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Kumwimba, D.

Publications and source records attributed to Kumwimba, D..

2 recordsLinked to original sources

How p53 stress memory could redirect JAK/STAT1 antiviral signalling: a model-based prediction.

Viral infection can co-activate interferon (IFN)-JAK/STAT1 signalling and the p53 -Mdm2 stress-response pathway, two modules that jointly shape antiviral defence and cell-fate decisions. Here, we focus on viral infection contexts capable of inducing genotoxic stress associated with DNA double-strand breaks, thereby triggering oscillatory or sustained p53-Mdm2 dynamics. Whether p53 acts merely as a parallel stress pathway, or actively reshapes how an activated JAK/STAT1 response is temporally decoded and functionally routed, remains unclear. We develop a coupled ordinary-differential-equation model linking an IFN-{gamma}-centred JAK/STAT1 core, a p53 -Mdm2 module, downstream antiviral and apoptotic effectors, and a coarse-grained viral-burden layer, with p53 regulation placed downstream of STAT1 activation. We find that p53 does not simply increase nuclear STAT1 availability; it redistributes the response towards DNA-bound STAT1 persistence, transcriptional memory and STAT1-driven feedback, producing a persistence-recovery trade-off in which prior p53 stress prolongs the transcriptionally active STAT1 state but delays re-inducibility after repeated IFN stimulation. When IFN and p53-associated stress are both driven by viral burden, p53 is not a uniform amplifier of host defence: p53 preactivation strengthens the upstream memory layer, but downstream effectors buffer rather than mirror this priming. The model further separates antiviral-state engagement from realised viral control: strong effector activation does not guarantee suppression of poorly sensitive viral classes, whereas sensitive viral classes can be cleared before apoptosis. The origin of the stimulus also matters: exogenous IFN or p53 stimulation allows us to assess the hosts intrinsic response capacity, whereas virus-induced IFN and p53 stress remain coupled to viral persistence. Persistent viral burden thus emerges as the dynamical link between IFN induction, p53 stress-memory, antiviral maintenance, viral control and the choice between JAK/STAT-IRF1-associated, p53-autonomous or dual apoptotic routing.

systems biology↗

STAT1 -- p53 Dynamics Program Cell Fate through p21 and PUMA

Signalling pathways tightly regulate stress-induced cell fate decisions, with p53 stabilization via attenuation of the p53-Mdm2 feedback being central to effective responses. Signal Transducer and Activator of Transcription 1 (STAT1) both represses Mdm2 transcription and co-activates p53 targets (p21 and PUMA), yet these dual roles have not been quantified within a unified framework. We build a mechanistic model that couples a biologically calibrated stress scale (S) and STAT1 activity ({Sigma}) to the canonical p53-Mdm2 core and to downstream p21 and PUMA modules. Key processes are not described by fixed parameters but by explicit functions of S, allowing the model to self-adjust across stress levels without manual re-fitting. This formulation ensures that oscillatory, damped, or plateau responses naturally emerge by varying S alone. STAT1 acts as a dynamical gain on the core (controlling mean level, pulse amplitude, and duration) and as a transcriptional co-activator scaling promoter strengths. Bifurcation analysis reveals a two-dimensional Hopf region in the (S, {Sigma}) plane; increasing {Sigma} shifts this region to higher S and progressively narrows it, ultimately quenching oscillations at large {Sigma} . Simulations of a generic cell with time-varying S and {Sigma}, combined with a two-stage decision rule (early transient detection followed by stationary readout), map p53 dynamics to fate: sustained moderate oscillations align with arrest, damped intermediate responses with senescence, and strongly damped high plateaus with apoptosis. The model reproduces cell fate distributions reported in literature for different cell lines (MCF-7, HCT116, U2OS) without kinetic parameter re-fitting, and highlights cell-type-specific sensitivity to p21 versus PUMA. Our framework identifies STAT1 as a tunable amplifier and oscillation quencher of the stress-responsive p53 network, providing testable dynamics-based predictions for fate control.

systems biology↗