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Artificial intelligence reveals nuclear pore complexity

View ORCID ProfileShyamal Mosalaganti, View ORCID ProfileAgnieszka Obarska-Kosinska, View ORCID ProfileMarc Siggel, View ORCID ProfileBeata Turonova, View ORCID ProfileChristian E. Zimmerli, Katarzyna Buczak, Florian H. Schmidt, View ORCID ProfileErica Margiotta, View ORCID ProfileMarie-Therese Mackmull, View ORCID ProfileWim Hagen, View ORCID ProfileGerhard Hummer, View ORCID ProfileMartin Beck, View ORCID ProfileJan Kosinski
doi: https://doi.org/10.1101/2021.10.26.465776
Shyamal Mosalaganti
1Department of Molecular Sociology, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
3Life Sciences Institute, Department of Cell & Developmental Biology, University of Michigan, Ann Arbor, MI 48109, USA
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  • ORCID record for Shyamal Mosalaganti
Agnieszka Obarska-Kosinska
1Department of Molecular Sociology, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
4European Molecular Biology Laboratory Hamburg, Notkestraße 85, 22607, Hamburg, Germany
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Marc Siggel
4European Molecular Biology Laboratory Hamburg, Notkestraße 85, 22607, Hamburg, Germany
5Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
6Centre for Structural Systems Biology (CSSB), Notkestraße 85, 22607, Hamburg, Germany
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Beata Turonova
1Department of Molecular Sociology, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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Christian E. Zimmerli
1Department of Molecular Sociology, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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Katarzyna Buczak
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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Florian H. Schmidt
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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Erica Margiotta
1Department of Molecular Sociology, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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Marie-Therese Mackmull
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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Wim Hagen
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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Gerhard Hummer
5Department of Theoretical Biophysics, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
7Institute of Biophysics, Goethe University Frankfurt, 60438 Frankfurt am Main, Germany
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  • For correspondence: jan.kosinski@embl.de gerhard.hummer@biophys.mpg.de martin.beck@biophys.mpg.de
Martin Beck
1Department of Molecular Sociology, Max Planck Institute of Biophysics, Max-von-Laue-Straße 3, 60438 Frankfurt am Main, Germany
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
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  • For correspondence: jan.kosinski@embl.de gerhard.hummer@biophys.mpg.de martin.beck@biophys.mpg.de
Jan Kosinski
2Structural and Computational Biology Unit, European Molecular Biology Laboratory, Meyerhofstraße 1, 69117, Heidelberg, Germany
4European Molecular Biology Laboratory Hamburg, Notkestraße 85, 22607, Hamburg, Germany
6Centre for Structural Systems Biology (CSSB), Notkestraße 85, 22607, Hamburg, Germany
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  • For correspondence: jan.kosinski@embl.de gerhard.hummer@biophys.mpg.de martin.beck@biophys.mpg.de
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Abstract

Nuclear pore complexes (NPCs) mediate nucleocytoplasmic transport. Their intricate 120 MDa architecture remains incompletely understood. Here, we report a near-complete structural model of the human NPC scaffold with explicit membrane and in multiple conformational states. We combined AI-based structure prediction with in situ and in cellulo cryo-electron tomography and integrative modeling. We show that linker Nups spatially organize the scaffold within and across subcomplexes to establish the higher-order structure. Microsecond-long molecular dynamics simulations suggest that the scaffold is not required to stabilize the inner and outer nuclear membrane fusion, but rather widens the central pore. Our work exemplifies how AI-based modeling can be integrated with in situ structural biology to understand subcellular architecture across spatial organization levels.

One sentence summary An AI-based, dynamic model of the human nuclear pore complex reveals how the protein scaffold and the nuclear envelope are coupled inside cells.

Competing Interest Statement

The authors have declared no competing interest.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted October 27, 2021.
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Artificial intelligence reveals nuclear pore complexity
Shyamal Mosalaganti, Agnieszka Obarska-Kosinska, Marc Siggel, Beata Turonova, Christian E. Zimmerli, Katarzyna Buczak, Florian H. Schmidt, Erica Margiotta, Marie-Therese Mackmull, Wim Hagen, Gerhard Hummer, Martin Beck, Jan Kosinski
bioRxiv 2021.10.26.465776; doi: https://doi.org/10.1101/2021.10.26.465776
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Artificial intelligence reveals nuclear pore complexity
Shyamal Mosalaganti, Agnieszka Obarska-Kosinska, Marc Siggel, Beata Turonova, Christian E. Zimmerli, Katarzyna Buczak, Florian H. Schmidt, Erica Margiotta, Marie-Therese Mackmull, Wim Hagen, Gerhard Hummer, Martin Beck, Jan Kosinski
bioRxiv 2021.10.26.465776; doi: https://doi.org/10.1101/2021.10.26.465776

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