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Related Concept Videos

The Mitotic Spindle02:27

The Mitotic Spindle

The mitotic spindle—or spindle apparatus—is a eukaryotic, cytoskeletal structure made up of long protein fibers called microtubules. Formed during cell division, the spindle separates sister chromatids and moves them to opposite ends of a parental cell, where the now individual chromosomes are distributed to two daughter cell nuclei.
The bipolar configuration of the mitotic spindle facilitates chromosomal segregation, preparing the cell for division. One mechanism that ensures bipolar mitotic...

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Related Experiment Video

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Live Cell Imaging to Assess the Dynamics of Metaphase Timing and Cell Fate Following Mitotic Spindle Perturbations
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A framework for image-based classification of mitotic cells in asynchronous populations.

Scott D Slattery1, Justin Y Newberg, Adam T Szafran

  • 1Molecular and Cellular Biology Department, Baylor College of Medicine, Houston, Texas 77030, USA.

Assay and Drug Development Technologies
|November 17, 2011
PubMed
Summary

We developed a new method using the MPM-2 marker for cell cycle analysis in high content screening (HCS). This approach simplifies drug discovery by analyzing asynchronous cells, improving anticancer drug identification.

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Last Updated: May 27, 2026

Live Cell Imaging to Assess the Dynamics of Metaphase Timing and Cell Fate Following Mitotic Spindle Perturbations
07:14

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Published on: September 20, 2019

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Mapping the Emergent Spatial Organization of Mammalian Cells using Micropatterns and Quantitative Imaging
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Published on: April 30, 2019

Area of Science:

  • Cellular Biology
  • Drug Discovery
  • Biotechnology

Background:

  • High content screening (HCS) is vital for drug discovery, offering rich cellular response data.
  • Integrating cell cycle analysis into HCS is crucial for identifying effective anticancer drugs targeting mitosis.
  • Current methods require cell synchronization, adding complexity to HCS.

Purpose of the Study:

  • To develop a simplified method for cell cycle analysis within HCS.
  • To enable cell cycle analysis in asynchronous cell populations, reducing experimental complexity.
  • To identify robust features for cell cycle classification in HCS.

Main Methods:

  • Developed a rules-based method utilizing the mitotic phosphoprotein monoclonal 2 (MPM-2) marker.
  • Applied the method to analyze cell cycle phases in both synchronized and asynchronous cell populations.
  • Compared the performance of the rules-based method with machine learning approaches for cell cycle classification.

Main Results:

  • The MPM-2 based rules-based method demonstrated consistent performance across different experimental conditions.
  • The method successfully analyzed cell cycle phases in asynchronous cell populations, bypassing the need for synchronization.
  • Performance of the rules-based method was comparable to established machine learning techniques.

Conclusions:

  • MPM-2 analysis offers a robust and simplified approach for integrating cell cycle analysis into HCS.
  • This method enhances the efficiency of drug discovery, particularly for anticancer agents.
  • The expressive features associated with MPM-2 analysis are suitable for HCS integration.