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Konishi CT, Mulaiese N, Butola T, Zhang Q, Kagan D, Yang Q, Pressler M, Dirvin BG, Devinsky O, Basu J, Long C. Modeling and correction of protein conformational disease in iPSC-derived neurons through personalized base editing. MOLECULAR THERAPY. NUCLEIC ACIDS 2025; 36:102441. [PMID: 39877004 PMCID: PMC11773622 DOI: 10.1016/j.omtn.2024.102441] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/22/2024] [Accepted: 12/19/2024] [Indexed: 01/31/2025]
Abstract
Altered protein conformation can cause incurable neurodegenerative disorders. Mutations in SERPINI1, the gene encoding neuroserpin, can alter protein conformation resulting in cytotoxic aggregation leading to neuronal death. Familial encephalopathy with neuroserpin inclusion bodies (FENIB) is a rare autosomal dominant progressive myoclonic epilepsy that progresses to dementia and premature death. We developed HEK293T and induced pluripotent stem cell (iPSC) models of FENIB, harboring a patient-specific pathogenic SERPINI1 variant or stably overexpressing mutant neuroserpin fused to GFP (MUT NS-GFP). Here, we utilized a personalized adenine base editor (ABE)-mediated approach to correct the pathogenic variant efficiently and precisely to restore neuronal dendritic morphology. ABE-treated MUT NS-GFP cells demonstrated reduced inclusion size and number. Using an inducible MUT NS-GFP neuron system, we identified early prevention of toxic protein expression allowed aggregate clearance, while late prevention halted further aggregation. To address several challenges for clinical applications of gene correction, we developed a neuron-specific engineered virus-like particle to optimize neuronal ABE delivery, resulting in higher correction efficiency. Our findings provide a targeted strategy that may treat FENIB and potentially other neurodegenerative diseases due to altered protein conformation such as Alzheimer's and Huntington's diseases.
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Affiliation(s)
- Colin T. Konishi
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Nancy Mulaiese
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Tanvi Butola
- Department of Neuroscience and Physiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Qinkun Zhang
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Dana Kagan
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Qiaoyan Yang
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Mariel Pressler
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Department of Neurology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Brooke G. Dirvin
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Orrin Devinsky
- Department of Neurology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Jayeeta Basu
- Department of Neuroscience and Physiology, NYU Grossman School of Medicine, New York, NY 100016, USA
| | - Chengzu Long
- NYU Cardiovascular Research Center, NYU Grossman School of Medicine, New York, NY 100016, USA
- Leon H. Charney Division of Cardiology, NYU Grossman School of Medicine, New York, NY 100016, USA
- Department of Neuroscience and Physiology, NYU Grossman School of Medicine, New York, NY 100016, USA
- Department of Neurology, NYU Grossman School of Medicine, New York, NY 100016, USA
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Konishi CT, Mulaiese N, Butola T, Zhang Q, Kagan D, Yang Q, Pressler M, Dirvin BG, Devinsky O, Basu J, Long C. Modeling and Correction of Protein Conformational Disease in iPSC-derived Neurons through Personalized Base Editing. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.17.576134. [PMID: 38293034 PMCID: PMC10827171 DOI: 10.1101/2024.01.17.576134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/01/2024]
Abstract
Altered protein conformation can cause incurable neurodegenerative disorders. Mutations in SERPINI1 , the gene encoding neuroserpin, can alter protein conformation resulting in cytotoxic aggregation leading to neuronal death. Familial encephalopathy with neuroserpin inclusion bodies (FENIB) is a rare autosomal dominant progressive myoclonic epilepsy that progresses to dementia and premature death. We developed HEK293T and induced pluripotent stem cell (iPSC) models of FENIB, harboring a patient-specific pathogenic SERPINI1 variant or stably overexpressing mutant neuroserpin fused to GFP (MUT NS-GFP). Here, we utilized a personalized adenine base editor (ABE)-mediated approach to correct the pathogenic variant efficiently and precisely to restore neuronal dendritic morphology. ABE-treated MUT NS-GFP cells demonstrated reduced inclusion size and number. Using an inducible MUT NS-GFP neuron system, we identified early prevention of toxic protein expression allowed aggregate clearance, while late prevention halted further aggregation. To address several challenges for clinical applications of gene correction, we developed a neuron-specific engineered virus-like particle to optimize neuronal ABE delivery, resulting in higher correction efficiency. Our findings provide a targeted strategy which may treat FENIB and potentially other neurodegenerative diseases due to altered protein conformation such as Alzheimer's and Huntington's diseases.
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D'Acunto E, Fra A, Visentin C, Manno M, Ricagno S, Galliciotti G, Miranda E. Neuroserpin: structure, function, physiology and pathology. Cell Mol Life Sci 2021; 78:6409-6430. [PMID: 34405255 PMCID: PMC8558161 DOI: 10.1007/s00018-021-03907-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2021] [Revised: 07/23/2021] [Accepted: 07/27/2021] [Indexed: 12/24/2022]
Abstract
Neuroserpin is a serine protease inhibitor identified in a search for proteins implicated in neuronal axon growth and synapse formation. Since its discovery over 30 years ago, it has been the focus of active research. Many efforts have concentrated in elucidating its neuroprotective role in brain ischemic lesions, the structural bases of neuroserpin conformational change and the effects of neuroserpin polymers that underlie the neurodegenerative disease FENIB (familial encephalopathy with neuroserpin inclusion bodies), but the investigation of the physiological roles of neuroserpin has increased over the last years. In this review, we present an updated and critical revision of the current literature dealing with neuroserpin, covering all aspects of research including the expression and physiological roles of neuroserpin, both inside and outside the nervous system; its inhibitory and non-inhibitory mechanisms of action; the molecular structure of the monomeric and polymeric conformations of neuroserpin, including a detailed description of the polymerisation mechanism; and the involvement of neuroserpin in human disease, with particular emphasis on FENIB. Finally, we briefly discuss the identification by genome-wide screening of novel neuroserpin variants and their possible pathogenicity.
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Affiliation(s)
- Emanuela D'Acunto
- Department of Biology and Biotechnologies 'Charles Darwin', Sapienza University of Rome, Rome, Italy
| | - Annamaria Fra
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
| | - Cristina Visentin
- Department of Biosciences, University of Milan, Milan, Italy
- Institute of Molecular and Translational Cardiology, I.R.C.C.S. Policlinico San Donato, Milan, Italy
| | - Mauro Manno
- Institute of Biophysics, National Research Council of Italy, Palermo, Italy
| | - Stefano Ricagno
- Department of Biosciences, University of Milan, Milan, Italy
| | - Giovanna Galliciotti
- Institute of Neuropathology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Elena Miranda
- Department of Biology and Biotechnologies 'Charles Darwin', Sapienza University of Rome, Rome, Italy.
- Pasteur Institute-Cenci Bolognetti Foundation, Sapienza University of Rome, Rome, Italy.
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Giampietro C, Lionetti MC, Costantini G, Mutti F, Zapperi S, La Porta CAM. Cholesterol impairment contributes to neuroserpin aggregation. Sci Rep 2017; 7:43669. [PMID: 28255164 PMCID: PMC5334643 DOI: 10.1038/srep43669] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2016] [Accepted: 01/27/2017] [Indexed: 01/05/2023] Open
Abstract
Intraneural accumulation of misfolded proteins is a common feature of several neurodegenerative pathologies including Alzheimer's and Parkinson's diseases, and Familial Encephalopathy with Neuroserpin Inclusion Bodies (FENIB). FENIB is a rare disease due to a point mutation in neuroserpin which accelerates protein aggregation in the endoplasmic reticulum (ER). Here we show that cholesterol depletion induced either by prolonged exposure to statins or by inhibiting the sterol reg-ulatory binding-element protein (SREBP) pathway also enhances aggregation of neuroserpin proteins. These findings can be explained considering a computational model of protein aggregation under non-equilibrium conditions, where a decrease in the rate of protein clearance improves aggregation. Decreasing cholesterol in cell membranes affects their biophysical properties, including their ability to form the vesicles needed for protein clearance, as we illustrate by a simple mathematical model. Taken together, these results suggest that cholesterol reduction induces neuroserpin aggregation, even in absence of specific neuroserpin mutations. The new mechanism we uncover could be relevant also for other neurodegenerative diseases associated with protein aggregation.
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Affiliation(s)
| | - Maria Chiara Lionetti
- Center for Complexity and Biosystems, Department of Biosciences, University of Milano, via Celoria 26, 20133 Milano, Italy
| | - Giulio Costantini
- Center for Complexity and Biosystems, Department of Physics, University of Milano, via Celoria 16, 20133 Milano, Italy
| | - Federico Mutti
- Center for Complexity and Biosystems, Department of Biosciences, University of Milano, via Celoria 26, 20133 Milano, Italy
| | - Stefano Zapperi
- Center for Complexity and Biosystems, Department of Physics, University of Milano, via Celoria 16, 20133 Milano, Italy
- CNR - Consiglio Nazionale delle Ricerche, Istituto di Chimica della Materia Condensata e di Tecnologie per l’Energia, Via R. Cozzi 53, 20125 Milano, Italy
- ISI Foundation, Via Alassio 11C, Torino, Italy
- Department of Applied Physics, Aalto University, P.O. Box 14100, FIN-00076, Aalto, Finland
| | - Caterina A. M. La Porta
- Center for Complexity and Biosystems, Department of Biosciences, University of Milano, via Celoria 26, 20133 Milano, Italy
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Nanoscale diffusion in the synaptic cleft and beyond measured with time-resolved fluorescence anisotropy imaging. Sci Rep 2017; 7:42022. [PMID: 28181535 PMCID: PMC5299514 DOI: 10.1038/srep42022] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2016] [Accepted: 01/05/2017] [Indexed: 12/11/2022] Open
Abstract
Neural activity relies on molecular diffusion within nanoscopic spaces outside and inside nerve cells, such as synaptic clefts or dendritic spines. Measuring diffusion on this small scale in situ has not hitherto been possible, yet this knowledge is critical for understanding the dynamics of molecular events and electric currents that shape physiological signals throughout the brain. Here we advance time-resolved fluorescence anisotropy imaging combined with two-photon excitation microscopy to map nanoscale diffusivity in ex vivo brain slices. We find that in the brain interstitial gaps small molecules move on average ~30% slower than in a free medium whereas inside neuronal dendrites this retardation is ~70%. In the synaptic cleft free nanodiffusion is decelerated by ~46%. These quantities provide previously unattainable basic constrains for the receptor actions of released neurotransmitters, the electrical conductance of the brain interstitial space and the limiting rate of molecular interactions or conformational changes in the synaptic microenvironment.
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Woodard JC, Dunatunga S, Shakhnovich EI. A Simple Model of Protein Domain Swapping in Crowded Cellular Environments. Biophys J 2016; 110:2367-2376. [PMID: 27276255 DOI: 10.1016/j.bpj.2016.04.033] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2016] [Revised: 04/07/2016] [Accepted: 04/20/2016] [Indexed: 11/25/2022] Open
Abstract
Domain swapping in proteins is an important mechanism of functional and structural innovation. However, despite its ubiquity and importance, the physical mechanisms that lead to domain swapping are poorly understood. Here, we present a simple two-dimensional coarse-grained model of protein domain swapping in the cytoplasm. In our model, two-domain proteins partially unfold and diffuse in continuous space. Monte Carlo multiprotein simulations of the model reveal that domain swapping occurs at intermediate temperatures, whereas folded dimers and folded monomers prevail at low temperatures, and partially unfolded monomers predominate at high temperatures. We use a simplified amino acid alphabet consisting of four residue types, and find that the oligomeric state at a given temperature depends on the sequence of the protein. We also show that hinge strain between domains can promote domain swapping, consistent with experimental observations for real proteins. Domain swapping depends nonmonotonically on the protein concentration, with domain-swapped dimers occurring at intermediate concentrations and nonspecific interactions between partially unfolded proteins occurring at high concentrations. For folded proteins, we recover the result obtained in three-dimensional lattice simulations, i.e., that functional dimerization is most prevalent at intermediate temperatures and nonspecific interactions increase at low temperatures.
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Affiliation(s)
- Jaie C Woodard
- Graduate Program in Biophysics, Harvard University, Cambridge, Massachusetts; Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts
| | - Sachith Dunatunga
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts
| | - Eugene I Shakhnovich
- Department of Chemistry and Chemical Biology, Harvard University, Cambridge, Massachusetts.
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Rao R, Lacoste D, Esposito M. Glucans monomer-exchange dynamics as an open chemical network. J Chem Phys 2015; 143:244903. [DOI: 10.1063/1.4938009] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Affiliation(s)
- Riccardo Rao
- Complex Systems and Statistical Mechanics, Physics and Materials Science Research Unit, University of Luxembourg, L-1511 Luxembourg, Luxembourg
| | - David Lacoste
- Laboratoire de Physico-Chimie Théorique, UMR CNRS Gulliver 7083, ESPCI - 10 rue Vauquelin, F-75231 Paris, France
| | - Massimiliano Esposito
- Complex Systems and Statistical Mechanics, Physics and Materials Science Research Unit, University of Luxembourg, L-1511 Luxembourg, Luxembourg
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Wallace R. Metabolic Free Energy and Biological Codes: A ‘Data Rate Theorem’ Aging Model. Bull Math Biol 2014; 77:879-903. [DOI: 10.1007/s11538-014-0013-0] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2014] [Accepted: 08/14/2014] [Indexed: 02/04/2023]
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