imaging, and the resolved nanoscale spatial distributions of cytoskeleton show outstanding performance and reliability of o‐DAExM. Furthermore, the study demonstrates the utility of o‐DAExM in accurately revealing exosome heterogeneous information and multiplexed analysis of protein targets in single cells, which provides infinite possibilities in super‐resolution imaging of cells and other samples. Therefore, o‐DAExM offers a straightforward expansion and signal labeling method, highlighting future prospects to study nanoscale structures and functional networks in biological systems.

Funder

National Key Research and Development Program of China

Natural Science Foundation of Shanghai Municipality

Shanghai Municipal Health Commission

National Natural Science Foundation of China

Publisher

Wiley

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