1
|
Elorriaga V, Bouloudi B, Delberghe E, Saillour Y, Morel JS, Azzam P, Moreau MX, Stottmann R, Bahi-Buisson N, Pierani A, Spassky N, Causeret F. Differential contribution of P73+ Cajal-Retzius cells and Reelin to cortical morphogenesis. Development 2025; 152:dev204451. [PMID: 40207459 DOI: 10.1242/dev.204451] [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: 10/15/2024] [Accepted: 04/01/2025] [Indexed: 04/11/2025]
Abstract
Cajal-Retzius cells (CRs) are peculiar neurons in the developing mammalian cerebral cortex. They robustly secrete Reln, a glycoprotein essential for the establishment of cortical layers through the control of radial migration. We previously identified Gmnc as a crucial fate determinant for P73+ CR subtypes. In Gmnc-/- mutants, P73+ CRs are initially produced and cover the telencephalic vesicle but undergo massive apoptosis resulting in their complete depletion at mid-corticogenesis. Here, we investigated the consequences of such a CR depletion on dorsal cortex lamination and hippocampal morphogenesis. We found that preplate splitting normally occurs in Gmnc-/- mutants but is followed by defective radial migration arrest in the dorsal cortex, an altered cellular organization in the lateral cortex, aberrant hippocampal CA1 folding and lack of vasculature development in the hippocampal fissure. We then performed conditional Reln deletion in P73+ CRs to evaluate its relative contribution and found that only radial migration defects were recapitulated. We concluded that at mid-corticogenesis, CR-derived Reln is required for radial migration arrest and additionally identified Reln-independent functions for CRs in the control of hippocampal fissure formation and CA1 folding.
Collapse
Affiliation(s)
- Vicente Elorriaga
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Benoît Bouloudi
- Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 75005 Paris, France
| | - Elodie Delberghe
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Yoann Saillour
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Juliette S Morel
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Patrick Azzam
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Matthieu X Moreau
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Rolf Stottmann
- Steve and Cindy Rasmussen Institute for Genomic Medicine, Abigail Wexner Research Institute, Nationwide Children's Hospital, Columbus, OH 43205, USA
- Department of Pediatrics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Nadia Bahi-Buisson
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Alessandra Pierani
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| | - Nathalie Spassky
- Institut de Biologie de l'Ecole Normale Supérieure (IBENS), Ecole Normale Supérieure, CNRS, INSERM, Université PSL, 75005 Paris, France
| | - Frédéric Causeret
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, F-75014 Paris, France
- Université Paris Cité, Imagine Institute, Team Genetics and Development of the Cerebral Cortex, F-75015 Paris, France
| |
Collapse
|
2
|
Gutiérrez-Ibáñez C, Němec P, Paré M, Wylie DR, Lefebvre L. How do big brains evolve? Trends Ecol Evol 2025:S0169-5347(25)00063-1. [PMID: 40251059 DOI: 10.1016/j.tree.2025.03.008] [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: 10/02/2024] [Revised: 03/17/2025] [Accepted: 03/21/2025] [Indexed: 04/20/2025]
Abstract
In both birds and mammals, variation in brain size predominantly reflects variation in mass or volume of the pallium (neocortex) and, to a lesser extent, of the cerebellum, suggesting convergent coevolution of brains and cognition. When brain measures are based on neuron counts, however, a surprisingly different picture emerges: The number of neurons in the cerebellum surpasses those in the pallium of all mammals (including humans and other primates) and in many but not all birds studied to date. In particular, parrots and corvids, clades known for cognitive abilities that match those of primates, have brains that contain more pallial than cerebellar neurons. Birds and mammals may thus have followed different evolutionary routes of pallial-cerebellar coordination behind enhanced cognitive complexity.
Collapse
Affiliation(s)
| | - Pavel Němec
- Department of Zoology, Faculty of Science, Charles University, Prague, Czech Republic
| | - Martin Paré
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Douglas R Wylie
- Department of Biological Sciences, University of Alberta, Edmonton, AB, Canada
| | - Louis Lefebvre
- Department of Biology, McGill University, Montréal, QC, Canada; CREAF, Autonomous University of Barcelona, Catalonia, Spain.
| |
Collapse
|
3
|
Hecker N, Kempynck N, Mauduit D, Abaffyová D, Vandepoel R, Dieltiens S, Borm L, Sarropoulos I, González-Blas CB, De Man J, Davie K, Leysen E, Vandensteen J, Moors R, Hulselmans G, Lim L, De Wit J, Christiaens V, Poovathingal S, Aerts S. Enhancer-driven cell type comparison reveals similarities between the mammalian and bird pallium. Science 2025; 387:eadp3957. [PMID: 39946451 DOI: 10.1126/science.adp3957] [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: 03/27/2024] [Accepted: 11/26/2024] [Indexed: 04/23/2025]
Abstract
Combinations of transcription factors govern the identity of cell types, which is reflected by genomic enhancer codes. We used deep learning to characterize these enhancer codes and devised three metrics to compare cell types in the telencephalon across amniotes. To this end, we generated single-cell multiome and spatially resolved transcriptomics data of the chicken telencephalon. Enhancer codes of orthologous nonneuronal and γ-aminobutyric acid-mediated (GABAergic) cell types show a high degree of similarity across amniotes, whereas excitatory neurons of the mammalian neocortex and avian pallium exhibit varying degrees of similarity. Enhancer codes of avian mesopallial neurons are most similar to those of mammalian deep-layer neurons. With this study, we present generally applicable deep learning approaches to characterize and compare cell types on the basis of genomic regulatory sequences.
Collapse
Affiliation(s)
- Nikolai Hecker
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Niklas Kempynck
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - David Mauduit
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Darina Abaffyová
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Roel Vandepoel
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Sam Dieltiens
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Lars Borm
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Ioannis Sarropoulos
- Center for Molecular Biology of Heidelberg University, Heidelberg University, Heidelberg, Germany
| | - Carmen Bravo González-Blas
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Julie De Man
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Kristofer Davie
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Elke Leysen
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Jeroen Vandensteen
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Rani Moors
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Gert Hulselmans
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | - Lynette Lim
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Joris De Wit
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Neurosciences, KU Leuven, Leuven, Belgium
| | - Valerie Christiaens
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| | | | - Stein Aerts
- Laboratory of Computational Biology, VIB Center for AI & Computational Biology, Leuven, Belgium
- VIB-KU Leuven Center for Brain & Disease Research, Leuven, Belgium
- Department of Human Genetics, KU Leuven, Leuven, Belgium
| |
Collapse
|