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Related Experiment Video

Updated: Jul 20, 2026

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
10:41

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools

Published on: December 16, 2015

Computational insights into Caenorhabditis elegans vulval development.

Jasmin Fisher1, Nir Piterman, E Jane Albert Hubbard

  • 1Department of Computer Science and Applied Mathematics, Weizmann Institute of Science, Rehovot 76100, Israel. jasmine.fixher@weizmann.ac.il

Proceedings of the National Academy of Sciences of the United States of America
|February 3, 2005
PubMed
Summary

This study models Caenorhabditis elegans vulval development, revealing how EGF receptor signaling and LIN-12/Notch pathways interact. The model highlights the importance of temporal responses in cell fate specification and suggests a novel mechanism preventing neighboring cells from adopting the same fate.

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Area of Science:

  • Developmental biology
  • Systems biology
  • Computational biology

Background:

  • Vulval development in Caenorhabditis elegans is a key model for understanding pattern formation.
  • Cell fate specification relies on inductive (EGF receptor pathway) and lateral (LIN-12/Notch) signaling.
  • Previous models form the basis of current understanding of these interacting pathways.

Purpose of the Study:

  • To formalize and model the Sternberg and Horvitz (1989) model of vulval development using statecharts.
  • To investigate the interaction between the EGF receptor and LIN-12/Notch signaling pathways.
  • To explore the temporal dynamics of cell fate determination.

Main Methods:

  • Utilized methods from the engineering of complex reactive systems.

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Last Updated: Jul 20, 2026

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools
10:41

Tracking and Quantifying Developmental Processes in C. elegans Using Open-source Tools

Published on: December 16, 2015

Computational Analysis of the Caenorhabditis elegans Germline to Study the Distribution of Nuclei, Proteins, and the Cytoskeleton
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Published on: April 19, 2018

High-Resolution C. elegans Imaging Across All Larval Stages
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  • Employed the visual formalism of statecharts to model the biological system.
  • Formalized the 1989 model by Sternberg and Horvitz.

    • Main Results:

    • The model suggests that varying levels of inductive signal create a temporally graded response in the EGF receptor mitogen-activated protein kinase (MAPK) pathway.
    • The importance of this temporal response in cell fate specification is made explicit.
    • The model proposes an additional mechanism that prevents adjacent vulval precursor cells from adopting the primary fate during lateral specification.

    Conclusions:

    • Computational modeling provides insights into complex biological systems like vulval development.
    • Temporal dynamics of signaling pathways play a crucial role in precise pattern formation.
    • The study suggests novel regulatory mechanisms governing cell-cell interactions and fate decisions.