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Label-retention expansion microscopy

  • Xiaoyu Shi
  • , Qi Li
  • , Zhipeng Dai
  • , Arthur A. Tran
  • , Siyu Feng
  • , Alejandro D. Ramirez
  • , Zixi Lin
  • , Xiaomeng Wang
  • , Tracy T. Chow
  • , Jiapei Chen
  • , Dhivya Kumar
  • , Andrew R. McColloch
  • , Jeremy F. Reiter
  • , Eric J. Huang
  • , Ian B. Seiple
  • , Bo Huang

Research output: Contribution to journal › Article › peer-review

Abstract

Expansion microscopy (ExM) increases the effective resolving power of any microscope by expanding the sample with swellable hydrogel. Since its invention, ExM has been successfully applied to a wide range of cell, tissue, and animal samples. Still, fluorescence signal loss during polymerization and digestion limits molecular-scale imaging using ExM. Here, we report the development of label-retention ExM (LR-ExM) with a set of trifunctional anchors that not only prevent signal loss but also enable high-efficiency labeling using SNAP and CLIP tags. We have demonstrated multicolor LR-ExM for a variety of subcellular structures. Combining LR-ExM with superresolution stochastic optical reconstruction microscopy (STORM), we have achieved molecular resolution in the visualization of polyhedral lattice of clathrin-coated pits in situ.

Original languageEnglish
Article numbere202105067
JournalJournal of Cell Biology
Volume220
Issue number9
DOIs
StatePublished - 2021

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