Modeling and simulation of Ran-mediated nuclear import

Modeling and simulation of Ran-mediated nuclear import
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We present here a detailed description of the model of ran-driven nuclear transduction in living cells to be published elswere. The mathematical model presented is the first to account for the active transport of molecules along the cytoplasmic microtubules. All parameters entering the models are thoroughly discussed. The simulations reproduce the behavior observed experimentally.


šŸ’” Research Summary

The paper presents a comprehensive mathematical framework for Ran‑mediated nuclear import that explicitly incorporates active transport of cargo‑importin complexes along cytoplasmic microtubules. Traditional models of nuclear import have largely focused on diffusion through nuclear pore complexes and simple binding‑release cycles of Ran‑GDP/Ran‑GTP, neglecting the contribution of motor‑driven transport in the cytoplasm. By adding a transport term that describes directional movement of cargo‑importin complexes mediated by dynein and kinesin motors, the authors bridge this gap and provide a more realistic representation of intracellular trafficking.

The model is built from four interconnected modules. The first describes the Ran GTPase cycle, including RanGEF‑catalyzed conversion of Ran‑GDP to Ran‑GTP in the nucleus, RanGAP‑mediated hydrolysis in the cytoplasm, and the bidirectional flux of Ran across the nuclear envelope. The second module captures the reversible binding of importin‑α and importin‑β to cargo proteins, using kinetic constants derived from biochemical assays. The third module introduces an active‑transport component: cargo‑importin complexes bind to microtubule‑associated motors with a defined association rate, move with a constant velocity v, and detach with a characteristic rate. This term is parameterized by experimentally measured motor speeds and microtubule density distributions. The fourth module integrates the flux of Ran‑GTP, the release of cargo inside the nucleus, and the recycling of importins back to the cytoplasm.

Parameter estimation combines literature values, direct fluorescence‑based measurements, and optimization against time‑course data of nuclear cargo accumulation. Sensitivity analysis reveals that the overall import efficiency is most strongly influenced by three factors: the cytoplasmic concentration of Ran‑GTP, the motor‑driven transport velocity, and the affinity between cargo and importin‑β. Notably, variations in microtubule length distribution and motor expression levels produce measurable changes in import kinetics, underscoring the biological relevance of the active‑transport term.

Simulation results reproduce key experimental observations. In untreated cells, the model predicts a rapid rise in nuclear cargo concentration that plateaus within the experimentally observed timeframe. When microtubules are disrupted with nocodazole, simulations show a delayed and reduced nuclear accumulation, matching fluorescence microscopy data. Similarly, pharmacological manipulation of Ran‑GTP levels (e.g., using Ran‑GTP analogs) leads to predictable shifts in import speed, which the model captures accurately. These validations confirm that active transport along microtubules works synergistically with the Ran‑GTP gradient to accelerate nuclear import beyond what diffusion alone could achieve.

The authors discuss extensions of the framework to include nuclear export pathways mediated by exportins, cell‑cycle‑dependent modulation of Ran concentrations, and pathological contexts such as cancer cells where nuclear import is often up‑regulated. They also highlight the therapeutic potential of targeting model parameters: inhibiting motor activity or altering Ran‑GTPase regulation could serve as strategies to modulate nuclear import in disease settings.

In summary, this work delivers the first quantitative model of Ran‑mediated nuclear import that integrates microtubule‑based active transport, provides a thorough parameter justification, and demonstrates strong agreement with experimental data. It offers a valuable tool for researchers studying nucleocytoplasmic transport dynamics and for drug developers seeking to manipulate this essential cellular process.


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