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Related Concept Videos

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The development of flow cytometry techniques began in 1934 with initial attempts by Andrew Moldavan, a bacteriologist who counted the cells in a flowing capillary system. Moldavan pumped cells through a capillary tube focused under a microscope for visualization. The invention of photometry allowed the measurement of differentially-stained cells, and Louis Kamentsky developed the first multiparameter flow cytometer in 1965 to identify and count the cancer cells in cervical tissue specimens.
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Related Experiment Video

Updated: May 24, 2026

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
05:58

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry

Published on: July 17, 2019

Tracking protein aggregation and mislocalization in cells with flow cytometry.

Yasmin M Ramdzan1, Saskia Polling, Cheryl P Z Chia

  • 1Department of Biochemistry and Molecular Biology, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne, Victoria, Australia.

Nature Methods
|March 20, 2012
PubMed
Summary

Pulse-shape analysis (PulSA) allows high-throughput monitoring of protein changes in cells. This method tracks protein aggregation and localization, aiding research in diseases like Huntington's.

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Last Updated: May 24, 2026

Detecting and Characterizing Protein Self-Assembly In Vivo by Flow Cytometry
05:58

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Published on: July 17, 2019

Detection of Protein Aggregation using Fluorescence Correlation Spectroscopy
14:04

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4D Imaging of Protein Aggregation in Live Cells
08:59

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Published on: April 5, 2013

Area of Science:

  • Cell biology
  • Biophysics
  • Biochemistry

Background:

  • Protein localization and aggregation are critical cellular processes.
  • Monitoring these dynamics is essential for understanding cellular function and disease pathogenesis.
  • Current methods may lack the throughput or specificity for detailed analysis.

Purpose of the Study:

  • To introduce and validate pulse-shape analysis (PulSA) for monitoring protein localization changes in mammalian cells.
  • To demonstrate PulSA's capability for high-throughput tracking of various protein dynamics.
  • To apply PulSA in a disease model for enhanced cellular analysis.

Main Methods:

  • Application of pulse-shape analysis (PulSA) in flow cytometry.
  • Utilizing tetracysteine-based oligomer sensors.
  • Employing a cell model of Huntington's disease.

Main Results:

  • PulSA enabled high-throughput tracking of protein aggregation.
  • Successfully monitored protein translocation (cytoplasm to nucleus) and trafficking (plasma membrane to Golgi).
  • Observed stress-granule formation and differentiated cells with monomers, oligomers, and inclusion bodies in a Huntington's disease model.

Conclusions:

  • PulSA is a powerful tool for high-throughput monitoring of protein localization dynamics in mammalian cells.
  • The combination of PulSA with specific sensors enhances cellular analysis, particularly in disease contexts.
  • This approach offers new avenues for studying proteinopathies and developing therapeutic strategies.