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Epic Gene Therapy Tools

Brochures and specifications | 2021 | Unchained LabsInstrumentation
Particle characterization, Particle size analysis, UV–VIS spectrophotometry, Sample Preparation
Industries
Proteomics
Manufacturer
Unchained Labs

Summary

Significance of the Topic

High-precision characterization of viral vectors and nanoparticles is critical for gene therapy development and quality control. Traditional methods often require large volumes, labels or multiple instruments, leading to time-consuming workflows and potential sample loss. An integrated platform that minimizes sample use while delivering comprehensive data can accelerate research and ensure consistent product quality.

Study Aims and Overview

This work presents a suite of complementary instruments designed to streamline characterization and preparation of adeno-associated viruses (AAVs), lipid nanoparticles (LNPs) and other nanoparticles. Key objectives include:
  • Simultaneous measurement of protein and nucleic acid concentrations, particle size and capsid titer using minimal sample volume
  • Rapid buffer exchange and concentration of biomolecules in high-throughput formats
  • Integrated stability analysis to monitor capsid integrity, genome ejection and aggregation

Methodology and Instrumentation

The platform includes three core instruments:
  • Stunner: Combines UV/Vis spectroscopy with dynamic light scattering (DLS) and static light scattering (SLS) on a 2 µL sample to quantify capsid titer, empty/full ratio, payload concentration, size and aggregation.
  • Big Tuna: Automates ultrafiltration/diafiltration for 24- or 96-well plates, enabling parallel buffer exchange and concentration with acoustic volume sensing and pressure control.
  • Uncle: Utilizes full-spectrum fluorescence, SYBR Gold dye and SLS to assess capsid thermal stability, genome release and aggregation in 9 µL samples.

Used Instrumentation

  • Stunner (integrated UV/Vis, DLS, SLS system)
  • Big Tuna (automated UF/DF platform)
  • Uncle (multi-mode fluorescence and light scattering instrument)

Main Results and Discussion

The integrated workflow enables:
  • Accurate AAV capsid titer determination down to 1 × 10^12 vg/mL and precise empty/full ratio assessment without labels or standards.
  • Quantification of RNA payload in turbid LNP formulations using custom spectral unmixing to separate absorbance signals from turbidity.
  • High-throughput nanoparticle sizing and polydispersity measurements across 96 samples in under one hour, reducing sample requirements and operator time.
  • Thermal stability profiling of AAV capsids, identifying melting transitions (Tm1, Tm2) and aggregation onset (Tagg) to inform formulation optimization.

Benefits and Practical Applications

  • Minimal sample volume (2–9 µL) and label-free assays simplify workflows and lower costs.
  • Integrated multi-parameter readout consolidates data collection, reducing instrument footprint and hands-on time.
  • High-throughput capabilities support large-scale screening in gene therapy vector development, vaccine research and nanoparticle formulation.
  • Automated buffer exchange enables rapid sample preparation for downstream analytical assays or manufacturing steps.

Future Trends and Potential Applications

Emerging directions include:
  • Integration with laboratory data management systems and machine learning algorithms for predictive analytics.
  • Expansion to additional nanoparticle types and payloads, including small molecules and complex biologics.
  • Miniaturized or microfluidic adaptations for single-cell or single-particle analysis.
  • Enhanced regulatory compliance through traceable workflows and electronic audit trails.

Conclusion

The combined use of Stunner, Big Tuna and Uncle offers a cohesive solution for comprehensive nanoparticle and viral vector characterization. By consolidating multiple analytical techniques into a streamlined, high-throughput platform, researchers can accelerate development, ensure quality and reduce resource consumption.

References

No references were provided in the source document.

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