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Yu H, Liu Y, Xu F, Fu Y, Yang M, Ding L, Wu Y, Tang F, Qiao J, Wen L. A human fetal cerebellar map of the late second trimester reveals developmental molecular characteristics and abnormality in trisomy 21. Cell Rep 2024; 43:114586. [PMID: 39137113 DOI: 10.1016/j.celrep.2024.114586] [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: 02/06/2024] [Revised: 05/29/2024] [Accepted: 07/19/2024] [Indexed: 08/15/2024] Open
Abstract
Our understanding of human fetal cerebellum development during the late second trimester, a critical period for the generation of astrocytes, oligodendrocytes, and unipolar brush cells (UBCs), remains limited. Here, we performed single-cell RNA sequencing (scRNA-seq) in human fetal cerebellum samples from gestational weeks (GWs) 18-25. We find that proliferating UBC progenitors distribute in the subventricular zone of the rhombic lip (RLSVZ) near white matter (WM), forming a layer structure. We also delineate two trajectories from astrogenic radial glia (ARGs) to Bergmann glial progenitors (BGPs) and recognize oligodendrogenic radial glia (ORGs) as one source of primitive oligodendrocyte progenitor cells (PriOPCs). Additionally, our scRNA-seq analysis of the trisomy 21 fetal cerebellum at this stage reveals abnormal upregulated genes in pathways such as the cell adhesion pathway and focal adhesion pathway, which potentially promote neuronal differentiation. Overall, our research provides valuable insights into normal and abnormal development of the human fetal cerebellum.
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Affiliation(s)
- Hongmin Yu
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Yun Liu
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China; Changping Laboratory, Changping Laboratory, Yard 28, Science Park Road, Changping District, Beijing 102206, China
| | - Fanqing Xu
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Yuanyuan Fu
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China
| | - Ming Yang
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Ling Ding
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Yixuan Wu
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China
| | - Fuchou Tang
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China; Changping Laboratory, Changping Laboratory, Yard 28, Science Park Road, Changping District, Beijing 102206, China
| | - Jie Qiao
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Key Laboratory of Assisted Reproduction, Ministry of Education, Beijing 100191, China; Beijing Key Laboratory of Reproductive Endocrinology and Assisted Reproductive Technology, Beijing 100191, China.
| | - Lu Wen
- Biomedical Pioneering Innovation Center, Department of Obstetrics and Gynecology, Academy for Advanced Interdisciplinary Studies, Third Hospital, Peking University, Beijing 100871, China; Beijing Advanced Innovation Center for Genomics (ICG), Ministry of Education Key Laboratory of Cell Proliferation and Differentiation, Beijing 100871, China; Changping Laboratory, Changping Laboratory, Yard 28, Science Park Road, Changping District, Beijing 102206, China.
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2
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Wang L, Wang C, Moriano JA, Chen S, Zuo G, Cebrián-Silla A, Zhang S, Mukhtar T, Wang S, Song M, de Oliveira LG, Bi Q, Augustin JJ, Ge X, Paredes MF, Huang EJ, Alvarez-Buylla A, Duan X, Li J, Kriegstein AR. Molecular and cellular dynamics of the developing human neocortex at single-cell resolution. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.16.575956. [PMID: 39131371 PMCID: PMC11312442 DOI: 10.1101/2024.01.16.575956] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 08/13/2024]
Abstract
The development of the human neocortex is a highly dynamic process and involves complex cellular trajectories controlled by cell-type-specific gene regulation 1 . Here, we collected paired single-nucleus chromatin accessibility and transcriptome data from 38 human neocortical samples encompassing both the prefrontal cortex and primary visual cortex. These samples span five main developmental stages, ranging from the first trimester to adolescence. In parallel, we performed spatial transcriptomic analysis on a subset of the samples to illustrate spatial organization and intercellular communication. This atlas enables us to catalog cell type-, age-, and area-specific gene regulatory networks underlying neural differentiation. Moreover, combining single-cell profiling, progenitor purification, and lineage-tracing experiments, we have untangled the complex lineage relationships among progenitor subtypes during the transition from neurogenesis to gliogenesis in the human neocortex. We identified a tripotential intermediate progenitor subtype, termed Tri-IPC, responsible for the local production of GABAergic neurons, oligodendrocyte precursor cells, and astrocytes. Remarkably, most glioblastoma cells resemble Tri-IPCs at the transcriptomic level, suggesting that cancer cells hijack developmental processes to enhance growth and heterogeneity. Furthermore, by integrating our atlas data with large-scale GWAS data, we created a disease-risk map highlighting enriched ASD risk in second-trimester intratelencephalic projection neurons. Our study sheds light on the gene regulatory landscape and cellular dynamics of the developing human neocortex.
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3
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Foerster S, Floriddia EM, van Bruggen D, Kukanja P, Hervé B, Cheng S, Kim E, Phillips BU, Heath CJ, Tripathi RB, Call C, Bartels T, Ridley K, Neumann B, López-Cruz L, Crawford AH, Lynch CJ, Serrano M, Saksida L, Rowitch DH, Möbius W, Nave KA, Rasband MN, Bergles DE, Kessaris N, Richardson WD, Bussey TJ, Zhao C, Castelo-Branco G, Franklin RJM. Developmental origin of oligodendrocytes determines their function in the adult brain. Nat Neurosci 2024; 27:1545-1554. [PMID: 38849524 PMCID: PMC11303253 DOI: 10.1038/s41593-024-01666-8] [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: 12/13/2022] [Accepted: 04/25/2024] [Indexed: 06/09/2024]
Abstract
In the mouse embryonic forebrain, developmentally distinct oligodendrocyte progenitor cell populations and their progeny, oligodendrocytes, emerge from three distinct regions in a spatiotemporal gradient from ventral to dorsal. However, the functional importance of this oligodendrocyte developmental heterogeneity is unknown. Using a genetic strategy to ablate dorsally derived oligodendrocyte lineage cells (OLCs), we show here that the areas in which dorsally derived OLCs normally reside in the adult central nervous system become populated and myelinated by OLCs of ventral origin. These ectopic oligodendrocytes (eOLs) have a distinctive gene expression profile as well as subtle myelination abnormalities. The failure of eOLs to fully assume the role of the original dorsally derived cells results in locomotor and cognitive deficits in the adult animal. This study reveals the importance of developmental heterogeneity within the oligodendrocyte lineage and its importance for homeostatic brain function.
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Affiliation(s)
- Sarah Foerster
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - Elisa M Floriddia
- Laboratory of Molecular Neurobiology, Karolinska Institutet, Stockholm, Sweden
| | - David van Bruggen
- Laboratory of Molecular Neurobiology, Karolinska Institutet, Stockholm, Sweden
| | - Petra Kukanja
- Laboratory of Molecular Neurobiology, Karolinska Institutet, Stockholm, Sweden
| | - Bastien Hervé
- Laboratory of Molecular Neurobiology, Karolinska Institutet, Stockholm, Sweden
| | - Shangli Cheng
- Ming Wai Lau Centre for Reparative Medicine, Stockholm and Hong Kong nodes, Karolinska Institutet, Stockholm, Sweden
| | - Eosu Kim
- Behavioral and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
- Department of Psychiatry, Institute of Behavioral Science in Medicine, Yonsei University College of Medicine, Seoul, South Korea
| | - Benjamin U Phillips
- Behavioral and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
- Department of Physiology, Development and Neuroscience, University of Cambridge, Cambridge, UK
| | - Christopher J Heath
- School of Life, Health and Chemical Sciences, The Open University, Milton Keynes, UK
| | - Richa B Tripathi
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | - Cody Call
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Theresa Bartels
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Katherine Ridley
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Björn Neumann
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - Laura López-Cruz
- Behavioral and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
| | - Abbe H Crawford
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
| | - Cian J Lynch
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - Manuel Serrano
- Altos Labs, Cambridge Institute of Science, Cambridge, UK
| | - Lisa Saksida
- Department of Physiology and Pharmacology and Robarts Research Institute, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada
| | - David H Rowitch
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK
- Department of Paediatrics, University of Cambridge, Cambridge, UK
| | - Wiebke Möbius
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Klaus-Armin Nave
- Department of Neurogenetics, Max Planck Institute for Multidisciplinary Sciences, Göttingen, Germany
| | - Matthew N Rasband
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
| | - Dwight E Bergles
- Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Nicoletta Kessaris
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | - William D Richardson
- Wolfson Institute for Biomedical Research, University College London, London, UK
| | - Timothy J Bussey
- Behavioral and Clinical Neuroscience Institute, University of Cambridge, Cambridge, UK
- Department of Physiology and Pharmacology and Robarts Research Institute, Schulich School of Medicine & Dentistry, University of Western Ontario, London, ON, Canada
| | - Chao Zhao
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Altos Labs, Cambridge Institute of Science, Cambridge, UK.
| | - Gonçalo Castelo-Branco
- Laboratory of Molecular Neurobiology, Karolinska Institutet, Stockholm, Sweden.
- Ming Wai Lau Centre for Reparative Medicine, Stockholm and Hong Kong nodes, Karolinska Institutet, Stockholm, Sweden.
| | - Robin J M Franklin
- Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
- Altos Labs, Cambridge Institute of Science, Cambridge, UK.
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4
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Graffunder AS, Bresser AAJ, Fernandez Vallone V, Megges M, Stachelscheid H, Kühnen P, Opitz R. Spatiotemporal expression of thyroid hormone transporter MCT8 and THRA mRNA in human cerebral organoids recapitulating first trimester cortex development. Sci Rep 2024; 14:9355. [PMID: 38654093 PMCID: PMC11039642 DOI: 10.1038/s41598-024-59533-2] [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: 12/20/2023] [Accepted: 04/11/2024] [Indexed: 04/25/2024] Open
Abstract
Thyroid hormones (TH) play critical roles during nervous system development and patients carrying coding variants of MCT8 (monocarboxylate transporter 8) or THRA (thyroid hormone receptor alpha) present a spectrum of neurological phenotypes resulting from perturbed local TH action during early brain development. Recently, human cerebral organoids (hCOs) emerged as powerful in vitro tools for disease modelling recapitulating key aspects of early human cortex development. To begin exploring prospects of this model for thyroid research, we performed a detailed characterization of the spatiotemporal expression of MCT8 and THRA in developing hCOs. Immunostaining showed MCT8 membrane expression in neuronal progenitor cell types including early neuroepithelial cells, radial glia cells (RGCs), intermediate progenitors and outer RGCs. In addition, we detected robust MCT8 protein expression in deep layer and upper layer neurons. Spatiotemporal SLC16A2 mRNA expression, detected by fluorescent in situ hybridization (FISH), was highly concordant with MCT8 protein expression across cortical cell layers. FISH detected THRA mRNA expression already in neuroepithelium before the onset of neurogenesis. THRA mRNA expression remained low in the ventricular zone, increased in the subventricular zone whereas strong THRA expression was observed in excitatory neurons. In combination with a robust up-regulation of known T3 response genes following T3 treatment, these observations show that hCOs provide a promising and experimentally tractable model to probe local TH action during human cortical neurogenesis and eventually to model the consequences of impaired TH function for early cortex development.
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Affiliation(s)
- Adina Sophie Graffunder
- Department of Pediatric Endocrinology and Diabetology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Audrey Amber Julie Bresser
- Department of Pediatric Endocrinology and Diabetology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Valeria Fernandez Vallone
- Core Unit Pluripotent Stem Cells and Organoids (CUSCO), Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Matthias Megges
- Department of Pediatric Endocrinology and Diabetology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Harald Stachelscheid
- Core Unit Pluripotent Stem Cells and Organoids (CUSCO), Berlin Institute of Health at Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - Peter Kühnen
- Department of Pediatric Endocrinology and Diabetology, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Robert Opitz
- Institute of Experimental Pediatric Endocrinology, Charité Universitätsmedizin Berlin, Berlin, Germany.
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5
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Baig S, Nadaf J, Allache R, Le PU, Luo M, Djedid A, Nkili-Meyong A, Safisamghabadi M, Prat A, Antel J, Guiot MC, Petrecca K. Identity and nature of neural stem cells in the adult human subventricular zone. iScience 2024; 27:109342. [PMID: 38495819 PMCID: PMC10940989 DOI: 10.1016/j.isci.2024.109342] [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: 10/03/2023] [Revised: 12/26/2023] [Accepted: 02/22/2024] [Indexed: 03/19/2024] Open
Abstract
The existence of neural stem cells (NSCs) in adult human brain neurogenic regions remains unresolved. To address this, we created a cell atlas of the adult human subventricular zone (SVZ) derived from fresh neurosurgical samples using single-cell transcriptomics. We discovered 2 adult radial glia (RG)-like populations, aRG1 and aRG2. aRG1 shared features with fetal early RG (eRG) and aRG2 were transcriptomically similar to fetal outer RG (oRG). We also captured early neuronal and oligodendrocytic NSC states. We found that the biological programs driven by their transcriptomes support their roles as early lineage NSCs. Finally, we show that these NSCs have the potential to transition between states and along lineage trajectories. These data reveal that multipotent NSCs reside in the adult human SVZ.
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Affiliation(s)
- Salma Baig
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Javad Nadaf
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Redouane Allache
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Phuong U. Le
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Michael Luo
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Annisa Djedid
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Andriniaina Nkili-Meyong
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Maryam Safisamghabadi
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Alex Prat
- Neuroimmunology Research Lab, Centre de Recherche du Centre Hospitalier de l'Université de Montréal, Montreal, QC H2X0A9, Canada
| | - Jack Antel
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Marie-Christine Guiot
- Department of Neuropathology, Montreal Neurological Institute-Hospital, McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
| | - Kevin Petrecca
- Department of Neurology and Neurosurgery, Montreal Neurological Institute-Hospital McGill University, 3801 University Avenue, Montreal QC H3A2B4, Canada
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6
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Zeldich E, Rajkumar S. Identity and Maturity of iPSC-Derived Oligodendrocytes in 2D and Organoid Systems. Cells 2024; 13:674. [PMID: 38667289 PMCID: PMC11049552 DOI: 10.3390/cells13080674] [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: 03/05/2024] [Revised: 04/07/2024] [Accepted: 04/09/2024] [Indexed: 04/28/2024] Open
Abstract
Oligodendrocytes originating in the brain and spinal cord as well as in the ventral and dorsal domains of the neural tube are transcriptomically and functionally distinct. These distinctions are also reflected in the ultrastructure of the produced myelin, and the susceptibility to myelin-related disorders, which highlights the significance of the choice of patterning protocols in the differentiation of induced pluripotent stem cells (iPSCs) into oligodendrocytes. Thus, our first goal was to survey the different approaches applied to the generation of iPSC-derived oligodendrocytes in 2D culture and in organoids, as well as reflect on how these approaches pertain to the regional and spatial fate of the generated oligodendrocyte progenitors and myelinating oligodendrocytes. This knowledge is increasingly important to disease modeling and future therapeutic strategies. Our second goal was to recap the recent advances in the development of oligodendrocyte-enriched organoids, as we explore their relevance to a regional specification alongside their duration, complexity, and maturation stages of oligodendrocytes and myelin biology. Finally, we discuss the shortcomings of the existing protocols and potential future explorations.
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Affiliation(s)
- Ella Zeldich
- Department of Anatomy & Neurobiology, Boston University Chobanian and Avedesian School of Medicine, Boston, MA 02118, USA
- Center for Systems Neuroscience, Boston University, Boston, MA 02115, USA
- Neurophotonics Center, Boston University, Boston, MA 02115, USA
| | - Sandeep Rajkumar
- Department of Anatomy & Neurobiology, Boston University Chobanian and Avedesian School of Medicine, Boston, MA 02118, USA
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7
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Ganz J, Luquette LJ, Bizzotto S, Miller MB, Zhou Z, Bohrson CL, Jin H, Tran AV, Viswanadham VV, McDonough G, Brown K, Chahine Y, Chhouk B, Galor A, Park PJ, Walsh CA. Contrasting somatic mutation patterns in aging human neurons and oligodendrocytes. Cell 2024; 187:1955-1970.e23. [PMID: 38503282 PMCID: PMC11062076 DOI: 10.1016/j.cell.2024.02.025] [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: 01/09/2023] [Revised: 12/06/2023] [Accepted: 02/21/2024] [Indexed: 03/21/2024]
Abstract
Characterizing somatic mutations in the brain is important for disentangling the complex mechanisms of aging, yet little is known about mutational patterns in different brain cell types. Here, we performed whole-genome sequencing (WGS) of 86 single oligodendrocytes, 20 mixed glia, and 56 single neurons from neurotypical individuals spanning 0.4-104 years of age and identified >92,000 somatic single-nucleotide variants (sSNVs) and small insertions/deletions (indels). Although both cell types accumulate somatic mutations linearly with age, oligodendrocytes accumulated sSNVs 81% faster than neurons and indels 28% slower than neurons. Correlation of mutations with single-nucleus RNA profiles and chromatin accessibility from the same brains revealed that oligodendrocyte mutations are enriched in inactive genomic regions and are distributed across the genome similarly to mutations in brain cancers. In contrast, neuronal mutations are enriched in open, transcriptionally active chromatin. These stark differences suggest an assortment of active mutagenic processes in oligodendrocytes and neurons.
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Affiliation(s)
- Javier Ganz
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Lovelace J Luquette
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Sara Bizzotto
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Sorbonne Université, Institut du Cerveau (Paris Brain Institute) ICM, Inserm, CNRS, Hôpital de la Pitié Salpêtrière, 75013 Paris, France
| | - Michael B Miller
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Zinan Zhou
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
| | - Craig L Bohrson
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Antuan V Tran
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | | | - Gannon McDonough
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Katherine Brown
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
| | - Yasmine Chahine
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA
| | - Brian Chhouk
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA
| | - Alon Galor
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA 02115, USA; Division of Genetics, Brigham and Women's Hospital, Boston, MA 02115, USA.
| | - Christopher A Walsh
- Division of Genetics and Genomics, Manton Center for Orphan Disease Research, Department of Pediatrics, and Howard Hughes Medical Institute, Boston Children's Hospital, Boston, MA 02115, USA; Departments of Pediatrics and Neurology, Harvard Medical School, Boston, MA 02115, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
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8
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Zheng C, Tu C, Wang J, Yu Y, Guo X, Sun J, Sun J, Cai W, Yang Q, Sun T. Deciphering Oligodendrocyte Lineages in the Human Fetal Central Nervous System Using Single-Cell RNA Sequencing. Mol Neurobiol 2024; 61:1737-1752. [PMID: 37775719 DOI: 10.1007/s12035-023-03661-9] [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: 11/09/2022] [Accepted: 09/12/2023] [Indexed: 10/01/2023]
Abstract
Oligodendrocytes form myelin sheaths and wrap axons of neurons to facilitate various crucial neurological functions. Oligodendrocyte progenitor cells (OPCs) persist in the embryonic, postnatal, and adult central nervous system (CNS). OPCs and mature oligodendrocytes are involved in a variety of biological processes such as memory, learning, and diseases. How oligodendrocytes are specified in different regions in the CNS, in particular in humans, remains obscure. We here explored oligodendrocyte development in three CNS regions, subpallium, brainstem, and spinal cord, in human fetuses from gestational week 8 (GW8) to GW12 using single-cell RNA sequencing. We detected multiple lineages of OPCs and illustrated distinct developmental trajectories of oligodendrocyte differentiation in three CNS regions. We also identified major genes, particularly transcription factors, which maintain status of OPC proliferation and promote generation of mature oligodendrocytes. Moreover, we discovered new marker genes that might be crucial for oligodendrocyte specification in humans, and detected common and distinct genes expressed in oligodendrocyte lineages in three CNS regions. Our study has demonstrated molecular heterogeneity of oligodendrocyte lineages in different CNS regions and provided references for further investigation of roles of important genes in oligodendrocyte development in humans.
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Affiliation(s)
- Chenlin Zheng
- Center for Precision Medicine, School of Medicine and School of Biomedical Sciences, Huaqiao University, Xiamen, Fujian, China
| | - Chao Tu
- Center for Precision Medicine, School of Medicine and School of Biomedical Sciences, Huaqiao University, Xiamen, Fujian, China
| | - Jing Wang
- Center for Precision Medicine, School of Medicine and School of Biomedical Sciences, Huaqiao University, Xiamen, Fujian, China
| | - Yuan Yu
- Center for Precision Medicine, School of Medicine and School of Biomedical Sciences, Huaqiao University, Xiamen, Fujian, China
| | - Xueyu Guo
- Center for Precision Medicine, School of Medicine and School of Biomedical Sciences, Huaqiao University, Xiamen, Fujian, China
| | - Jason Sun
- Maple Glory United School, Xiamen, Fujian, China
- Xiamen Institute of Technology Attached School, Xiamen, Fujian, China
| | - Julianne Sun
- Maple Glory United School, Xiamen, Fujian, China
- Xiamen Institute of Technology Attached School, Xiamen, Fujian, China
| | - Wenjie Cai
- Department of Radiation Oncology, First Hospital of Quanzhou, Fujian Medical University, Quanzhou, Fujian, China
| | - Qingwei Yang
- Department of Neurology, Zhongshan Hospital, School of Medicine, Xiamen University, Xiamen, Fujian, China
| | - Tao Sun
- Center for Precision Medicine, School of Medicine and School of Biomedical Sciences, Huaqiao University, Xiamen, Fujian, China.
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9
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Kozlenkov A, Vadukapuram R, Zhou P, Fam P, Wegner M, Dracheva S. Novel method of isolating nuclei of human oligodendrocyte precursor cells reveals substantial developmental changes in gene expression and H3K27ac histone modification. Glia 2024; 72:69-89. [PMID: 37712493 PMCID: PMC10697634 DOI: 10.1002/glia.24462] [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: 09/18/2022] [Revised: 08/01/2023] [Accepted: 08/09/2023] [Indexed: 09/16/2023]
Abstract
Oligodendrocyte precursor cells (OPCs) generate differentiated mature oligodendrocytes (MOs) during development. In adult brain, OPCs replenish MOs in adaptive plasticity, neurodegenerative disorders, and after trauma. The ability of OPCs to differentiate to MOs decreases with age and is compromised in disease. Here we explored the cell specific and age-dependent differences in gene expression and H3K27ac histone mark in these two cell types. H3K27ac is indicative of active promoters and enhancers. We developed a novel flow-cytometry-based approach to isolate OPC and MO nuclei from human postmortem brain and profiled gene expression and H3K27ac in adult and infant OPCs and MOs genome-wide. In adult brain, we detected extensive H3K27ac differences between the two cell types with high concordance between gene expression and epigenetic changes. Notably, the expression of genes that distinguish MOs from OPCs appears to be under a strong regulatory control by the H3K27ac modification in MOs but not in OPCs. Comparison of gene expression and H3K27ac between infants and adults uncovered numerous developmental changes in each cell type, which were linked to several biological processes, including cell proliferation and glutamate signaling. A striking example was a subset of histone genes that were highly active in infant samples but fully lost activity in adult brain. Our findings demonstrate a considerable rearrangement of the H3K27ac landscape that occurs during the differentiation of OPCs to MOs and during postnatal development of these cell types, which aligned with changes in gene expression. The uncovered regulatory changes justify further in-depth epigenetic studies of OPCs and MOs in development and disease.
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Affiliation(s)
- Alexey Kozlenkov
- James J. Peters VA Medical Center, Bronx, NY, USA
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ramu Vadukapuram
- James J. Peters VA Medical Center, Bronx, NY, USA
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ping Zhou
- James J. Peters VA Medical Center, Bronx, NY, USA
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Peter Fam
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Michael Wegner
- Institut für Biochemie, Emil-Fischer-Zentrum, Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Stella Dracheva
- James J. Peters VA Medical Center, Bronx, NY, USA
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
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10
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Braun E, Danan-Gotthold M, Borm LE, Lee KW, Vinsland E, Lönnerberg P, Hu L, Li X, He X, Andrusivová Ž, Lundeberg J, Barker RA, Arenas E, Sundström E, Linnarsson S. Comprehensive cell atlas of the first-trimester developing human brain. Science 2023; 382:eadf1226. [PMID: 37824650 DOI: 10.1126/science.adf1226] [Citation(s) in RCA: 24] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 08/09/2023] [Indexed: 10/14/2023]
Abstract
The adult human brain comprises more than a thousand distinct neuronal and glial cell types, a diversity that emerges during early brain development. To reveal the precise sequence of events during early brain development, we used single-cell RNA sequencing and spatial transcriptomics and uncovered cell states and trajectories in human brains at 5 to 14 postconceptional weeks (pcw). We identified 12 major classes that are organized as ~600 distinct cell states, which map to precise spatial anatomical domains at 5 pcw. We described detailed differentiation trajectories of the human forebrain and midbrain and found a large number of region-specific glioblasts that mature into distinct pre-astrocytes and pre-oligodendrocyte precursor cells. Our findings reveal the establishment of cell types during the first trimester of human brain development.
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Affiliation(s)
- Emelie Braun
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Miri Danan-Gotthold
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Lars E Borm
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Ka Wai Lee
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Elin Vinsland
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Peter Lönnerberg
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Lijuan Hu
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Xiaofei Li
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 65 Stockholm, Sweden
| | - Xiaoling He
- John van Geest Centre for Brain Repair, University of Cambridge, Cambridge CB2 0PY, UK
| | - Žaneta Andrusivová
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, 171 65 Solna, Sweden
| | - Joakim Lundeberg
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, 171 65 Solna, Sweden
| | - Roger A Barker
- John van Geest Centre for Brain Repair, University of Cambridge, Cambridge CB2 0PY, UK
| | - Ernest Arenas
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
| | - Erik Sundström
- Division of Neurogeriatrics, Department of Neurobiology, Care Sciences and Society, Karolinska Institutet, 171 65 Stockholm, Sweden
| | - Sten Linnarsson
- Division of Molecular Neurobiology, Department of Medical Biochemistry and Biophysics, Karolinska Institute, 171 65 Stockholm, Sweden
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11
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Chiaradia I, Imaz-Rosshandler I, Nilges BS, Boulanger J, Pellegrini L, Das R, Kashikar ND, Lancaster MA. Tissue morphology influences the temporal program of human brain organoid development. Cell Stem Cell 2023; 30:1351-1367.e10. [PMID: 37802039 PMCID: PMC10765088 DOI: 10.1016/j.stem.2023.09.003] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 06/22/2023] [Accepted: 09/06/2023] [Indexed: 10/08/2023]
Abstract
Progression through fate decisions determines cellular composition and tissue architecture, but how that same architecture may impact cell fate is less clear. We took advantage of organoids as a tractable model to interrogate this interaction of form and fate. Screening methodological variations revealed that common protocol adjustments impacted various aspects of morphology, from macrostructure to tissue architecture. We examined the impact of morphological perturbations on cell fate through integrated single nuclear RNA sequencing (snRNA-seq) and spatial transcriptomics. Regardless of the specific protocol, organoids with more complex morphology better mimicked in vivo human fetal brain development. Organoids with perturbed tissue architecture displayed aberrant temporal progression, with cells being intermingled in both space and time. Finally, encapsulation to impart a simplified morphology led to disrupted tissue cytoarchitecture and a similar abnormal maturational timing. These data demonstrate that cells of the developing brain require proper spatial coordinates to undergo correct temporal progression.
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Affiliation(s)
- Ilaria Chiaradia
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | | | - Benedikt S Nilges
- Resolve Biosciences GmbH, Alfred-Nobel-Strasse 10, 40789 Monheim am Rhein, Germany
| | - Jerome Boulanger
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Laura Pellegrini
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK
| | - Richa Das
- Resolve Biosciences GmbH, Alfred-Nobel-Strasse 10, 40789 Monheim am Rhein, Germany
| | - Nachiket D Kashikar
- Resolve Biosciences GmbH, Alfred-Nobel-Strasse 10, 40789 Monheim am Rhein, Germany
| | - Madeline A Lancaster
- MRC Laboratory of Molecular Biology, Cambridge Biomedical Campus, Cambridge, UK; Wellcome-MRC Cambridge Stem Cell Institute, University of Cambridge, Cambridge, UK.
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12
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Groves SM, Quaranta V. Quantifying cancer cell plasticity with gene regulatory networks and single-cell dynamics. FRONTIERS IN NETWORK PHYSIOLOGY 2023; 3:1225736. [PMID: 37731743 PMCID: PMC10507267 DOI: 10.3389/fnetp.2023.1225736] [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: 05/19/2023] [Accepted: 08/25/2023] [Indexed: 09/22/2023]
Abstract
Phenotypic plasticity of cancer cells can lead to complex cell state dynamics during tumor progression and acquired resistance. Highly plastic stem-like states may be inherently drug-resistant. Moreover, cell state dynamics in response to therapy allow a tumor to evade treatment. In both scenarios, quantifying plasticity is essential for identifying high-plasticity states or elucidating transition paths between states. Currently, methods to quantify plasticity tend to focus on 1) quantification of quasi-potential based on the underlying gene regulatory network dynamics of the system; or 2) inference of cell potency based on trajectory inference or lineage tracing in single-cell dynamics. Here, we explore both of these approaches and associated computational tools. We then discuss implications of each approach to plasticity metrics, and relevance to cancer treatment strategies.
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Affiliation(s)
- Sarah M. Groves
- Department of Pharmacology, Vanderbilt University, Nashville, TN, United States
| | - Vito Quaranta
- Department of Pharmacology, Vanderbilt University, Nashville, TN, United States
- Department of Biochemistry, Vanderbilt University, Nashville, TN, United States
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13
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Magoulopoulou A, Salas SM, Tiklová K, Samuelsson ER, Hilscher MM, Nilsson M. Padlock Probe-Based Targeted In Situ Sequencing: Overview of Methods and Applications. Annu Rev Genomics Hum Genet 2023; 24:133-150. [PMID: 37018847 DOI: 10.1146/annurev-genom-102722-092013] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Elucidating spatiotemporal changes in gene expression has been an essential goal in studies of health, development, and disease. In the emerging field of spatially resolved transcriptomics, gene expression profiles are acquired with the tissue architecture maintained, sometimes at cellular resolution. This has allowed for the development of spatial cell atlases, studies of cell-cell interactions, and in situ cell typing. In this review, we focus on padlock probe-based in situ sequencing, which is a targeted spatially resolved transcriptomic method. We summarize recent methodological and computational tool developments and discuss key applications. We also discuss compatibility with other methods and integration with multiomic platforms for future applications.
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Affiliation(s)
- Anastasia Magoulopoulou
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Solna, Sweden; , , , , ,
| | - Sergio Marco Salas
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Solna, Sweden; , , , , ,
| | - Katarína Tiklová
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Solna, Sweden; , , , , ,
| | - Erik Reinhold Samuelsson
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Solna, Sweden; , , , , ,
| | - Markus M Hilscher
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Solna, Sweden; , , , , ,
| | - Mats Nilsson
- Department of Biochemistry and Biophysics, Science for Life Laboratory, Stockholm University, Solna, Sweden; , , , , ,
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14
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Deng Z, Rong S, Gan L, Wang F, Bao L, Cai F, Liao Z, Jin Y, Feng S, Feng Z, Wei Y, Chen R, Jin Y, Zhou Y, Zheng X, Huang L, Zhao L. Temporal transcriptome features identify early skeletal commitment during human epiphysis development at single-cell resolution. iScience 2023; 26:107200. [PMID: 37554462 PMCID: PMC10405011 DOI: 10.1016/j.isci.2023.107200] [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: 12/15/2022] [Revised: 05/18/2023] [Accepted: 06/20/2023] [Indexed: 08/10/2023] Open
Abstract
Human epiphyseal development has been mainly investigated through radiological and histological approaches, uncovering few details of cellular temporal genetic alternations. Using single-cell RNA sequencing, we investigated the dynamic transcriptome changes during post-conception weeks (PCWs) 15-25 of human distal femoral epiphysis cells. We find epiphyseal cells contain multiple subtypes distinguished by specific markers, gene signatures, Gene Ontology (GO) enrichment analysis, and gene set variation analysis (GSVA). We identify the populations committed to cartilage or ossification at this time, although the secondary ossification centers (SOCs) have not formed. We describe the temporal alternation in transcriptional expression utilizing trajectories, transcriptional regulatory networks, and intercellular communication analyses. Moreover, we find the emergence of the ossification-committed population is correlated with the COL2A1-(ITGA2/11+ITGB1) signaling. NOTCH signaling may contribute to the formation of cartilage canals and ossification via NOTCH signaling. Our findings will advance the understanding of single-cell genetic changes underlying fetal epiphysis development.
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Affiliation(s)
- Zhonghao Deng
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Shengwei Rong
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Lu Gan
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Fuhua Wang
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Liangxiao Bao
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Fang Cai
- Department of Obstetrics and Gynecology, Southern Medical University Nanfang Hospital Taihe Branch, Guangzhou, Guangdong 510515, China
| | - Zheting Liao
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yu Jin
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Shuhao Feng
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Zihang Feng
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yiran Wei
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Ruge Chen
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yangchen Jin
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
| | - Yanli Zhou
- Department of Obstetrics and Gynecology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong 510515, China
| | - Xiaoyong Zheng
- Orthopaedic Department, The 8th medical center of Chinese PLA General Hospital, Beijing 100091, China
| | - Liping Huang
- Department of Obstetrics and Gynecology, Southern Medical University Nanfang Hospital, Guangzhou, Guangdong 510515, China
| | - Liang Zhao
- Department of Orthopaedic Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong 510515, China
- Guangdong Provincial Key Laboratory of Construction and Detection in Tissue Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China
- Department of Orthopaedic Surgery, Shunde First People Hospital, Foshan, Guangdong 528300, China
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15
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Kunkel TJ, Townsend A, Sullivan KA, Merlet J, Schuchman EH, Jacobson DA, Lieberman AP. The cholesterol transporter NPC1 is essential for epigenetic regulation and maturation of oligodendrocyte lineage cells. Nat Commun 2023; 14:3964. [PMID: 37407594 DOI: 10.1038/s41467-023-39733-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Accepted: 06/21/2023] [Indexed: 07/07/2023] Open
Abstract
The intracellular cholesterol transporter NPC1 functions in late endosomes and lysosomes to efflux unesterified cholesterol, and its deficiency causes Niemann-Pick disease Type C, an autosomal recessive lysosomal disorder characterized by progressive neurodegeneration and early death. Here, we use single-nucleus RNA-seq on the forebrain of Npc1-/- mice at P16 to identify cell types and pathways affected early in pathogenesis. Our analysis uncovers significant transcriptional changes in the oligodendrocyte lineage during developmental myelination, accompanied by diminished maturation of myelinating oligodendrocytes. We identify upregulation of genes associated with neurogenesis and synapse formation in Npc1-/- oligodendrocyte lineage cells, reflecting diminished gene silencing by H3K27me3. Npc1-/- oligodendrocyte progenitor cells reproduce impaired maturation in vitro, and this phenotype is rescued by treatment with GSK-J4, a small molecule inhibitor of H3K27 demethylases. Moreover, mobilizing stored cholesterol in Npc1-/- mice by a single administration of 2-hydroxypropyl-β-cyclodextrin at P7 rescues myelination, epigenetic marks, and oligodendrocyte gene expression. Our findings highlight an important role for NPC1 in oligodendrocyte lineage maturation and epigenetic regulation, and identify potential targets for therapeutic intervention.
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Affiliation(s)
- Thaddeus J Kunkel
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA
| | - Alice Townsend
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN, USA
| | - Kyle A Sullivan
- Computational and Predictive Biology, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Jean Merlet
- The Bredesen Center for Interdisciplinary Research and Graduate Education, University of Tennessee Knoxville, Knoxville, TN, USA
| | - Edward H Schuchman
- Department of Genetics and Genomic Sciences, The Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Daniel A Jacobson
- Computational and Predictive Biology, Oak Ridge National Laboratory, Oak Ridge, TN, USA.
| | - Andrew P Lieberman
- Department of Pathology, University of Michigan Medical School, Ann Arbor, MI, USA.
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16
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Stoufflet J, Tielens S, Nguyen L. Shaping the cerebral cortex by cellular crosstalk. Cell 2023; 186:2733-2747. [PMID: 37352835 DOI: 10.1016/j.cell.2023.05.040] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2023] [Revised: 03/30/2023] [Accepted: 05/26/2023] [Indexed: 06/25/2023]
Abstract
The cerebral cortex is the brain's outermost layer. It is responsible for processing motor and sensory information that support high-level cognitive abilities and shape personality. Its development and functional organization strongly rely on cell communication that is established via an intricate system of diffusible signals and physical contacts during development. Interfering with this cellular crosstalk can cause neurodevelopmental disorders. Here, we review how crosstalk between migrating cells and their environment influences cerebral cortex development, ranging from neurogenesis to synaptogenesis and assembly of cortical circuits.
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Affiliation(s)
- Julie Stoufflet
- Laboratory of Molecular Regulation of Neurogenesis, GIGA-Stem Cells and GIGA-Neurosciences, Interdisciplinary Cluster for Applied Genoproteomics (GIGA-R), University of Liège, CHU Sart Tilman, Liège 4000, Belgium
| | - Sylvia Tielens
- Laboratory of Molecular Regulation of Neurogenesis, GIGA-Stem Cells and GIGA-Neurosciences, Interdisciplinary Cluster for Applied Genoproteomics (GIGA-R), University of Liège, CHU Sart Tilman, Liège 4000, Belgium
| | - Laurent Nguyen
- Laboratory of Molecular Regulation of Neurogenesis, GIGA-Stem Cells and GIGA-Neurosciences, Interdisciplinary Cluster for Applied Genoproteomics (GIGA-R), University of Liège, CHU Sart Tilman, Liège 4000, Belgium; Walloon Excellence in Life Sciences and Biotechnology (WELBIO), Wavres, Belgium.
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17
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Sobierajski E, Lauer G, Czubay K, Grabietz H, Beemelmans C, Beemelmans C, Meyer G, Wahle P. Development of myelin in fetal and postnatal neocortex of the pig, the European wild boar Sus scrofa. Brain Struct Funct 2023; 228:947-966. [PMID: 37000250 PMCID: PMC10147765 DOI: 10.1007/s00429-023-02633-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 03/15/2023] [Indexed: 04/01/2023]
Abstract
Myelination of the neocortex of altricial species is mostly a postnatal event, and the appearance of myelin has been associated with the end of the critical period for ocular dominance plasticity in rodent visual cortex. Due to their precocality, ungulates may tell a different story. Here, we analyzed the development of PDGFRα positive oligodendrocyte precursor cells and expression of myelin proteins in the laminar compartments of fetal and postnatal porcine cortex from E45 onwards. Precursor cell density initially increased and then decreased but remained present at P90. MAG and MBP staining were detectable at E70 in subventricular zone and deep white matter, ascending into gyral white matter at E85, and into the gray matter and marginal zone at E100 (birth in pig at E114). Protein blots confirmed the declining expression of PDGFRα from E65 onwards, and the increase of MBP and MAG expression from E80 onwards. Somatosensory input elicited by spontaneous activity is considered important for the formation of the body representation. Indeed, PDGFRα, MBP and MAG expression started earlier in somatosensory than in visual cortex. Taken together, myelination proceeded in white and gray matter and marginal zone of pig cortex before birth with an areal-specific time course, and an almost mature pattern was present at P5 in visual cortex.
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Affiliation(s)
- Eric Sobierajski
- Faculty of Biology and Biotechnology, Developmental Neurobiology, Ruhr University Bochum, 44870, Bochum, Germany
| | - German Lauer
- Faculty of Biology and Biotechnology, Developmental Neurobiology, Ruhr University Bochum, 44870, Bochum, Germany
| | - Katrin Czubay
- Faculty of Biology and Biotechnology, Developmental Neurobiology, Ruhr University Bochum, 44870, Bochum, Germany
| | - Hannah Grabietz
- Faculty of Biology and Biotechnology, Developmental Neurobiology, Ruhr University Bochum, 44870, Bochum, Germany
| | - Christa Beemelmans
- Regionalverband Ruhr Grün, Forsthof Üfter Mark, Forsthausweg 306, 46514, Schermbeck, Germany
| | - Christoph Beemelmans
- Regionalverband Ruhr Grün, Forsthof Üfter Mark, Forsthausweg 306, 46514, Schermbeck, Germany
| | - Gundela Meyer
- Department of Basic Medical Science, Faculty of Medicine, University of La Laguna, 38200, Santa Cruz de Tenerife, Tenerife, Spain
| | - Petra Wahle
- Faculty of Biology and Biotechnology, Developmental Neurobiology, Ruhr University Bochum, 44870, Bochum, Germany.
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18
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Regal JA, Guerra García ME, Jain V, Chandramohan V, Ashley DM, Gregory SG, Thompson EM, López GY, Reitman ZJ. Ganglioglioma deep transcriptomics reveals primitive neuroectoderm neural precursor-like population. Acta Neuropathol Commun 2023; 11:50. [PMID: 36966348 PMCID: PMC10039537 DOI: 10.1186/s40478-023-01548-3] [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: 12/18/2022] [Accepted: 03/06/2023] [Indexed: 03/27/2023] Open
Abstract
Gangliogliomas are brain tumors composed of neuron-like and macroglia-like components that occur in children and young adults. Gangliogliomas are often characterized by a rare population of immature astrocyte-appearing cells expressing CD34, a marker expressed in the neuroectoderm (neural precursor cells) during embryogenesis. New insights are needed to refine tumor classification and to identify therapeutic approaches. We evaluated five gangliogliomas with single nucleus RNA-seq, cellular indexing of transcriptomes and epitopes by sequencing, and/or spatially-resolved RNA-seq. We uncovered a population of CD34+ neoplastic cells with mixed neuroectodermal, immature astrocyte, and neuronal markers. Gene regulatory network interrogation in these neuroectoderm-like cells revealed control of transcriptional programming by TCF7L2/MEIS1-PAX6 and SOX2, similar to that found during neuroectodermal/neural development. Developmental trajectory analyses place neuroectoderm-like tumor cells as precursor cells that give rise to neuron-like and macroglia-like neoplastic cells. Spatially-resolved transcriptomics revealed a neuroectoderm-like tumor cell niche with relative lack of vascular and immune cells. We used these high resolution results to deconvolute clinically-annotated transcriptomic data, confirming that CD34+ cell-associated gene programs associate with gangliogliomas compared to other glial brain tumors. Together, these deep transcriptomic approaches characterized a ganglioglioma cellular hierarchy-confirming CD34+ neuroectoderm-like tumor precursor cells, controlling transcription programs, cell signaling, and associated immune cell states. These findings may guide tumor classification, diagnosis, prognostication, and therapeutic investigations.
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Affiliation(s)
- Joshua A Regal
- Department of Radiation Oncology, Duke University, Durham, NC, 27710, USA
| | | | - Vaibhav Jain
- Duke Molecular Physiology Institute, Duke University, Durham, NC, 27710, USA
| | | | - David M Ashley
- Department of Neurosurgery, Duke University, Durham, NC, 27710, USA
| | - Simon G Gregory
- Duke Molecular Physiology Institute, Duke University, Durham, NC, 27710, USA
| | - Eric M Thompson
- Department of Neurosurgery, Duke University, Durham, NC, 27710, USA
| | - Giselle Y López
- Department of Neurosurgery, Duke University, Durham, NC, 27710, USA
- Department of Pathology, Duke University, Durham, NC, 27710, USA
| | - Zachary J Reitman
- Department of Radiation Oncology, Duke University, Durham, NC, 27710, USA.
- Department of Neurosurgery, Duke University, Durham, NC, 27710, USA.
- Department of Pathology, Duke University, Durham, NC, 27710, USA.
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19
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Neurodevelopmental disorders-high-resolution rethinking of disease modeling. Mol Psychiatry 2023; 28:34-43. [PMID: 36434058 PMCID: PMC9812768 DOI: 10.1038/s41380-022-01876-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 11/06/2022] [Accepted: 11/07/2022] [Indexed: 11/27/2022]
Abstract
Neurodevelopmental disorders arise due to various risk factors that can perturb different stages of brain development, and a combinatorial impact of these risk factors programs the phenotype in adulthood. While modeling the complete phenotype of a neurodevelopmental disorder is challenging, individual developmental perturbations can be successfully modeled in vivo in animals and in vitro in human cellular models. Nevertheless, our limited knowledge of human brain development restricts modeling strategies and has raised questions of how well a model corresponds to human in vivo brain development. Recent progress in high-resolution analysis of human tissue with single-cell and spatial omics techniques has enhanced our understanding of the complex events that govern the development of the human brain in health and disease. This new knowledge can be utilized to improve modeling of neurodevelopmental disorders and pave the way to more accurately portraying the relevant developmental perturbations in disease models.
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20
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Ramos SI, Mussa ZM, Falk EN, Pai B, Giotti B, Allette K, Cai P, Dekio F, Sebra R, Beaumont KG, Tsankov AM, Tsankova NM. An atlas of late prenatal human neurodevelopment resolved by single-nucleus transcriptomics. Nat Commun 2022; 13:7671. [PMID: 36509746 PMCID: PMC9744747 DOI: 10.1038/s41467-022-34975-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2022] [Accepted: 11/10/2022] [Indexed: 12/14/2022] Open
Abstract
Late prenatal development of the human neocortex encompasses a critical period of gliogenesis and cortical expansion. However, systematic single-cell analyses to resolve cellular diversity and gliogenic lineages of the third trimester are lacking. Here, we present a comprehensive single-nucleus RNA sequencing atlas of over 200,000 nuclei derived from the proliferative germinal matrix and laminating cortical plate of 15 prenatal, non-pathological postmortem samples from 17 to 41 gestational weeks, and 3 adult controls. This dataset captures prenatal gliogenesis with high temporal resolution and is provided as a resource for further interrogation. Our computational analysis resolves greater complexity of glial progenitors, including transient glial intermediate progenitor cell (gIPC) and nascent astrocyte populations in the third trimester of human gestation. We use lineage trajectory and RNA velocity inference to further characterize specific gIPC subpopulations preceding both oligodendrocyte (gIPC-O) and astrocyte (gIPC-A) lineage differentiation. We infer unique transcriptional drivers and biological pathways associated with each developmental state, validate gIPC-A and gIPC-O presence within the human germinal matrix and cortical plate in situ, and demonstrate gIPC states being recapitulated across adult and pediatric glioblastoma tumors.
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Affiliation(s)
- Susana I Ramos
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Zarmeen M Mussa
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Elisa N Falk
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neurology, Boston Children's Hospital, Boston, MA, 02115, USA
| | - Balagopal Pai
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Bruno Giotti
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kimaada Allette
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Peiwen Cai
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Fumiko Dekio
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Robert Sebra
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Kristin G Beaumont
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Alexander M Tsankov
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
| | - Nadejda M Tsankova
- Department of Pathology, Molecular, and Cell-Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
- Black Family Stem Cell Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
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21
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Liu I, Jiang L, Samuelsson ER, Marco Salas S, Beck A, Hack OA, Jeong D, Shaw ML, Englinger B, LaBelle J, Mire HM, Madlener S, Mayr L, Quezada MA, Trissal M, Panditharatna E, Ernst KJ, Vogelzang J, Gatesman TA, Halbert ME, Palova H, Pokorna P, Sterba J, Slaby O, Geyeregger R, Diaz A, Findlay IJ, Dun MD, Resnick A, Suvà ML, Jones DTW, Agnihotri S, Svedlund J, Koschmann C, Haberler C, Czech T, Slavc I, Cotter JA, Ligon KL, Alexandrescu S, Yung WKA, Arrillaga-Romany I, Gojo J, Monje M, Nilsson M, Filbin MG. The landscape of tumor cell states and spatial organization in H3-K27M mutant diffuse midline glioma across age and location. Nat Genet 2022; 54:1881-1894. [PMID: 36471067 PMCID: PMC9729116 DOI: 10.1038/s41588-022-01236-3] [Citation(s) in RCA: 50] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2021] [Accepted: 10/20/2022] [Indexed: 12/12/2022]
Abstract
Histone 3 lysine27-to-methionine (H3-K27M) mutations most frequently occur in diffuse midline gliomas (DMGs) of the childhood pons but are also increasingly recognized in adults. Their potential heterogeneity at different ages and midline locations is vastly understudied. Here, through dissecting the single-cell transcriptomic, epigenomic and spatial architectures of a comprehensive cohort of patient H3-K27M DMGs, we delineate how age and anatomical location shape glioma cell-intrinsic and -extrinsic features in light of the shared driver mutation. We show that stem-like oligodendroglial precursor-like cells, present across all clinico-anatomical groups, display varying levels of maturation dependent on location. We reveal a previously underappreciated relationship between mesenchymal cancer cell states and age, linked to age-dependent differences in the immune microenvironment. Further, we resolve the spatial organization of H3-K27M DMG cell populations and identify a mitotic oligodendroglial-lineage niche. Collectively, our study provides a powerful framework for rational modeling and therapeutic interventions.
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Affiliation(s)
- Ilon Liu
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Li Jiang
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Erik R. Samuelsson
- grid.10548.380000 0004 1936 9377Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Sergio Marco Salas
- grid.10548.380000 0004 1936 9377Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Alexander Beck
- grid.5252.00000 0004 1936 973XCenter for Neuropathology, Ludwig-Maximilians-University, Munich, Germany
| | - Olivia A. Hack
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Daeun Jeong
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - McKenzie L. Shaw
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Bernhard Englinger
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.22937.3d0000 0000 9259 8492Department of Urology, Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Jenna LaBelle
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Hafsa M. Mire
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Sibylle Madlener
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Lisa Mayr
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Michael A. Quezada
- grid.168010.e0000000419368956Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA USA
| | - Maria Trissal
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Eshini Panditharatna
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
| | - Kati J. Ernst
- grid.7497.d0000 0004 0492 0584Hopp Children’s Cancer Center Heidelberg (KiTZ), Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Jayne Vogelzang
- grid.65499.370000 0001 2106 9910Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA USA
| | - Taylor A. Gatesman
- grid.21925.3d0000 0004 1936 9000Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA USA ,grid.239553.b0000 0000 9753 0008John G. Rangos Sr. Research Center, Children’s Hospital of Pittsburgh, Pittsburgh, PA USA
| | - Matthew E. Halbert
- grid.21925.3d0000 0004 1936 9000Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA USA ,grid.239553.b0000 0000 9753 0008John G. Rangos Sr. Research Center, Children’s Hospital of Pittsburgh, Pittsburgh, PA USA
| | - Hana Palova
- grid.10267.320000 0001 2194 0956Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Petra Pokorna
- grid.10267.320000 0001 2194 0956Central European Institute of Technology, Masaryk University, Brno, Czech Republic
| | - Jaroslav Sterba
- Pediatric Oncology Department, University Hospital Brno, Faculty of Medicine, Masaryk University, ICRC, Brno, Czech Republic
| | - Ondrej Slaby
- grid.10267.320000 0001 2194 0956Central European Institute of Technology, Masaryk University, Brno, Czech Republic ,grid.10267.320000 0001 2194 0956Department of Biology, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Rene Geyeregger
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria ,grid.416346.2Department of Clinical Cell Biology and FACS Core Unit, St. Anna Children’s Cancer Research Institute (CCRI), Vienna, Austria
| | - Aaron Diaz
- grid.266102.10000 0001 2297 6811Department of Neurological Surgery, University of California San Francisco, San Francisco, CA USA
| | - Izac J. Findlay
- grid.266842.c0000 0000 8831 109XCancer Signalling Research Group, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales Australia ,grid.413648.cPrecision Medicine Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales Australia
| | - Matthew D. Dun
- grid.266842.c0000 0000 8831 109XCancer Signalling Research Group, School of Biomedical Sciences and Pharmacy, College of Health, Medicine and Wellbeing, University of Newcastle, Callaghan, New South Wales Australia ,grid.413648.cPrecision Medicine Program, Hunter Medical Research Institute, New Lambton Heights, New South Wales Australia
| | - Adam Resnick
- grid.239552.a0000 0001 0680 8770Center for Data Driven Discovery in Biomedicine, Children’s Hospital of Philadelphia, Philadelphia, PA USA
| | - Mario L. Suvà
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.32224.350000 0004 0386 9924Department of Pathology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA USA
| | - David T. W. Jones
- grid.7497.d0000 0004 0492 0584Hopp Children’s Cancer Center Heidelberg (KiTZ), Division of Pediatric Glioma Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Sameer Agnihotri
- grid.21925.3d0000 0004 1936 9000Department of Neurological Surgery, University of Pittsburgh School of Medicine, Pittsburgh, PA USA ,grid.239553.b0000 0000 9753 0008John G. Rangos Sr. Research Center, Children’s Hospital of Pittsburgh, Pittsburgh, PA USA
| | - Jessica Svedlund
- grid.10548.380000 0004 1936 9377Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Carl Koschmann
- grid.412590.b0000 0000 9081 2336Division of Pediatric Hematology/Oncology, Department of Pediatrics, Michigan Medicine, Ann Arbor, MI USA
| | - Christine Haberler
- grid.22937.3d0000 0000 9259 8492Division of Neuropathology and Neurochemistry, Department of Neurology, Medical University of Vienna, Vienna, Austria
| | - Thomas Czech
- grid.22937.3d0000 0000 9259 8492Department of Neurosurgery, Medical University of Vienna, Vienna, Austria
| | - Irene Slavc
- grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Jennifer A. Cotter
- grid.239546.f0000 0001 2153 6013Department of Pathology and Laboratory Medicine, Children’s Hospital Los Angeles, Keck School of Medicine of University of Southern California, Los Angeles, CA USA
| | - Keith L. Ligon
- grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA ,grid.65499.370000 0001 2106 9910Department of Oncologic Pathology, Dana-Farber Cancer Institute, Boston, MA USA ,grid.62560.370000 0004 0378 8294Department of Pathology, Brigham and Women’s Hospital, Boston, MA USA ,grid.2515.30000 0004 0378 8438Department of Pathology, Boston Children’s Hospital, Boston, MA USA
| | - Sanda Alexandrescu
- grid.2515.30000 0004 0378 8438Department of Pathology, Boston Children’s Hospital, Boston, MA USA
| | - W. K. Alfred Yung
- grid.240145.60000 0001 2291 4776Department of Neuro-Oncology, Brain Tumor Center, The University of Texas MD Anderson Cancer Center, Houston, TX USA
| | - Isabel Arrillaga-Romany
- grid.32224.350000 0004 0386 9924Massachusetts General Hospital, Cancer Center, Boston, MA USA
| | - Johannes Gojo
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.22937.3d0000 0000 9259 8492Department of Pediatrics and Adolescent Medicine, Comprehensive Center for Pediatrics and Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria
| | - Michelle Monje
- grid.168010.e0000000419368956Department of Neurology and Neurological Sciences, Stanford University School of Medicine, Stanford, CA USA ,grid.413575.10000 0001 2167 1581Howard Hughes Medical Institute, Stanford, CA USA
| | - Mats Nilsson
- grid.10548.380000 0004 1936 9377Science for Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, Stockholm, Sweden
| | - Mariella G. Filbin
- grid.511177.4Department of Pediatric Oncology, Dana-Farber Boston Children’s Cancer and Blood Disorders Center, Boston, MA USA ,grid.66859.340000 0004 0546 1623Broad Institute of MIT and Harvard, Cambridge, MA USA
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22
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Zhang Z, Li X, Zhou H, Zhou J. NG2-glia crosstalk with microglia in health and disease. CNS Neurosci Ther 2022; 28:1663-1674. [PMID: 36000202 PMCID: PMC9532922 DOI: 10.1111/cns.13948] [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: 04/05/2022] [Revised: 08/03/2022] [Accepted: 08/06/2022] [Indexed: 11/30/2022] Open
Abstract
Neurodegenerative diseases are increasingly becoming a global problem. However, the pathological mechanisms underlying neurodegenerative diseases are not fully understood. NG2‐glia abnormalities and microglia activation are involved in the development and/or progression of neurodegenerative disorders, such as multiple sclerosis, Alzheimer's disease, Parkinson's disease, and cerebrovascular diseases. In this review, we summarize the present understanding of the interaction between NG2‐glia and microglia in physiological and pathological states and discuss unsolved questions concerning their fate and potential fate. First, we introduce the NG2‐glia and microglia in health and disease. Second, we formulate the interaction between NG2‐glia and microglia. NG2‐glia proliferation, migration, differentiation, and apoptosis are influenced by factors released from the microglia. On the other hand, NG2‐glia also regulate microglia actions. We conclude that NG2‐glia and microglia are important immunomodulatory cells in the brain. Understanding the interaction between NG2‐glia and microglia will help provide a novel method to modulate myelination and treat neurodegenerative disorders.
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Affiliation(s)
- Zuo Zhang
- National Drug Clinical Trial Institution, Second Affiliated Hospital, Army Medical University, Chongqing, China
| | - Xiaolong Li
- National Drug Clinical Trial Institution, Second Affiliated Hospital, Army Medical University, Chongqing, China
| | - Hongli Zhou
- National Drug Clinical Trial Institution, Second Affiliated Hospital, Army Medical University, Chongqing, China
| | - Jiyin Zhou
- National Drug Clinical Trial Institution, Second Affiliated Hospital, Army Medical University, Chongqing, China
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