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Aunty protein stability characterization tool

Brochures and specifications | 2025 | Unchained LabsInstrumentation
Fluorescence spectroscopy, Particle size analysis
Industries
Proteomics
Manufacturer
Unchained Labs

Summary

Significance of the Topic


Protein stability assessment is a critical step in biopharmaceutical development, formulation optimization and quality control. Reliable characterization of thermal unfolding, aggregation and colloidal behavior helps ensure the safety, efficacy and shelf life of biologics, including therapeutic antibodies and viral vectors. High-throughput tools that deliver rapid, accurate stability data accelerate candidate selection and reduce resource consumption.

Aims and Study Overview


This application note introduces Aunty, a novel high-throughput platform for comprehensive protein stability profiling. The objectives are:
  • To demonstrate rapid thermal melting and aggregation measurements across a 96-well format.
  • To showcase parallel detection of intrinsic or extrinsic fluorescence alongside static and dynamic light scattering.
  • To illustrate applications in long-term formulation screening and viral vector stability monitoring.

Methodology and Used Instrumentation


Aunty combines three optical detection modes in a single workflow:
  • Full-spectrum fluorescence (250–750 nm) for intrinsic tryptophan signals or reporter dyes.
  • Static light scattering (SLS) at 660 nm to detect early-stage aggregation (Tagg, Tsize).
  • Dynamic light scattering (DLS) for hydrodynamic size and polydispersity measurements, enabling determination of colloidal stability parameters (kD, B22, G22).

Key instrument specifications include:
  • 96-well quartz glass consumable, 8 µL per well.
  • Thermal control from 15 °C to 95 °C at up to 10 °C/min with ±0.1 °C accuracy.
  • Simultaneous readout of all wells in one minute per thermal ramp.

Main Results and Discussion


Thermal melting experiments yielded precise melting temperatures (Tm) and unfolding onset (Tonset) with <2% CV. Aggregation onset (Tagg) and particle size shifts (Tsize) were captured in real time, revealing correlations between unfolding and aggregation events. Colloidal stability runs produced diffusion interaction parameters (kD) and second virial coefficients (B22, G22), enabling rank ordering of formulation additives. Long-term stability assays demonstrated continuous monitoring of fluorescent signals and scattering counts over hours to days, distinguishing between formulations. Fluorescence tracking of SYBR Gold dye quantified genome release from viral capsids, providing melting profiles specific to payload ejection.

Benefits and Practical Applications


Aunty enables:
  • High-throughput screening of buffer conditions, excipients or construct variants using minimal sample volumes.
  • Integrated analysis of multiple stability metrics in one platform, reducing experimental complexity.
  • Rapid decision-making through live data visualization and automated report generation.

Applications span biologics development, formulation optimization, QA/QC workflows and viral vector characterization for gene therapy.

Future Trends and Potential Applications


Ongoing advances may include expanded spectral channels for complex dye assays, integration with machine learning for predictive stability modeling, and remote operation via cloud-based software. Miniaturization of consumables and further acceleration of thermal ramp rates could drive throughput even higher. Adoption of automated sample handling robots will streamline full-plate workflows in large screening campaigns.

Conclusion


Aunty delivers a unique combination of speed, sensitivity and data richness for protein stability studies. Its 96-well format, multi-modal detection and robust thermal control equip researchers with actionable insights into unfolding, aggregation and colloidal behavior. By consolidating diverse stability assays into one platform, Aunty accelerates biopharmaceutical development and supports rigorous quality monitoring.

Content was automatically generated from an orignal PDF document using AI and may contain inaccuracies.

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