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Updated: Jul 13, 2026

Assay to Measure Nucleocytoplasmic Transport in Real Time within Motor Neuron-like NSC-34 Cells
Published on: May 16, 2017
Efficiency, selectivity, and robustness of nucleocytoplasmic transport
Anton Zilman1, Stefano Di Talia, Brian T Chait
1Laboratory of Mathematical Physics, The Rockefeller University, New York, New York, USA.
Nuclear pore complexes (NPCs) regulate transport via interactions between transport factors and flexible FG nups. This model explains NPC selectivity and insensitivity to FG nup quantity, aiding artificial device design.
Area of Science:
- Molecular Biology
- Biophysics
- Cell Biology
Background:
- Nuclear pore complexes (NPCs) facilitate selective and high-throughput transport between the nucleus and cytoplasm.
- FG nups (phenylalanine-glycine repeat-containing nucleoporins) line NPCs and possess flexible, unstructured regions crucial for transport.
- Transport involves soluble factors binding to FG nup regions, mediating cargo passage.
Purpose of the Study:
- To model the dynamics of nucleocytoplasmic transport using an effective potential approach.
- To explain the high selectivity and throughput of NPCs based on FG nup interactions.
- To account for the observed insensitivity of transport to variations in FG nup abundance.
Main Methods:
- Developed a physical model of nucleocytoplasmic transport dynamics.
- Modeled transport as diffusion in an effective potential arising from FG nup-transport factor interactions.
- Incorporated principles of molecular binding and competition for NPC binding sites and space.
Main Results:
- Demonstrated how specific binding of transport factors to FG nups facilitates efficient transport.
- Explained NPC selectivity through the interplay of binding affinity and competition for FG nup sites.
- Provided a theoretical basis for transport remaining functional even with significant FG nup mass reduction.
Conclusions:
- The FG nup-mediated transport model accurately reflects NPC function and selectivity.
- Understanding these interactions can inform the design of artificial nanomolecular sorting devices.
- The model offers insights into the adaptability and robustness of the nuclear transport machinery.
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