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Single-molecule RNA-FISH analysis reveals stochasticity in reactivation of latent HIV-1 regulated by Nuclear Orphan Receptors NR4A and cMYC.
LaPorte, Annalena; Pathak, Rajiv; Eliscovich, Carolina; Martins, Laura; Nell, Rachel; Spivak, Adam; Suzuki, Masako; Planelles, Vicente; Singer, Robert; Kalpana, Ganjam.
Afiliación
  • LaPorte A; Albert Einstein College of Medicine.
  • Pathak R; Albert Einstein College of Medicine.
  • Eliscovich C; Albert Einstein College of Medicine.
  • Martins L; University of Utah School of Medicine.
  • Nell R; University of Utah School of Medicine.
  • Spivak A; University of Utah.
  • Suzuki M; Albert Einstein College of Medicine.
  • Planelles V; University of Utah.
  • Singer R; Albert Einstein College of Medicine.
  • Kalpana G; Albert Einstein College of Medicine.
Res Sq ; 2024 Apr 19.
Article en En | MEDLINE | ID: mdl-38699331
ABSTRACT
HIV-1 eradication strategies require complete reactivation of HIV-1 latent cells by Latency Reversing Agents (LRA). Current methods lack effectiveness due to incomplete proviral reactivation. We employed a single-molecule RNA-FISH (smRNA-FISH) and FISH-Quant analysis and found that proviral reactivation is highly variable from cell-to-cell, stochastic, and occurs in bursts and waves, with different kinetics in response to diverse LRAs. Approximately 1-5% of latent cells exhibited stochastic reactivation without LRAs. Through single-cell RNA-seq analysis, we identified NR4A3 and cMYC as extrinsic factors associated with stochastic HIV-1 reactivation. Concomitant with HIV-1 reactivation cMYC was downregulated and NR4A3 was upregulated in both latent cell lines and primary CD4+ T-cells from aviremic patients. By inhibiting cMYC using SN-38, an active metabolite of irinotecan, we induced NR4A3 and HIV-1 expression. Our results suggest that inherent stochasticity in proviral reactivation contributes to cell-to-cell variability, which could potentially be modulated by drugs targeting cMYC and NR4A3.

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2024 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Res Sq Año: 2024 Tipo del documento: Article
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