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Related Experiment Video

Updated: Jul 2, 2025

Studying Proteolysis of Cyclin B at the Single Cell Level in Whole Cell Populations
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Investigating Heterogeneous Cell-Cycle Progression Using Single-Cell Imaging Approaches.

Hee Won Yang1,2

  • 1Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA. hy2602@cumc.columbia.edu.

Methods in Molecular Biology (Clifton, N.J.)
|February 23, 2024
PubMed
Summary

Understanding cell-cycle progression is complex. New live single-cell imaging and sensors reveal how cell differences drive diverse responses, advancing cell-cycle regulation knowledge.

Keywords:
Cell-cycle sensorsCell-to-cell heterogeneitySingle-cell imaging

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Area of Science:

  • Cell Biology
  • Molecular Biology
  • Biophysics

Background:

  • Cell-cycle progression studies are hindered by complex regulatory networks and cell variability.
  • Traditional methods often require cell synchronization, masking inherent biological differences.
  • Recent technological advances offer new ways to study cell-cycle dynamics without synchronization.

Purpose of the Study:

  • To present a novel live single-cell imaging workflow for studying cell-cycle progression.
  • To leverage advanced live-cell sensors to capture cell-cycle dynamics.
  • To investigate the molecular mechanisms behind heterogeneous cell responses during cell-cycle progression.

Main Methods:

  • Development of a comprehensive live single-cell imaging workflow.
  • Utilization of cutting-edge live-cell sensors for real-time monitoring.
  • Analysis of cell-to-cell heterogeneity in cell-cycle dynamics.

Main Results:

  • The workflow successfully captures dynamic cell-cycle progression at the single-cell level.
  • Live-cell sensors provide high-resolution data on molecular events.
  • Heterogeneity in cell responses is observed and quantifiable.

Conclusions:

  • Live single-cell imaging with advanced sensors overcomes previous limitations in studying cell-cycle progression.
  • This approach facilitates the elucidation of molecular mechanisms driving cell-cycle heterogeneity.
  • The presented workflow offers a powerful tool for future cell-cycle research.