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 Experiment Videos

Th1/Th2 differentiation and cross-regulation.

M A Fishman1, A S Perelson

  • 1Department of Zoology, Faculty of Life Sciences, Tel Aviv University, Tel Aviv 69978, Israel. maf@reef.tau.ac.il

Bulletin of Mathematical Biology
|September 22, 2007
PubMed
Summary
This summary is machine-generated.

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

Hepatitis C virus dynamics and cellular gene expression in uPA-SCID chimeric mice with humanized livers during intravenous silibinin monotherapy.

Journal of viral hepatitis·2016
Same author

Viral dynamic modelling of Hepatitis C and resistance-associated variants in haemophiliacs.

Haemophilia : the official journal of the World Federation of Hemophilia·2016
Same author

Selective loss of myelin proteins during autolysis.

Neurochemical research·2013
Same author

Selective decrease of S-100 in discrete anatomical areas of undernourished rat brain.

Neurochemical research·2013
Same author

A perspective on modelling hepatitis C virus infection.

Journal of viral hepatitis·2010
Same author

Modelling hepatitis C virus kinetics during treatment with pegylated interferon alpha-2b: errors in the estimation of viral kinetic parameters.

Journal of viral hepatitis·2008
Same journal

Mathematical Modeling Shows that Overall Infection Burden is Reduced More by Vaccines that Decrease Spread or Accelerate Recovery than those that Lower Severe Infections or Death.

Bulletin of mathematical biology·2026
Same journal

Effects of Seasonal Births and Predation on Disease Spread.

Bulletin of mathematical biology·2026
Same journal

Identifiability, Sensitivity, and Genetic Algorithms in Bacterial Biofilm Selection Models.

Bulletin of mathematical biology·2026
Same journal

Slow Evolution Towards Generalism in a Model of Variable Dietary Range.

Bulletin of mathematical biology·2026
Same journal

CBINN: Cancer Biology-Informed Neural Network for Unknown Parameter Estimation and Missing Physics Identification.

Bulletin of mathematical biology·2026
Same journal

A Cost-Sensitive Behavioral Modeling Analysis of the Early Identification and Control of Infectious Diseases.

Bulletin of mathematical biology·2026
See all related articles

Naive T helper cells differentiate into Th1 or Th2 phenotypes. Mathematical modeling reveals that competition and cytokine cross-suppression lead to a uniform immune response dominated by a single T helper cell type.

Area of Science:

  • Immunology
  • Computational Biology
  • Systems Biology

Background:

  • T helper (Th) cell differentiation into Th1 and Th2 phenotypes is a critical adaptive immune process.
  • This differentiation is traditionally thought to be influenced by antigen-presenting cells (APCs) and cytokines.
  • Recent findings suggest a two-step process: initial commitment followed by cytokine-mediated selection.

Purpose of the Study:

  • To analyze the systemic behavior of T helper cell differentiation during an immune response using a mathematical model.
  • To investigate how APC-mediated competition and cytokine cross-suppression influence the final T helper cell phenotype outcome.

Main Methods:

  • Development and analysis of a mathematical model simulating T helper cell differentiation and immune response dynamics.

Related Experiment Videos

  • Extrapolation of experimental findings regarding irreversible commitment and cytokine-mediated expansion/suppression.
  • Main Results:

    • The model confirms that APCs present antigenic determinants, influencing naive T helper cell commitment to Th1 or Th2 phenotypes.
    • Competition for antigenic stimulation and cytokine-mediated cross-suppression between phenotypes are key drivers of immune response.
    • These mechanisms result in a response eventually dominated by T helper cells of a uniform receptor specificity (clonotype) and cytokine secretion phenotype.

    Conclusions:

    • The immune response is shaped by a combination of initial differentiation commitment and subsequent selective pressures.
    • APC-mediated competition and cytokine cross-suppression ensure a unified T helper cell response, crucial for effective immunity.
    • Mathematical modeling provides valuable insights into the complex dynamics governing T helper cell polarization and immune system regulation.