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Whitepaper · 2026 Edition

Download CRISPR QC's Latest Whitepaper: Active Nuclear RNP Time Course Mapping

Mapping active RNP levels in the nucleus across delivery modalities and timepoints.

Key Takeaways

  • Delivery is a major source of CRISPR editing variability—yet most workflows lack a direct way to measure functional RNP activity in the nucleus over time.
  • Active nuclear RNP resolves into a distinct kinetic signature for each delivery modality: rise to peak, residence window, and decay.
  • Time-resolved nuclear exposure provides an upstream, mechanism-linked readout for comparing delivery systems before committing to downstream editing assays.
Active Nuclear RNP Time Course Mapping whitepaper cover

Why delivery kinetics matter

CRISPR delivery performance is governed by modality, formulation, dose, release kinetics, nuclear import, and timing. Without a quantitative map of active nuclear RNP, delivery optimization stays empirical—and downstream editing readouts blur cause and effect.

This whitepaper outlines a biochemical, mechanism-linked approach that measures how delivery variables change the amount and activity of on-target RNPs that reach the nucleus—isolating functional nuclear exposure from total delivery.

What the assay measures

  • Target-binding RNPs in the nucleus across planned timepoints
  • Catalytically active RNPs after Mg²⁺ activation
  • Nuclear exposure kinetics: time to peak, residence duration, and active RNP AUC
Figure showing time-resolved nuclear exposure of active RNPs across delivery modalities
Fig. 1 — Active nuclear RNP activity over time across delivery methods (electroporation, LNP, AAV, EDV).

From time course to editing decisions

The same nuclear time course reveals when—and for how long—each modality clears a productive-editing threshold, supporting modality ranking, dosing strategy, HDR timing, and delivery troubleshooting.

Figure showing nuclear RNP time course with peak exposure and functional editing window
Fig. 2 — Nuclear RNP time course with peak exposure and the functional editing window.

Applications covered in the paper

  • Selecting the best delivery system based on real nuclear activity—not bulk uptake alone
  • Optimizing delivery conditions across electroporation, LNPs, AAV, EDVs, and other carriers
  • Troubleshooting weak or inconsistent editing by revealing nuclear-entry bottlenecks
  • Supporting translational and preclinical development with mechanism-linked kinetic data

Complete the form above to download the full whitepaper and explore the assay framework in detail.