High-throughput RNA interference screening: tricks of the trade

Area of Science:

• Genomics
• Molecular Biology
• Assay Development

Background:

• High-throughput screening (HTS) requires robust and reproducible assays.
• Key metrics for assay validation include coefficient of variation (CV) and Z' factor.
• Small interfering RNA (siRNA) screening is a powerful tool in functional genomics.

Purpose of the Study:

• To optimize a whole-genome siRNA screening assay for improved data quality and reproducibility.
• To identify and mitigate sources of variability in the HTS assay protocol.
• To achieve target assay performance metrics: CV < 10% and Z' factor > 0.5.

Main Methods:

• Utilized standard HTS assay validation procedures.
• Focused on optimizing equipment and protocol steps for a whole-genome siRNA screen.
• Monitored coefficient of variation (CV) and Z' factor for assay performance.

Main Results:

• Initial assay performance showed CV > 10% and Z' factor of 0.51 ± 0.16.
• Post-optimization, the assay achieved an average CV of 7.2% and a Z' factor of 0.78 ± 0.06.
• Demonstrated significant improvement in assay robustness and data quality.

Conclusions:

• Equipment and protocol optimization are critical for successful HTS assay development.
• Achieved robust whole-genome siRNA screening with excellent reproducibility.
• The optimized assay provides reliable data for genetic screening applications.