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Tian Y, Wu X, Luo S, Xiong D, Liu R, Hu L, Yuan Y, Shi G, Yao J, Huang Z, Fu F, Yang X, Tang Z, Zhang J, Hu K. A multi-omic single-cell landscape of cellular diversification in the developing human cerebral cortex. Comput Struct Biotechnol J 2024; 23:2173-2189. [PMID: 38827229 PMCID: PMC11141146 DOI: 10.1016/j.csbj.2024.05.019] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/09/2024] [Accepted: 05/13/2024] [Indexed: 06/04/2024] Open
Abstract
The vast neuronal diversity in the human neocortex is vital for high-order brain functions, necessitating elucidation of the regulatory mechanisms underlying such unparalleled diversity. However, recent studies have yet to comprehensively reveal the diversity of neurons and the molecular logic of neocortical origin in humans at single-cell resolution through profiling transcriptomic or epigenomic landscapes, owing to the application of unimodal data alone to depict exceedingly heterogeneous populations of neurons. In this study, we generated a comprehensive compendium of the developing human neocortex by simultaneously profiling gene expression and open chromatin from the same cell. We computationally reconstructed the differentiation trajectories of excitatory projection neurons of cortical origin and inferred the regulatory logic governing lineage bifurcation decisions for neuronal diversification. We demonstrated that neuronal diversity arises from progenitor cell lineage specificity and postmitotic differentiation at distinct stages. Our data paves the way for understanding the primarily coordinated regulatory logic for neuronal diversification in the neocortex.
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Affiliation(s)
- Yuhan Tian
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Xia Wu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Songhao Luo
- School of Mathematics, Sun Yat-sen University, Guangzhou 510275, China
| | - Dan Xiong
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Rong Liu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Lanqi Hu
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Yuchen Yuan
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Guowei Shi
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Junjie Yao
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Zhiwei Huang
- School of Mathematics, Sun Yat-sen University, Guangzhou 510275, China
| | - Fang Fu
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 511436, China
| | - Xin Yang
- Guangzhou Women and Children’s Medical Center, Guangzhou Medical University, Guangzhou 511436, China
| | - Zhonghui Tang
- Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
| | - Jiajun Zhang
- School of Mathematics, Sun Yat-sen University, Guangzhou 510275, China
| | - Kunhua Hu
- Guangdong Provincial Key Laboratory of Brain Function and Disease, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510275, China
- Public Platform Laboratory, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou 510630, China
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2
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Li M, Yuan Y, Hou Z, Hao S, Jin L, Wang B. Human brain organoid: trends, evolution, and remaining challenges. Neural Regen Res 2024; 19:2387-2399. [PMID: 38526275 PMCID: PMC11090441 DOI: 10.4103/1673-5374.390972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Revised: 09/26/2023] [Accepted: 10/28/2023] [Indexed: 03/26/2024] Open
Abstract
Advanced brain organoids provide promising platforms for deciphering the cellular and molecular processes of human neural development and diseases. Although various studies and reviews have described developments and advancements in brain organoids, few studies have comprehensively summarized and analyzed the global trends in this area of neuroscience. To identify and further facilitate the development of cerebral organoids, we utilized bibliometrics and visualization methods to analyze the global trends and evolution of brain organoids in the last 10 years. First, annual publications, countries/regions, organizations, journals, authors, co-citations, and keywords relating to brain organoids were identified. The hotspots in this field were also systematically identified. Subsequently, current applications for brain organoids in neuroscience, including human neural development, neural disorders, infectious diseases, regenerative medicine, drug discovery, and toxicity assessment studies, are comprehensively discussed. Towards that end, several considerations regarding the current challenges in brain organoid research and future strategies to advance neuroscience will be presented to further promote their application in neurological research.
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Affiliation(s)
- Minghui Li
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
- Southwest Hospital/Southwest Eye Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Yuhan Yuan
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Zongkun Hou
- School of Biology and Engineering/School of Basic Medical Sciences, Guizhou Medical University, Guiyang, Guizhou Province, China
| | - Shilei Hao
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Liang Jin
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
| | - Bochu Wang
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, China
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3
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Carrasco CD, Bahle B, Simmons AM, Luck SJ. Using multivariate pattern analysis to increase effect sizes for event-related potential analyses. Psychophysiology 2024; 61:e14570. [PMID: 38516957 DOI: 10.1111/psyp.14570] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/21/2024] [Accepted: 03/09/2024] [Indexed: 03/23/2024]
Abstract
Multivariate pattern analysis (MVPA) approaches can be applied to the topographic distribution of event-related potential (ERP) signals to "decode" subtly different stimulus classes, such as different faces or different orientations. These approaches are extremely sensitive, and it seems possible that they could also be used to increase effect sizes and statistical power in traditional paradigms that ask whether an ERP component differs in amplitude across conditions. To assess this possibility, we leveraged the open-source ERP CORE data set and compared the effect sizes resulting from conventional univariate analyses of mean amplitude with two MVPA approaches (support vector machine decoding and the cross-validated Mahalanobis distance, both of which are easy to compute using open-source software). We assessed these approaches across seven widely studied ERP components (N170, N400, N2pc, P3b, lateral readiness potential, error related negativity, and mismatch negativity). Across all components, we found that multivariate approaches yielded effect sizes that were as large or larger than the effect sizes produced by univariate approaches. These results indicate that researchers could obtain larger effect sizes, and therefore greater statistical power, by using multivariate analysis of topographic voltage patterns instead of traditional univariate analyses in many ERP studies.
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Affiliation(s)
| | - Brett Bahle
- Center for Mind and Brain, University of California, Davis, California, USA
| | | | - Steven J Luck
- Center for Mind and Brain, University of California, Davis, California, USA
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4
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Ross G, Radtke-Schuller S, Frohlich F. Ferret as a model system for studying the anatomy and function of the prefrontal cortex: A systematic review. Neurosci Biobehav Rev 2024; 162:105701. [PMID: 38718987 PMCID: PMC11162921 DOI: 10.1016/j.neubiorev.2024.105701] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 04/12/2024] [Accepted: 05/01/2024] [Indexed: 05/19/2024]
Abstract
There is a lack of consensus on anatomical nomenclature, standards of documentation, and functional equivalence of the frontal cortex between species. There remains a major gap between human prefrontal function and interpretation of findings in the mouse brain that appears to lack several key prefrontal areas involved in cognition and psychiatric illnesses. The ferret is an emerging model organism that has gained traction as an intermediate model species for the study of top-down cognitive control and other higher-order brain functions. However, this research has yet to benefit from synthesis. Here, we provide a summary of all published research pertaining to the frontal and/or prefrontal cortex of the ferret across research scales. The targeted location within the ferret brain is summarized visually for each experiment, and the anatomical terminology used at time of publishing is compared to what would be the appropriate term to use presently. By doing so, we hope to improve clarity in the interpretation of both previous and future publications on the comparative study of frontal cortex.
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Affiliation(s)
- Grace Ross
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA
| | - Susanne Radtke-Schuller
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Flavio Frohlich
- Department of Psychiatry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Carolina Center for Neurostimulation, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Neuroscience Center, University of North Carolina, Chapel Hill, NC, USA; Department of Cell Biology and Physiology, University of North Carolina, Chapel Hill, NC, USA; Department of Biomedical Engineering, University of North Carolina, Chapel Hill, NC, USA; Department of Neurology, University of North Carolina, Chapel Hill, NC, USA.
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5
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Singh A, Del-Valle-Anton L, de Juan Romero C, Zhang Z, Ortuño EF, Mahesh A, Espinós A, Soler R, Cárdenas A, Fernández V, Lusby R, Tiwari VK, Borrell V. Gene regulatory landscape of cerebral cortex folding. SCIENCE ADVANCES 2024; 10:eadn1640. [PMID: 38838158 DOI: 10.1126/sciadv.adn1640] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Accepted: 05/02/2024] [Indexed: 06/07/2024]
Abstract
Folding of the cerebral cortex is a key aspect of mammalian brain development and evolution, and defects are linked to severe neurological disorders. Primary folding occurs in highly stereotyped patterns that are predefined in the cortical germinal zones by a transcriptomic protomap. The gene regulatory landscape governing the emergence of this folding protomap remains unknown. We characterized the spatiotemporal dynamics of gene expression and active epigenetic landscape (H3K27ac) across prospective folds and fissures in ferret. Our results show that the transcriptomic protomap begins to emerge at early embryonic stages, and it involves cell-fate signaling pathways. The H3K27ac landscape reveals developmental cell-fate restriction and engages known developmental regulators, including the transcription factor Cux2. Manipulating Cux2 expression in cortical progenitors changed their proliferation and the folding pattern in ferret, caused by selective transcriptional changes as revealed by single-cell RNA sequencing analyses. Our findings highlight the key relevance of epigenetic mechanisms in defining the patterns of cerebral cortex folding.
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Affiliation(s)
- Aditi Singh
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry, and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
| | - Lucia Del-Valle-Anton
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Camino de Juan Romero
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Ziyi Zhang
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry, and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
| | - Eduardo Fernández Ortuño
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Arun Mahesh
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry, and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
- Institute for Molecular Medicine, University of Southern Denmark, Odense M, Denmark
| | - Alexandre Espinós
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Rafael Soler
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Adrián Cárdenas
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Virginia Fernández
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Ryan Lusby
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry, and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
| | - Vijay K Tiwari
- Wellcome-Wolfson Institute for Experimental Medicine, School of Medicine, Dentistry, and Biomedical Science, Queens University Belfast, Belfast BT9 7BL, UK
- Institute for Molecular Medicine, University of Southern Denmark, Odense M, Denmark
- Danish Institute for Advanced Study (DIAS), Odense M, Denmark
- Department of Clinical Genetics, Odense University Hospital, Odense C, Denmark
| | - Víctor Borrell
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas and Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
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6
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Clément F, Olayé J. A stochastic model for neural progenitor dynamics in the mouse cerebral cortex. Math Biosci 2024; 372:109185. [PMID: 38561099 DOI: 10.1016/j.mbs.2024.109185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 03/26/2024] [Accepted: 03/27/2024] [Indexed: 04/04/2024]
Abstract
We have designed a stochastic model of embryonic neurogenesis in the mouse cerebral cortex, using the formalism of compound Poisson processes. The model accounts for the dynamics of different progenitor cell types and neurons. The expectation and variance of the cell number of each type are derived analytically and illustrated through numerical simulations. The effects of stochastic transition rates between cell types, and stochastic duration of the cell division cycle have been investigated sequentially. The model does not only predict the number of neurons, but also their spatial distribution into deeper and upper cortical layers. The model outputs are consistent with experimental data providing the number of neurons and intermediate progenitors according to embryonic age in control and mutant situations.
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Affiliation(s)
- Frédérique Clément
- Université Paris Saclay, Inria, Centre Inria de Saclay, 91120, Palaiseau, France
| | - Jules Olayé
- Institut Polytechnique de Paris, Inria, Centre de Mathématiques Appliquées, 91120, Palaiseau, France.
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Schmidt AR, Jaime VS, Inserra PIF, Proietto S, Corso MC, Burd IA, Leopardo NP, Halperin J, Vitullo AD, Dorfman VB. Corticogenesis and folding process of the neopallium in the South American plains vizcacha, Lagostomus maximus. J Comp Neurol 2024; 532:e25631. [PMID: 38813760 DOI: 10.1002/cne.25631] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2024] [Revised: 04/09/2024] [Accepted: 05/09/2024] [Indexed: 05/31/2024]
Abstract
The plains vizcacha, Lagostomus maximus, is a precocial hystricomorph rodent with a gyrencephalic brain. This work aimed to perform a time-lapse analysis of the embryonic brain cortical development in the plains vizcacha to establish a species-specific temporal window for corticogenesis and the gyrencephaly onset. Additionally, a comparative examination with evolutionarily related rodents was conducted. Embryos from 40 embryonic days (ED) until the end of pregnancy ( ∼ $\sim $ 154 ED) were evaluated. The neuroanatomical examination determined transverse sulci at 80 ED and rostral lateral and caudal intraparietal sulci around 95 ED. Histological examination of corticogenesis showed emergence of the subplate at 43 ED and expansion of the subventricular zone (SVZ) and its division into inner and outer SVZs around 54 ED. The neocortical layers formation followed an inside-to-outside spatiotemporal gradient beginning with the emergence of layers VI and V at 68 ED and establishing the final six neocortical layers around 100 ED. A progressive increment of gyrencephalization index (GI) from 1.005 ± 0.003 around 70 ED, which reflects a smooth cortex, up to 1.07 ± 0.009 at the end of gestation, reflecting a gyrencephalic neuroanatomy, was determined. Contrarily, the minimum cortical thickness (MCT) progressively decreased from 61 ED up to the end of gestation. These results show that the decrease in the cortical thickness, which enables the onset of neocortical invaginations, occurs together with the expansion and subdivision of the SVZ. The temporal comparison of corticogenesis in plains vizcacha with that in relative species reflects a prenatal long process compared with other rodents that may give an evolutionary advantage to L. maximus as a precocial species.
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Affiliation(s)
- Alejandro Raúl Schmidt
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Vanina Soledad Jaime
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
| | - Pablo Ignacio Felipe Inserra
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Sofía Proietto
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - María Clara Corso
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Ileana Abigail Burd
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
| | - Noelia Paola Leopardo
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Julia Halperin
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Alfredo Daniel Vitullo
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
| | - Verónica Berta Dorfman
- Centro de Estudios Biomédicos Básicos, Aplicados y Desarrollo (CEBBAD), Universidad Maimónides, Buenos Aires, Argentina
- Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina
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Taubert M, Ziegler G, Lehmann N. Higher surface folding of the human premotor cortex is associated with better long-term learning capability. Commun Biol 2024; 7:635. [PMID: 38796622 PMCID: PMC11127997 DOI: 10.1038/s42003-024-06309-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Accepted: 05/08/2024] [Indexed: 05/28/2024] Open
Abstract
The capacity to learn enabled the human species to adapt to various challenging environmental conditions and pass important achievements on to the next generation. A growing body of research suggests links between neocortical folding properties and numerous aspects of human behavior, but their impact on enhanced human learning capacity remains unexplored. Here we leverage three training cohorts to demonstrate that higher levels of premotor cortical folding reliably predict individual long-term learning gains in a challenging new motor task, above and beyond initial performance differences. Individual folding-related predisposition to motor learning was found to be independent of cortical thickness and intracortical microstructure, but dependent on larger cortical surface area in premotor regions. We further show that learning-relevant features of cortical folding occurred in close spatial proximity to practice-induced structural brain plasticity. Our results suggest a link between neocortical surface folding and human behavioral adaptability.
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Affiliation(s)
- Marco Taubert
- Department of Sport Science, Institute III, Faculty of Humanities, Otto von Guericke University, Zschokkestraße 32, 39104, Magdeburg, Germany.
- Center for Behavioral and Brain Science (CBBS), Otto von Guericke University, Universitätsplatz 2, 39106, Magdeburg, Germany.
- Collaborative Research Center 1436 Neural Resources of Cognition, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany.
| | - Gabriel Ziegler
- Collaborative Research Center 1436 Neural Resources of Cognition, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
- Germany German Center for Neurodegenerative Diseases (DZNE), Leipziger Straße 44, 39120, Magdeburg, Germany
- Institute of Cognitive Neurology and Dementia Research, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
| | - Nico Lehmann
- Department of Sport Science, Institute III, Faculty of Humanities, Otto von Guericke University, Zschokkestraße 32, 39104, Magdeburg, Germany
- Collaborative Research Center 1436 Neural Resources of Cognition, Otto von Guericke University, Leipziger Str. 44, 39120, Magdeburg, Germany
- Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences, Stephanstraße 1a, 04103, Leipzig, Germany
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9
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Jiang Z, Sun Y, Liu S. Association between human blood metabolites and cerebral cortex architecture: evidence from a Mendelian randomization study. Front Neurol 2024; 15:1386844. [PMID: 38784905 PMCID: PMC11111910 DOI: 10.3389/fneur.2024.1386844] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024] Open
Abstract
Background Dysregulation of circulating metabolites may affect brain function and cognition, associated with alterations in the cerebral cortex architecture. However, the exact cause remains unclear. This study aimed to determine the causal effect of circulating metabolites on the cerebral cortex architecture. Methods This study utilized retrieved data from genome-wide association studies to investigate the relationship between blood metabolites and cortical architecture. A total of 1,091 metabolites and 309 metabolite ratios were used for exposure. The brain cortex surface area and cortex thickness were selected as the primary outcomes in this study. In this study, the inverse variance weighting method was used as the main analytical method, complemented by sensitivity analyses that were more robust to pleiotropy. Furthermore, metabolic pathway analysis was performed via MetaboAnalyst 6.0. Finally, reverse Mendelian randomization (MR) analysis was conducted to assess the potential for reverse causation. Results After correcting for the false discovery rate (FDR), we identified 37 metabolites and 9 metabolite ratios that showed significant causal associations with cortical structures. Among these, Oxalate was found to be most strongly associated with cortical surface area (β: 2387.532, 95% CI 756.570-4018.495, p = 0.037), while Tyrosine was most correlated with cortical thickness (β: -0.015, 95% CI -0.005 to -0.025, p = 0.025). Furthermore, pathway analysis based on metabolites identified six significant metabolic pathways associated with cortical structures and 13 significant metabolic pathways based on metabolite ratios. Conclusion The identified metabolites and relevant metabolic pathways reveal potential therapeutic pathways for reducing the risk of neurodegenerative diseases. These findings will help guide health policies and clinical practice in treating neurodegenerative diseases.
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Affiliation(s)
- Zongzhi Jiang
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
| | - Yining Sun
- Department of Neurology, The First Hospital of Jilin University, Changchun, China
| | - Songyan Liu
- Department of Neurology, China-Japan Union Hospital, Jilin University, Changchun, China
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10
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Coquand L, Brunet Avalos C, Macé AS, Farcy S, Di Cicco A, Lampic M, Wimmer R, Bessières B, Attie-Bitach T, Fraisier V, Sens P, Guimiot F, Brault JB, Baffet AD. A cell fate decision map reveals abundant direct neurogenesis bypassing intermediate progenitors in the human developing neocortex. Nat Cell Biol 2024; 26:698-709. [PMID: 38548890 PMCID: PMC11098750 DOI: 10.1038/s41556-024-01393-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2022] [Accepted: 02/29/2024] [Indexed: 05/03/2024]
Abstract
The human neocortex has undergone strong evolutionary expansion, largely due to an increased progenitor population, the basal radial glial cells. These cells are responsible for the production of a diversity of cell types, but the successive cell fate decisions taken by individual progenitors remain unknown. Here we developed a semi-automated live/fixed correlative imaging method to map basal radial glial cell division modes in early fetal tissue and cerebral organoids. Through the live analysis of hundreds of dividing progenitors, we show that basal radial glial cells undergo abundant symmetric amplifying divisions, and frequent self-consuming direct neurogenic divisions, bypassing intermediate progenitors. These direct neurogenic divisions are more abundant in the upper part of the subventricular zone. We furthermore demonstrate asymmetric Notch activation in the self-renewing daughter cells, independently of basal fibre inheritance. Our results reveal a remarkable conservation of fate decisions in cerebral organoids, supporting their value as models of early human neurogenesis.
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Affiliation(s)
- Laure Coquand
- Institut Curie, PSL Research University, CNRS UMR144, Paris, France
- Sorbonne Université, Ecole Doctorale complexité du vivant, Paris, France
| | | | - Anne-Sophie Macé
- UMR 144-Cell and Tissue Imaging Facility (PICT-IBiSA), CNRS-Institut Curie, Paris, France
| | - Sarah Farcy
- Institut Curie, PSL Research University, CNRS UMR144, Paris, France
| | | | - Marusa Lampic
- Institut Curie, PSL Research University, CNRS UMR144, Paris, France
| | - Ryszard Wimmer
- Institut Curie, PSL Research University, CNRS UMR144, Paris, France
- Sorbonne Université, Ecole Doctorale complexité du vivant, Paris, France
| | - Betina Bessières
- UF Embryofœtopathologie, Hopital Necker-enfants malades, Paris, France
| | | | - Vincent Fraisier
- UMR 144-Cell and Tissue Imaging Facility (PICT-IBiSA), CNRS-Institut Curie, Paris, France
| | - Pierre Sens
- Institut Curie, PSL Research University, CNRS UMR168, Paris, France
| | - Fabien Guimiot
- UF de Fœtopathologie - Université de Paris et Inserm UMR1141, Hôpital Robert Debré, Paris, France
| | | | - Alexandre D Baffet
- Institut Curie, PSL Research University, CNRS UMR144, Paris, France.
- Institut national de la santé et de la recherche médicale, Paris, France.
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11
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Fernández V, Borrell V. Keep calm and make neurons: The effects of glucocorticoids on human cortical neurogenesis. Neuron 2024; 112:1373-1375. [PMID: 38697018 DOI: 10.1016/j.neuron.2024.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 04/04/2024] [Accepted: 04/04/2024] [Indexed: 05/04/2024]
Abstract
Maternal well-being is important for the development of the fetus, with a key influence on its nervous system. In this issue of Neuron, Krontira et al.1 implicate glucocorticoids, the stress hormones, in the regulation of neural stem cell identity and proliferation, with long-lasting consequences on brain architecture and educational attainment.
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Affiliation(s)
- Virginia Fernández
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas & Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain
| | - Víctor Borrell
- Instituto de Neurociencias, Consejo Superior de Investigaciones Científicas & Universidad Miguel Hernández, Sant Joan d'Alacant 03550, Spain.
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12
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Stepien BK, Wielockx B. From Vessels to Neurons-The Role of Hypoxia Pathway Proteins in Embryonic Neurogenesis. Cells 2024; 13:621. [PMID: 38607059 PMCID: PMC11012138 DOI: 10.3390/cells13070621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2024] [Revised: 03/20/2024] [Accepted: 03/26/2024] [Indexed: 04/13/2024] Open
Abstract
Embryonic neurogenesis can be defined as a period of prenatal development during which divisions of neural stem and progenitor cells give rise to neurons. In the central nervous system of most mammals, including humans, the majority of neocortical neurogenesis occurs before birth. It is a highly spatiotemporally organized process whose perturbations lead to cortical malformations and dysfunctions underlying neurological and psychiatric pathologies, and in which oxygen availability plays a critical role. In case of deprived oxygen conditions, known as hypoxia, the hypoxia-inducible factor (HIF) signaling pathway is activated, resulting in the selective expression of a group of genes that regulate homeostatic adaptations, including cell differentiation and survival, metabolism and angiogenesis. While a physiological degree of hypoxia is essential for proper brain development, imbalanced oxygen levels can adversely affect this process, as observed in common obstetrical pathologies such as prematurity. This review comprehensively explores and discusses the current body of knowledge regarding the role of hypoxia and the HIF pathway in embryonic neurogenesis of the mammalian cortex. Additionally, it highlights existing gaps in our understanding, presents unanswered questions, and provides avenues for future research.
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Affiliation(s)
- Barbara K. Stepien
- Institute of Clinical Chemistry and Laboratory Medicine, Technische Universität Dresden, 01307 Dresden, Germany
| | - Ben Wielockx
- Institute of Clinical Chemistry and Laboratory Medicine, Technische Universität Dresden, 01307 Dresden, Germany
- Experimental Centre, Faculty of Medicine, Technische Universität Dresden, 01307 Dresden, Germany
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13
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Mao W, Chen Y, He Z, Wang Z, Xiao Z, Sun Y, He L, Zhou J, Guo W, Ma C, Zhao L, Kendrick KM, Zhou B, Becker B, Liu T, Zhang T, Jiang X. Brain Structural Connectivity Guided Vision Transformers for Identification of Functional Connectivity Characteristics in Preterm Neonates. IEEE J Biomed Health Inform 2024; 28:2223-2234. [PMID: 38285570 DOI: 10.1109/jbhi.2024.3355020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2024]
Abstract
Preterm birth is the leading cause of death in children under five years old, and is associated with a wide sequence of complications in both short and long term. In view of rapid neurodevelopment during the neonatal period, preterm neonates may exhibit considerable functional alterations compared to term ones. However, the identified functional alterations in previous studies merely achieve moderate classification performance, while more accurate functional characteristics with satisfying discrimination ability for better diagnosis and therapeutic treatment is underexplored. To address this problem, we propose a novel brain structural connectivity (SC) guided Vision Transformer (SCG-ViT) to identify functional connectivity (FC) differences among three neonatal groups: preterm, preterm with early postnatal experience, and term. Particularly, inspired by the neuroscience-derived information, a novel patch token of SC/FC matrix is defined, and the SC matrix is then adopted as an effective mask into the ViT model to screen out input FC patch embeddings with weaker SC, and to focus on stronger ones for better classification and identification of FC differences among the three groups. The experimental results on multi-modal MRI data of 437 neonatal brains from publicly released Developing Human Connectome Project (dHCP) demonstrate that SCG-ViT achieves superior classification ability compared to baseline models, and successfully identifies holistically different FC patterns among the three groups. Moreover, these different FCs are significantly correlated with the differential gene expressions of the three groups. In summary, SCG-ViT provides a powerfully brain-guided pipeline of adopting large-scale and data-intensive deep learning models for medical imaging-based diagnosis.
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14
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Kawasaki H. Investigation of the mechanisms underlying the development and evolution of folds of the cerebrum using gyrencephalic ferrets. J Comp Neurol 2024; 532:e25615. [PMID: 38587214 DOI: 10.1002/cne.25615] [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: 12/24/2023] [Revised: 02/22/2024] [Accepted: 03/24/2024] [Indexed: 04/09/2024]
Abstract
The mammalian cerebrum has changed substantially during evolution, characterized by increases in neurons and glial cells and by the expansion and folding of the cerebrum. While these evolutionary alterations are thought to be crucial for acquiring higher cognitive functions, the molecular mechanisms underlying the development and evolution of the mammalian cerebrum remain only partially understood. This is, in part, because of the difficulty in analyzing these mechanisms using mice only. To overcome this limitation, genetic manipulation techniques for the cerebrum of gyrencephalic carnivore ferrets have been developed. Furthermore, successful gene knockout in the ferret cerebrum has been accomplished through the application of the CRISPR/Cas9 system. This review mainly highlights recent research conducted using gyrencephalic carnivore ferrets to investigate the mechanisms underlying the development and evolution of cortical folds.
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Affiliation(s)
- Hiroshi Kawasaki
- Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, Kanazawa, Japan
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15
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Mubuchi A, Takechi M, Nishio S, Matsuda T, Itoh Y, Sato C, Kitajima K, Kitagawa H, Miyata S. Assembly of neuron- and radial glial-cell-derived extracellular matrix molecules promotes radial migration of developing cortical neurons. eLife 2024; 12:RP92342. [PMID: 38512724 PMCID: PMC10957175 DOI: 10.7554/elife.92342] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2024] Open
Abstract
Radial neuronal migration is a key neurodevelopmental event for proper cortical laminar organization. The multipolar-to-bipolar transition, a critical step in establishing neuronal polarity during radial migration, occurs in the subplate/intermediate zone (SP/IZ), a distinct region of the embryonic cerebral cortex. It has been known that the extracellular matrix (ECM) molecules are enriched in the SP/IZ. However, the molecular constitution and functions of the ECM formed in this region remain poorly understood. Here, we identified neurocan (NCAN) as a major chondroitin sulfate proteoglycan in the mouse SP/IZ. NCAN binds to both radial glial-cell-derived tenascin-C (TNC) and hyaluronan (HA), a large linear polysaccharide, forming a ternary complex of NCAN, TNC, and HA in the SP/IZ. Developing cortical neurons make contact with the ternary complex during migration. The enzymatic or genetic disruption of the ternary complex impairs radial migration by suppressing the multipolar-to-bipolar transition. Furthermore, both TNC and NCAN promoted the morphological maturation of cortical neurons in vitro. The present results provide evidence for the cooperative role of neuron- and radial glial-cell-derived ECM molecules in cortical development.
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Affiliation(s)
- Ayumu Mubuchi
- Graduate School of Agriculture, Tokyo University of Agriculture and TechnologyFuchuJapan
| | - Mina Takechi
- Graduate School of Bioagricultural Sciences, Nagoya UniversityNagoyaJapan
| | - Shunsuke Nishio
- Faculty of Food and Agricultural Sciences, Fukushima UniversityFukushimaJapan
| | - Tsukasa Matsuda
- Faculty of Food and Agricultural Sciences, Fukushima UniversityFukushimaJapan
| | - Yoshifumi Itoh
- Kennedy Institute of Rheumatology, University of OxfordOxfordUnited Kingdom
| | - Chihiro Sato
- Graduate School of Bioagricultural Sciences, Nagoya UniversityNagoyaJapan
- Bioscience and Biotechnology Center, Nagoya UniversityNagoyaJapan
- Institute for Glyco-core Research, Nagoya UniversityNagoyaJapan
| | - Ken Kitajima
- Graduate School of Bioagricultural Sciences, Nagoya UniversityNagoyaJapan
- Bioscience and Biotechnology Center, Nagoya UniversityNagoyaJapan
- Institute for Glyco-core Research, Nagoya UniversityNagoyaJapan
| | - Hiroshi Kitagawa
- Laboratory of Biochemistry, Kobe Pharmaceutical UniversityKobeJapan
| | - Shinji Miyata
- Graduate School of Agriculture, Tokyo University of Agriculture and TechnologyFuchuJapan
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16
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Carrasco CD, Bahle B, Simmons AM, Luck SJ. Using Multivariate Pattern Analysis to Increase Effect Sizes for Event-Related Potential Analyses. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2023.11.07.566051. [PMID: 37986854 PMCID: PMC10659264 DOI: 10.1101/2023.11.07.566051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/22/2023]
Abstract
Multivariate pattern analysis approaches can be applied to the topographic distribution of event-related potential (ERP) signals to 'decode' subtly different stimulus classes, such as different faces or different orientations. These approaches are extremely sensitive, and it seems possible that they could also be used to increase effect sizes and statistical power in traditional paradigms that ask whether an ERP component differs in amplitude across conditions. To assess this possibility, we leveraged the open-source ERP CORE dataset and compared the effect sizes resulting from conventional univariate analyses of mean amplitude with two multivariate pattern analysis approaches (support vector machine decoding and the cross-validated Mahalanobis distance, both of which are easy to compute using open-source software). We assessed these approaches across seven widely studied ERP components (N170, N400, N2pc, P3b, lateral readiness potential, error related negativity, and mismatch negativity). Across all components, we found that multivariate approaches yielded effect sizes that were as large or larger than the effect sizes produced by univariate approaches. These results indicate that researchers could obtain larger effect sizes, and therefore greater statistical power, by using multivariate analysis of topographic voltage patterns instead of traditional univariate analyses in many ERP studies.
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Affiliation(s)
| | - Brett Bahle
- Center for Mind & Brain, University of California, Davis
| | | | - Steven J Luck
- Center for Mind & Brain, University of California, Davis
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17
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Karwacki-Neisius V, Jang A, Cukuroglu E, Tai A, Jiao A, Predes D, Yoon J, Brookes E, Chen J, Iberg A, Halbritter F, Õunap K, Gecz J, Schlaeger TM, Ho Sui S, Göke J, He X, Lehtinen MK, Pomeroy SL, Shi Y. WNT signalling control by KDM5C during development affects cognition. Nature 2024; 627:594-603. [PMID: 38383780 PMCID: PMC10954547 DOI: 10.1038/s41586-024-07067-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Accepted: 01/12/2024] [Indexed: 02/23/2024]
Abstract
Although KDM5C is one of the most frequently mutated genes in X-linked intellectual disability1, the exact mechanisms that lead to cognitive impairment remain unknown. Here we use human patient-derived induced pluripotent stem cells and Kdm5c knockout mice to conduct cellular, transcriptomic, chromatin and behavioural studies. KDM5C is identified as a safeguard to ensure that neurodevelopment occurs at an appropriate timescale, the disruption of which leads to intellectual disability. Specifically, there is a developmental window during which KDM5C directly controls WNT output to regulate the timely transition of primary to intermediate progenitor cells and consequently neurogenesis. Treatment with WNT signalling modulators at specific times reveal that only a transient alteration of the canonical WNT signalling pathway is sufficient to rescue the transcriptomic and chromatin landscapes in patient-derived cells and to induce these changes in wild-type cells. Notably, WNT inhibition during this developmental period also rescues behavioural changes of Kdm5c knockout mice. Conversely, a single injection of WNT3A into the brains of wild-type embryonic mice cause anxiety and memory alterations. Our work identifies KDM5C as a crucial sentinel for neurodevelopment and sheds new light on KDM5C mutation-associated intellectual disability. The results also increase our general understanding of memory and anxiety formation, with the identification of WNT functioning in a transient nature to affect long-lasting cognitive function.
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Affiliation(s)
- Violetta Karwacki-Neisius
- Division of Newborn Medicine and Epigenetics Program, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Ahram Jang
- Division of Newborn Medicine and Epigenetics Program, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
| | - Engin Cukuroglu
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, Singapore
| | - Albert Tai
- Department of Immunology, Tufts University School of Medicine, Boston, MA, USA
- Data Intensive Studies Center, Tufts University, Medford, MA, USA
| | - Alan Jiao
- Division of Newborn Medicine and Epigenetics Program, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK
| | - Danilo Predes
- Department of Neurology, F. M Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Joon Yoon
- Department of Biostatistics, The Harvard Chan School of Public Health, Bioinformatics Core, Cambridge, MA, USA
| | - Emily Brookes
- Division of Newborn Medicine and Epigenetics Program, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- School of Biological Sciences, University of Southampton, Southampton, UK
| | - Jiekai Chen
- Division of Newborn Medicine and Epigenetics Program, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
- CAS Key Laboratory of Regenerative Biology and Guangdong Provincial Key Laboratory of Stem Cell and Regenerative Medicine, Guangzhou Institutes of Biomedicine and Health, Chinese Academy of Sciences, Guangzhou, China
| | - Aimee Iberg
- Division of Newborn Medicine and Epigenetics Program, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Florian Halbritter
- Children's Cancer Research Institute, St Anna Kinderkrebsforschung, Vienna, Austria
| | - Katrin Õunap
- Department of Clinical Genetics, Genetic and Personalized Medicine Clinic, Tartu University Hospital, Tartu, Estonia
- Department of Clinical Genetics, Institute of Clinical Medicine, University of Tartu, Tartu, Estonia
| | - Jozef Gecz
- Adelaide Medical School and Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Thorsten M Schlaeger
- Stem Cell Program, Boston Children's Hospital, Boston, MA, USA
- Division of Hematology/Oncology, Boston Children's Hospital and Dana-Farber Cancer Institute, Boston, MA, USA
| | - Shannan Ho Sui
- Department of Biostatistics, The Harvard Chan School of Public Health, Bioinformatics Core, Cambridge, MA, USA
| | - Jonathan Göke
- Computational and Systems Biology, Genome Institute of Singapore, Singapore, Singapore
| | - Xi He
- Department of Neurology, F. M Kirby Neurobiology Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA
| | - Maria K Lehtinen
- Department of Pathology, Boston Children's Hospital, Boston, MA, USA
| | - Scott L Pomeroy
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, USA
- Harvard Medical School, Boston, MA, USA
| | - Yang Shi
- Division of Newborn Medicine and Epigenetics Program, Department of Pediatrics, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
- Ludwig Institute for Cancer Research, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
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18
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Hendriks D, Pagliaro A, Andreatta F, Ma Z, van Giessen J, Massalini S, López-Iglesias C, van Son GJF, DeMartino J, Damen JMA, Zoutendijk I, Staliarova N, Bredenoord AL, Holstege FCP, Peters PJ, Margaritis T, Chuva de Sousa Lopes S, Wu W, Clevers H, Artegiani B. Human fetal brain self-organizes into long-term expanding organoids. Cell 2024; 187:712-732.e38. [PMID: 38194967 DOI: 10.1016/j.cell.2023.12.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 09/27/2023] [Accepted: 12/05/2023] [Indexed: 01/11/2024]
Abstract
Human brain development involves an orchestrated, massive neural progenitor expansion while a multi-cellular tissue architecture is established. Continuously expanding organoids can be grown directly from multiple somatic tissues, yet to date, brain organoids can solely be established from pluripotent stem cells. Here, we show that healthy human fetal brain in vitro self-organizes into organoids (FeBOs), phenocopying aspects of in vivo cellular heterogeneity and complex organization. FeBOs can be expanded over long time periods. FeBO growth requires maintenance of tissue integrity, which ensures production of a tissue-like extracellular matrix (ECM) niche, ultimately endowing FeBO expansion. FeBO lines derived from different areas of the central nervous system (CNS), including dorsal and ventral forebrain, preserve their regional identity and allow to probe aspects of positional identity. Using CRISPR-Cas9, we showcase the generation of syngeneic mutant FeBO lines for the study of brain cancer. Taken together, FeBOs constitute a complementary CNS organoid platform.
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Affiliation(s)
- Delilah Hendriks
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands.
| | - Anna Pagliaro
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | | | - Ziliang Ma
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), Immunos, Singapore 138648, Singapore; Department of Pharmacy, National University of Singapore, Singapore 117543, Singapore
| | - Joey van Giessen
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Simone Massalini
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Carmen López-Iglesias
- The Maastricht Multimodal Molecular Imaging Institute, Maastricht University, Maastricht, the Netherlands
| | - Gijs J F van Son
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands
| | - Jeff DeMartino
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - J Mirjam A Damen
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Iris Zoutendijk
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands
| | - Nadzeya Staliarova
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands
| | - Annelien L Bredenoord
- Erasmus School of Philosophy, Erasmus University Rotterdam, Rotterdam, the Netherlands
| | - Frank C P Holstege
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Center for Molecular Medicine, University Medical Center Utrecht and Utrecht University, Utrecht, the Netherlands
| | - Peter J Peters
- The Maastricht Multimodal Molecular Imaging Institute, Maastricht University, Maastricht, the Netherlands
| | | | | | - Wei Wu
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands; Singapore Immunology Network (SIgN), Agency for Science, Technology and Research (A(∗)STAR), Immunos, Singapore 138648, Singapore; Department of Pharmacy, National University of Singapore, Singapore 117543, Singapore
| | - Hans Clevers
- Princess Máxima Center for Pediatric Oncology, Utrecht, the Netherlands; Hubrecht Institute, Royal Netherlands Academy of Arts and Sciences (KNAW), Utrecht, the Netherlands; Oncode Institute, Utrecht, the Netherlands.
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19
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Barresi M, Hickmott RA, Bosakhar A, Quezada S, Quigley A, Kawasaki H, Walker D, Tolcos M. Toward a better understanding of how a gyrified brain develops. Cereb Cortex 2024; 34:bhae055. [PMID: 38425213 DOI: 10.1093/cercor/bhae055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 03/02/2024] Open
Abstract
The size and shape of the cerebral cortex have changed dramatically across evolution. For some species, the cortex remains smooth (lissencephalic) throughout their lifetime, while for other species, including humans and other primates, the cortex increases substantially in size and becomes folded (gyrencephalic). A folded cortex boasts substantially increased surface area, cortical thickness, and neuronal density, and it is therefore associated with higher-order cognitive abilities. The mechanisms that drive gyrification in some species, while others remain lissencephalic despite many shared neurodevelopmental features, have been a topic of investigation for many decades, giving rise to multiple perspectives of how the gyrified cerebral cortex acquires its unique shape. Recently, a structurally unique germinal layer, known as the outer subventricular zone, and the specialized cell type that populates it, called basal radial glial cells, were identified, and these have been shown to be indispensable for cortical expansion and folding. Transcriptional analyses and gene manipulation models have provided an invaluable insight into many of the key cellular and genetic drivers of gyrification. However, the degree to which certain biomechanical, genetic, and cellular processes drive gyrification remains under investigation. This review considers the key aspects of cerebral expansion and folding that have been identified to date and how theories of gyrification have evolved to incorporate this new knowledge.
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Affiliation(s)
- Mikaela Barresi
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
| | - Ryan Alexander Hickmott
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
| | - Abdulhameed Bosakhar
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Sebastian Quezada
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Anita Quigley
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
- ACMD, St Vincent's Hospital Melbourne, Regent Street, Fitzroy, VIC 3065, Australia
- School of Engineering, RMIT University, La Trobe Street, Melbourne, VIC 3000, Australia
- Department of Medicine, University of Melbourne, St Vincent's Hospital, Regent Street, Fitzroy, VIC 3065, Australia
| | - Hiroshi Kawasaki
- Department of Medical Neuroscience, Graduate School of Medical Sciences, Kanazawa University, Takara-machi 13-1, Kanazawa, Ishikawa 920-8640, Japan
| | - David Walker
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
| | - Mary Tolcos
- School of Health and Biomedical Sciences, RMIT University, Plenty Road, Bundoora, VIC 3083, Australia
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20
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Patel D, Shetty S, Acha C, Pantoja IEM, Zhao A, George D, Gracias DH. Microinstrumentation for Brain Organoids. Adv Healthc Mater 2024:e2302456. [PMID: 38217546 DOI: 10.1002/adhm.202302456] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 12/10/2023] [Indexed: 01/15/2024]
Abstract
Brain organoids are three-dimensional aggregates of self-organized differentiated stem cells that mimic the structure and function of human brain regions. Organoids bridge the gaps between conventional drug screening models such as planar mammalian cell culture, animal studies, and clinical trials. They can revolutionize the fields of developmental biology, neuroscience, toxicology, and computer engineering. Conventional microinstrumentation for conventional cellular engineering, such as planar microfluidic chips; microelectrode arrays (MEAs); and optical, magnetic, and acoustic techniques, has limitations when applied to three-dimensional (3D) organoids, primarily due to their limits with inherently two-dimensional geometry and interfacing. Hence, there is an urgent need to develop new instrumentation compatible with live cell culture techniques and with scalable 3D formats relevant to organoids. This review discusses conventional planar approaches and emerging 3D microinstrumentation necessary for advanced organoid-machine interfaces. Specifically, this article surveys recently developed microinstrumentation, including 3D printed and curved microfluidics, 3D and fast-scan optical techniques, buckling and self-folding MEAs, 3D interfaces for electrochemical measurements, and 3D spatially controllable magnetic and acoustic technologies relevant to two-way information transfer with brain organoids. This article highlights key challenges that must be addressed for robust organoid culture and reliable 3D spatiotemporal information transfer.
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Affiliation(s)
- Devan Patel
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Saniya Shetty
- Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Chris Acha
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Itzy E Morales Pantoja
- Center for Alternatives to Animal Testing (CAAT), Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, 21205, USA
| | - Alice Zhao
- Department of Biology, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - Derosh George
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
| | - David H Gracias
- Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Chemistry, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Materials Science and Engineering, Johns Hopkins University, Baltimore, MD, 21218, USA
- Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Laboratory for Computational Sensing and Robotics (LCSR), Johns Hopkins University, Baltimore, MD, 21218, USA
- Sidney Kimmel Comprehensive Cancer Center (SKCCC), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
- Center for MicroPhysiological Systems (MPS), Johns Hopkins School of Medicine, Baltimore, MD, 21205, USA
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21
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Rodriguez Rivera PJ, Liang H, Isaiah A, Cloak CC, Menken MS, Ryan MC, Ernst T, Chang L. Prenatal tobacco exposure on brain morphometry partially mediated poor cognitive performance in preadolescent children. NEUROIMMUNE PHARMACOLOGY AND THERAPEUTICS 2023; 2:375-386. [PMID: 38058999 PMCID: PMC10696570 DOI: 10.1515/nipt-2023-0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 06/30/2023] [Indexed: 12/08/2023]
Abstract
Objectives To evaluate whether prenatal tobacco exposure (PTE) is related to poorer cognitive performance, abnormal brain morphometry, and whether poor cognitive performance is mediated by PTE-related structural brain differences. Methods The Adolescent Brain Cognitive Development study dataset was used to compare structural MRI data and neurocognitive (NIH Toolbox®) scores in 9-to-10-year-old children with (n=620) and without PTE (n=10,989). We also evaluated whether PTE effects on brain morphometry mediated PTE effects on neurocognitive scores. Group effects were evaluated using Linear Mixed Models, covaried for socio-demographics and prenatal exposures to alcohol and/or marijuana, and corrected for multiple comparisons using the false-discovery rate (FDR). Results Compared to unexposed children, those with PTE had poorer performance (all p-values <0.05) on executive function, working memory, episodic memory, reading decoding, crystallized intelligence, fluid intelligence and overall cognition. Exposed children also had thinner parahippocampal gyri, smaller surface areas in the posterior-cingulate and pericalcarine cortices; the lingual and inferior parietal gyri, and smaller thalamic volumes (all p-values <0.001). Furthermore, among children with PTE, girls had smaller surface areas in the superior-frontal (interaction-FDR-p=0.01), precuneus (interaction-FDR-p=0.03) and postcentral gyri (interaction-FDR-p=0.02), while boys had smaller putamen volumes (interaction-FDR-p=0.02). Smaller surface areas across regions of the frontal and parietal lobes, and lower thalamic volumes, partially mediated the associations between PTE and poorer neurocognitive scores (p-values <0.001). Conclusions Our findings suggest PTE may lead to poorer cognitive performance and abnormal brain morphometry, with sex-specific effects in some brain regions, in pre-adolescent children. The poor cognition in children with PTE may result from the smaller areas and subcortical brain volumes.
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Affiliation(s)
- Pedro J. Rodriguez Rivera
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Huajun Liang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Amal Isaiah
- Department of Otorhinolaryngology-Head and Neck Surgery, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Christine C. Cloak
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Miriam S. Menken
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Meghann C. Ryan
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Thomas Ernst
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Linda Chang
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neurology, University of Maryland School of Medicine, Baltimore, MD, USA
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22
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Ortug A, Valli B, Alatorre Warren JL, Shiohama T, van der Kouwe A, Takahashi E. Brain Pathways in LIS1-Associated Lissencephaly Revealed by Diffusion MRI Tractography. Brain Sci 2023; 13:1655. [PMID: 38137102 PMCID: PMC10742067 DOI: 10.3390/brainsci13121655] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Revised: 11/22/2023] [Accepted: 11/25/2023] [Indexed: 12/24/2023] Open
Abstract
Lissencephaly (LIS) is a rare neurodevelopmental disorder with severe symptoms caused by abnormal neuronal migration during cortical development. It is caused by both genetic and non-genetic factors. Despite frequent studies about the cortex, comprehensive elucidation of structural abnormalities and their effects on the white matter is limited. The main objective of this study is to analyze abnormal neuronal migration pathways and white matter fiber organization in LIS1-associated LIS using diffusion MRI (dMRI) tractography. For this purpose, slabs of brain specimens with LIS (n = 3) and age and sex-matched controls (n = 4) were scanned with 3T dMRI. Our high-resolution ex vivo dMRI successfully identified common abnormalities across the samples. The results revealed an abnormal increase in radially oriented subcortical fibers likely associated with radial migration pathways and u-fibers and a decrease in association fibers in all LIS specimens.
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Affiliation(s)
- Alpen Ortug
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA; (A.O.)
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
| | - Briana Valli
- Department of Behavioral Neuroscience, Northeastern University, Boston, MA 02115, USA
| | - José Luis Alatorre Warren
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA; (A.O.)
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
| | - Tadashi Shiohama
- Department of Pediatrics, Graduate School of Medicine, Chiba University, Chiba 260-8677, Japan
| | - Andre van der Kouwe
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA; (A.O.)
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
| | - Emi Takahashi
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, MA 02129, USA; (A.O.)
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
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23
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Cao Y, Hu D, Cai C, Zhou M, Dai P, Lai Q, Zhang L, Fan Y, Gao Z. Modeling early human cortical development and evaluating neurotoxicity with a forebrain organoid system. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2023; 337:122624. [PMID: 37757934 DOI: 10.1016/j.envpol.2023.122624] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 09/05/2023] [Accepted: 09/25/2023] [Indexed: 09/29/2023]
Abstract
The complexity and subtlety of brain development renders it challenging to examine effects of environmental toxicants on human fetal brain development. Advances in pluripotent cell-derived organoid systems open up novel avenues for human development, disease and toxicity modeling. Here, we have established a forebrain organoid system and recapitulated early human cortical development spatiotemporally including neuroepithelium induction, apical-basal axis formation, neural progenitor proliferation and maintenance, neuronal differentiation and layer/region patterning. To explore whether this forebrain organoid system is suitable for neurotoxicity modeling, we subjected the organoids to bisphenol A (BPA), a common environmental toxicant of global presence and high epidemic significance. BPA exposure caused substantial abnormalities in key cortical developmental events, inhibited progenitor cell proliferation and promoted precocious neuronal differentiation, leading premature progenitor cell depletion and aberrant cortical layer patterning and structural organization. Consistent with an antagonistic mechanism between thyroid hormone and BPA, T3 supplementation attenuated BPA-mediated cortical developmental abnormalities. Altogether, our in vitro recapitulation of cortical development with forebrain organoids provides a paradigm for efficient neural development and toxicity modeling and related remedy testing/screening.
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Affiliation(s)
- Yuanqing Cao
- Fudamental Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200065, China; Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 201613, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, China
| | - Daiyu Hu
- Fudamental Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200065, China; Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 201613, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, China
| | - Chenglin Cai
- Fudamental Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200065, China; Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 201613, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, China
| | - Min Zhou
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 201613, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, China
| | - Peibing Dai
- Fudamental Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200065, China
| | - Qiong Lai
- Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 201613, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, China
| | - Ling Zhang
- Fudamental Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200065, China
| | - Yantao Fan
- Fudamental Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200065, China; Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 201613, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, China
| | - Zhengliang Gao
- Fudamental Research Center, Shanghai YangZhi Rehabilitation Hospital (Shanghai Sunshine Rehabilitation Center), School of Medicine, Tongji University, Shanghai, 200065, China; Institute of Geriatrics (Shanghai University), Affiliated Nantong Hospital of Shanghai University (The Sixth People's Hospital of Nantong), School of Medicine, Shanghai University, Nantong, 201613, China; Shanghai Engineering Research Center of Organ Repair, School of Medicine, Shanghai University, Shanghai, 200444, China.
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24
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Huang J, Chen G, Han T, Yi C, Zhang Y, Ding L, Sun T, Jin T, Zhou S. Ultrafast and facile construction of programmable, multidimensional wrinkled-patterned polyacrylamide/sodium alginate hydrogels for human skin-like tactile perception. Carbohydr Polym 2023; 319:121196. [PMID: 37567723 DOI: 10.1016/j.carbpol.2023.121196] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2023] [Revised: 07/04/2023] [Accepted: 07/10/2023] [Indexed: 08/13/2023]
Abstract
Customizable structures and patterns are becoming powerful tools for biomimetic design and application of soft materials. The construction of long-range ordered self-wrinkled structures on multi-dimensional and complex-shaped surfaces with facile, fast and efficient strategies still faces serious challenges. During the stretch-recovery process, the carboxyl groups in the polyacrylamide/sodium alginate dual network gel form robust coordination with Fe3+ to achieve a hard shell layer, resulting in a modulus mismatch between the inner soft layer and the outer hard layer, thereby forming a wrinkled surface. This flexible strategy allows simultaneous construction of complex topologies from 1D to 3D wits well-organized microstructure and controllable dimensions. The mechanism of the influence of ion treating time and pre-stretching ratio on wrinkle wavelength was explored in detail. The finite element simulations matched well with the experimental results. Due to the unique surface and dual crosslinking network, the self-wrinkled hydrogel maintains a high sensitivity of up to 67.47 kPa-1 in 1000 compression cycles. As a high-sensitivity pressure sensor integrated into the detection system, it can be efficiently applied to the contact dynamic tactile perception and monitoring of various movement behaviors of the human body.
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Affiliation(s)
- Jianhua Huang
- College of Chemical Engineering, Nanjing Forestry University, Nanjing 210037, China
| | - Gong Chen
- College of Information Science and Technology, Nanjing Forestry University, Nanjing 210037, China
| | - Tianhang Han
- College of Science, Nanjing Forestry University, Nanjing 210037, China
| | - Chenxin Yi
- College of Science, Nanjing Forestry University, Nanjing 210037, China
| | - Yujia Zhang
- College of Science, Nanjing Forestry University, Nanjing 210037, China
| | - Lang Ding
- College of Science, Nanjing Forestry University, Nanjing 210037, China
| | - Tianshu Sun
- Faculty of Infrastructure Engineering, Dalian University of Technology, Dalian, China
| | - Ting Jin
- College of Science, Nanjing Forestry University, Nanjing 210037, China
| | - Shuai Zhou
- College of Science, Nanjing Forestry University, Nanjing 210037, China.
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25
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Mulligan MR, Bicknell LS. The molecular genetics of nELAVL in brain development and disease. Eur J Hum Genet 2023; 31:1209-1217. [PMID: 37697079 PMCID: PMC10620143 DOI: 10.1038/s41431-023-01456-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/16/2023] [Accepted: 08/30/2023] [Indexed: 09/13/2023] Open
Abstract
Embryonic development requires tight control of gene expression levels, activity, and localisation. This control is coordinated by multiple levels of regulation on DNA, RNA and protein. RNA-binding proteins (RBPs) are recognised as key regulators of post-transcriptional gene regulation, where their binding controls splicing, polyadenylation, nuclear export, mRNA stability, translation rate and decay. In brain development, the ELAVL family of RNA binding proteins undertake essential functions across spatiotemporal windows to help regulate and specify transcriptomic programmes for cell specialisation. Despite their recognised importance in neural tissues, their molecular roles and connections to pathology are less explored. Here we provide an overview of the neuronal ELAVL family, noting commonalities and differences amongst different species, their molecular characteristics, and roles in the cell. We bring together the available molecular genetics evidence to link different ELAVL proteins to phenotypes and disease, in both the brain and beyond, including ELAVL2, which is the least studied ELAVL family member. We find that ELAVL-related pathology shares a common neurological theme, but different ELAVL proteins are more strongly connected to different phenotypes, reflecting their specialised expression across time and space.
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Affiliation(s)
- Meghan R Mulligan
- Department of Biochemistry, University of Otago, Dunedin, New Zealand
| | - Louise S Bicknell
- Department of Biochemistry, University of Otago, Dunedin, New Zealand.
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26
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Huang Y, Zhang T, Zhang S, Zhang W, Yang L, Zhu D, Liu T, Jiang X, Han J, Guo L. Genetic Influence on Gyral Peaks. Neuroimage 2023; 280:120344. [PMID: 37619794 DOI: 10.1016/j.neuroimage.2023.120344] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 08/21/2023] [Indexed: 08/26/2023] Open
Abstract
Genetic mechanisms have been hypothesized to be a major determinant in the formation of cortical folding. Although there is an increasing number of studies examining the heritability of cortical folding, most of them focus on sulcal pits rather than gyral peaks. Gyral peaks, which reflect the highest local foci on gyri and are consistent across individuals, remain unstudied in terms of heritability. To address this knowledge gap, we used high-resolution data from the Human Connectome Project (HCP) to perform classical twin analysis and estimate the heritability of gyral peaks across various brain regions. Our results showed that the heritability of gyral peaks was heterogeneous across different cortical regions, but relatively symmetric between hemispheres. We also found that pits and peaks are different in a variety of anatomic and functional measures. Further, we explored the relationship between the levels of heritability and the formation of cortical folding by utilizing the evolutionary timeline of gyrification. Our findings indicate that the heritability estimates of both gyral peaks and sulcal pits decrease linearly with the evolution timeline of gyrification. This suggests that the cortical folds which formed earlier during gyrification are subject to stronger genetic influences than the later ones. Moreover, the pits and peaks coupled by their time of appearance are also positively correlated in respect of their heritability estimates. These results fill the knowledge gap regarding genetic influences on gyral peaks and significantly advance our understanding of how genetic factors shape the formation of cortical folding. The comparison between peaks and pits suggests that peaks are not a simple morphological mirror of pits but could help complete the understanding of folding patterns.
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Affiliation(s)
- Ying Huang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China; School of Information and Technology, Northwest University, Xi'an 710127, China
| | - Tuo Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China.
| | - Songyao Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Weihan Zhang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Li Yang
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Dajiang Zhu
- Computer Science & Engineering, University of Texas at Arlington, TX 76010, USA
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30602, USA
| | - Xi Jiang
- School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu 610056, China
| | - Junwei Han
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
| | - Lei Guo
- School of Automation, Northwestern Polytechnical University, Xi'an 710129, China
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27
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Moffat A, Schuurmans C. The Control of Cortical Folding: Multiple Mechanisms, Multiple Models. Neuroscientist 2023:10738584231190839. [PMID: 37621149 DOI: 10.1177/10738584231190839] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/26/2023]
Abstract
The cerebral cortex develops through a carefully conscripted series of cellular and molecular events that culminate in the production of highly specialized neuronal and glial cells. During development, cortical neurons and glia acquire a precise cellular arrangement and architecture to support higher-order cognitive functioning. Decades of study using rodent models, naturally gyrencephalic animal models, human pathology specimens, and, recently, human cerebral organoids, reveal that rodents recapitulate some but not all the cellular and molecular features of human cortices. Whereas rodent cortices are smooth-surfaced or lissencephalic, larger mammals, including humans and nonhuman primates, have highly folded/gyrencephalic cortices that accommodate an expansion in neuronal mass and increase in surface area. Several genes have evolved to drive cortical gyrification, arising from gene duplications or de novo origins, or by alterations to the structure/function of ancestral genes or their gene regulatory regions. Primary cortical folds arise in stereotypical locations, prefigured by a molecular "blueprint" that is set up by several signaling pathways (e.g., Notch, Fgf, Wnt, PI3K, Shh) and influenced by the extracellular matrix. Mutations that affect neural progenitor cell proliferation and/or neurogenesis, predominantly of upper-layer neurons, perturb cortical gyrification. Below we review the molecular drivers of cortical folding and their roles in disease.
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Affiliation(s)
- Alexandra Moffat
- Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
| | - Carol Schuurmans
- Sunnybrook Research Institute, Biological Sciences Platform, Toronto, ON, Canada
- Department of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada
- Department of Biochemistry, University of Toronto, Toronto, ON, Canada
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28
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Wang Q, Zhao S, Liu T, Han J, Liu C. Temporal fingerprints of cortical gyrification in marmosets and humans. Cereb Cortex 2023; 33:9802-9814. [PMID: 37434368 PMCID: PMC10656951 DOI: 10.1093/cercor/bhad245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 07/13/2023] Open
Abstract
Recent neuroimaging studies in humans have reported distinct temporal dynamics of gyri and sulci, which may be associated with putative functions of cortical gyrification. However, the complex folding patterns of the human cortex make it difficult to explain temporal patterns of gyrification. In this study, we used the common marmoset as a simplified model to examine the temporal characteristics and compare them with the complex gyrification of humans. Using a brain-inspired deep neural network, we obtained reliable temporal-frequency fingerprints of gyri and sulci from the awake rs-fMRI data of marmosets and humans. Notably, the temporal fingerprints of one region successfully classified the gyrus/sulcus of another region in both marmosets and humans. Additionally, the temporal-frequency fingerprints were remarkably similar in both species. We then analyzed the resulting fingerprints in several domains and adopted the Wavelet Transform Coherence approach to characterize the gyro-sulcal coupling patterns. In both humans and marmosets, sulci exhibited higher frequency bands than gyri, and the two were temporally coupled within the same range of phase angles. This study supports the notion that gyri and sulci possess unique and evolutionarily conserved features that are consistent across functional areas, and advances our understanding of the functional role of cortical gyrification.
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Affiliation(s)
- Qiyu Wang
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
| | - Shijie Zhao
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
- Research & Development Institute of Northwestern Polytechnical University in Shenzhen, Shenzhen 518063, China
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30602, United States
| | - Junwei Han
- School of Automation, Northwestern Polytechnical University, Xi'an 710072, China
| | - Cirong Liu
- CAS Center for Excellence in Brain Science and Intelligence Technology, Institute of Neuroscience, Chinese Academy of Sciences, Shanghai 200031, China
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29
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Chavoshnejad P, Vallejo L, Zhang S, Guo Y, Dai W, Zhang T, Razavi MJ. Mechanical hierarchy in the formation and modulation of cortical folding patterns. Sci Rep 2023; 13:13177. [PMID: 37580340 PMCID: PMC10425471 DOI: 10.1038/s41598-023-40086-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 08/04/2023] [Indexed: 08/16/2023] Open
Abstract
The important mechanical parameters and their hierarchy in the growth and folding of the human brain have not been thoroughly understood. In this study, we developed a multiscale mechanical model to investigate how the interplay between initial geometrical undulations, differential tangential growth in the cortical plate, and axonal connectivity form and regulate the folding patterns of the human brain in a hierarchical order. To do so, different growth scenarios with bilayer spherical models that features initial undulations on the cortex and uniform or heterogeneous distribution of axonal fibers in the white matter were developed, statistically analyzed, and validated by the imaging observations. The results showed that the differential tangential growth is the inducer of cortical folding, and in a hierarchal order, high-amplitude initial undulations on the surface and axonal fibers in the substrate regulate the folding patterns and determine the location of gyri and sulci. The locations with dense axonal fibers after folding settle in gyri rather than sulci. The statistical results also indicated that there is a strong correlation between the location of positive (outward) and negative (inward) initial undulations and the locations of gyri and sulci after folding, respectively. In addition, the locations of 3-hinge gyral folds are strongly correlated with the initial positive undulations and locations of dense axonal fibers. As another finding, it was revealed that there is a correlation between the density of axonal fibers and local gyrification index, which has been observed in imaging studies but not yet fundamentally explained. This study is the first step in understanding the linkage between abnormal gyrification (surface morphology) and disruption in connectivity that has been observed in some brain disorders such as Autism Spectrum Disorder. Moreover, the findings of the study directly contribute to the concept of the regularity and variability of folding patterns in individual human brains.
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Affiliation(s)
- Poorya Chavoshnejad
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA
| | - Liam Vallejo
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA
| | - Songyao Zhang
- Brain Decoding Research Center and School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
| | - Yanchen Guo
- Department of Computer Science, Binghamton University, Binghamton, NY, USA
| | - Weiying Dai
- Department of Computer Science, Binghamton University, Binghamton, NY, USA
| | - Tuo Zhang
- Brain Decoding Research Center and School of Automation, Northwestern Polytechnical University, Xi'an, 710072, Shaanxi, China
| | - Mir Jalil Razavi
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY, 13902, USA.
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30
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Wu X, Li Z, Wang ZQ, Xu X. The neurological and non-neurological roles of the primary microcephaly-associated protein ASPM. Front Neurosci 2023; 17:1242448. [PMID: 37599996 PMCID: PMC10436222 DOI: 10.3389/fnins.2023.1242448] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2023] [Accepted: 07/24/2023] [Indexed: 08/22/2023] Open
Abstract
Primary microcephaly (MCPH), is a neurological disorder characterized by small brain size that results in numerous developmental problems, including intellectual disability, motor and speech delays, and seizures. Hitherto, over 30 MCPH causing genes (MCPHs) have been identified. Among these MCPHs, MCPH5, which encodes abnormal spindle-like microcephaly-associated protein (ASPM), is the most frequently mutated gene. ASPM regulates mitotic events, cell proliferation, replication stress response, DNA repair, and tumorigenesis. Moreover, using a data mining approach, we have confirmed that high levels of expression of ASPM correlate with poor prognosis in several types of tumors. Here, we summarize the neurological and non-neurological functions of ASPM and provide insight into its implications for the diagnosis and treatment of MCPH and cancer.
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Affiliation(s)
- Xingxuan Wu
- Guangdong Key Laboratory for Genome Stability and Disease Prevention and Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, China
- Shenzhen University-Friedrich Schiller Universität Jena Joint PhD Program in Biomedical Sciences, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
- Laboratory of Genome Stability, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany
| | - Zheng Li
- Guangdong Key Laboratory for Genome Stability and Disease Prevention and Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, China
| | - Zhao-Qi Wang
- Shenzhen University-Friedrich Schiller Universität Jena Joint PhD Program in Biomedical Sciences, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
- Laboratory of Genome Stability, Leibniz Institute on Aging-Fritz Lipmann Institute, Jena, Germany
| | - Xingzhi Xu
- Guangdong Key Laboratory for Genome Stability and Disease Prevention and Marshall Laboratory of Biomedical Engineering, Shenzhen University Medical School, Shenzhen, Guangdong, China
- Shenzhen University-Friedrich Schiller Universität Jena Joint PhD Program in Biomedical Sciences, Shenzhen University School of Medicine, Shenzhen, Guangdong, China
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31
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Chavoshnejad P, Chen L, Yu X, Hou J, Filla N, Zhu D, Liu T, Li G, Razavi MJ, Wang X. An integrated finite element method and machine learning algorithm for brain morphology prediction. Cereb Cortex 2023; 33:9354-9366. [PMID: 37288479 PMCID: PMC10393506 DOI: 10.1093/cercor/bhad208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 05/18/2023] [Accepted: 05/19/2023] [Indexed: 06/09/2023] Open
Abstract
The human brain development experiences a complex evolving cortical folding from a smooth surface to a convoluted ensemble of folds. Computational modeling of brain development has played an essential role in better understanding the process of cortical folding, but still leaves many questions to be answered. A major challenge faced by computational models is how to create massive brain developmental simulations with affordable computational sources to complement neuroimaging data and provide reliable predictions for brain folding. In this study, we leveraged the power of machine learning in data augmentation and prediction to develop a machine-learning-based finite element surrogate model to expedite brain computational simulations, predict brain folding morphology, and explore the underlying folding mechanism. To do so, massive finite element method (FEM) mechanical models were run to simulate brain development using the predefined brain patch growth models with adjustable surface curvature. Then, a GAN-based machine learning model was trained and validated with these produced computational data to predict brain folding morphology given a predefined initial configuration. The results indicate that the machine learning models can predict the complex morphology of folding patterns, including 3-hinge gyral folds. The close agreement between the folding patterns observed in FEM results and those predicted by machine learning models validate the feasibility of the proposed approach, offering a promising avenue to predict the brain development with given fetal brain configurations.
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Affiliation(s)
- Poorya Chavoshnejad
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY 13902, United States
| | - Liangjun Chen
- Department of Radiology and BRIC, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Xiaowei Yu
- Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX 76019, United States
| | - Jixin Hou
- School of ECAM, University of Georgia, Athens, GA 30602, United States
| | - Nicholas Filla
- School of ECAM, University of Georgia, Athens, GA 30602, United States
| | - Dajiang Zhu
- Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX 76019, United States
| | - Tianming Liu
- School of Computing, University of Georgia, Athens, GA 30602, United States
| | - Gang Li
- Department of Radiology and BRIC, The University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, United States
| | - Mir Jalil Razavi
- Department of Mechanical Engineering, Binghamton University, Binghamton, NY 13902, United States
| | - Xianqiao Wang
- School of ECAM, University of Georgia, Athens, GA 30602, United States
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32
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Li J, Jiang H, Mu Y, Wei Z, Ma A, Sun M, Zhao J, Zhu C, Chen X. SRSF10 regulates proliferation of neural progenitor cells and affects neurogenesis in developing mouse neocortex. iScience 2023; 26:107042. [PMID: 37360696 PMCID: PMC10285642 DOI: 10.1016/j.isci.2023.107042] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 04/25/2023] [Accepted: 06/01/2023] [Indexed: 06/28/2023] Open
Abstract
Alternative pre-mRNA splicing plays critical roles in brain development. SRSF10 is a splicing factor highly expressed in central nervous system and plays important roles in maintaining normal brain functions. However, its role in neural development is unclear. In this study, by conditional depleting SRSF10 in neural progenitor cells (NPCs) in vivo and in vitro, we found that dysfunction of SRSF10 leads to developmental defects of the brain, which manifest as abnormal ventricle enlargement and cortical thinning anatomically, as well as decreased NPCs proliferation and weakened cortical neurogenesis histologically. Furthermore, we proved that the function of SRSF10 on NPCs proliferation involved the regulation of PI3K-AKT-mTOR-CCND2 pathway and the alternative splicing of Nasp, a gene encoding isoforms of cell cycle regulators. These findings highlight the necessity of SRSF10 in the formation of a structurally and functionally normal brain.
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Affiliation(s)
- Junjie Li
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Hanyang Jiang
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Yawei Mu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Zixuan Wei
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Ankangzhi Ma
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Menghan Sun
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Jingjing Zhao
- Center of Clinical Research, The Affiliated Wuxi People’s Hospital of Nanjing Medical University, Wuxi 214023, PR China
| | - Cuiqing Zhu
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
| | - Xianhua Chen
- State Key Laboratory of Medical Neurobiology and MOE Frontiers Center for Brain Science, Institutes of Brain Science, Fudan University, Shanghai, China
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33
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Hettige NC, Fleming P, Semenak A, Zhang X, Peng H, Hagel MD, Théroux JF, Zhang Y, Ni A, Jefri M, Antonyan L, Alsuwaidi S, Schuppert A, Stumpf PS, Ernst C. FOXG1 targets BMP repressors and cell cycle inhibitors in human neural progenitor cells. Hum Mol Genet 2023; 32:2511-2522. [PMID: 37216650 PMCID: PMC10360395 DOI: 10.1093/hmg/ddad089] [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: 03/16/2023] [Revised: 05/16/2023] [Accepted: 05/17/2023] [Indexed: 05/24/2023] Open
Abstract
FOXG1 is a critical transcription factor in human brain where loss-of-function mutations cause a severe neurodevelopmental disorder, while increased FOXG1 expression is frequently observed in glioblastoma. FOXG1 is an inhibitor of cell patterning and an activator of cell proliferation in chordate model organisms but different mechanisms have been proposed as to how this occurs. To identify genomic targets of FOXG1 in human neural progenitor cells (NPCs), we engineered a cleavable reporter construct in endogenous FOXG1 and performed chromatin immunoprecipitation (ChIP) sequencing. We also performed deep RNA sequencing of NPCs from two females with loss-of-function mutations in FOXG1 and their healthy biological mothers. Integrative analyses of RNA and ChIP sequencing data showed that cell cycle regulation and Bone Morphogenic Protein (BMP) repression gene ontology categories were over-represented as FOXG1 targets. Using engineered brain cell lines, we show that FOXG1 specifically activates SMAD7 and represses CDKN1B. Activation of SMAD7 which inhibits BMP signaling may be one way that FOXG1 patterns the forebrain, while repression of cell cycle regulators such as CDKN1B may be one way that FOXG1 expands the NPC pool to ensure proper brain size. Our data reveal novel mechanisms on how FOXG1 may control forebrain patterning and cell proliferation in human brain development.
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Affiliation(s)
- Nuwan C Hettige
- Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
| | - Peter Fleming
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Amelia Semenak
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Xin Zhang
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
| | - Huashan Peng
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
| | - Marc-Daniel Hagel
- Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen 52074, Germany
| | | | - Ying Zhang
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
| | - Anjie Ni
- Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
| | - Malvin Jefri
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Lilit Antonyan
- Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
| | - Shaima Alsuwaidi
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
| | - Andreas Schuppert
- Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen 52074, Germany
| | - Patrick S Stumpf
- Joint Research Center for Computational Biomedicine, RWTH Aachen University, Aachen 52074, Germany
| | - Carl Ernst
- Department of Human Genetics, McGill University, Montreal, QC H3A 0C7, Canada
- Psychiatric Genetics Group, Montreal, QC H4H 1R3, Canada
- Department of Neurology and Neurosurgery, McGill University, Montreal, QC H3A 2B4, Canada
- Montreal Neurological Institute, McGill University, Montréal, QC H3A 2B4, Canada
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Rivera Alvarez J, Asselin L, Tilly P, Benoit R, Batisse C, Richert L, Batisse J, Morlet B, Levet F, Schwaller N, Mély Y, Ruff M, Reymann AC, Godin JD. The kinesin Kif21b regulates radial migration of cortical projection neurons through a non-canonical function on actin cytoskeleton. Cell Rep 2023; 42:112744. [PMID: 37418324 DOI: 10.1016/j.celrep.2023.112744] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 05/18/2023] [Accepted: 06/19/2023] [Indexed: 07/09/2023] Open
Abstract
Completion of neuronal migration is critical for brain development. Kif21b is a plus-end-directed kinesin motor protein that promotes intracellular transport and controls microtubule dynamics in neurons. Here we report a physiological function of Kif21b during radial migration of projection neurons in the mouse developing cortex. In vivo analysis in mouse and live imaging on cultured slices demonstrate that Kif21b regulates the radial glia-guided locomotion of newborn neurons independently of its motility on microtubules. We show that Kif21b directly binds and regulates the actin cytoskeleton both in vitro and in vivo in migratory neurons. We establish that Kif21b-mediated regulation of actin cytoskeleton dynamics influences branching and nucleokinesis during neuronal locomotion. Altogether, our results reveal atypical roles of Kif21b on the actin cytoskeleton during migration of cortical projection neurons.
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Affiliation(s)
- José Rivera Alvarez
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Laure Asselin
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Peggy Tilly
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Roxane Benoit
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Claire Batisse
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Ludovic Richert
- Université de Strasbourg, 67000 Strasbourg, France; Laboratoire de Bioimagerie et Pathologies, Centre National de la Recherche Scientifique, UMR 7021, 67404 Illkirch, France
| | - Julien Batisse
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Bastien Morlet
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Florian Levet
- University of Bordeaux, CNRS, UMR 5297, Interdisciplinary Institute for Neuroscience, IINS, 33000 Bordeaux, France; University of Bordeaux, CNRS, INSERM, Bordeaux Imaging Center, BIC, UAR 3420, US 4, 33600 Pessac, France
| | - Noémie Schwaller
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Yves Mély
- Université de Strasbourg, 67000 Strasbourg, France; Laboratoire de Bioimagerie et Pathologies, Centre National de la Recherche Scientifique, UMR 7021, 67404 Illkirch, France
| | - Marc Ruff
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Anne-Cécile Reymann
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France
| | - Juliette D Godin
- Institut de Génétique et de Biologie Moléculaire et Cellulaire, IGBMC, 67404 Illkirch, France; Centre National de la Recherche Scientifique, CNRS, UMR7104, 67404 Illkirch, France; Institut National de la Santé et de la Recherche Médicale, INSERM, U1258, 67404 Illkirch, France; Université de Strasbourg, 67000 Strasbourg, France.
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35
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de Sousa Fernandes MS, Badicu G, Santos GCJ, Filgueira TO, Henrique RDS, de Souza RF, Aidar FJ, Souto FO, Brum PC, Lagranha CJ. Physical Exercise Decreases Endoplasmic Reticulum Stress in Central and Peripheral Tissues of Rodents: A Systematic Review. Eur J Investig Health Psychol Educ 2023; 13:1082-1096. [PMID: 37366786 DOI: 10.3390/ejihpe13060082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/14/2023] [Revised: 06/10/2023] [Accepted: 06/17/2023] [Indexed: 06/28/2023] Open
Abstract
Endoplasmic reticulum stress (ER stress) affects many tissues and contributes to the development and severity of chronic diseases. In contrast, regular physical exercise (PE) has been considered a powerful tool to prevent and control several chronic diseases. The present systematic review aimed to evaluate the impact of different PE protocols on ER stress markers in central and peripheral tissues in rodents. The eligibility criteria were based on PICOS (population: rodents; intervention: physical exercise/physical training; control: animals that did not undergo training; outcomes: endoplasmic reticulum stress; studies: experimental). The PubMed/Medline, Science Direct, Scopus, and Scielo databases were analyzed systematically. Quality assessment was performed using SYRCLE's risk of bias tool for animal studies. The results were qualitatively synthesized. Initially, we obtained a total of 2.490 articles. After excluding duplicates, 30 studies were considered eligible. Sixteen studies were excluded for not meeting the eligibility criteria. Therefore, 14 articles were included. The PE protocol showed decreased levels/expression of markers of ER stress in the central and peripheral tissues of rodents. PE can decrease ER stress by reducing cellular stress in the cardiac, brain, and skeletal muscle tissues in rodents. However, robust PE protocols must be considered, including frequency, duration, and intensity, to optimize the PE benefits of counteracting ER stress and its associated conditions.
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Affiliation(s)
- Matheus Santos de Sousa Fernandes
- Graduate Program in Neuropsychiatry and Behavioral Sciences, Center for Medical Sciences, Federal University of Pernambuco, Recife 507400-600, Pernambuco, Brazil
| | - Georgian Badicu
- Department of Physical Education and Special Motricity, Transilvania University of Brasov, 500068 Brasov, Romania
| | | | - Tayrine Ordonio Filgueira
- Graduate Program in Applied Health Biology, Keizo Asami Immunopathology Laboratory, Federal University of Pernambuco, Recife 507400-600, Pernambuco, Brazil
| | - Rafael Dos Santos Henrique
- Department of Physical Education, Federal University of Pernambuco, Recife 507400-600, Pernambuco, Brazil
| | - Raphael Fabrício de Souza
- Department of Physical Education, Federal University of Sergipe, São Cristovão 49100-000, Sergipe, Brazil
| | - Felipe J Aidar
- Department of Physical Education, Federal University of Sergipe, São Cristovão 49100-000, Sergipe, Brazil
| | - Fabrício Oliveira Souto
- Graduate Program in Applied Health Biology, Keizo Asami Immunopathology Laboratory, Federal University of Pernambuco, Recife 507400-600, Pernambuco, Brazil
| | - Patrícia Chakur Brum
- School of Physical Education and Sport, Universidade de São Paulo, São Paulo 05508-900, São Paulo, Brazil
| | - Claudia Jacques Lagranha
- Graduate Program in Neuropsychiatry and Behavioral Sciences, Center for Medical Sciences, Federal University of Pernambuco, Recife 507400-600, Pernambuco, Brazil
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36
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Mallela AN, Deng H, Gholipour A, Warfield SK, Goldschmidt E. Heterogeneous growth of the insula shapes the human brain. Proc Natl Acad Sci U S A 2023; 120:e2220200120. [PMID: 37279278 PMCID: PMC10268209 DOI: 10.1073/pnas.2220200120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2022] [Accepted: 04/13/2023] [Indexed: 06/08/2023] Open
Abstract
The human cerebrum consists of a precise and stereotyped arrangement of lobes, primary gyri, and connectivity that underlies human cognition [P. Rakic, Nat. Rev. Neurosci. 10, 724-735 (2009)]. The development of this arrangement is less clear. Current models explain individual primary gyrification but largely do not account for the global configuration of the cerebral lobes [T. Tallinen, J. Y. Chung, J. S. Biggins, L. Mahadevan, Proc. Natl. Acad. Sci. U.S.A. 111, 12667-12672 (2014) and D. C. Van Essen, Nature 385, 313-318 (1997)]. The insula, buried in the depths of the Sylvian fissure, is unique in terms of gyral anatomy and size. Here, we quantitatively show that the insula has unique morphology and location in the cerebrum and that these key differences emerge during fetal development. Finally, we identify quantitative differences in developmental migration patterns to the insula that may underlie these differences. We calculated morphologic data in the insula and other lobes in adults (N = 107) and in an in utero fetal brain atlas (N = 81 healthy fetuses). In utero, the insula grows an order of magnitude slower than the other lobes and demonstrates shallower sulci, less curvature, and less surface complexity both in adults and progressively throughout fetal development. Spherical projection analysis demonstrates that the lenticular nuclei obstruct 60 to 70% of radial pathways from the ventricular zone (VZ) to the insula, forcing a curved migration to the insula in contrast to a direct radial pathway. Using fetal diffusion tractography, we identify radial glial fascicles that originate from the VZ and curve around the lenticular nuclei to form the insula. These results confirm existing models of radial migration to the cortex and illustrate findings that suggest differential insular and cerebral development, laying the groundwork to understand cerebral malformations and insular function and pathologies.
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Affiliation(s)
- Arka N. Mallela
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA15213
| | - Hansen Deng
- Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, PA15213
| | - Ali Gholipour
- Department of Radiology, Harvard Medical School, Boston, MA02115
- Department of Radiology, Boston Children’s Hospital, Boston, MA02115
| | - Simon K. Warfield
- Department of Radiology, Harvard Medical School, Boston, MA02115
- Department of Radiology, Boston Children’s Hospital, Boston, MA02115
| | - Ezequiel Goldschmidt
- Department of Radiology, Harvard Medical School, Boston, MA02115
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA94143
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37
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Fernández V, Borrell V. Developmental mechanisms of gyrification. Curr Opin Neurobiol 2023; 80:102711. [DOI: 10.1016/j.conb.2023.102711] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2022] [Revised: 02/09/2023] [Accepted: 02/23/2023] [Indexed: 03/31/2023]
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38
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Zhang S, Zhang T, He Z, Li X, Zhang L, Zhu D, Jiang X, Liu T, Han J, Guo L. Gyral peaks and patterns in human brains. Cereb Cortex 2023; 33:6708-6722. [PMID: 36646465 PMCID: PMC10422926 DOI: 10.1093/cercor/bhac537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 12/19/2022] [Accepted: 12/20/2022] [Indexed: 01/18/2023] Open
Abstract
Cortical folding patterns are related to brain function, cognition, and behavior. Since the relationship has not been fully explained on a coarse scale, many efforts have been devoted to the identification of finer grained cortical landmarks, such as sulcal pits and gyral peaks, which were found to remain invariant across subjects and ages and the invariance may be related to gene mediated proto-map. However, gyral peaks were only investigated on macaque monkey brains, but not on human brains where the investigation is challenged due to high inter-individual variabilities. To this end, in this work, we successfully identified 96 gyral peaks both on the left and right hemispheres of human brains, respectively. These peaks are spatially consistent across individuals. Higher or sharper peaks are more consistent across subjects. Both structural and functional graph metrics of peaks are significantly different from other cortical regions, and more importantly, these nodal graph metrics are anti-correlated with the spatial consistency metrics within peaks. In addition, the distribution of peaks and various cortical anatomical, structural/functional connective features show hemispheric symmetry. These findings provide new clues to understanding the cortical landmarks, as well as their relationship with brain functions, cognition, behavior in both healthy and aberrant brains.
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Affiliation(s)
- Songyao Zhang
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Tuo Zhang
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Zhibin He
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Xiao Li
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwest University, Xi’an, China
| | - Lu Zhang
- Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
| | - Dajiang Zhu
- Department of Computer Science and Engineering, The University of Texas at Arlington, Arlington, TX, United States
| | - Xi Jiang
- School of Automation, School of Information Technology, and School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China
| | - Tianming Liu
- Cortical Architecture Imaging and Discovery Lab, Department of Computer Science and Bioimaging Research Center, The University of Georgia, Athens, GA 30605, United States
| | - Junwei Han
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
| | - Lei Guo
- School of Automation, School of Information Technology, and School of Life Science and Technology, Northwestern Polytechnical University, Xi’an 710000, China
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Pipicelli F, Baumann N, Di Giaimo R, Forero-Echeverry A, Kyrousi C, Bonrath R, Maccarrone G, Jabaudon D, Cappello S. Non-cell-autonomous regulation of interneuron specification mediated by extracellular vesicles. SCIENCE ADVANCES 2023; 9:eadd8164. [PMID: 37205765 DOI: 10.1126/sciadv.add8164] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2022] [Accepted: 04/14/2023] [Indexed: 05/21/2023]
Abstract
Disruption in neurogenesis and neuronal migration can influence the assembly of cortical circuits, affecting the excitatory-inhibitory balance and resulting in neurodevelopmental and neuropsychiatric disorders. Using ventral cerebral organoids and dorsoventral cerebral assembloids with mutations in the extracellular matrix gene LGALS3BP, we show that extracellular vesicles released into the extracellular environment regulate the molecular differentiation of neurons, resulting in alterations in migratory dynamics. To investigate how extracellular vesicles affect neuronal specification and migration dynamics, we collected extracellular vesicles from ventral cerebral organoids carrying a mutation in LGALS3BP, previously identified in individuals with cortical malformations and neuropsychiatric disorders. These results revealed differences in protein composition and changes in dorsoventral patterning. Proteins associated with cell fate decision, neuronal migration, and extracellular matrix composition were altered in mutant extracellular vesicles. Moreover, we show that treatment with extracellular vesicles changes the transcriptomic profile in neural progenitor cells. Our results indicate that neuronal molecular differentiation can be influenced by extracellular vesicles.
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Affiliation(s)
- Fabrizia Pipicelli
- Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry, Munich, Germany
| | - Natalia Baumann
- Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Rossella Di Giaimo
- Max Planck Institute of Psychiatry, Munich, Germany
- Department of Biology, University of Naples Federico II, Naples, Italy
- Biomedical Center (BMC), Ludwig-Maximilians-Universitaet (LMU), Großhaderner Straße 9, 82152 Planegg-Martinsried, Germany
| | - Andrea Forero-Echeverry
- Max Planck Institute of Psychiatry, Munich, Germany
- Biomedical Center (BMC), Ludwig-Maximilians-Universitaet (LMU), Großhaderner Straße 9, 82152 Planegg-Martinsried, Germany
| | | | | | | | - Denis Jabaudon
- Department of Basic Neurosciences, University of Geneva, Geneva, Switzerland
| | - Silvia Cappello
- Max Planck Institute of Psychiatry, Munich, Germany
- Biomedical Center (BMC), Ludwig-Maximilians-Universitaet (LMU), Großhaderner Straße 9, 82152 Planegg-Martinsried, Germany
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40
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de Vareilles H, Rivière D, Mangin JF, Dubois J. Development of cortical folds in the human brain: An attempt to review biological hypotheses, early neuroimaging investigations and functional correlates. Dev Cogn Neurosci 2023; 61:101249. [PMID: 37141790 DOI: 10.1016/j.dcn.2023.101249] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2022] [Revised: 03/28/2023] [Accepted: 04/21/2023] [Indexed: 05/06/2023] Open
Abstract
The folding of the human brain mostly takes place in utero, making it challenging to study. After a few pioneer studies looking into it in post-mortem foetal specimen, modern approaches based on neuroimaging have allowed the community to investigate the folding process in vivo, its normal progression, its early disturbances, and its relationship to later functional outcomes. In this review article, we aimed to first give an overview of the current hypotheses on the mechanisms governing cortical folding. After describing the methodological difficulties raised by its study in fetuses, neonates and infants with magnetic resonance imaging (MRI), we reported our current understanding of sulcal pattern emergence in the developing brain. We then highlighted the functional relevance of early sulcal development, through recent insights about hemispheric asymmetries and early factors influencing this dynamic such as prematurity. Finally, we outlined how longitudinal studies have started to relate early folding markers and the child's sensorimotor and cognitive outcome. Through this review, we hope to raise awareness on the potential of studying early sulcal patterns both from a fundamental and clinical perspective, as a window into early neurodevelopment and plasticity in relation to growth in utero and postnatal environment of the child.
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Affiliation(s)
- H de Vareilles
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France.
| | - D Rivière
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France
| | - J F Mangin
- Université Paris-Saclay, NeuroSpin-BAOBAB, CEA, CNRS, Gif-sur-Yvette, France
| | - J Dubois
- Université Paris Cité, NeuroDiderot, Inserm, Paris, France; Université Paris-Saclay, NeuroSpin-UNIACT, CEA, Gif-sur-Yvette, France
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41
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Bachmann T, Schroeter ML, Chen K, Reiman EM, Weise CM. Longitudinal changes in surface based brain morphometry measures in amnestic mild cognitive impairment and Alzheimer's Disease. Neuroimage Clin 2023; 38:103371. [PMID: 36924681 PMCID: PMC10025277 DOI: 10.1016/j.nicl.2023.103371] [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: 08/04/2022] [Revised: 12/14/2022] [Accepted: 03/06/2023] [Indexed: 03/11/2023]
Abstract
BACKGROUND Alzheimer's disease (AD) is associated with marked brain atrophy. While commonly used structural MRI imaging methods do not account for the complexity of human brain morphology, little is known about the longitudinal changes of cortical geometry and their relationship with cognitive decline in subjects with AD. METHODS Data from the Alzheimer's Disease Neuroimaging Initiative (ADNI) were used to perform two-sample t-tests to investigate longitudinal changes of cortical thickness (CTh) and three surface-based morphometry measures: fractal dimension (i.e. cortical complexity; FD), gyrification index (GI), and sulcal depth (SD) in subjects with AD, amnestic mild cognitive impairment (aMCI) in comparison to cognitively unimpaired controls (CU) in baseline and 2-year follow-up sMRI scans. In addition, correlations of the morphological measures with two-year cognitive decline as assessed by the modified AD Assessment Scale-Cognitive Subscale (ADAS-Cog 11) were calculated via regression analyses. RESULTS Compared to CU, both AD and aMCI showed marked decreases in CTh. In contrast, analyses of FD and GI yielded a more nuanced decline of the respective measures with some areas showing increases in FD and GI. Overall changes in FD and GI were more pronounced in AD as compared to aMCI. Analyses of SD yielded widespread decreases. Interestingly, cognitive decline corresponded well with CTh declines in aMCI but not AD, whereas changes in FD corresponded with AD only but not aMCI, whereas GI and SD were associated with cognitive decline in aMCI and AD. CONCLUSION Patterns of longitudinal changes in FD, GI and SD were only partially overlapping with CTh reductions. In AD, surface-based morphometry measures for brain-surface complexity showed better correspondence than CTh with cognitive decline over a two-year period of time. Being drawn from measures reflecting changes in more intricate aspects of human brain morphology, these data provide new insight into the complexity of AD-related brain atrophy and its relationship with cognitive decline.
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Affiliation(s)
- Tobias Bachmann
- University of Leipzig Medical Center, Department of Neurology, Germany.
| | - Matthias L Schroeter
- Max Planck Institute for Human Cognitive and Brain Sciences, Department of Neurology, Leipzig, Germany; Clinic of Cognitive Neurology, University Hospital Leipzig, Leipzig, Germany
| | - Kewei Chen
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA; School of Mathematics and Statistics (KC), Neurodegenerative Disease Research Center (EMR), Arizona State University, USA; Department of Neurology, College of Medicine - Phoenix (KC), Department of Psychiatry (EMR), University of Arizona, USA
| | - Eric M Reiman
- Banner Alzheimer's Institute, Phoenix, AZ, USA; Arizona Alzheimer's Consortium, Phoenix, AZ, USA; Department of Neurology, College of Medicine - Phoenix (KC), Department of Psychiatry (EMR), University of Arizona, USA; Neurogenomics Division, Translational Genomics Research Institute, University of Arizona, and Arizona State University, Phoenix, AZ, USA; Banner-Arizona State University Neurodegenerative Disease Research Center, BioDesign Institute, Arizona State, University, Tempe, AZ, USA
| | - Christopher M Weise
- University of Leipzig Medical Center, Department of Neurology, Germany; University of Halle Medical Center, Department of Neurology, Germany
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Van der Veeken L, Russo FM, Bleeser T, Basurto D, Emam D, Regin Y, Gsell W, Himmelreich U, De Catte L, Rex S, Deprest J. Brain development is altered in rabbit fetuses with congenital diaphragmatic hernia. Prenat Diagn 2023; 43:359-369. [PMID: 36627261 DOI: 10.1002/pd.6309] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Revised: 11/28/2022] [Accepted: 01/07/2023] [Indexed: 01/12/2023]
Abstract
INTRODUCTION Children with congenital diaphragmatic hernia (CDH) are at risk for neurodevelopmental delay. Some changes are already present prenatally. Herein, we further examined how the brain develops in fetal rabbits with surgically created DH. METHODS Two fetuses underwent surgical DH creation on day 23 (term = d31). DH pups and littermate controls were harvested at term. Ten DH pups and 11 controls underwent transcardial perfusion for brain fixation and measurement of brain volume, brain folding, neuron and synaptic density, pre-oligodendrocyte count, proliferation, and vascularization. Twelve other DH and 11 controls had echocardiographic assessment of cardiac output and aortic and cerebral blood flow, magnetic resonance imaging (9.4 T) for cerebral volumetry, and molecular assessment of vascularization markers. RESULTS DH pups had lower lung-to-body weight ratio (1.3 ± 0.3 vs. 2.4 ± 0.3%; p < 0.0001) and lower heart-to-body weight ratio (0.007 ± 0.001 vs. 0.009 ± 0.001; p = 0.0006) but comparable body weight and brain-to-body weight ratio. DH pups had a lower left ventricular ejection fraction, aortic and cerebral blood flow (39 ± 8 vs. 54 ± 15 mm/beat; p = 0.03) as compared to controls but similar left cardiac ventricular morphology. Fetal DH-brains were similar in volume but the cerebellum was less folded (perimeter/surface area: 25.5 ± 1.5 vs. 26.8 ± 1.2; p = 0.049). Furthermore, DH brains had a thinner cortex (143 ± 9 vs. 156 ± 13 μm; p = 0.02). Neuron densities in the white matter were higher in DH fetuses (124 ± 18 vs. 104 ± 14; p = 0.01) with comparable proliferation rates. Pre-oligodendrocyte count was lower, coinciding with the lower endothelial cell count. CONCLUSION Rabbits with DH had altered brain development compared to controls prenatally, indicating that brain development is already altered prenatally in CDH.
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Affiliation(s)
- Lennart Van der Veeken
- Department of Development and Regeneration, Cluster Woman and Child, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.,Clinical Department Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium.,Clinical Department Obstetrics and Gynaecology, University Hospital Antwerp, Antwerpen, Belgium
| | - Francesca Maria Russo
- Department of Development and Regeneration, Cluster Woman and Child, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.,Clinical Department Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium
| | - Tom Bleeser
- Department of Anesthesiology, University Hospitals Leuven, Leuven, Belgium.,Department of Cardiovascular Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - David Basurto
- Department of Development and Regeneration, Cluster Woman and Child, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Doaa Emam
- Department of Development and Regeneration, Cluster Woman and Child, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.,Department Obstetrics and Gynaecology, University Hospitals Tanta, Tanta, Egypt
| | - Yannick Regin
- Department of Development and Regeneration, Cluster Woman and Child, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Willy Gsell
- Biomedical MRI Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Uwe Himmelreich
- Biomedical MRI Unit, Department of Imaging and Pathology, KU Leuven, Leuven, Belgium
| | - Luc De Catte
- Department of Development and Regeneration, Cluster Woman and Child, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.,Clinical Department Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium
| | - Steffen Rex
- Department of Anesthesiology, University Hospitals Leuven, Leuven, Belgium.,Department of Cardiovascular Sciences, Group Biomedical Sciences, KU Leuven, Leuven, Belgium
| | - Jan Deprest
- Department of Development and Regeneration, Cluster Woman and Child, Group Biomedical Sciences, KU Leuven, Leuven, Belgium.,Clinical Department Obstetrics and Gynaecology, University Hospitals Leuven, Leuven, Belgium.,Institute for Women's Health, University College London, London, UK
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Qi J, Mo F, An NA, Mi T, Wang J, Qi J, Li X, Zhang B, Xia L, Lu Y, Sun G, Wang X, Li C, Hu B. A Human-Specific De Novo Gene Promotes Cortical Expansion and Folding. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2204140. [PMID: 36638273 PMCID: PMC9982566 DOI: 10.1002/advs.202204140] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 12/20/2022] [Indexed: 06/17/2023]
Abstract
Newly originated de novo genes have been linked to the formation and function of the human brain. However, how a specific gene originates from ancestral noncoding DNAs and becomes involved in the preexisting network for functional outcomes remains elusive. Here, a human-specific de novo gene, SP0535, is identified that is preferentially expressed in the ventricular zone of the human fetal brain and plays an important role in cortical development and function. In human embryonic stem cell-derived cortical organoids, knockout of SP0535 compromises their growth and neurogenesis. In SP0535 transgenic (TG) mice, expression of SP0535 induces fetal cortex expansion and sulci and gyri-like structure formation. The progenitors and neurons in the SP0535 TG mouse cortex tend to proliferate and differentiate in ways that are unique to humans. SP0535 TG adult mice also exhibit improved cognitive ability and working memory. Mechanistically, SP0535 interacts with the membrane protein Na+ /K+ ATPase subunit alpha-1 (ATP1A1) and releases Src from the ATP1A1-Src complex, allowing increased level of Src phosphorylation that promotes cell proliferation. Thus, SP0535 is the first proven human-specific de novo gene that promotes cortical expansion and folding, and can function through incorporating into an existing conserved molecular network.
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Affiliation(s)
- Jianhuan Qi
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Fan Mo
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Ni A. An
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Tingwei Mi
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
| | - Jiaxin Wang
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Jun‐Tian Qi
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Xiangshang Li
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Boya Zhang
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
| | - Longkuo Xia
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Yingfei Lu
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Gaoying Sun
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Xinyue Wang
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
| | - Chuan‐Yun Li
- Laboratory of Bioinformatics and Genomic MedicineInstitute of Molecular MedicineCollege of Future TechnologyPeking UniversityBeijing100871China
| | - Baoyang Hu
- State Key Laboratory of Stem Cell and Reproductive BiologyInstitute of ZoologyChinese Academy of SciencesBeijing100101China
- Savaid Medical SchoolUniversity of Chinese Academy of SciencesBeijing100049China
- Institute for Stem Cell and RegenerationChinese Academy of SciencesBeijing100101China
- Beijing Institute for Stem Cell and Regenerative MedicineBeijing100101China
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Yuan F, Li Y, Hu R, Gong M, Chai M, Ma X, Cha J, Guo P, Yang K, Li M, Xu M, Ma Q, Su Q, Zhang C, Sheng Z, Wu H, Wang Y, Yuan W, Bian S, Shao L, Zhang R, Li K, Shao Z, Zhang ZN, Li W. Modeling disrupted synapse formation in wolfram syndrome using hESCs-derived neural cells and cerebral organoids identifies Riluzole as a therapeutic molecule. Mol Psychiatry 2023; 28:1557-1570. [PMID: 36750736 DOI: 10.1038/s41380-023-01987-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Revised: 01/18/2023] [Accepted: 01/30/2023] [Indexed: 02/09/2023]
Abstract
Dysregulated neurite outgrowth and synapse formation underlie many psychiatric disorders, which are also manifested by wolfram syndrome (WS). Whether and how the causative gene WFS1 deficiency affects synapse formation remain elusive. By mirroring human brain development with cerebral organoids, WFS1-deficient cerebral organoids not only recapitulate the neuronal loss in WS patients, but also exhibit significantly impaired synapse formation and function associated with reduced astrocytes. WFS1 deficiency in neurons autonomously delays neuronal differentiation with altered expressions of genes associated with psychiatric disorders, and impairs neurite outgrowth and synapse formation with elevated cytosolic calcium. Intriguingly, WFS1 deficiency in astrocytes decreases the expression of glutamate transporter EAAT2 by NF-κB activation and induces excessive glutamate. When co-cultured with wildtype neurons, WFS1-deficient astrocytes lead to impaired neurite outgrowth and increased cytosolic calcium in neurons. Importantly, disrupted synapse formation and function in WFS1-deficient cerebral organoids and impaired neurite outgrowth affected by WFS1-deficient astrocytes are efficiently reversed with Riluzole treatment, by restoring EAAT2 expression in astrocytes. Furthermore, Riluzole rescues the depressive-like behavior in the forced swimming test and the impaired recognition and spatial memory in the novel object test and water maze test in Wfs1 conditional knockout mice. Altogether, our study provides novel insights into how WFS1 deficiency affects synapse formation and function, and offers a strategy to treat this disease.
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Affiliation(s)
- Fei Yuan
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Yana Li
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.,University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Rui Hu
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Mengting Gong
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Mengyao Chai
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Xuefei Ma
- QuietD Biotechnology, Ltd., Shanghai, 201210, China
| | - Jiaxue Cha
- Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Pan Guo
- Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Kaijiang Yang
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Mushan Li
- Department of Statistics, The Pennsylvania State University, University Park, PA, 16802, USA
| | - Minglu Xu
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Qing Ma
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Qiang Su
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Chuan Zhang
- School of Medicine, Tongji University, Shanghai, 200092, China
| | - Zhejin Sheng
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Heng Wu
- Department of Psychosomatic Medicine, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, 200092, China
| | - Yuan Wang
- Department of Neurology and Department of Neurosurgery, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and National Collaborative Innovation Center, Chengdu, Sichuan, 610041, China
| | - Wen Yuan
- Department of Stem Cell and Regenerative Biology, Harvard University, Cambridge, MA, 02138, USA
| | - Shan Bian
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China.,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China
| | - Li Shao
- Department of VIP Clinic, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200092, China
| | - Ru Zhang
- Shanghai Key Laboratory of Signaling and Disease Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China
| | - Kaicheng Li
- QuietD Biotechnology, Ltd., Shanghai, 201210, China
| | - Zhen Shao
- CAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, 200031, China.
| | - Zhen-Ning Zhang
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China. .,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China.
| | - Weida Li
- Translational Medical Center for Stem Cell Therapy and Institute for Regenerative Medicine, Shanghai East Hospital, Frontier Science Center for Stem Cell Research, School of Life Sciences and Technology, Tongji University, Shanghai, 200092, China. .,Tsingtao Advanced Research Institute, Tongji University, Qingdao, 266071, China. .,Reg-Verse Therapeutics (Shanghai) Co. Ltd., Shanghai, 200120, China.
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Lafferty MJ, Aygün N, Patel NK, Krupa O, Liang D, Wolter JM, Geschwind DH, de la Torre-Ubieta L, Stein JL. MicroRNA-eQTLs in the developing human neocortex link miR-4707-3p expression to brain size. eLife 2023; 12:e79488. [PMID: 36629315 PMCID: PMC9859047 DOI: 10.7554/elife.79488] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 01/10/2023] [Indexed: 01/12/2023] Open
Abstract
Expression quantitative trait loci (eQTL) data have proven important for linking non-coding loci to protein-coding genes. But eQTL studies rarely measure microRNAs (miRNAs), small non-coding RNAs known to play a role in human brain development and neurogenesis. Here, we performed small-RNA sequencing across 212 mid-gestation human neocortical tissue samples, measured 907 expressed miRNAs, discovering 111 of which were novel, and identified 85 local-miRNA-eQTLs. Colocalization of miRNA-eQTLs with GWAS summary statistics yielded one robust colocalization of miR-4707-3p expression with educational attainment and brain size phenotypes, where the miRNA expression increasing allele was associated with decreased brain size. Exogenous expression of miR-4707-3p in primary human neural progenitor cells decreased expression of predicted targets and increased cell proliferation, indicating miR-4707-3p modulates progenitor gene regulation and cell fate decisions. Integrating miRNA-eQTLs with existing GWAS yielded evidence of a miRNA that may influence human brain size and function via modulation of neocortical brain development.
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Affiliation(s)
- Michael J Lafferty
- Department of Genetics, University of North Carolina at Chapel HillChapel HillUnited States
- UNC Neuroscience Center, University of North Carolina at Chapel HillChapel HillUnited States
| | - Nil Aygün
- Department of Genetics, University of North Carolina at Chapel HillChapel HillUnited States
- UNC Neuroscience Center, University of North Carolina at Chapel HillChapel HillUnited States
| | - Niyanta K Patel
- Department of Genetics, University of North Carolina at Chapel HillChapel HillUnited States
- UNC Neuroscience Center, University of North Carolina at Chapel HillChapel HillUnited States
| | - Oleh Krupa
- Department of Genetics, University of North Carolina at Chapel HillChapel HillUnited States
- UNC Neuroscience Center, University of North Carolina at Chapel HillChapel HillUnited States
| | - Dan Liang
- Department of Genetics, University of North Carolina at Chapel HillChapel HillUnited States
- UNC Neuroscience Center, University of North Carolina at Chapel HillChapel HillUnited States
| | - Justin M Wolter
- Department of Genetics, University of North Carolina at Chapel HillChapel HillUnited States
- UNC Neuroscience Center, University of North Carolina at Chapel HillChapel HillUnited States
- Department of Cell Biology and Physiology, The University of North Carolina at Chapel HillChapel HillUnited States
- Carolina Institute for Developmental Disabilities, The University of North Carolina at Chapel HillChapel HillUnited States
| | - Daniel H Geschwind
- Neurogenetics Program, Department of Neurology, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
- Center for Autism Research and Treatment, Semel Institute, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
| | - Luis de la Torre-Ubieta
- Department of Psychiatry and Biobehavioral Sciences, Semel Institute, David Geffen School of Medicine, University of California, Los AngelesLos AngelesUnited States
| | - Jason L Stein
- Department of Genetics, University of North Carolina at Chapel HillChapel HillUnited States
- UNC Neuroscience Center, University of North Carolina at Chapel HillChapel HillUnited States
- Carolina Institute for Developmental Disabilities, The University of North Carolina at Chapel HillChapel HillUnited States
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Xing Y, Zan C, Liu L. Recent advances in understanding neuronal diversity and neural circuit complexity across different brain regions using single-cell sequencing. Front Neural Circuits 2023; 17:1007755. [PMID: 37063385 PMCID: PMC10097998 DOI: 10.3389/fncir.2023.1007755] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2022] [Accepted: 02/16/2023] [Indexed: 04/18/2023] Open
Abstract
Neural circuits are characterized as interconnecting neuron networks connected by synapses. Some kinds of gene expression and/or functional changes of neurons and synaptic connections may result in aberrant neural circuits, which has been recognized as one crucial pathological mechanism for the onset of many neurological diseases. Gradual advances in single-cell sequencing approaches with strong technological advantages, as exemplified by high throughput and increased resolution for live cells, have enabled it to assist us in understanding neuronal diversity across diverse brain regions and further transformed our knowledge of cellular building blocks of neural circuits through revealing numerous molecular signatures. Currently published transcriptomic studies have elucidated various neuronal subpopulations as well as their distribution across prefrontal cortex, hippocampus, hypothalamus, and dorsal root ganglion, etc. Better characterization of brain region-specific circuits may shed light on new pathological mechanisms involved and assist in selecting potential targets for the prevention and treatment of specific neurological disorders based on their established roles. Given diverse neuronal populations across different brain regions, we aim to give a brief sketch of current progress in understanding neuronal diversity and neural circuit complexity according to their locations. With the special focus on the application of single-cell sequencing, we thereby summarize relevant region-specific findings. Considering the importance of spatial context and connectivity in neural circuits, we also discuss a few published results obtained by spatial transcriptomics. Taken together, these single-cell sequencing data may lay a mechanistic basis for functional identification of brain circuit components, which links their molecular signatures to anatomical regions, connectivity, morphology, and physiology. Furthermore, the comprehensive characterization of neuron subtypes, their distributions, and connectivity patterns via single-cell sequencing is critical for understanding neural circuit properties and how they generate region-dependent interactions in different context.
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Affiliation(s)
- Yu Xing
- Department of Neurology, Beidahuang Industry Group General Hospital, Harbin, China
| | - Chunfang Zan
- Institute for Stroke and Dementia Research (ISD), LMU Klinikum, Ludwig-Maximilian-University (LMU), Munich, Germany
| | - Lu Liu
- Munich Medical Research School (MMRS), LMU Klinikum, Ludwig-Maximilian-University (LMU), Munich, Germany
- *Correspondence: Lu Liu, ,
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Zhu Z, Huang T, Zhen Z, Wang B, Wu X, Li S. From sMRI to task-fMRI: A unified geometric deep learning framework for cross-modal brain anatomo-functional mapping. Med Image Anal 2023; 83:102681. [PMID: 36459804 DOI: 10.1016/j.media.2022.102681] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2021] [Revised: 07/28/2022] [Accepted: 11/02/2022] [Indexed: 11/09/2022]
Abstract
Achieving predictions of brain functional activation patterns/task-fMRI maps from its underlying anatomy is an important yet challenging problem. Once successful, it will not only open up new ways to understand how brain anatomy influences functional organization of the brain, but also provide new technical support for the clinical use of anatomical information to guide the localization of cortical functional areas. However, due to the non-Euclidean complex architecture of brain anatomy and the inherent low signal-to-noise ratio (SNR) properties of fMRI signals, the key challenge in building such a cross-modal brain anatomo-functional mapping is how to effectively learn the context-aware information of brain anatomy and overcome the interference of noise-containing task-fMRI labels on the learning process. In this work, we propose a Unified Geometric Deep Learning framework (BrainUGDL) to perform the cross-modal brain anatomo-functional mapping task. Considering that both global and local structures of brain anatomy have an impact on brain functions from their respective perspectives, we innovatively propose the novel Global Graph Encoding (GGE) unit and Local Graph Attention (LGA) unit embedded into two parallel branches, focusing on learning the high-level global and local context information, respectively. Specifically, GGE learns the global context information of each mesh vertex by building and encoding global interactions, and LGA learns the local context information of each mesh vertex by selectively aggregating patch structure enhanced features from its spatial neighbors. The information learnt from the two branches is then fused to form a comprehensive representation of brain anatomical features for final brain function predictions. To address the inevitable measurement noise in task-fMRI labels, we further elaborate a novel uncertainty-filtered learning mechanism, which enables BrainUGDL to realize revised learning from the noise-containing labels through the estimated uncertainty. Experiments across seven open task-fMRI datasets from human connectome project (HCP) demonstrate the superiority of BrainUGDL. To our best knowledge, our proposed BrainUGDL is the first to achieve the prediction of individual task-fMRI maps solely based on brain sMRI data.
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Affiliation(s)
- Zhiyuan Zhu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China; Engineering Research Center of Intelligent Technology and Educational Application (Beijing Normal University), Ministry of Education, Beijing, China
| | - Taicheng Huang
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Zonglei Zhen
- Faculty of Psychology, Beijing Normal University, Beijing, China
| | - Boyu Wang
- Department of Computer Science, Western University, ON, Canada
| | - Xia Wu
- School of Artificial Intelligence, Beijing Normal University, Beijing, China; Engineering Research Center of Intelligent Technology and Educational Application (Beijing Normal University), Ministry of Education, Beijing, China.
| | - Shuo Li
- Department of Computer and Data Science, Case Western Reserve University, Ohio, USA; Department of Biomedical Engineering, Case Western Reserve University, Ohio, USA
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Zhao J, Feng C, Wang W, Su L, Jiao J. Human SERPINA3 induces neocortical folding and improves cognitive ability in mice. Cell Discov 2022; 8:124. [DOI: 10.1038/s41421-022-00469-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2022] [Accepted: 09/13/2022] [Indexed: 11/23/2022] Open
Abstract
AbstractNeocortex expansion and folding are related to human intelligence and cognition, but the molecular and cellular mechanisms underlying cortical folding remain poorly understood. Here, we report that the human gene SERPINA3 is linked to gyrification. Specifically, the overexpression of SERPINA3 induced neocortical folding, increased the abundance of neurons, and improved cognitive abilities. Further, SERPINA3 promoted proliferation of the outer radial glia (oRG, also referred to as the basal radial glia) and increased the number of upper-layer neurons. The downstream target Glo1 was determined to be involved in SERPINA3-induced gyrification. Moreover, SERPINA3 increased the proliferation of oRG by binding to the Glo1 promoter. Assessment of behavior performance showed enhanced cognitive abilities in SERPINA3 knock-in mice. Our findings will enrich the understanding of neocortical expansion and gyrification and provide insights into possible treatments for intellectual disability and lissencephaly syndrome.
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Duński E, Pękowska A. Keeping the balance: Trade-offs between human brain evolution, autism, and schizophrenia. Front Genet 2022; 13:1009390. [DOI: 10.3389/fgene.2022.1009390] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Accepted: 10/12/2022] [Indexed: 11/22/2022] Open
Abstract
The unique qualities of the human brain are a product of a complex evolutionary process. Evolution, famously described by François Jacob as a “tinkerer,” builds upon existing genetic elements by modifying and repurposing them for new functions. Genetic changes in DNA may lead to the emergence of new genes or cause altered gene expression patterns. Both gene and regulatory element mutations may lead to new functions. Yet, this process may lead to side-effects. An evolutionary trade-off occurs when an otherwise beneficial change, which is important for evolutionary success and is under strong positive selection, concurrently results in a detrimental change in another trait. Pleiotropy occurs when a gene affects multiple traits. Antagonistic pleiotropy is a phenomenon whereby a genetic variant leads to an increase in fitness at one life-stage or in a specific environment, but simultaneously decreases fitness in another respect. Therefore, it is conceivable that the molecular underpinnings of evolution of highly complex traits, including brain size or cognitive ability, under certain conditions could result in deleterious effects, which would increase the susceptibility to psychiatric or neurodevelopmental diseases. Here, we discuss possible trade-offs and antagonistic pleiotropies between evolutionary change in a gene sequence, dosage or activity and the susceptibility of individuals to autism spectrum disorders and schizophrenia. We present current knowledge about genes and alterations in gene regulatory landscapes, which have likely played a role in establishing human-specific traits and have been implicated in those diseases.
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Fischer J, Fernández Ortuño E, Marsoner F, Artioli A, Peters J, Namba T, Eugster Oegema C, Huttner WB, Ladewig J, Heide M. Human-specific ARHGAP11B ensures human-like basal progenitor levels in hominid cerebral organoids. EMBO Rep 2022; 23:e54728. [PMID: 36098218 PMCID: PMC9646322 DOI: 10.15252/embr.202254728] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Revised: 08/18/2022] [Accepted: 08/23/2022] [Indexed: 02/06/2023] Open
Abstract
The human-specific gene ARHGAP11B has been implicated in human neocortex expansion. However, the extent of ARHGAP11B's contribution to this expansion during hominid evolution is unknown. Here we address this issue by genetic manipulation of ARHGAP11B levels and function in chimpanzee and human cerebral organoids. ARHGAP11B expression in chimpanzee cerebral organoids doubles basal progenitor levels, the class of cortical progenitors with a key role in neocortex expansion. Conversely, interference with ARHGAP11B's function in human cerebral organoids decreases basal progenitors down to the chimpanzee level. Moreover, ARHGAP11A or ARHGAP11B rescue experiments in ARHGAP11A plus ARHGAP11B double-knockout human forebrain organoids indicate that lack of ARHGAP11B, but not of ARHGAP11A, decreases the abundance of basal radial glia-the basal progenitor type thought to be of particular relevance for neocortex expansion. Taken together, our findings demonstrate that ARHGAP11B is necessary and sufficient to ensure the elevated basal progenitor levels that characterize the fetal human neocortex, suggesting that this human-specific gene was a major contributor to neocortex expansion during human evolution.
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Affiliation(s)
- Jan Fischer
- Max Planck Institute of Molecular Cell Biology and GeneticsPfotenhauerstrasse 108DresdenGermany
- Present address:
Institute for Clinical GeneticsUniversity Hospital Carl Gustav CarusDresdenGermany
| | | | - Fabio Marsoner
- Central Institute of Mental HealthUniversity of Heidelberg/Medical Faculty MannheimMannheimGermany
- Hector Institute for Translational Brain Research (HITBR gGmbH)MannheimGermany
- German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Annasara Artioli
- Central Institute of Mental HealthUniversity of Heidelberg/Medical Faculty MannheimMannheimGermany
- Hector Institute for Translational Brain Research (HITBR gGmbH)MannheimGermany
- German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Jula Peters
- Max Planck Institute of Molecular Cell Biology and GeneticsPfotenhauerstrasse 108DresdenGermany
| | - Takashi Namba
- Max Planck Institute of Molecular Cell Biology and GeneticsPfotenhauerstrasse 108DresdenGermany
- Present address:
Neuroscience Center, HiLIFE ‐ Helsinki Institute of Life ScienceUniversity of HelsinkiHelsinkiFinland
| | | | - Wieland B. Huttner
- Max Planck Institute of Molecular Cell Biology and GeneticsPfotenhauerstrasse 108DresdenGermany
| | - Julia Ladewig
- Central Institute of Mental HealthUniversity of Heidelberg/Medical Faculty MannheimMannheimGermany
- Hector Institute for Translational Brain Research (HITBR gGmbH)MannheimGermany
- German Cancer Research Center (DKFZ)HeidelbergGermany
| | - Michael Heide
- Max Planck Institute of Molecular Cell Biology and GeneticsPfotenhauerstrasse 108DresdenGermany
- German Primate CenterLeibniz Institute for Primate ResearchGöttingenGermany
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