Repression of HIV-1 reactivation mediated by CRISPR/dCas9-KRAB in lymphoid and myeloid cell models

Lendel Correia da Costa1, Larissa Maciel Bomfim1, Uilla Victoria Torres Dittz1

  • 1Departamento de Genética, Laboratório de Virologia Molecular, Instituto de Biologia, Universidade Federal do Rio de Janeiro (UFRJ), Av Carlos Chagas Filho 373, CCS, Bloco A, Sala 121, Ilha do Fundão, Rio de Janeiro, RJ, 21941-902, Brazil.

Retrovirology
|June 22, 2022
PubMed
Abstract

Insights

CRISPR/dCas9-KRAB technology effectively blocks HIV-1 reactivation from latent reservoirs in T cells and myeloid cells. This "Block and Lock" strategy shows promise for a functional HIV cure by repressing viral gene expression.

Area of Science:

  • Molecular Biology
  • Gene Editing
  • Virology

Background:

  • Antiretroviral therapy (ART) controls HIV but does not eradicate it.
  • Latent HIV reservoirs pose a significant barrier to complete cure.
  • Two strategies, "shock and kill" and "block and lock," target viral latency.

Purpose of the Study:

  • To investigate the "Block and Lock" strategy using CRISPR/dCas9-KRAB to inhibit HIV-1 reactivation.
  • To evaluate the efficacy of CRISPR/dCas9-KRAB in latently infected T cells and myeloid cells.

Main Methods:

  • Utilized the CRISPR/dCas9-KRAB platform to target the HIV-1 proviral genome.
  • Designed five single-guide RNAs (sgRNAs) targeting HIV-1 LTR regions.
  • Transduced sgRNAs into latently infected lymphoid (J-Lat 10.6) and myeloid (U1) cell lines.

Main Results:

  • One sgRNA (LTR5) targeting the HIV-1 LTR NFκB binding site robustly repressed reactivation.
  • Inhibition of reactivation was observed with PMA, IngB, SAHA, and Panobinostat.
  • HIV-1 RNA expression was reduced a hundredfold in U1 cells treated with IngB.

Conclusions:

  • The CRISPR/dCas9-KRAB system effectively prevents HIV-1 latency reactivation in both T cells and myeloid cells.
  • The KRAB repressor protein is essential for the observed reactivation resistance.
  • Identified key HIV-1 LTR sequences for designing effective sgRNAs.

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