Visualizing the disordered nuclear transport machinery in situ.
Miao YuMaziar HeidariSofya MikhalevaPiau Siong TanSara MinguHao RuanChristopher D ReinkemeierAgnieszka Obarska-KosińskaMarc SiggelMartin BeckGerhard HummerEdward Anton LemkePublished in: Nature (2023)
The approximately 120 MDa mammalian nuclear pore complex (NPC) acts as a gatekeeper for the transport between the nucleus and cytosol 1 . The central channel of the NPC is filled with hundreds of intrinsically disordered proteins (IDPs) called FG-nucleoporins (FG-NUPs) 2,3 . Although the structure of the NPC scaffold has been resolved in remarkable detail, the actual transport machinery built up by FG-NUPs-about 50 MDa-is depicted as an approximately 60-nm hole in even highly resolved tomograms and/or structures computed with artificial intelligence 4-11 . Here we directly probed conformations of the vital FG-NUP98 inside NPCs in live cells and in permeabilized cells with an intact transport machinery by using a synthetic biology-enabled site-specific small-molecule labelling approach paired with highly time-resolved fluorescence microscopy. Single permeabilized cell measurements of the distance distribution of FG-NUP98 segments combined with coarse-grained molecular simulations of the NPC allowed us to map the uncharted molecular environment inside the nanosized transport channel. We determined that the channel provides-in the terminology of the Flory polymer theory 12 -a 'good solvent' environment. This enables the FG domain to adopt expanded conformations and thus control transport between the nucleus and cytoplasm. With more than 30% of the proteome being formed from IDPs, our study opens a window into resolving disorder-function relationships of IDPs in situ, which are important in various processes, such as cellular signalling, phase separation, ageing and viral entry.
Keyphrases
- artificial intelligence
- cell cycle arrest
- small molecule
- induced apoptosis
- molecular dynamics
- single molecule
- cell death
- machine learning
- deep learning
- high resolution
- molecular dynamics simulations
- cell therapy
- stem cells
- big data
- oxidative stress
- bone marrow
- endoplasmic reticulum stress
- magnetic resonance imaging
- high speed
- cell proliferation
- diffusion weighted imaging