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Liao Y, Andronov L, Liu X, Lin J, Guerber L, Lu L, Agote-Arán A, Pangou E, Ran L, Kleiss C, Qu M, Schmucker S, Cirillo L, Zhang Z, Riveline D, Gotta M, Klaholz BP, Sumara I. UBAP2L ensures homeostasis of nuclear pore complexes at the intact nuclear envelope. J Cell Biol 2024; 223:e202310006. [PMID: 38652117 PMCID: PMC11040503 DOI: 10.1083/jcb.202310006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Revised: 02/15/2024] [Accepted: 03/12/2024] [Indexed: 04/25/2024] Open
Abstract
Assembly of macromolecular complexes at correct cellular sites is crucial for cell function. Nuclear pore complexes (NPCs) are large cylindrical assemblies with eightfold rotational symmetry, built through hierarchical binding of nucleoporins (Nups) forming distinct subcomplexes. Here, we uncover a role of ubiquitin-associated protein 2-like (UBAP2L) in the assembly and stability of properly organized and functional NPCs at the intact nuclear envelope (NE) in human cells. UBAP2L localizes to the nuclear pores and facilitates the formation of the Y-complex, an essential scaffold component of the NPC, and its localization to the NE. UBAP2L promotes the interaction of the Y-complex with POM121 and Nup153, the critical upstream factors in a well-defined sequential order of Nups assembly onto NE during interphase. Timely localization of the cytoplasmic Nup transport factor fragile X-related protein 1 (FXR1) to the NE and its interaction with the Y-complex are likewise dependent on UBAP2L. Thus, this NPC biogenesis mechanism integrates the cytoplasmic and the nuclear NPC assembly signals and ensures efficient nuclear transport, adaptation to nutrient stress, and cellular proliferative capacity, highlighting the importance of NPC homeostasis at the intact NE.
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Affiliation(s)
- Yongrong Liao
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Leonid Andronov
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Department of Integrated Structural Biology, Centre for Integrative Biology, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
| | - Xiaotian Liu
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Junyan Lin
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Lucile Guerber
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Linjie Lu
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Arantxa Agote-Arán
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Evanthia Pangou
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Li Ran
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Charlotte Kleiss
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Mengdi Qu
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Stephane Schmucker
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Luca Cirillo
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- iGE3 Institute of Genetics and Genomics of Geneva, Geneva, Switzerland
| | - Zhirong Zhang
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Daniel Riveline
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
| | - Monica Gotta
- Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland
- iGE3 Institute of Genetics and Genomics of Geneva, Geneva, Switzerland
| | - Bruno P. Klaholz
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
- Department of Integrated Structural Biology, Centre for Integrative Biology, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
| | - Izabela Sumara
- Department of Development and Stem Cells, Institute of Genetics and Molecular and Cellular Biology, Illkirch, France
- Centre National de la Recherche Scientifique UMR 7104, Strasbourg, France
- Institut National de la Santé et de la Recherche Médicale U964, Strasbourg, France
- Université de Strasbourg, Strasbourg, France
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Maizón HB, Barrantes FJ. A deep learning-based approach to model anomalous diffusion of membrane proteins: the case of the nicotinic acetylcholine receptor. Brief Bioinform 2021; 23:6409696. [PMID: 34695840 DOI: 10.1093/bib/bbab435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 08/17/2021] [Accepted: 09/18/2021] [Indexed: 12/18/2022] Open
Abstract
We present a concatenated deep-learning multiple neural network system for the analysis of single-molecule trajectories. We apply this machine learning-based analysis to characterize the translational diffusion of the nicotinic acetylcholine receptor at the plasma membrane, experimentally interrogated using superresolution optical microscopy. The receptor protein displays a heterogeneous diffusion behavior that goes beyond the ensemble level, with individual trajectories exhibiting more than one diffusive state, requiring the optimization of the neural networks through a hyperparameter analysis for different numbers of steps and durations, especially for short trajectories (<50 steps) where the accuracy of the models is most sensitive to localization errors. We next use the statistical models to test for Brownian, continuous-time random walk and fractional Brownian motion, and introduce and implement an additional, two-state model combining Brownian walks and obstructed diffusion mechanisms, enabling us to partition the two-state trajectories into segments, each of which is independently subjected to multiple analysis. The concatenated multi-network system evaluates and selects those physical models that most accurately describe the receptor's translational diffusion. We show that the two-state Brownian-obstructed diffusion model can account for the experimentally observed anomalous diffusion (mostly subdiffusive) of the population and the heterogeneous single-molecule behavior, accurately describing the majority (72.5 to 88.7% for α-bungarotoxin-labeled receptor and between 73.5 and 90.3% for antibody-labeled molecules) of the experimentally observed trajectories, with only ~15% of the trajectories fitting to the fractional Brownian motion model.
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Affiliation(s)
- Héctor Buena Maizón
- Laboratory of Molecular Neurobiology, Biomedical Research institute (BIOMED), UCA-CONICET, Av. Alicia Moreau de Justo 1600, C1107AFF Buenos Aires, Argentina
| | - Francisco J Barrantes
- Laboratory of Molecular Neurobiology, Biomedical Research institute (BIOMED), UCA-CONICET, Av. Alicia Moreau de Justo 1600, C1107AFF Buenos Aires, Argentina
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