Immuno-Oncology & T Cell Exhaustion

Immune Checkpoint Diagram Generator

Use the Immune Checkpoint Diagram Generator to create clear, journal-quality figures. Map PD-1/PD-L1 interaction, CTLA-4 costimulatory competition, SHP-2 phosphatase recruitment, and antibody blockade.

PD-1 / PD-L1 axisCTLA-4 competitive inhibitionSHP-2 phosphatase recruitmentEditable SVG & PPTX

Immune Checkpoint Diagram Generator

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How it works

How to generate immune checkpoint diagrams in 3 steps

Move from experimental pathway notes to a structured, reviewable figure ready for manuscript or slide preparation.

1. Specify pathway complexes, enzymes, and compartments

Describe the upstream triggers, protein complexes, cofactors, and organelle membranes that anchor your biological mechanism.

2. Review directional arrows and regulatory logic

Check activation arrowheads, inhibitory bars, membrane translocations, and feedback loops against your experimental data.

3. Export layered SVG or editable PowerPoint slides

Download high-resolution 4K rasters, layered SVG vectors, or native PPTX slides to customize labels and colors before submission.

Featured immune checkpoint & immunotherapy diagram examples

Explore high-density scientific diagrams created with SciDraw AI. Fully editable in SVG and PPTX.

PD-1 / PD-L1 T Cell Exhaustion Axis

PD-1 and PD-L1 interaction diagram showing ITIM/ITSM phosphorylation and SHP-2 phosphatase mediated TCR signal dampening.

PD-1/PD-L1

CTLA-4 vs CD28 Costimulatory Competition

CTLA-4 competitive binding diagram showing high-affinity sequestration of CD80/CD86 from costimulatory CD28 receptors.

CTLA-4

Immune Checkpoint mAb Neutralizing Blockade

Checkpoint inhibitor antibody blockade diagram showing nivolumab and pembrolizumab sterically restoring T cell activation.

Anti-PD-1 mAb

Next-Gen Checkpoints: LAG-3, TIM-3, TIGIT

Next-generation immune checkpoints diagram illustrating LAG-3-MHC-II, TIM-3-Galectin-9, and TIGIT-CD155 exhaustion pathways.

LAG-3

Treg Immunosuppressive Checkpoint Niche

Regulatory T cell immunosuppressive checkpoint microenvironment diagram showing surface CTLA-4 and TGF-beta secretion.

Foxp3+ Treg

Overcoming CAR-T Exhaustion via PD-1 Disruption

CAR-T cell persistence diagram detailing CRISPR-Cas9 disruption of PDCD1 to resist tumor microenvironment exhaustion.

CAR-T
Why SciDraw

Why researchers choose SciDraw AI for immune checkpoint figures

SciDraw can help draft a scientific visual. Check all labels, relationships, and claims against your source before use.

Workflow Need
SciDraw AI
Generic Image AI
Scientific Entity & Complex Accuracy
Organizes canonical protein complexes, phosphorylation states, and readable English nomenclature.
Often invents non-existent protein shapes, garbled gene symbols, and unreadable pseudo-text.
Biochemical Arrow & Compartmental Logic
Clearly distinguishes activation arrows (→), inhibition bars (⊣), and organelle membrane boundaries.
Places arrows arbitrarily without membrane topology or clear distinction between activation and repression.
Downstream Vector & Slide Editability
Exports layered SVG vectors and PowerPoint (PPTX) slides with independently editable text labels.
Outputs flattened raster pixels where text typos and layout issues cannot be fixed.
Multi-Resolution & Presentation Output
Supports 16:9 widescreen, 2K/4K export, and reference-guided animation for talks and manuscripts.
Unpredictable aspect ratios and low resolution that require manual redrawing.
Practical guide

Scientific Guide & Publishing Standards

Follow proven scientific visualization principles to ensure your diagrams are accurate, legible, and aligned with journal requirements.

PD-1 and PD-L1 interaction diagram showing ITIM/ITSM phosphorylation and SHP-2 phosphatase mediated TCR signal dampening.

Molecular Mechanisms of the PD-1 / PD-L1 Inhibitory Axis

A scientifically precise immune checkpoint diagram must accurately portray the immunological synapse. Upon engagement with PD-L1 (B7-H1) or PD-L2 on tumor or myeloid cells, PD-1 on activated or exhausted T cells becomes phosphorylated on its immunoreceptor tyrosine-based switch motif (ITSM). This recruits the SHP-2 phosphatase, which dephosphorylates proximal signaling molecules CD28 and ZAP70.

  • Receptor-ligand pair: PD-1 (CD279) on T cells binding PD-L1 (CD274) on tumor or antigen-presenting cells
  • Signaling intermediates: Lck phosphorylation of PD-1 ITSM, SHP-2 (and SHP-1) recruitment
  • Downstream inactivation: Dephosphorylation of TCR CD3ζ chain, ZAP70, and CD28 costimulatory nodes
  • Functional outcome: Decreased IL-2 production, proliferation arrest, impaired cytolytic granule exocytosis
Checkpoint inhibitor antibody blockade diagram showing nivolumab and pembrolizumab sterically restoring T cell activation.

Contrasting CTLA-4 and PD-1 Immunological Milieus

Journals such as Cancer Cell, Nature Reviews Immunology, and Science Immunology expect authors to contextualize checkpoint timing and tissue localization. CTLA-4 operates primarily during initial T cell priming within secondary lymphoid organs by competing with CD28 for CD80/CD86 ligands. In contrast, the PD-1 pathway functions predominantly within peripheral tissues and the tumor microenvironment to restrain effector T cell activity.

  • CTLA-4 priming blockade: Outcompetes CD28 with 20- to 100-fold higher affinity for CD80/CD86, trans-endocytosing ligands
  • PD-1 peripheral brake: Extinguishes active TCR signaling in effector cytotoxic T lymphocytes (CTLs)
  • Dual blockade synergy: Combining anti-CTLA-4 (ipilimumab) and anti-PD-1 (nivolumab) to expand and reactivate tumor-infiltrating lymphocytes
CTLA-4 competitive binding diagram showing high-affinity sequestration of CD80/CD86 from costimulatory CD28 receptors.

Visual Design Rules for Oncology Checkpoint Diagrams

Ensure clear visual distinction between the cancer cell membrane, antigen-presenting cell (dendritic cell/macrophage), and the cytotoxic CD8+ T cell. Therapeutic monoclonal antibodies should be rendered as Y-shaped immunoglobulins clearly blocking the steric interface between checkpoint receptors and their counter-receptors.

  • Depict antibodies with distinct Fab binding arms sterically hindering receptor interaction
  • Use standard color differentiation: activating TCR/CD28 signaling in green/cyan, inhibitory PD-1/CTLA-4 in amber/rose
  • Illustrate the reversal of exhaustion: restoration of perforin, granzyme B, and IFN-γ release
Next-generation immune checkpoints diagram illustrating LAG-3-MHC-II, TIM-3-Galectin-9, and TIGIT-CD155 exhaustion pathways.

4. Export, layout, and multi-format adaptation for journals and talks

A single pathway or mechanism figure often serves multiple communication needs—from a two-column manuscript panel to a 16:9 conference slide or grant schematic. Plan your visual hierarchy so labels and compartments remain clear across formats:

  • Export layered SVG or native PPTX slides to adjust font sizes, arrow weights, and color palettes for your target venue.
  • Maintain consistent color coding across multi-panel figures so upstream triggers, active complexes, and inhibitors are immediately recognizable.
  • Verify all gene symbols, phosphorylation sites, and causal connectors against primary experimental data before manuscript submission.

Simple Pricing for Scientific Figures

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  • Slide & poster friendly layouts
  • Run up to 3 generation tasks concurrently
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  • Up to 480 videos / year
  • Supports all resolutions, including 1080P, 2K and 4K
  • Commercial use license included
  • SVG vector export
  • No watermark — slide/poster review downloads
  • Everything in Pro, plus:
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Free AI Immune Checkpoint Diagram Generator | SciDraw