Transcriptional Stochasticity as a Key Aspect of HIV-1 Latency

被引:9
作者
Damour, Alexia [1 ]
Slaninova, Vera [2 ]
Radulescu, Ovidiu [3 ]
Bertrand, Edouard [2 ]
Basyuk, Eugenia [1 ]
机构
[1] Univ Bordeaux, MFP UMR 5234 CNRS, F-33076 Bordeaux, France
[2] Univ Montpellier, IGH UMR 9002 CNRS, F-34094 Montpellier, France
[3] Univ Montpellier, LPHI, UMR 5294 CNRS, F-34095 Montpellier, France
来源
VIRUSES-BASEL | 2023年 / 15卷 / 09期
关键词
HIV-1; latency; transcription; transcriptional noise; transcriptional burst; promoter; transcription factor; chromatin; integration site; modeling; RNA-POLYMERASE-II; CD4(+) T-CELLS; IMMUNODEFICIENCY-VIRUS TYPE-1; CHROMATIN-REMODELING COMPLEX; LONG TERMINAL REPEAT; GENE-EXPRESSION; HISTONE ACETYLTRANSFERASE; VIRAL RESERVOIRS; REAL-TIME; TAT;
D O I
10.3390/v15091969
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
This review summarizes current advances in the role of transcriptional stochasticity in HIV-1 latency, which were possible in a large part due to the development of single-cell approaches. HIV-1 transcription proceeds in bursts of RNA production, which stem from the stochastic switching of the viral promoter between ON and OFF states. This switching is caused by random binding dynamics of transcription factors and nucleosomes to the viral promoter and occurs at several time scales from minutes to hours. Transcriptional bursts are mainly controlled by the core transcription factors TBP, SP1 and NF-kappa b, the chromatin status of the viral promoter and RNA polymerase II pausing. In particular, spontaneous variability in the promoter chromatin creates heterogeneity in the response to activators such as TNF-alpha, which is then amplified by the Tat feedback loop to generate high and low viral transcriptional states. This phenomenon is likely at the basis of the partial and stochastic response of latent T cells from HIV-1 patients to latency-reversing agents, which is a barrier for the development of shock-and-kill strategies of viral eradication. A detailed understanding of the transcriptional stochasticity of HIV-1 and the possibility to precisely model this phenomenon will be important assets to develop more effective therapeutic strategies.
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页数:21
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