cell
T Cell Subsets
Adaptive decision layer for specificity, memory, tolerance, cytotoxicity, and chronic exhaustion
Review layer
Last reviewed 2026-05-17
Systems teaching draft. Content is structured for education and graph expansion, with formal source tagging ready for the next review pass.
Provenance layer
External context
Curated external IDs add pathway and protein context around Atlas content. They do not update the graph automatically and they are not patient-specific interpretation.
State signature
Systems profile
System effects
Primary mapped axes from existing Atlas data.
Tissue
Organ, barrier, stromal, vascular, or local niche behavior.
Tolerance
Immune restraint, resolution, regulatory tone, or set-point control.
Chronicity
Memory, priming, fibrosis, exhaustion, remodeling, or other time-dependent drift.
Local map
Relationship field
Arrows point from the upstream source toward the receiving target. Restraint edges use a bar; association edges stay dashed because they are not causal arrows.
Selected relationship
TH2 polarization through STAT6 and GATA3
Read as source increases target activity, recruitment, or threshold crossing.
What this relationship means
Read this as IL-4 influencing T Cell Subsets; the arrow names the direction, while the details explain the likely system domain.
Effect of source
IL-4 is the upstream signal or context.
Effect on target
T Cell Subsets is the receiving node whose behavior may shift.
Use with caution
Use this as a map-reading aid, not as diagnosis, triage, treatment guidance, or a risk score.
System effect
IL-4 influences T Cell Subsets; the axes below show which mapped systems carry that relationship.
Inflammation
Inflammatory alarm, recruitment, mediator release, or tissue-damaging amplification.
Tissue
Organ, barrier, stromal, vascular, or local niche behavior.
Metabolism
Energy allocation, glycolysis, mitochondrial strain, lipid signaling, or nutrient-sensitive behavior.
Axes are mapped cues from Atlas data, not clinical predictions.
Evidence context
Curated edge, reviewed endpoints, and mapped external anchors.
Interleukin-4 and Interleukin-13 signaling
R-HSA-6785807 - checked 2026-06-28
Graph neighborhood
Direct relationships
Arrow shows upstream source toward receiving target.
TH2 polarization through STAT6 and GATA3
Context link: no causal arrow.
Surveillance can become pathogenic with barrier dysfunction
Arrow shows upstream source toward receiving target.
Antigen presentation with costimulation and cytokine context
Network behavior
Systems Overview
T cells translate antigen context and cytokine ecology into specialized states including TH1, TH2, TH17, Treg, cytotoxic memory, tissue residency, and exhaustion.
Lineage
Origin
HSC -> lymphoid progenitor -> thymocyte -> naive T cell -> effector, memory, regulatory, or exhausted states
Transcription factors: T-bet, GATA3, RORγt, FOXP3, BCL6, TOX, TCF1
Lifecycle Visualizer
weeks
Thymic selection
Central tolerance and TCR selection
months-years
Naive circulation
Antigen-seeking surveillance
days
Effector expansion
Clonal proliferation and subset polarization
weeks-years
Memory or exhaustion
Long-lived recall or chronic antigen adaptation
Activation and Suppression
Surface and Secreted Signals
Metabolic State
Programs
Acute: Activation requires anabolic mTOR signaling and glycolytic expansion.
Chronic: Repeated antigen and inflammatory exposure produce checkpoint expression, mitochondrial strain, and exhaustion.
Tissue Roles
gut: Maintains tolerance while permitting anti-pathogen and TH17 barrier programs.
lung: Balances viral memory, allergy, and tissue-resident surveillance.
skin: Resident memory cells accelerate recall and can sustain inflammatory dermatoses.
CNS: Limited surveillance can become pathogenic when barrier and antigen context shift.
lymphoid: Naive priming, germinal center help, and memory shaping occur in organized niches.
Disease Associations
Clinical Pearls
- T cell patterns are antigen plus context, not antigen alone.
- Exhaustion is an adaptation to chronic stimulation, not simply weakness.
- Tregs and tissue metabolism often determine whether a response becomes protective or destructive.