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

High epitope expression levels increase competition between T cells.

Almut Scherer1, Marcel Salathé, Sebastian Bonhoeffer

  • 1Theoretical Biology, Institute of Integrative Biology, Swiss Federal Institute of Technology, Zurich, Switzerland.

Plos Computational Biology
|August 29, 2006
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

Cohort profile: Swiss personalized health network cohort consortium.

European journal of epidemiology·2026
Same author

Modelling the role of the microbiome in antimicrobial resistance across scales.

Nature microbiology·2026
Same author

Viral Simulation Reveals Overestimation Bias in Within-Host Phylodynamic Migration Rate Estimates Under Selection.

Molecular biology and evolution·2026
Same author

Temporal nutrition analysis associates dietary regularity and quality with gut microbiome diversity: insights from the Food & You digital cohort.

Nature communications·2025
Same author

Minimum days estimation for reliable dietary intake information: findings from a digital cohort.

European journal of clinical nutrition·2025
Same author

Interchangeability of patient pain, fatigue and global scores in patients with spondyloarthritis - a registry-based simulation study.

BMC rheumatology·2025
Same journal

Another 10 years of PLOS Computational Biology: A data-driven reflection on trends in genomics research.

PLoS computational biology·2026
Same journal

Mobility data resolution needed to inform predictive models of spatial epidemic spread from mobile phone data.

PLoS computational biology·2026
Same journal

DeepMethylation: A deep learning framework for tissue-specific DNA methylation prediction and functional variant annotation.

PLoS computational biology·2026
Same journal

Redefining and estimating the early-phase reproduction ratio for epidemic outbreaks in spatially structured populations.

PLoS computational biology·2026
Same journal

Optimized phenotype definitions boost GWAS power.

PLoS computational biology·2026
Same journal

Detection, communication, and individual identification with deep audio embeddings: A case study with North Atlantic right whales.

PLoS computational biology·2026
See all related articles

T cell competition depends on epitope levels. High expression favors non-specific competition, potentially excluding T cells, while low expression allows T cell coexistence for specific immune responses.

Area of Science:

  • Immunology
  • Computational Biology
  • Systems Biology

Background:

  • Theoretical and experimental evidence indicates T cell populations can compete.
  • Debate exists on whether T cell competition is for specific (cognate epitope ligand) or non-specific (e.g., antigen-presenting cell access) stimuli.

Purpose of the Study:

  • To investigate T cell competition dynamics using a computational model.
  • To determine how epitope expression levels influence the nature of T cell competition.
  • To identify conditions facilitating the coexistence of different epitope-specific T cell populations.

Main Methods:

  • Developed an individual-based computer simulation model of T cell competition.
  • Simulated scenarios with varying foreign epitope expression levels per antigen-presenting cell (APC).

Related Experiment Videos

Main Results:

  • Epitope expression level per APC dictates whether T cell competition is primarily specific or non-specific.
  • Low epitope expression promotes competition for specific stimuli, allowing easier coexistence of different T cell specificities.
  • High epitope expression increases the importance of non-specific competition, potentially leading to competitive exclusion between T cell populations.

Conclusions:

  • The study delineates circumstances favoring T cell coexistence based on epitope expression.
  • Understanding T cell competition mechanisms is crucial for developing immune therapies requiring broad immune responses.