In Vivo Gene Editing Needs Robust Iteration, Not One-Time Optimization

By Tyler McCullough, Ph.D

Effective gene editing requires more than maximizing the performance of a single component. The editor, RNA chemistry, guide design, delivery vehicle, and target biology must work together as an integrated system, with each round of development informing the next.

For liver-directed applications, lipid nanoparticles offer a practical way to deliver RNA transiently, but successful delivery alone does not guarantee strong editing. RNA composition can limit an otherwise capable editor, while an underperforming guide can diminish the value of a potent LNP. Advancing a program therefore depends on understanding how these elements interact, identifying the variables that matter most, and carrying those insights forward through iterative optimization.

Explore how a connected development strategy can support gene-editing candidates that are potent, tolerable, and ready to progress.