Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Phosphorylation of a conserved intrinsically disordered region is necessary for activation of a bacterial Hanks-type Ser/Thr kinase signaling pathway.

bioRxiv : the preprint server for biology·2025
Same author

Co-therapy with S1P and heparan sulfate derivatives to restore endothelial glycocalyx and combat pro-atherosclerotic endothelial dysfunction.

Life sciences·2025
Same author

Co-Therapy with S1P and Heparan Sulfate Derivatives to Restore Endothelial Glycocalyx and Combat Pro-Atherosclerotic Endothelial Dysfunction.

bioRxiv : the preprint server for biology·2024
Same author

Experimental measurement and computational prediction of bacterial Hanks-type Ser/Thr signaling system regulatory targets.

Molecular microbiology·2024
Same author

A microbiota and dietary metabolite integrates DNA repair and cell death to regulate embryo viability and aneuploidy during aging.

Science advances·2023
Same author

Lessons Learned from Two Decades of Modeling the Heat-Shock Response.

Biomolecules·2022
Same journal

Isolation of Mesenchymal Stem Cell-Derived Extracellular Vesicles.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Modeling Melanoma Immune Surveillance by CAR-T Cells in Human Skin Organoids.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Stepwise Optimization of a Matrigel-Based In Vitro Angiogenesis Assay for Reproducible and Quantifiable 2D-Tube Formation Using HUVECs.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Quantifying Mechanical Properties of Fresh Ovarian Tissue with Optical Brillouin Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

3D Chromatin Architecture During Early Development: New Methods and New Findings.

Methods in molecular biology (Clifton, N.J.)·2026
Same journal

Metabolic Plasticity in Embryogenesis Throughout the Lens of NAD<sup></sup>.

Methods in molecular biology (Clifton, N.J.)·2026
See all related articles

Related Experiment Video

Updated: Sep 29, 2025

Comparative Analysis of Experimental Methods to Quantify Animal Activity in Caenorhabditis elegans Models of Mitochondrial Disease
05:51

Comparative Analysis of Experimental Methods to Quantify Animal Activity in Caenorhabditis elegans Models of Mitochondrial Disease

Published on: April 4, 2021

2.8K

Primer on Mathematical Modeling in C. elegans.

Ayush Ranawade1, Erel Levine2

  • 1Department of Bioengineering, Northeastern University, Boston, MA, USA.

Methods in Molecular Biology (Clifton, N.J.)
|March 23, 2022
PubMed
Summary
This summary is machine-generated.

Mathematical and computational models aid biological research by interpreting data and guiding experiments. Caenorhabditis elegans (C. elegans) serves as an ideal model for quantitative studies, exemplified by its heat-shock response.

Keywords:
C. elegansHeat-shock responseMathematical modelingQuantitative biology

More Related Videos

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.3K
Novel Metrics to Characterize Embryonic Elongation of the Nematode Caenorhabditis elegans
10:46

Novel Metrics to Characterize Embryonic Elongation of the Nematode Caenorhabditis elegans

Published on: March 28, 2016

6.1K

Related Experiment Videos

Last Updated: Sep 29, 2025

Comparative Analysis of Experimental Methods to Quantify Animal Activity in Caenorhabditis elegans Models of Mitochondrial Disease
05:51

Comparative Analysis of Experimental Methods to Quantify Animal Activity in Caenorhabditis elegans Models of Mitochondrial Disease

Published on: April 4, 2021

2.8K
Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform
07:20

Automated Behavioral Analysis of Large C. elegans Populations Using a Wide Field-of-view Tracking Platform

Published on: November 28, 2018

9.3K
Novel Metrics to Characterize Embryonic Elongation of the Nematode Caenorhabditis elegans
10:46

Novel Metrics to Characterize Embryonic Elongation of the Nematode Caenorhabditis elegans

Published on: March 28, 2016

6.1K

Area of Science:

  • Computational Biology
  • Systems Biology
  • Developmental Biology

Background:

  • Mathematical and computational models are increasingly vital for interpreting biological data, testing hypotheses, and designing experiments.
  • Quantitative data is essential for effective mathematical modeling of biological systems.
  • The nematode Caenorhabditis elegans (C. elegans) offers a robust system for acquiring high-quality quantitative data and performing precise perturbations.

Purpose of the Study:

  • To provide a primer on the general procedures for modeling biological systems.
  • To demonstrate the application of mathematical modeling using the C. elegans heat-shock response as a case study.
  • To foster collaboration between biologists and quantitative scientists.

Main Methods:

  • Review of general mathematical modeling procedures in biology.
  • Case study analysis of the heat-shock response in C. elegans.
  • Discussion of data requirements and experimental design for modeling.

Main Results:

  • The study outlines a systematic approach to applying mathematical models to biological processes.
  • C. elegans is highlighted as a suitable model organism for quantitative biological modeling due to its experimental tractability.
  • The heat-shock response in C. elegans serves as a practical example of the modeling process.

Conclusions:

  • Mathematical modeling is a powerful tool for advancing biological understanding and experimental design.
  • Effective collaboration between biologists and quantitative modelers is crucial for leveraging complex biological data.
  • C. elegans provides an excellent platform for developing and validating computational models of biological phenomena.