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Quantifying Spatiotemporal Parameters of Cellular Exocytosis in Micropatterned Cells
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Published on: September 16, 2020

Event timing at the single-cell level.

Evgeny Yurkovsky1, Iftach Nachman

  • 1School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel.

Briefings in Functional Genomics
|December 1, 2012
PubMed
Summary

Timing cellular events in single cells reveals crucial process information. Analyzing event timings and related variables helps understand biological drivers and relationships.

Area of Science:

  • Cellular biology
  • Systems biology
  • Biophysics

Background:

  • Cellular event timing contains vital information about underlying biological processes.
  • Measuring single-cell event times alongside other quantities aids in understanding process drivers and effects.

Purpose of the Study:

  • To review methods for timing cellular events in single cells.
  • To explore analytical approaches for interpreting event timings.
  • To discuss how timing data reveals biological process characteristics and relationships.

Main Methods:

  • Review of single-cell experimental techniques for event timing.
  • Analysis of statistical methods applied to event timing data.
  • Integration of timing data with morphological and molecular variable quantification.

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Single-Molecule Tracking Microscopy - A Tool for Determining the Diffusive States of Cytosolic Molecules
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Last Updated: May 16, 2026

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Published on: September 16, 2020

Live-cell Imaging of Single-Cell Arrays (LISCA) - a Versatile Technique to Quantify Cellular Kinetics
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Live-cell Imaging of Single-Cell Arrays (LISCA) - a Versatile Technique to Quantify Cellular Kinetics

Published on: March 18, 2021

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Main Results:

  • Different timing distributions indicate distinct biological process natures.
  • Statistical relationships between event timings elucidate sequential, parallel, independent, or interdependent biological processes.
  • Quantification of morphological and molecular variables can assess their impact on event timing.

Conclusions:

  • Single-cell event timing is a powerful tool for dissecting biological processes.
  • Analysis of timing distributions and inter-event relationships provides insights into biological mechanisms.
  • Integrating timing with other cellular variables enhances understanding of process regulation.