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Related Experiment Video

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Nanobead-based single-molecule pulldown for single cells.

Qirui Zhao1, Yusheng Shen2, Xiaofen Li1

  • 1Division of Life Science, Hong Kong University of Science and Technology, Hong Kong, China.

Heliyon
|November 29, 2023
PubMed
Summary

A novel nanobead-based single-cell protein-protein interaction (PPI) assay simplifies studying rare cells. This method offers a faster, easier, and more versatile approach for analyzing PPIs at the single-molecule level.

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Area of Science:

  • Biochemistry
  • Cell Biology
  • Molecular Biology

Background:

  • Cell-to-cell variability is crucial in physiology and medicine.
  • Single-cell techniques enable the study of rare cells and protein-protein interactions (PPIs).
  • Existing single-molecule pulldown (SiMPull) assays for single cells (sc-SiMPull) have technical limitations.

Purpose of the Study:

  • To develop an innovative and accessible nanobead-based approach for single-cell SiMPull (sc-SiMPull).
  • To overcome the technical barriers and limitations of current sc-SiMPull methods.
  • To enable universal application for studying PPIs in diverse single cells.

Main Methods:

  • Single cells are captured and lysed in microwells.
  • Commercially available, pre-surface-functionalized magnetic nanobeads capture target proteins and binding partners.
  • Protein-protein interactions are analyzed at the single-molecule level using microscopy.

Main Results:

  • The nanobead-based sc-SiMPull method is significantly faster and easier to use than previous techniques.
  • The approach demonstrates high reproducibility and versatility across different cell types and proteins.
  • Sensitivity and signal-to-background ratio are comparable to existing methods.

Conclusions:

  • Nanobead-based sc-SiMPull offers a streamlined and effective method for single-cell PPI analysis.
  • The technique's ease of use and versatility facilitate broader application in biological research.
  • This innovation advances the study of cell-to-cell variability and rare cell populations.