Put mRNA into the right place and the right cells.
SV-Delivery™ is a family of cell-type-specific lipid nanoparticle (LNP) kits for delivering mRNA, saRNA, and DNA — in vitro, ex vivo, and in vivo — without antibody conjugation. Pick the right kit, design your experiment, and troubleshoot — in minutes.
Sources: SunVax conference presentation 2026-05-03 (slides 2-4). Every claim on this site is cited with an evidence grade (A/B/C). See about this site for our methodology.
- Mouse CD4 T cells in vitro (SV101)94.1% GFP+
- Mouse CD8 T cells in vitro (SV101)79.8% GFP+
- Balb/c in vivo CD4 T (10 μg)52.2%
- Balb/c in vivo CD8 T (10 μg)56.5%
- Particle size (SV101/102/105/106)~80-100 nm
- Freeze-thaw stability tested3 cycles
What SV-Delivery™ offers
13 SV-Delivery™ kits
T cell, NK cell, B cell, monocyte/macrophage, HSC, and lymphatic targeting — for mouse and human. 6 listed, others under partnership development.
Browse the catalog →Cell-type-specific tropism
Engineered via ionizable lipid chemistry — not antibody conjugation. SV101 achieves 94.1% in vitro CD4 T transfection with 4.34% CD19 B-cell off-target (selective).
How the kits are designed →Research-grade + partnership
Buy listed kits directly from order.sunvaxmrna.com. For custom formulations or new cell-type targeting, contact the partnership team.
Partner with SunVax ↗What we do not yet have
Honest disclosure is part of the methodology. The SV-Delivery™ platform is research-grade and still maturing. Specifically:
- Human in vivo efficacy data is limited. PDX (patient-derived xenograft) experiments show 92-94% delivery efficacy, but the host is still an immunodeficient mouse — these results are not direct human in vivo evidence. A
- Repeat dosing immunogenicity is not fully characterized. SunVax has run a small number of tests; complete dose-response and anti-capsid antibody data are still in progress. B
- Most validation data uses mouse cytokine constructs. Human-construct preclinical testing is the necessary next step but is not yet complete. B
- The platform is empirical, not ML-designed. SunVax explicitly uses an empirical screening + pattern-finding workflow — not machine learning or computational simulation. We don't market this site as "AI-driven design". A
Sources: SunVax conference 2026-05-03 (slides 3-4 and Q&A transcript Q1-Q5). All evidence grades are disclosed per claim. To request a correction, email [email protected].
Four tools to get going
Built for wet-lab scientists, not procurement portals. Pick a kit, design an experiment, troubleshoot a failed run — sourced from public SunVax data, every claim with a citation.
1 · Kit selector
Three dropdowns → up to three SV-Delivery™ recommendations with match reasons and caveats.
2 · 13 product pages
Every kit: target cell, application, particle data, efficacy, dose, limitations, and source citations.
3 · Experiment designer
Pick a kit, set cell count, replicates, readout — get a downloadable bench protocol with controls.
4 · Troubleshooter
Decision tree for low transfection / cell death / no expression. Generates a diagnostic trace you can paste into a support email.