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Engineering and optimization of the miR-106b cluster for ectopic expression of multiplexed anti-HIV RNAs

  • L A Aagaard
  • , J Zhang
  • , K J von Eije
  • , H Li
  • , P Saetrom
  • , M Amarzguioui
  • , J J Rossi*
  • *Corresponding author for this work
  • Beckman Research Institute of City of Hope
  • City of Hope National Medical Center
  • University of Amsterdam
  • Norwegian University of Science and Technology
  • University of Oslo
  • City of Hope National Med Center

Research output: Contribution to journalArticleAcademicpeer-review

101 Citations (Scopus)

Abstract

Many microRNAs (miRNAs) are encoded within the introns of RNA Pol II transcripts, often as polycistronic precursors. Here, we demonstrate the optimization of an intron encoding three endogenous miRNAs for the ectopic expression of heterologous anti-HIV-1 small interfering RNAs (siRNAs) processed from a single RNA polymerase II primary miRNA. Our expression system, designated as MCM7, is engineered from the intron-embedded, tri-cistronic miR-106b cluster that endogenously expresses miR-106b, miR-93 and miR-25. Manipulation of the miR-106b cluster demonstrated a strict requirement for maintenance of the native flanking primary miRNA (pri-miRNA) sequences and key structural features of the native miRNAs for efficient siRNA processing. As a model for testing the efficacy of this approach, we have replaced the three endogenous miRNAs with siRNAs targeting the tat and rev transcripts of human immunodeficiency virus type 1 (HIV-1). This study has enabled us to establish guidelines for optimal processing of the engineered miRNA mimics into functional siRNAs. In addition, we demonstrate that the incorporation of a small nucleolar RNA TAR chimeric decoy (snoRNA) inserted within the MCM7 intron resulted in a substantial enhancement of HIV suppression in long-term acute infectious HIV-1 challenges.

Original languageEnglish
Pages (from-to)1536-49
Number of pages14
JournalGene Therapy
Volume15
Issue number23
DOIs
Publication statusPublished - Dec 2008
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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