Table 2 Models addressing the viral protein Tat-circuit architecture
From: Mathematical modeling and mechanisms of HIV latency for personalized anti latency therapies
Study | Aims | Data | Results | |
---|---|---|---|---|
Tat feedback-loop & Proviral Fate | L. Weinberger et al.20 | Understand the factors and mechanisms regulating HIV developmental fate. | GFP expression sampled from Jurkat T-cells, infected with a single LTR-GFP-IRES-Tat (LGIT) HIV model vector. | (i) Proviral developmental fate (active replication vs latency) is regulated by Tat. (ii) Proviruses showing a relatively high basal gene-expression rate (high Tat), experience active replication; (iii) Provirus clones showing relatively low basal gene-expression rate (low Tat) face a stochastic decision between high and negligible activity (PheB); |
B. S. Razooky et al.18 | Understand the relationship between proviral fate (active vs latent) and host-cell state (active vs resting) | GFP expression sampled from Jurkat and CEM T-cells infected with HIV-d2GFP virus env-mutated (avoid expansion). | (i) The LTR is intrinsically capable of generating bimodal ON/OFF expression, even in the absence of Tat; (ii) Tat slows LTR toggling, shifting, and expanding the regime of LTR bimodality ultimately characterizing a stabler active replication regime; | |
L. Weinberger et al.25 | Understand the mechanisms by which Tat-positive feedback is counteracted, allowing the existence of a stable transcriptionally-off state (latency). | GFP expression sampled from Jurkat cells, infected with LTR-GFP and LTR-GFP-IRES-Tat (LGIT) HIV model vector. | (i) The Tat-feedback circuit lacks bi-stability and self-cooperativity; however, it exhibits pulsatile activity patterns triggered by stochastic basal activity; (ii) An enzymatic Tat-resistor reduces the Tat-amplification susceptibility to transcriptional noise, explaining the HIV off (latent) state and the pulsatile HIV gene-expression activity. | |
K. H. Aull et al.58 | Understand the mechanisms by which the Tat-positive feedback is counteracted, allowing the existence of a stable transcriptionally-off state (latency). | flow cytometry and single-cell imaging | (i) The Tat-feedback circuit exhibits a transient threshold lasting ~40 h before disappearing (ii) whose lifetime is shortened by promoter activation; | |
L. Weinberger et al.26 | Understand how Tat-feedback strength modulates the pulsatile HIV gene-expression dynamics. | GFP expression sampled from TNF-α-stimulated76,77 (10 ng/ml) Jurkat T-cells (J-Lat full-length clone 10.6 74) infected with a single LTR-GFP or LTR-GFP-IRES-Tat (LGIT) HIV model vector. | (i) Tat positive-feedback extends viral gene-expression lifetime 2-6 fold. (ii) weak Tat-amplifications provide a shortened gene-expression pulse, favoring the latent phenotype. | |
B. S. Razooky et. al. 17 | Understand the relationship between proviral fate (active vs latent) and host-cell state (active vs resting) | GFP expression sampled from activated (CD25+ CD69+) and resting (CD25− CD69-) Jurkat and CEM T-cells infected with HIV-d2GFP virus env-mutated (avoid expansion). | (i) HIV gene-expression persists in acutely-infected cells after transitioning to their resting state (ii) Tat circuit is autonomous and regulates proviral fate (iii) Host factors stochastically ignite Tat amplification. |