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Kinetic Screening of Nuclease Activity using Nucleic Acid Probes
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Model selection in preclinical nucleic acid therapeutics research.

Peter L Oliver1, Alyssa C Hill2

  • 1MRC Nucleic Acid Therapy Accelerator (NATA), Research Complex at Harwell, Harwell Science and Innovation Campus, Oxford, UK. p.oliver@har.mrc.ac.uk.

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Summary

Selecting effective preclinical models is crucial for advancing nucleic acid therapeutics (NATs), like antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs), from lab research to clinical use.

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Area of Science:

  • Biotechnology
  • Pharmacology
  • Molecular Biology

Background:

  • Nucleic acid therapeutics (NATs) represent a rapidly advancing drug class with increasing clinical trials and market approvals.
  • Antisense oligonucleotides (ASOs) and small interfering RNAs (siRNAs) are key NAT modalities.
  • A significant challenge in NAT development is identifying suitable preclinical models for efficacy assessment.

Purpose of the Study:

  • To review and critically evaluate current preclinical efficacy study approaches for ASOs and siRNAs.
  • To address key questions regarding the selection and application of in vitro and in vivo models for NAT research.
  • To explore future advancements in preclinical modeling for NATs.

Main Methods:

  • Literature review and critical analysis of existing preclinical models for NAT efficacy.
  • Discussion of strategies for target locus manipulation (surrogate vs. humanization) in preclinical studies.
  • Evaluation of the utility of human-derived cells versus surrogate models.

Main Results:

  • Current preclinical models for NATs vary in their ability to predict molecular and phenotypic efficacy.
  • The choice between surrogate and humanized models depends on the specific NAT and research question.
  • Standardized approaches for NAT preclinical testing are still evolving.

Conclusions:

  • Optimizing preclinical model selection is essential for the successful development of ASOs and siRNAs.
  • Further research is needed to refine and validate preclinical models for NATs.
  • Advancements in preclinical modeling will accelerate the translation of NATs to the clinic.