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      GTF2I dosage regulates neuronal differentiation and social behavior in 7q11.23 neurodevelopmental disorders

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          Abstract

          Copy number variations at 7q11.23 cause neurodevelopmental disorders with shared and opposite manifestations. Deletion causes Williams-Beuren syndrome featuring hypersociability, while duplication causes 7q11.23 microduplication syndrome (7Dup), frequently exhibiting autism spectrum disorder (ASD). Converging evidence indicates GTF2I as key mediator of the cognitive-behavioral phenotypes, yet its role in cortical development and behavioral hallmarks remains largely unknown. We integrated proteomic and transcriptomic profiling of patient-derived cortical organoids, including longitudinally at single-cell resolution, to dissect 7q11.23 dosage–dependent and GTF2I-specific disease mechanisms. We observed dosage-dependent impaired dynamics of neural progenitor proliferation, transcriptional imbalances, and highly specific alterations in neuronal output, leading to precocious excitatory neuron production in 7Dup, which was rescued by restoring physiological GTF2I levels. Transgenic mice with Gtf2i duplication recapitulated progenitor proliferation and neuronal differentiation defects alongside ASD-like behaviors. Consistently, inhibition of lysine demethylase 1 (LSD1), a GTF2I effector, was sufficient to rescue ASD-like phenotypes in transgenic mice, establishing GTF2I-LSD1 axis as a molecular pathway amenable to therapeutic intervention in ASD.

          Abstract

          Omics dissection of cortical development in 7q11.23 reveals defects in neuronal maturation and social behavior linked to GTF2I.

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          Most cited references90

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          Cytoscape: a software environment for integrated models of biomolecular interaction networks.

          Cytoscape is an open source software project for integrating biomolecular interaction networks with high-throughput expression data and other molecular states into a unified conceptual framework. Although applicable to any system of molecular components and interactions, Cytoscape is most powerful when used in conjunction with large databases of protein-protein, protein-DNA, and genetic interactions that are increasingly available for humans and model organisms. Cytoscape's software Core provides basic functionality to layout and query the network; to visually integrate the network with expression profiles, phenotypes, and other molecular states; and to link the network to databases of functional annotations. The Core is extensible through a straightforward plug-in architecture, allowing rapid development of additional computational analyses and features. Several case studies of Cytoscape plug-ins are surveyed, including a search for interaction pathways correlating with changes in gene expression, a study of protein complexes involved in cellular recovery to DNA damage, inference of a combined physical/functional interaction network for Halobacterium, and an interface to detailed stochastic/kinetic gene regulatory models.
            Bookmark
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            The Perseus computational platform for comprehensive analysis of (prote)omics data.

            A main bottleneck in proteomics is the downstream biological analysis of highly multivariate quantitative protein abundance data generated using mass-spectrometry-based analysis. We developed the Perseus software platform (http://www.perseus-framework.org) to support biological and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data analysis covering normalization, pattern recognition, time-series analysis, cross-omics comparisons and multiple-hypothesis testing. A machine learning module supports the classification and validation of patient groups for diagnosis and prognosis, and it also detects predictive protein signatures. Central to Perseus is a user-friendly, interactive workflow environment that provides complete documentation of computational methods used in a publication. All activities in Perseus are realized as plugins, and users can extend the software by programming their own, which can be shared through a plugin store. We anticipate that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary analysis of complex large data sets.
              Bookmark
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              SCANPY : large-scale single-cell gene expression data analysis

              Scanpy is a scalable toolkit for analyzing single-cell gene expression data. It includes methods for preprocessing, visualization, clustering, pseudotime and trajectory inference, differential expression testing, and simulation of gene regulatory networks. Its Python-based implementation efficiently deals with data sets of more than one million cells (https://github.com/theislab/Scanpy). Along with Scanpy, we present AnnData, a generic class for handling annotated data matrices (https://github.com/theislab/anndata).
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: Project administrationRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing - original draftRole: Writing - review & editing
                Role: Formal analysisRole: SoftwareRole: VisualizationRole: Writing - original draft
                Role: ConceptualizationRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing - review & editing
                Role: ConceptualizationRole: InvestigationRole: Methodology
                Role: InvestigationRole: Writing - review & editing
                Role: Investigation
                Role: Investigation
                Role: ConceptualizationRole: InvestigationRole: ValidationRole: Writing - review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: Validation
                Role: ResourcesRole: Writing - review & editing
                Role: Formal analysisRole: MethodologyRole: ResourcesRole: Visualization
                Role: InvestigationRole: Methodology
                Role: ConceptualizationRole: MethodologyRole: Resources
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: Writing - review & editing
                Role: ConceptualizationRole: MethodologyRole: ResourcesRole: Writing - review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: MethodologyRole: Project administrationRole: SupervisionRole: ValidationRole: Writing - original draftRole: Writing - review & editing
                Journal
                Sci Adv
                Sci Adv
                sciadv
                advances
                Science Advances
                American Association for the Advancement of Science
                2375-2548
                01 December 2023
                29 November 2023
                : 9
                : 48
                : eadh2726
                Affiliations
                [ 1 ]Department of Experimental Oncology, European Institute of Oncology IRCCS, Via Adamello 16, 20139 Milan, Italy.
                [ 2 ]Human Technopole, Viale Rita Levi-Montalcini 1, 20157 Milan, Italy.
                [ 3 ]Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.
                [ 4 ]Department of Medical Genetics, University of British Columbia, Vancouver, BC, Canada.
                [ 5 ]Experimental Therapeutics Program, FIRC Institute of Molecular Oncology Foundation (IFOM), 20139 Milan, Italy.
                [ 6 ]Department of Medicine, University of Toronto, Toronto, ON, Canada.
                Author notes
                [* ]Corresponding author. Email: giuseppe.testa@ 123456fht.org
                [†]

                These authors contributed equally to this work.

                [‡]

                Present address: Genentech, South San Francisco, CA 94080, USA.

                [§]

                These authors contributed equally to this work.

                [¶]

                Present address: Automated Stem Cell and Organoid Facility, Human Technopole, Viale Rita Levi-Montalcini 1, 20157 Milan, Italy.

                [#]

                Present Address: Telethon Institute of Genetics and Medicine (TIGEM), Pozzuoli, Via Campi Flegrei, 34, 80078 Naples, Italy.

                [**]

                Present address: Institute of Molecular Genetics and Genetic Engineering, University of Belgrade, Vojvode Stepe 444a, 11042 Belgrade 152, Serbia.

                Author information
                https://orcid.org/0000-0002-9479-6235
                https://orcid.org/0000-0002-1888-8656
                https://orcid.org/0000-0002-1208-3160
                https://orcid.org/0000-0002-0832-2333
                https://orcid.org/0000-0003-0278-3494
                https://orcid.org/0000-0002-3142-6747
                https://orcid.org/0000-0001-8097-4320
                https://orcid.org/0000-0002-0226-8241
                https://orcid.org/0000-0002-4073-8259
                https://orcid.org/0000-0001-7478-2509
                https://orcid.org/0000-0001-7261-3162
                https://orcid.org/0000-0002-6552-402X
                https://orcid.org/0000-0002-9778-7190
                https://orcid.org/0000-0003-3556-1265
                https://orcid.org/0000-0001-6240-4607
                https://orcid.org/0000-0003-0367-8290
                https://orcid.org/0000-0003-1152-1568
                https://orcid.org/0000-0002-9104-0918
                Article
                adh2726
                10.1126/sciadv.adh2726
                10686562
                38019906
                153683dd-976d-4dc3-92bc-1ca343f04d77
                Copyright © 2023 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license, which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.

                History
                : 21 February 2023
                : 30 October 2023
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 634880
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 825759
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 823839
                Funded by: FundRef http://dx.doi.org/10.13039/501100000781, European Research Council;
                Award ID: 616441
                Funded by: FundRef http://dx.doi.org/10.13039/501100002426, Fondazione Telethon;
                Award ID: GGP14265
                Funded by: FundRef http://dx.doi.org/10.13039/501100002426, Fondazione Telethon;
                Award ID: GGP19226
                Funded by: FundRef http://dx.doi.org/10.13039/501100002426, Fondazione Telethon;
                Award ID: GGP19295
                Funded by: FundRef http://dx.doi.org/10.13039/501100002803, Fondazione Cariplo;
                Award ID: 2017-0886
                Funded by: FundRef http://dx.doi.org/10.13039/501100003196, Ministero della Salute;
                Award ID: ERANET NEURON RRC-2019-2366750
                Categories
                Research Article
                Neuroscience
                SciAdv r-articles
                Neuroscience
                Custom metadata
                Jeanelle Ebreo

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