Lack of correlation between predicted and actual off-target effects of short-interfering RNAs targeting the human

J E Hanning1, H K Saini, M J Murray

  • 1Department of Pathology, University of Cambridge, Tennis Court Road, Cambridge CB2 1QP, UK.

British Journal of Cancer
|January 10, 2013
PubMed
Abstract

Insights

Computational prediction of off-target effects (OTEs) in short-interfering RNA (siRNA) therapeutics does not accurately reflect actual transcriptional OTEs. This study found no correlation between predicted and observed OTEs, highlighting limitations in current prediction methods.

Area of Science:

  • RNA interference (RNAi) therapeutics
  • Computational biology
  • Molecular diagnostics

Background:

  • Therapeutic short-interfering RNAs (siRNAs) are designed to minimize off-target effects (OTEs).
  • Current prediction methods focus on matches between siRNA seed sequences and messenger RNA (mRNA) 3' UTRs.
  • It is assumed that more predicted OTEs lead to greater actual OTEs and detrimental phenotypic consequences.

Purpose of the Study:

  • To investigate the accuracy of computational prediction of OTEs for therapeutic siRNAs.
  • To evaluate the correlation between predicted and actual OTEs in HPV-negative cells.

Main Methods:

  • Investigated OTEs of siRNAs targeting the human papillomavirus (HPV) type-16 E7 oncogene.
  • Utilized HPV-negative squamous epithelial cells (normal cervix and HaCaT skin cells).
  • Analyzed transcriptional OTEs, including seed-dependent and unpredicted effects.

Main Results:

  • No correlation was observed between computationally predicted OTEs and actual seed-dependent OTEs (P=0.76).
  • Only 20.5% of actual transcriptional OTEs were predicted; unpredicted OTEs involved immune pathways and cancer-associated pathways.
  • Differential gene expression overlap between cell types was minimal (0-5.9%).

Conclusions:

  • Current computational methods for predicting siRNA OTEs are not well-supported by experimental data.
  • Actual OTEs encompass unpredicted effects, including immune responses and downstream pathway alterations.
  • The assumption that predicted OTEs correlate with actual OTEs is not supported by these findings.

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