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Junaid M, Lee EJ, Lim SB. Single-cell and spatial omics: exploring hypothalamic heterogeneity. Neural Regen Res 2025; 20:1525-1540. [PMID: 38993130 PMCID: PMC11688568 DOI: 10.4103/nrr.nrr-d-24-00231] [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: 02/26/2024] [Revised: 05/06/2024] [Accepted: 06/03/2024] [Indexed: 07/13/2024] Open
Abstract
Elucidating the complex dynamic cellular organization in the hypothalamus is critical for understanding its role in coordinating fundamental body functions. Over the past decade, single-cell and spatial omics technologies have significantly evolved, overcoming initial technical challenges in capturing and analyzing individual cells. These high-throughput omics technologies now offer a remarkable opportunity to comprehend the complex spatiotemporal patterns of transcriptional diversity and cell-type characteristics across the entire hypothalamus. Current single-cell and single-nucleus RNA sequencing methods comprehensively quantify gene expression by exploring distinct phenotypes across various subregions of the hypothalamus. However, single-cell/single-nucleus RNA sequencing requires isolating the cell/nuclei from the tissue, potentially resulting in the loss of spatial information concerning neuronal networks. Spatial transcriptomics methods, by bypassing the cell dissociation, can elucidate the intricate spatial organization of neural networks through their imaging and sequencing technologies. In this review, we highlight the applicative value of single-cell and spatial transcriptomics in exploring the complex molecular-genetic diversity of hypothalamic cell types, driven by recent high-throughput achievements.
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Affiliation(s)
- Muhammad Junaid
- Department of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon, South Korea
- Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, South Korea
| | - Eun Jeong Lee
- Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, South Korea
- Department of Brain Science, Ajou University School of Medicine, Suwon, South Korea
| | - Su Bin Lim
- Department of Biochemistry & Molecular Biology, Ajou University School of Medicine, Suwon, South Korea
- Department of Biomedical Sciences, Graduate School of Ajou University, Suwon, South Korea
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2
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Ferreira GAM, Pinto LAM. Neural Stem Cell-Derived Astrogliogenesis: The Hidden Player of the Adult Hippocampal Cytogenic Niche. Glia 2025. [PMID: 40326621 DOI: 10.1002/glia.70031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2024] [Revised: 04/22/2025] [Accepted: 04/25/2025] [Indexed: 05/07/2025]
Abstract
The adult mammalian brain exhibits remarkable forms of neural plasticity, enabling it to adapt and reorganize in response to internal and external stimuli. These plastic mechanisms include cytogenesis, the capacity of producing new neuronal and glial cells in restricted brain regions through processes known as neuro- and gliogenesis, respectively. Although many advances have been made in understanding adult brain plastic processes associated with cell genesis, as well as its functional and behavioral implications, most of the evidence is focused on neuronal cells. Even though astrocytes play a critical role in maintaining a neurochemical and electrophysiological homeostasis in the brain and provide a pivotal support to neuronal activity, the molecular mechanisms underlying the formation and functional integration of newly formed astroglial cells are poorly understood. However, some studies have provided key insights into the molecular mechanisms driving the generation of adult neural stem cell (NSC)-derived astrocytes, focusing on the dentate gyrus of the hippocampal cytogenic niche. Recent work has demonstrated that intrinsic and extrinsic factors can modulate astrogliogenesis. In the context of neuropathogenesis, this mechanism may be compromised in the hippocampus, contributing to functional and behavioral impairments. Here, we review the mechanisms underlying NSC-derived hippocampal astrogliogenesis, examining current perspectives on how adult-born astrocytes develop in the adult brain, their functional relevance, and the intricate regulation of the astrogliogenic process.
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Affiliation(s)
- Gonçalo Alexandre Martins Ferreira
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal
| | - Luísa Alexandra Meireles Pinto
- Life and Health Sciences Research Institute (ICVS), School of Medicine, University of Minho, Braga, Portugal
- ICVS/3B's-PT Government Associate Laboratory, Braga/Guimarães, Portugal
- Bn'ML-Behavioral and Molecular Lab, Braga, Portugal
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3
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Gao L, Hao J, Hua Z, Zeng C, Li J, Zeng J. Lipidomics Atlas Tracks Alterations Associated with Deltamethrin-Induced Developmental Neurotoxicity in Embryonic Zebrafish. J Proteome Res 2025; 24:2280-2290. [PMID: 40176748 DOI: 10.1021/acs.jproteome.4c00779] [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] [Indexed: 04/04/2025]
Abstract
Deltamethrin (DM) is a widely used pyrethroid pesticide associated with childhood neurodevelopmental disorders. However, the specific impact of DM exposure during distinct early life stages remains unclear. Here, zebrafish embryos were exposed to DM at different stages: before (10-16 hpf), at the onset of (16-24 hpf), at the peak of (24-36 hpf) hypothalamic neurogenesis, and continuously from 10 to 120 hpf (subchronic exposure), using different dosages (1, 100, and 250 nM). Exposure to middle/high-dose DM at 24-36 and 10-120 hpf significantly reduced zebrafish locomotor activities and increased apoptotic cells in the spinal cord. As a pivotal factor in central nervous system disorder progression, altered lipid metabolism was investigated using nontargeted lipidomic analysis. DM exposure at 10-16 and 24-36 hpf led to the most significant lipidome reprogramming. Despite exhibiting a dose-dependent trend, even low-dose DM changed the lipidome. Cer 40:2;2 and PG 44:12 showed potential in identifying DM exposure effects. Significant changes in sphingolipid, cardiolipin, phosphatidylglycerol, and glycerolipid pathways were linked to DM-induced developmental neurotoxicity, indicating impaired membrane function, mitochondrial damage, and disrupted energy metabolism. Our study sheds new light on assessing early neurodevelopmental disturbances and identifying intervention targets, emphasizing sensitivity to DM during the critical early phase of neurodevelopment.
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Affiliation(s)
- Longhua Gao
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China
| | - Jingwen Hao
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China
| | - Zhengyi Hua
- School of Life Sciences, Xiamen University, Xiamen 361102, China
| | - Changchun Zeng
- Department of Medical Laboratory, Shenzhen Longhua District Central Hospital, Shenzhen 518110, China
| | - Jia Li
- Key Laboratory of Tea Biology and Resources Utilization, Ministry of Agriculture, Tea Research Institute, Chinese Academy of Agricultural Sciences, Hangzhou 310008, China
| | - Jun Zeng
- College of Ocean Food and Biological Engineering, Jimei University, Xiamen 361021, China
- Xiamen Key Laboratory of Marine Functional Food, Xiamen 361021, China
- Research Unit Analytical BioGeoChemistry, Helmholtz Munich, Neuherberg 85764, Germany
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Shen Y, Wong SZH, Ma T, Zhang F, Wang Q, Kawaguchi R, Geschwind DH, Wang J, He C, Ming GL, Song H. m 6A deficiency impairs hypothalamic neurogenesis of feeding-related neurons in mice and human organoids and leads to adult obesity in mice. Cell Stem Cell 2025; 32:727-743.e8. [PMID: 40112816 DOI: 10.1016/j.stem.2025.02.011] [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: 07/06/2024] [Revised: 12/07/2024] [Accepted: 02/24/2025] [Indexed: 03/22/2025]
Abstract
N6-methyladenosine (m6A), the most prevalent internal modification on mRNAs, plays important roles in the nervous system. Whether neurogenesis in the hypothalamus, a region critical for controlling appetite, is regulated by m6A signaling, especially in humans, remains unclear. Here, we showed that deletion of m6A writer Mettl14 in the mouse embryonic hypothalamus led to adult obesity, with impaired glucose-insulin homeostasis and increased energy intake. Mechanistically, deletion of Mettl14 leads to hypothalamic arcuate nucleus neurogenesis deficits with reduced generation of feeding-related neurons and dysregulation of neurogenesis-related m6A-tagged transcripts. Deletion of m6A writer Mettl3 or m6A reader Ythdc1 shared similar phenotypes. METTL14 or YTHDC1 knockdown also led to reduced generation of feeding-related neurons in human brain subregion-specific arcuate nucleus organoids. Our studies reveal a conserved role of m6A signaling in arcuate nucleus neurogenesis in mice and human organoids and shed light on the developmental basis of epitranscriptomic regulation of food intake and energy homeostasis.
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Affiliation(s)
- Yachen Shen
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Samuel Zheng Hao Wong
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Tong Ma
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Feng Zhang
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Qing Wang
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Riki Kawaguchi
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Daniel H Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jeremy Wang
- Department of Biomedical Sciences, University of Pennsylvania School of Veterinary Medicine, Philadelphia, PA, USA
| | - Chuan He
- Department of Chemistry, Howard Hughes Medical Institute, the University of Chicago, Chicago, IL, USA; Department of Biochemistry and Molecular Biology, Howard Hughes Medical Institute, the University of Chicago, Chicago, IL, USA
| | - Guo-Li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Institute for Regenerative Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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5
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Wang YM, Wang WC, Pan Y, Zeng L, Wu J, Wang ZB, Zhuang XL, Li ML, Cooper DN, Wang S, Shao Y, Wang LM, Fan YY, He Y, Hu XT, Wu DD. Regional and aging-specific cellular architecture of non-human primate brains. Genome Med 2025; 17:41. [PMID: 40296047 PMCID: PMC12038948 DOI: 10.1186/s13073-025-01469-x] [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: 01/19/2024] [Accepted: 04/08/2025] [Indexed: 04/30/2025] Open
Abstract
BACKGROUND Deciphering the functionality and dynamics of brain networks across different regions and age groups in non-human primates (NHPs) is crucial for understanding the evolution of human cognition as well as the processes underlying brain pathogenesis. However, systemic delineation of the cellular composition and molecular connections among multiple brain regions and their alterations induced by aging in NHPs remain largely unresolved. METHODS In this study, we performed single-nucleus RNA sequencing on 39 samples collected from 10 brain regions of two young and two aged rhesus macaques using the DNBelab C4 system. Validation of protein expression of signatures specific to particular cell types, brain regions, and aging was conducted through a series of immunofluorescence and immunohistochemistry staining experiments. Loss-of-function experiments mediated by short hairpin RNA (shRNA) targeting two age-related genes (i.e., VSNL1 and HPCAL4) were performed in U251 glioma cells to verify their aging effects. Senescence-associated beta-galactosidase (SA-β-gal) staining and quantitative PCR (qPCR) of senescence marker genes were employed to assess cellular senescence in U251 cells. RESULTS We have established a large-scale cell atlas encompassing over 330,000 cells for the rhesus macaque brain. Our analysis identified numerous gene expression signatures that were specific to particular cell types, subtypes, brain regions, and aging. These datasets greatly expand our knowledge of primate brain organization and highlight the potential involvement of specific molecular and cellular components in both the regionalization and functional integrity of the brain. Our analysis also disclosed extensive transcriptional alterations and cell-cell connections across brain regions in the aging macaques. Finally, by examining the heritability enrichment of human complex traits and diseases, we determined that neurological traits were significantly enriched in neuronal cells and multiple regions with aging-relevant gene expression signatures, while immune-related traits exhibited pronounced enrichment in microglia. CONCLUSIONS Taken together, our study presents a valuable resource for investigating the cellular and molecular architecture of the primate nervous system, thereby expanding our understanding of the mechanisms underlying brain function, aging, and disease.
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Affiliation(s)
- Yun-Mei Wang
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Wen-Chao Wang
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, Yunnan, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Yongzhang Pan
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Lin Zeng
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Jing Wu
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, Yunnan, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Zheng-Bo Wang
- State Key Laboratory of Primate Biomedical Research, Institute of Primate Translational Medicine, Kunming University of Science and Technology, Yunnan Key Laboratory of Primate Biomedical Research, Kunming, 650107, China
| | - Xiao-Lin Zhuang
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Ming-Li Li
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - David N Cooper
- Institute of Medical Genetics, School of Medicine, Cardiff University, Cardiff, CF14 4XN, UK
| | - Sheng Wang
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Yunnan Key Laboratory of Biodiversity Information, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China
| | - Yong Shao
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
| | - Li-Min Wang
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, Yunnan, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Ying-Yin Fan
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, Yunnan, China
- University of Chinese Academy of Sciences, Beijing, 100049, China
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China
| | - Yonghan He
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China.
- Key Laboratory of Healthy Aging Research of Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, China.
- University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Xin-Tian Hu
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China.
- Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences & Yunnan Province, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, Yunnan, China.
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
| | - Dong-Dong Wu
- State Key Laboratory of Genetic Evolution & Animal Models, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, China.
- National Resource Center for Non-Human Primates, Kunming Primate Research Center, and National Research Facility for Phenotypic & Genetic Analysis of Model Animals (Primate Facility), Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650107, Yunnan, China.
- Center for Excellence in Animal Evolution and Genetics, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
- KIZ-CUHK Joint Laboratory of Bioresources and Molecular Research in Common Diseases, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650201, Yunnan, China.
- Kunming Natural History Museum of Zoology, Kunming Institute of Zoology, Chinese Academy of Sciences, Kunming, 650223, Yunnan, China.
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6
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Marino M, Di Pietro P, D’Auria R, Lombardi M, Pastorino GMG, Troisi J, Operto FF, Carrizzo A, Vecchione C, Viggiano A, Meccariello R, Santoro A. Adult Neurogenesis Is Regulated by the Endocannabinoid and Kisspeptin Systems. Int J Mol Sci 2025; 26:3977. [PMID: 40362219 PMCID: PMC12071241 DOI: 10.3390/ijms26093977] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2025] [Revised: 04/13/2025] [Accepted: 04/20/2025] [Indexed: 05/15/2025] Open
Abstract
Neurogenesis is considered the most robust form of plasticity in the adult brain. To better decipher this process, we evaluated the potential crosstalk of Kisspeptin and Endocannabinoid Systems (KPS and ECS, respectively) on hippocampal neurogenesis. Male adolescent rats were exposed to kisspeptin-10 (KP10) and the endocannabinoid anandamide (AEA) administered alone or in combination with the type 1 cannabinoid receptor (CB1R) antagonist SR141716A. The expression of Kiss1 and Kisspeptin receptor (Kiss1R) has been characterized for the first time in rat hippocampus together with the expression of the CB1R and the Transient Receptor Potential Vanilloid 1 ion channel receptor (TRPV1). Results show that both systems inhibit neurogenesis by reducing the extracellular signal-regulated kinase (ERK) signaling. Despite little differences in the expression of Kiss1R and CB1R, TRPV1 is enhanced by both KP10 and AEA treatments, suggesting TRPV1 as a common thread. KP10 administration reduces CB1R expression in the dentate gyrus, while AEA does not. KPS, unlike ECS, promotes the expression of estrogen receptor α (ER-α) and glyceraldehyde-3-phosphate dehydrogenase (GAPDH), also upregulating sirtuin 1 (SIRT1), brain-derived-neurotrophic factor (BDNF), and c-Jun. These findings suggest that the interaction between ECS and KPS could be involved in the fine-tuning of neurogenesis, highlighting a novel role for KPS.
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Affiliation(s)
- Marianna Marino
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
| | - Paola Di Pietro
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
| | - Raffaella D’Auria
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
| | - Martina Lombardi
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
| | - Grazia Maria Giovanna Pastorino
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
- Child and Adolescent Neuropsychiatry Unit, San Giovanni di Dio Ruggi d’Aragona Hospital, 84131 Salerno, Italy;
| | - Jacopo Troisi
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
- Theoreo S.r.l. Montecorvino Pugliano, 84090 Salerno, Italy
| | - Francesca Felicia Operto
- Child and Adolescent Neuropsychiatry Unit, San Giovanni di Dio Ruggi d’Aragona Hospital, 84131 Salerno, Italy;
- Department of Health Sciences, School of Medicine, University Magna Grecia of Catanzaro, 88100 Catanzaro, Italy
| | - Albino Carrizzo
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
- Vascular Physiopathology Unit, IRCCS Neuromed Mediterranean Neurological Institute, 86077 Pozzilli, Italy
| | - Carmine Vecchione
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
- Vascular Physiopathology Unit, IRCCS Neuromed Mediterranean Neurological Institute, 86077 Pozzilli, Italy
| | - Andrea Viggiano
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
| | - Rosaria Meccariello
- Department of Medical, Motor and Wellness Sciences, University of Naples Parthenope, 80133 Napoli, Italy;
| | - Antonietta Santoro
- Department of Medicine, Surgery and Dentistry “Scuola Medica Salernitana”, University of Salerno, 84081 Baronissi, Italy; (M.M.); (P.D.P.); (R.D.); (M.L.); (G.M.G.P.); (J.T.); (A.C.); (C.V.); (A.V.)
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7
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Chen ZH, Pan TB, Zhang YH, Wang B, Sun XL, Gao M, Sun Y, Xu M, Han S, Shi X, Correa-da-Silva F, Yang C, Guo J, Wu H, Li YZ, Liu XQ, Gao F, Xu Z, Xu S, Liu X, Zhu Y, Deng Z, Liu S, Zhou Y, Yi CX, Liu L, Wu QF. Transcriptional conservation and evolutionary divergence of cell types across mammalian hypothalamus development. Dev Cell 2025:S1534-5807(25)00156-X. [PMID: 40203835 DOI: 10.1016/j.devcel.2025.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2024] [Revised: 02/07/2025] [Accepted: 03/14/2025] [Indexed: 04/11/2025]
Abstract
The hypothalamus, an "ancient" subcortical brain structure, maintains physiological homeostasis and controls native behaviors. The evolution of homeostatic regulation and behavioral control in mammals may rely on adaptable neuronal identity establishment but conserved neural patterning mechanisms during neurodevelopment. Here, we combined single-cell, single-nucleus, and spatial transcriptomic datasets to map the spatial patterning of diverse progenitor domains and reconstruct their neurogenic lineages in the developing human and mouse hypothalamus. While the regional organizers orchestrating neural patterning are conserved between primates and rodents, we identified a human-enriched neuronal subtype and found a substantial increase in neuromodulatory gene expression among human neurons. Furthermore, cross-species comparison demonstrated a potential redistribution of two neuroendocrine neuronal subtypes and a shift in inter-transmitter and transmitter-peptide coupling within hypothalamic dopamine neurons. Together, our study lays a critical foundation for understanding cellular development and evolution of the mammalian hypothalamus.
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Affiliation(s)
- Zhen-Hua Chen
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | | | - Yu-Hong Zhang
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; Affiliated Brain Hospital of Guangzhou Medical University, Guangzhou 511436, China
| | - Ben Wang
- Department of Obstetrics and Gynecology, The Third Affiliated Hospital of Chongqing Medical University, Chongqing 401120, China
| | - Xue-Lian Sun
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | | | - Yang Sun
- BGI Research, Beijing 102601, China
| | - Mingrui Xu
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | | | - Xiang Shi
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Felipe Correa-da-Silva
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands; Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA Amsterdam, the Netherlands
| | | | - Junfu Guo
- BGI Research, Beijing 102601, China; BGI Research, Shenzhen 518083, China
| | - Haoda Wu
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Yu Zheng Li
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiu-Qin Liu
- Department of Obstetrics and Gynecology, Baoding Second Central Hospital, Baoding 072750, China
| | - Fei Gao
- State Key Laboratory of Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China
| | - Zhiheng Xu
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China
| | - Shengjin Xu
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Xin Liu
- BGI Research, Beijing 102601, China
| | - Ying Zhu
- Institutes of Brain Science, State Key Laboratory of Medical Neurobiology, Fudan University Shanghai, Shanghai 200032, China
| | | | | | - Yi Zhou
- Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai 200031, China
| | - Chun-Xia Yi
- Department of Endocrinology and Metabolism, Amsterdam University Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, the Netherlands; Netherlands Institute for Neuroscience, Meibergdreef 47, 1105 BA Amsterdam, the Netherlands
| | | | - Qing-Feng Wu
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100101, China; Beijing Key Laboratory for Genetics of Birth Defects, Beijing 100045, China.
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8
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Kim DW, Duncan LH, Xu J, Chang M, Sørensen SS, Terrillion CE, Kanold PO, Place E, Blackshaw S. Decoding Gene Networks Controlling Hypothalamic and Prethalamic Neuron Development. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.01.10.632449. [PMID: 39829936 PMCID: PMC11741371 DOI: 10.1101/2025.01.10.632449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 01/22/2025]
Abstract
Neuronal subtypes derived from the embryonic hypothalamus and prethalamus regulate many essential physiological processes, yet the gene regulatory networks controlling their development remain poorly understood. Using single-cell RNA- and ATAC-sequencing, we analyzed mouse hypothalamic and prethalamic development from embryonic day 11 to postnatal day 8, profiling 660,000 cells in total. This identified key transcriptional and chromatin dynamics driving regionalization, neurogenesis, and differentiation. This identified multiple distinct neural progenitor populations, as well as gene regulatory networks that control their spatial and temporal identities, and their terminal differentiation into major neuronal subtypes. Integrating these results with large-scale genome-wide association study data, we identified a central role for transcription factors controlling supramammillary hypothalamic development in a broad range of metabolic and cognitive traits. Recurring cross-repressive regulatory relationships were observed between transcription factors that induced prethalamic and tuberal hypothalamic identity on the one hand and mammillary and supramammillary hypothalamic identity on the other. In postnatal animals, Dlx1/2 was found to severely disrupt GABAergic neuron specification in both the hypothalamus and prethalamus, resulting in a loss of inhibition of thalamic neurons, hypersensitivity to cold, and behavioral hyperactivity. By identifying core gene regulatory networks controlling the specification and differentiation of major hypothalamic and prethalamic neuronal cell types, this study provides a roadmap for future efforts aimed at preventing and treating a broad range of homeostatic and cognitive disorders.
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Affiliation(s)
- Dong Won Kim
- Danish Research Institute of Translational Neuroscience (DANDRITE), Nordic EMBL Partnership for Molecular Medicine, Aarhus University, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Leighton H. Duncan
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Jenny Xu
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Minzi Chang
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Sara Sejer Sørensen
- Danish Research Institute of Translational Neuroscience (DANDRITE), Nordic EMBL Partnership for Molecular Medicine, Aarhus University, Aarhus, Denmark
- Department of Biomedicine, Aarhus University, Aarhus, Denmark
| | - Chantelle E. Terrillion
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Patrick O. Kanold
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Kavli Neuroscience Discovery Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Elsie Place
- School of Biosciences, University of Sheffield, Firth Court, Western Bank, Sheffield S10 2TN, UK
| | - Seth Blackshaw
- Solomon H. Snyder Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Kavli Neuroscience Discovery Institute, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Ophthalmology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- Institute for Cell Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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9
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Liu C, Li X, Hu Q, Jia Z, Ye Q, Wang X, Zhao K, Liu L, Wang M. Decoding the blueprints of embryo development with single-cell and spatial omics. Semin Cell Dev Biol 2025; 167:22-39. [PMID: 39889540 DOI: 10.1016/j.semcdb.2025.01.002] [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: 09/19/2023] [Revised: 01/18/2025] [Accepted: 01/18/2025] [Indexed: 02/03/2025]
Abstract
Embryonic development is a complex and intricately regulated process that encompasses precise control over cell differentiation, morphogenesis, and the underlying gene expression changes. Recent years have witnessed a remarkable acceleration in the development of single-cell and spatial omic technologies, enabling high-throughput profiling of transcriptomic and other multi-omic information at the individual cell level. These innovations offer fresh and multifaceted perspectives for investigating the intricate cellular and molecular mechanisms that govern embryonic development. In this review, we provide an in-depth exploration of the latest technical advancements in single-cell and spatial multi-omic methodologies and compile a systematic catalog of their applications in the field of embryonic development. We deconstruct the research strategies employed by recent studies that leverage single-cell sequencing techniques and underscore the unique advantages of spatial transcriptomics. Furthermore, we delve into both the current applications, data analysis algorithms and the untapped potential of these technologies in advancing our understanding of embryonic development. With the continuous evolution of multi-omic technologies, we anticipate their widespread adoption and profound contributions to unraveling the intricate molecular foundations underpinning embryo development in the foreseeable future.
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Affiliation(s)
- Chang Liu
- BGI Research, Hangzhou 310030, China; BGI Research, Shenzhen 518083, China; Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan 030001, China; Shenzhen Proof-of-Concept Center of Digital Cytopathology, BGI Research, Shenzhen 518083, China
| | | | - Qinan Hu
- Shenzhen Key Laboratory of Gene Regulation and Systems Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518005, China; Department of Pharmacology, School of Medicine, Southern University of Science and Technology, Shenzhen 518005, China
| | - Zihan Jia
- BGI Research, Hangzhou 310030, China; College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Qing Ye
- BGI Research, Hangzhou 310030, China; China Jiliang University, Hangzhou 310018, China
| | | | - Kaichen Zhao
- College of Biomedicine and Health, College of Life Science and Technology, Huazhong Agricultural University, Wuhan, Hubei 430070, China
| | - Longqi Liu
- BGI Research, Hangzhou 310030, China; Shanxi Medical University-BGI Collaborative Center for Future Medicine, Shanxi Medical University, Taiyuan 030001, China.
| | - Mingyue Wang
- BGI Research, Hangzhou 310030, China; Key Laboratory of Spatial Omics of Zhejiang Province, BGI Research, Hangzhou 310030, China.
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10
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Venkatesan S, Werner JM, Li Y, Gillis J. Cell Type-Agnostic Transcriptomic Signatures Enable Uniform Comparisons of Neurodevelopment. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2025:2025.02.24.639936. [PMID: 40060479 PMCID: PMC11888278 DOI: 10.1101/2025.02.24.639936] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 03/21/2025]
Abstract
Single-cell transcriptomics has revolutionized our understanding of neurodevelopmental cell identities, yet, predicting a cell type's developmental state from its transcriptome remains a challenge. We perform a meta-analysis of developing human brain datasets comprising over 2.8 million cells, identifying both tissue-level and cell-autonomous predictors of developmental age. While tissue composition predicts age within individual studies, it fails to generalize, whereas specific cell type proportions reliably track developmental time across datasets. Training regularized regression models to infer cell-autonomous maturation, we find that a cell type-agnostic model achieves the highest accuracy (error = 2.6 weeks), robustly capturing developmental dynamics across diverse cell types and datasets. This model generalizes to human neural organoids, accurately predicting normal developmental trajectories (R = 0.91) and disease-induced shifts in vitro. Furthermore, it extends to the developing mouse brain, revealing an accelerated developmental tempo relative to humans. Our work provides a unified framework for comparing neurodevelopment across contexts, model systems, and species.
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Affiliation(s)
- Sridevi Venkatesan
- Department of Physiology, University of Toronto, Canada
- Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Canada
- Terrence Donnelly Centre for Cellular and Biomolecular Research, Toronto, Canada
| | - Jonathan M Werner
- Terrence Donnelly Centre for Cellular and Biomolecular Research, Toronto, Canada
| | - Yun Li
- Developmental and Stem Cell Biology, Hospital for Sick Children, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Canada
| | - Jesse Gillis
- Department of Physiology, University of Toronto, Canada
- Terrence Donnelly Centre for Cellular and Biomolecular Research, Toronto, Canada
- Department of Molecular Genetics, University of Toronto, Canada
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11
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Zhuo L, Wang M, Song T, Zhong S, Zeng B, Liu Z, Zhou X, Wang W, Wu Q, He S, Wang X. MAPbrain: a multi-omics atlas of the primate brain. Nucleic Acids Res 2025; 53:D1055-D1065. [PMID: 39420633 PMCID: PMC11701655 DOI: 10.1093/nar/gkae911] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2024] [Revised: 09/26/2024] [Accepted: 10/07/2024] [Indexed: 10/19/2024] Open
Abstract
The brain is the central hub of the entire nervous system. Its development is a lifelong process guided by a genetic blueprint. Understanding how genes influence brain development is critical for deciphering the formation of human cognitive functions and the underlying mechanisms of neurological disorders. Recent advances in multi-omics techniques have now made it possible to explore these aspects comprehensively. However, integrating and analyzing extensive multi-omics data presents significant challenges. Here, we introduced MAPbrain (http://bigdata.ibp.ac.cn/mapBRAIN/), a multi-omics atlas of the primate brain. This repository integrates and normalizes both our own lab's published data and publicly available multi-omics data, encompassing 21 million brain cells from 38 key brain regions and 436 sub-regions across embryonic and adult stages, with 164 time points in humans and non-human primates. MAPbrain offers a unique, robust, and interactive platform that includes transcriptomics, epigenomics, and spatial transcriptomics data, facilitating a comprehensive exploration of brain development. The platform enables the exploration of cell type- and time point-specific markers, gene expression comparison between brain regions and species, joint analyses across transcriptome and epigenome, and navigation of cell types across species, brain regions, and development stages. Additionally, MAPbrain provides an online integration module for users to navigate and analyze their own data within the platform.
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Affiliation(s)
- Liangchen Zhuo
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Mengdi Wang
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Tingrui Song
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Suijuan Zhong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, New Cornerstone Science Laboratory, Beijing Normal University, Beijing 100875, China
| | - Bo Zeng
- Changping Laboratory, Beijing 102206, China
| | - Zeyuan Liu
- Changping Laboratory, Beijing 102206, China
| | - Xin Zhou
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, New Cornerstone Science Laboratory, Beijing Normal University, Beijing 100875, China
| | - Wei Wang
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Qian Wu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, New Cornerstone Science Laboratory, Beijing Normal University, Beijing 100875, China
| | - Shunmin He
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Xiaoqun Wang
- Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, New Cornerstone Science Laboratory, Beijing Normal University, Beijing 100875, China
- Changping Laboratory, Beijing 102206, China
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12
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Chan A, Zhang K, Martin G, Bano S, Chatterjee J, Mahto S, Wang A, Gutmann DH, Brossier NM. Maternal obesogenic diet operates at the tumor cell of origin to increase incidence and decrease latency of neurofibromatosis type 1 optic pathway glioma. Neuro Oncol 2024; 26:2339-2351. [PMID: 39023130 PMCID: PMC11630557 DOI: 10.1093/neuonc/noae136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2023] [Indexed: 07/20/2024] Open
Abstract
BACKGROUND Pediatric low-grade glioma incidence has been rising in the United States, mirroring the rising rates of pediatric and maternal obesity. Recently, children of obese mothers were demonstrated to develop brain tumors at higher rates. Importantly, obesity in the United States is largely driven by diet, given the prevalence of high-fat and high-sugar (HFHS) food choices. Since high-fat diet exposure can increase embryonic neuroglial progenitor cell (NPC) proliferation, the potential cells of origin for a low-grade glioma, we hypothesized that in utero exposure to an obesogenic diet would modify pediatric brain penetrance and latency by affecting the tumor cell of origin. METHODS We employed several murine models of the neurofibromatosis type 1 (NF1) pediatric brain tumor predisposition syndrome, in which optic pathway gliomas (Nf1-OPGs) arise from neuroglial progenitor cells in the embryonic third ventricular zone (TVZ). We exposed dams and offspring to an obesogenic HFHS diet or control chow and analyzed fetal neurodevelopment at E19.5 and tumor formation at 6 weeks-3 months. RESULTS Progeny from HFHS diet-exposed dams demonstrated increased TVZ NPC proliferation and glial differentiation. Dietary switch cohorts confirmed that these effects were dependent upon maternal diet, rather than maternal weight. Obesogenic diet (Ob) similarly accelerated glioma formation in a high-penetrance Nf1-OPG strain and increased glioma penetrance in 2 low-penetrance Nf1-OPG strains. In contrast, Ob exposure in the postnatal period alone did not recapitulate these effects. CONCLUSIONS These findings establish maternal obesogenic diet as a risk factor for murine Nf1-OPG formation, acting in part through in utero effects on the tumor cell of origin.
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Affiliation(s)
- Ambrose Chan
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Kailong Zhang
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Gemma Martin
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sabiha Bano
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jit Chatterjee
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Sarvika Mahto
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Avery Wang
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
| | - David H Gutmann
- Department of Neurology, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Nicole M Brossier
- Department of Pediatrics, Washington University School of Medicine, St. Louis, Missouri, USA
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13
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Werner JM, Gillis J. Meta-analysis of single-cell RNA sequencing co-expression in human neural organoids reveals their high variability in recapitulating primary tissue. PLoS Biol 2024; 22:e3002912. [PMID: 39621752 PMCID: PMC11637388 DOI: 10.1371/journal.pbio.3002912] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2023] [Revised: 12/12/2024] [Accepted: 10/24/2024] [Indexed: 12/14/2024] Open
Abstract
Human neural organoids offer an exciting opportunity for studying inaccessible human-specific brain development; however, it remains unclear how precisely organoids recapitulate fetal/primary tissue biology. We characterize field-wide replicability and biological fidelity through a meta-analysis of single-cell RNA-sequencing data for first and second trimester human primary brain (2.95 million cells, 51 data sets) and neural organoids (1.59 million cells, 173 data sets). We quantify the degree primary tissue cell type marker expression and co-expression are recapitulated in organoids across 10 different protocol types. By quantifying gene-level preservation of primary tissue co-expression, we show neural organoids lie on a spectrum ranging from virtually no signal to co-expression indistinguishable from primary tissue, demonstrating a high degree of variability in biological fidelity among organoid systems. Our preserved co-expression framework provides cell type-specific measures of fidelity applicable to diverse neural organoids, offering a powerful tool for uncovering unifying axes of variation across heterogeneous neural organoid experiments.
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Affiliation(s)
- Jonathan M. Werner
- The Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
| | - Jesse Gillis
- The Stanley Institute for Cognitive Genomics, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, United States of America
- Physiology Department and Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, Canada
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14
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Lee TH, Nicolas JC, Quarta C. Molecular and functional mapping of the neuroendocrine hypothalamus: a new era begins. J Endocrinol Invest 2024; 47:2627-2648. [PMID: 38878127 DOI: 10.1007/s40618-024-02411-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Accepted: 06/08/2024] [Indexed: 10/15/2024]
Abstract
BACKGROUND Recent advances in neuroscience tools for single-cell molecular profiling of brain neurons have revealed an enormous spectrum of neuronal subpopulations within the neuroendocrine hypothalamus, highlighting the remarkable molecular and cellular heterogeneity of this brain area. RATIONALE Neuronal diversity in the hypothalamus reflects the high functional plasticity of this brain area, where multiple neuronal populations flexibly integrate a variety of physiological outputs, including energy balance, stress and fertility, through crosstalk mechanisms with peripheral hormones. Intrinsic functional heterogeneity is also observed within classically 'defined' subpopulations of neuroendocrine neurons, including subtypes with distinct neurochemical signatures, spatial organisation and responsiveness to hormonal cues. AIM The aim of this review is to critically evaluate past and current research on the functional diversity of hypothalamic neuroendocrine neurons and their plasticity. It focuses on how this neuronal plasticity in this brain area relates to metabolic control, feeding regulation and interactions with stress and fertility-related neural circuits. CONCLUSION Our analysis provides an original framework for improving our understanding of the hypothalamic regulation of hormone function and the development of neuroendocrine diseases.
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Affiliation(s)
- T H Lee
- University of Bordeaux, INSERM, Neurocentre Magendie, U1215, 33000, Bordeaux, France
| | - J-C Nicolas
- University of Bordeaux, INSERM, Neurocentre Magendie, U1215, 33000, Bordeaux, France
| | - C Quarta
- University of Bordeaux, INSERM, Neurocentre Magendie, U1215, 33000, Bordeaux, France.
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15
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Sokolowski DJ, Hou H, Yuki KE, Roy A, Chan C, Choi W, Faykoo-Martinez M, Hudson M, Corre C, Uusküla-Reimand L, Goldenberg A, Palmert MR, Wilson MD. Age, sex, and cell type-resolved hypothalamic gene expression across the pubertal transition in mice. Biol Sex Differ 2024; 15:83. [PMID: 39449090 PMCID: PMC11515584 DOI: 10.1186/s13293-024-00661-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/06/2023] [Accepted: 10/07/2024] [Indexed: 10/26/2024] Open
Abstract
BACKGROUND The hypothalamus plays a central role in regulating puberty. However, our knowledge of the postnatal gene regulatory networks that control the pubertal transition in males and females is incomplete. Here, we investigate the age-, sex- and cell-type-specific gene regulation in the hypothalamus across the pubertal transition. METHODS We used RNA-seq to profile hypothalamic gene expression in male and female mice at five time points spanning the onset of puberty (postnatal days (PD) 12, 22, 27, 32, and 37). By combining this data with hypothalamic single nuclei RNA-seq data from pre- and postpubertal mice, we assigned gene expression changes to their most likely cell types of origin. In our colony, pubertal onset occurs earlier in male mice, allowing us to focus on genes whose expression is dynamic across ages and offset between sexes, and to explore the bases of sex effects. RESULTS Our age-by-sex pattern of expression enriched for biological pathways involved hormone production, neuronal activation, and glial maturation. Additionally, we inferred a robust expansion of oligodendrocytes precursor cells into mature oligodendrocytes spanning the prepubertal (PD12) to peri-pubertal (PD27) timepoints. Using spatial transcriptomic data from postpubertal mice, we observed the lateral hypothalamic area and zona incerta were the most oligodendrocyte-rich regions and that these cells expressed genes known to be involved in pubertal regulation. CONCLUSION Together, by incorporating multiple biological timepoints and using sex as a variable, we identified gene and cell-type changes that may participate in orchestrating the pubertal transition and provided a resource for future studies of postnatal hypothalamic gene regulation.
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Affiliation(s)
- Dustin J Sokolowski
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Huayun Hou
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
| | - Kyoko E Yuki
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
| | - Anna Roy
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
| | - Cadia Chan
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, ON, Canada
- Donnelly Centre for Cellular & Biomolecular Research, Toronto, ON, Canada
| | - Wendy Choi
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
- Developmental and Stem Cell Biology, The Hospital for Sick Children, Toronto, ON, Canada
| | - Mariela Faykoo-Martinez
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Cell and Systems Biology, University of Toronto, Toronto, ON, Canada
| | - Matt Hudson
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada
| | - Christina Corre
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
| | | | - Anna Goldenberg
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Department of Computer Science, University of Toronto, Toronto, ON, Canada
- Vector Institute, Toronto, ON, Canada
- CIFAR, Toronto, ON, Canada
| | - Mark R Palmert
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada
- Division of Endocrinology, The Hospital for Sick Children, Toronto, ON, Canada
- Departments of Pediatrics and Physiology, University of Toronto, Toronto, ON, Canada
- Institute of Medical Science, University of Toronto, Toronto, ON, Canada
| | - Michael D Wilson
- Genetics and Genome Biology, SickKids Research Institute, Toronto, ON, Canada.
- Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
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16
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Sharif A, Prevot V. Astrogenesis in the hypothalamus: A life-long process contributing to the development and plasticity of neuroendocrine networks. Front Neuroendocrinol 2024; 75:101154. [PMID: 39226950 DOI: 10.1016/j.yfrne.2024.101154] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 08/27/2024] [Accepted: 08/28/2024] [Indexed: 09/05/2024]
Abstract
Astrocytes are now recognized as integral components of neural circuits, regulating their maturation, activity and plasticity. Neuroendocrinology has provided fertile ground for revealing the diverse strategies used by astrocytes to regulate the physiological and behavioural outcomes of neural circuit activity in response to internal and environmental inputs. However, the development of astrocytes in the hypothalamus has received much less attention than in other brain regions such as the cerebral cortex and spinal cord. In this review, we synthesize our current knowledge of astrogenesis in the hypothalamus across various life stages. A distinctive feature of hypothalamic astrogenesis is that it persists all throughout lifespan, and involves multiple cellular sources corresponding to radial glial cells during early development, followed by tanycytes, parenchymal progenitors and locally dividing astrocytes. Astrogenesis in the hypothalamus is closely coordinated with the maturation of hypothalamic neurons. This coordination is exemplified by recent findings in neurons producing gonadotropin-releasing hormone, which actively shape their astroglial environment during infancy to integrate functionally into their neural network and facilitate sexual maturation, a process vulnerable to endocrine disruption. While hypothalamic astrogenesis shares common principles with other brain regions, it also exhibits specific features in its dynamics and regulation, both at the inter- and intra-regional levels. These unique properties emphasize the importance of further exploration. Additionally, we discuss the experimental strategies used to assess astrogenesis in the hypothalamus and their potential bias and limitations. Understanding the mechanisms of hypothalamic astrogenesis throughout life will be crucial for comprehending the development and function of the hypothalamus under both physiological and pathological conditions.
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Affiliation(s)
- Ariane Sharif
- Univ. Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Neuroendocrine Brain, Lille Neuroscience & Cognition, UMR-S 1172, FHU 1000 Days for Health, Lille, France.
| | - Vincent Prevot
- Univ. Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Neuroendocrine Brain, Lille Neuroscience & Cognition, UMR-S 1172, FHU 1000 Days for Health, Lille, France.
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17
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Jovanovic VM, Narisu N, Bonnycastle LL, Tharakan R, Mesch KT, Glover HJ, Yan T, Sinha N, Sen C, Castellano D, Yang S, Blivis D, Ryu S, Bennett DF, Rosales-Soto G, Inman J, Ormanoglu P, LeClair CA, Xia M, Schneider M, Hernandez-Ochoa EO, Erdos MR, Simeonov A, Chen S, Collins FS, Doege CA, Tristan CA. Scalable Hypothalamic Arcuate Neuron Differentiation from Human Pluripotent Stem Cells Suitable for Modeling Metabolic and Reproductive Disorders. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.06.27.601062. [PMID: 39005353 PMCID: PMC11244856 DOI: 10.1101/2024.06.27.601062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/16/2024]
Abstract
The hypothalamus, composed of several nuclei, is essential for maintaining our body's homeostasis. The arcuate nucleus (ARC), located in the mediobasal hypothalamus, contains neuronal populations with eminent roles in energy and glucose homeostasis as well as reproduction. These neuronal populations are of great interest for translational research. To fulfill this promise, we used a robotic cell culture platform to provide a scalable and chemically defined approach for differentiating human pluripotent stem cells (hPSCs) into pro-opiomelanocortin (POMC), somatostatin (SST), tyrosine hydroxylase (TH) and gonadotropin-releasing hormone (GnRH) neuronal subpopulations with an ARC-like signature. This robust approach is reproducible across several distinct hPSC lines and exhibits a stepwise induction of key ventral diencephalon and ARC markers in transcriptomic profiling experiments. This is further corroborated by direct comparison to human fetal hypothalamus, and the enriched expression of genes implicated in obesity and type 2 diabetes (T2D). Genome-wide chromatin accessibility profiling by ATAC-seq identified accessible regulatory regions that can be utilized to predict candidate enhancers related to metabolic disorders and hypothalamic development. In depth molecular, cellular, and functional experiments unveiled the responsiveness of the hPSC-derived hypothalamic neurons to hormonal stimuli, such as insulin, neuropeptides including kisspeptin, and incretin mimetic drugs such as Exendin-4, highlighting their potential utility as physiologically relevant cellular models for disease studies. In addition, differential glucose and insulin treatments uncovered adaptability within the generated ARC neurons in the dynamic regulation of POMC and insulin receptors. In summary, the establishment of this model represents a novel, chemically defined, and scalable platform for manufacturing large numbers of hypothalamic arcuate neurons and serves as a valuable resource for modeling metabolic and reproductive disorders.
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Affiliation(s)
- Vukasin M. Jovanovic
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
- Hypothalamus Consortium
| | - Narisu Narisu
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Hypothalamus Consortium
| | - Lori L. Bonnycastle
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Hypothalamus Consortium
| | - Ravi Tharakan
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Kendall T. Mesch
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
- Hypothalamus Consortium
| | - Hannah J. Glover
- Naomi Berrie Diabetes Center, Columbia Stem Cell Initiative, Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
- Hypothalamus Consortium
| | - Tingfen Yan
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Hypothalamus Consortium
| | - Neelam Sinha
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Hypothalamus Consortium
| | - Chaitali Sen
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
- Hypothalamus Consortium
| | - David Castellano
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Shu Yang
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Dvir Blivis
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Seungmi Ryu
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Daniel F. Bennett
- Department of Biochemistry and Molecular Biology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Giovanni Rosales-Soto
- Department of Biochemistry and Molecular Biology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Jason Inman
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Pinar Ormanoglu
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Christopher A. LeClair
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Menghang Xia
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Martin Schneider
- Department of Biochemistry and Molecular Biology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Erick O. Hernandez-Ochoa
- Department of Biochemistry and Molecular Biology, School of Medicine, University of Maryland, Baltimore, MD, USA
| | - Michael R. Erdos
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Hypothalamus Consortium
| | - Anton Simeonov
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
| | - Shuibing Chen
- Department of Surgery, Center for Genomic Health, Weill Cornell Medicine, New York, NY 10065, USA
- Hypothalamus Consortium
| | - Francis S. Collins
- Center for Precision Health Research, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA
- Hypothalamus Consortium
| | - Claudia A. Doege
- Naomi Berrie Diabetes Center, Columbia Stem Cell Initiative, Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
- Hypothalamus Consortium
| | - Carlos A. Tristan
- National Center for Advancing Translational Sciences (NCATS), Division of Preclinical Innovation Rockville, MD 20850, USA
- Hypothalamus Consortium
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18
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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] [MESH Headings] [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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19
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Marcos P, Sánchez ML, Coveñas R. Neuropeptides in the hypothalamus. VITAMINS AND HORMONES 2024; 127:1-50. [PMID: 39864939 DOI: 10.1016/bs.vh.2024.07.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2025]
Abstract
The hypothalamus is one of the most complex region in the central nervous system regarding neuroanatomy, neurochemical content, neuropeptide/classical neurotransmitter interactions, physiological actions, and pathophysiology. Hypothalamic neuropeptides have been involved in a large plethora of mechanisms related with obesity, anxiety, feeding, energy metabolism, defensive behavior, mood, and reproduction. The therapeutic potential of these findings is enormous but the physiological complexity occurring in the hypothalamus is huge due in part to the interactions between numerous neuropeptides as well as between neuropeptides and other neuroactive substances. Here, we review the development and neuroanatomy of the hypothalamus as well as the involvement of 31 neuropeptides in hypothalamic functions and pathologies. Alterations in the secretion, release, and/or concentrations of neuropeptides and/or their hypothalamic receptors can trigger different pathologies. Several therapeutic strategies that could be carried out by adjusting neuropeptide levels in the hypothalamus are suggested. The combination of imaging techniques with a detailed neurochemical knowledge of the hypothalamus would be an excellent diagnostic tool, allowing personalized treatment. Several approaches for future research that may contribute to improve or resolve these pathologies are also mentioned.
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Affiliation(s)
- Pilar Marcos
- Human Neuroanatomy Laboratory, Regional Center for Biomedical Research (CRIB), School of Medicine, Universidad de Castilla-La Mancha, Albacete, Spain.
| | - Manuel Lisardo Sánchez
- Laboratory of Neuroanatomy of the Peptidergic Systems, Institute of Neurosciences of Castilla and León (INCYL), University of Salamanca, Salamanca, Spain
| | - Rafael Coveñas
- Laboratory of Neuroanatomy of the Peptidergic Systems, Institute of Neurosciences of Castilla and León (INCYL), University of Salamanca, Salamanca, Spain; Grupo GIR USAL-BMD (Bases Moleculares del Desarrollo), University of Salamanca, Salamanca, Spain
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20
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Bai Y, Chen Q, Li Y. A single-cell transcriptomic study of heterogeneity in human embryonic tanycytes. Sci Rep 2024; 14:15384. [PMID: 38965316 PMCID: PMC11224400 DOI: 10.1038/s41598-024-66044-7] [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: 01/14/2024] [Accepted: 06/26/2024] [Indexed: 07/06/2024] Open
Abstract
Disruptions in energy homeostasis can lead to diseases like obesity and diabetes, affecting millions of people each year. Tanycytes, the adult stem cells in the hypothalamus, play crucial roles in assisting hypothalamic neurons in maintaining energy balance. Although tanycytes have been extensively studied in rodents, our understanding of human tanycytes remains limited. In this study, we utilized single-cell transcriptomics data to explore the heterogeneity of human embryonic tanycytes, investigate their gene regulatory networks, analyze their intercellular communication, and examine their developmental trajectory. Our analysis revealed the presence of two clusters of β tanycytes and three clusters of α tanycytes in our dataset. Surprisingly, human embryonic tanycytes displayed significant similarities to mouse tanycytes in terms of marker gene expression and transcription factor activities. Trajectory analysis indicated that α tanycytes were the first to be generated, giving rise to β tanycytes in a dorsal-ventral direction along the third ventricle. Furthermore, our CellChat analyses demonstrated that tanycytes generated earlier along the developmental lineages exhibited increased intercellular communication compared to those generated later. In summary, we have thoroughly characterized the heterogeneity of human embryonic tanycytes from various angles. We are confident that our findings will serve as a foundation for future research on human tanycytes.
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Affiliation(s)
- Yiguang Bai
- Department of Orthopaedics, The Second Clinical Institute of North Sichuan Medical College Nanchong, Nanchong Central Hospital, Nanchong, Sichuan, China.
- Nanchong Hospital of Beijing Anzhen Hospital Capital Medical University Sichuan, Beijing, China.
| | - Qiaoling Chen
- Department of Oncology, The Second Clinical Institute of North Sichuan Medical College Nanchong, Nanchong Central Hospital, Nanchong, Sichuan, China
- Nanchong Hospital of Beijing Anzhen Hospital Capital Medical University Sichuan, Beijing, China
| | - Yuan Li
- National Bioinformatics Infrastructure Sweden (NBIS), Science for Life Laboratory, Lund University, 223 87, Lund, Sweden.
- Department of Immunotechnology, Lund University, Medicon Village, 22387, Lund, Sweden.
- Human Neural Developmental Biology; BMC B11, Department of Experimental Medical Science Lund, Stem Cell Centre, Lund University, 22184, Lund, Sweden.
- Cell, Tissue & Organ Engineering Laboratory; BMC B11, Department of Clinical Sciences Lund, Stem Cell Centre, Lund University, 22184, Lund, Sweden.
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21
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Valcárcel-Hernández V, Mayerl S, Guadaño-Ferraz A, Remaud S. Thyroid hormone action in adult neurogliogenic niches: the known and unknown. Front Endocrinol (Lausanne) 2024; 15:1347802. [PMID: 38516412 PMCID: PMC10954857 DOI: 10.3389/fendo.2024.1347802] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 02/08/2024] [Indexed: 03/23/2024] Open
Abstract
Over the last decades, thyroid hormones (THs) signaling has been established as a key signaling cue for the proper maintenance of brain functions in adult mammals, including humans. One of the most fascinating roles of THs in the mature mammalian brain is their ability to regulate adult neurogliogenic processes. In this respect, THs control the generation of new neuronal and glial progenitors from neural stem cells (NSCs) as well as their final differentiation and maturation programs. In this review, we summarize current knowledge on the cellular organization of adult rodent neurogliogenic niches encompassing well-established niches in the subventricular zone (SVZ) lining the lateral ventricles, the hippocampal subgranular zone (SGZ), and the hypothalamus, but also less characterized niches in the striatum and the cerebral cortex. We then discuss critical questions regarding how THs availability is regulated in the respective niches in rodents and larger mammals as well as how modulating THs availability in those niches interferes with lineage decision and progression at the molecular, cellular, and functional levels. Based on those alterations, we explore the novel therapeutic avenues aiming at harnessing THs regulatory influences on neurogliogenic output to stimulate repair processes by influencing the generation of either new neurons (i.e. Alzheimer's, Parkinson's diseases), oligodendrocytes (multiple sclerosis) or both (stroke). Finally, we point out future challenges, which will shape research in this exciting field in the upcoming years.
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Affiliation(s)
- Victor Valcárcel-Hernández
- Laboratory Molecular Physiology and Adaptation, CNRS UMR 7221, Department Adaptations of Life, Muséum National d’Histoire Naturelle, Paris, France
| | - Steffen Mayerl
- Department of Endocrinology, Diabetes and Metabolism, University Hospital Essen, University Duisburg-Essen, Essen, Germany
| | - Ana Guadaño-Ferraz
- Department of Neurological Diseases and Aging, Instituto de Investigaciones Biomédicas Sols-Morreale, Consejo Superior de Investigaciones Científicas (CSIC)-Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Sylvie Remaud
- Laboratory Molecular Physiology and Adaptation, CNRS UMR 7221, Department Adaptations of Life, Muséum National d’Histoire Naturelle, Paris, France
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22
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Skowronski AA, Leibel RL, LeDuc CA. Neurodevelopmental Programming of Adiposity: Contributions to Obesity Risk. Endocr Rev 2024; 45:253-280. [PMID: 37971140 PMCID: PMC10911958 DOI: 10.1210/endrev/bnad031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 09/29/2023] [Accepted: 10/19/2023] [Indexed: 11/19/2023]
Abstract
This review analyzes the published evidence regarding maternal factors that influence the developmental programming of long-term adiposity in humans and animals via the central nervous system (CNS). We describe the physiological outcomes of perinatal underfeeding and overfeeding and explore potential mechanisms that may mediate the impact of such exposures on the development of feeding circuits within the CNS-including the influences of metabolic hormones and epigenetic changes. The perinatal environment, reflective of maternal nutritional status, contributes to the programming of offspring adiposity. The in utero and early postnatal periods represent critically sensitive developmental windows during which the hormonal and metabolic milieu affects the maturation of the hypothalamus. Maternal hyperglycemia is associated with increased transfer of glucose to the fetus driving fetal hyperinsulinemia. Elevated fetal insulin causes increased adiposity and consequently higher fetal circulating leptin concentration. Mechanistic studies in animal models indicate important roles of leptin and insulin in central and peripheral programming of adiposity, and suggest that optimal concentrations of these hormones are critical during early life. Additionally, the environmental milieu during development may be conveyed to progeny through epigenetic marks and these can potentially be vertically transmitted to subsequent generations. Thus, nutritional and metabolic/endocrine signals during perinatal development can have lifelong (and possibly multigenerational) impacts on offspring body weight regulation.
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Affiliation(s)
- Alicja A Skowronski
- Division of Molecular Genetics, Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA
- Naomi Berrie Diabetes Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Rudolph L Leibel
- Division of Molecular Genetics, Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA
- Naomi Berrie Diabetes Center, Columbia University Irving Medical Center, New York, NY 10032, USA
| | - Charles A LeDuc
- Division of Molecular Genetics, Department of Pediatrics, Vagelos College of Physicians and Surgeons, Columbia University Irving Medical Center, New York, NY 10032, USA
- Naomi Berrie Diabetes Center, Columbia University Irving Medical Center, New York, NY 10032, USA
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23
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Lei Y, Liang X, Sun Y, Yao T, Gong H, Chen Z, Gao Y, Wang H, Wang R, Huang Y, Yang T, Yu M, Liu L, Yi CX, Wu QF, Kong X, Xu X, Liu S, Zhang Z, Liu T. Region-specific transcriptomic responses to obesity and diabetes in macaque hypothalamus. Cell Metab 2024; 36:438-453.e6. [PMID: 38325338 DOI: 10.1016/j.cmet.2024.01.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 10/27/2023] [Accepted: 01/05/2024] [Indexed: 02/09/2024]
Abstract
The hypothalamus plays a crucial role in the progression of obesity and diabetes; however, its structural complexity and cellular heterogeneity impede targeted treatments. Here, we profiled the single-cell and spatial transcriptome of the hypothalamus in obese and sporadic type 2 diabetic macaques, revealing primate-specific distributions of clusters and genes as well as spatial region, cell-type-, and gene-feature-specific changes. The infundibular (INF) and paraventricular nuclei (PVN) are most susceptible to metabolic disruption, with the PVN being more sensitive to diabetes. In the INF, obesity results in reduced synaptic plasticity and energy sensing capability, whereas diabetes involves molecular reprogramming associated with impaired tanycytic barriers, activated microglia, and neuronal inflammatory response. In the PVN, cellular metabolism and neural activity are suppressed in diabetic macaques. Spatial transcriptomic data reveal microglia's preference for the parenchyma over the third ventricle in diabetes. Our findings provide a comprehensive view of molecular changes associated with obesity and diabetes.
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Affiliation(s)
- Ying Lei
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China
| | - Xian Liang
- State Key Laboratory of Genetic Engineering, Department of Endocrinology and Metabolism, Human Phenome Institute, Institute of Metabolism and Integrative Biology, and School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China; School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Yunong Sun
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China
| | - Ting Yao
- Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Xi'an Jiaotong University School of Medicine, Xi'an, Shanxi 710063, China
| | - Hongyu Gong
- School of Life Sciences, Institues of Biomedical Sciences, Inner Mongolia University, Hohhot 010000, China
| | - Zhenhua Chen
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Yuanqing Gao
- Jiangsu Provincial Key Laboratory of Cardiovascular and Cerebrovascular Medicine, School of Pharmacy, Nanjing Medical University, Nanjing 211166, China
| | - Hui Wang
- School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Ru Wang
- School of Kinesiology, Shanghai University of Sport, Shanghai 200438, China
| | - Yunqi Huang
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China
| | - Tao Yang
- China National GeneBank, BGI-Shenzhen, Shenzhen 518120, China
| | - Miao Yu
- School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Longqi Liu
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China
| | - Chun-Xia Yi
- Department of Endocrinology and Metabolism, Amsterdam University Medical Centers, University of Amsterdam, Meibergdreef 9, 1105AZ Amsterdam, the Netherlands
| | - Qing-Feng Wu
- State Key Laboratory of Molecular Development Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China
| | - Xingxing Kong
- School of Life Sciences, Fudan University, Shanghai 200438, China.
| | - Xun Xu
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China.
| | - Shiping Liu
- BGI-Research, Hangzhou 310012, China; BGI-Research, Shenzhen 518103, China.
| | - Zhi Zhang
- State Key Laboratory of Genetic Engineering, Department of Endocrinology and Metabolism, Human Phenome Institute, Institute of Metabolism and Integrative Biology, and School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China; School of Life Sciences, Fudan University, Shanghai 200438, China.
| | - Tiemin Liu
- State Key Laboratory of Genetic Engineering, Department of Endocrinology and Metabolism, Human Phenome Institute, Institute of Metabolism and Integrative Biology, and School of Life Sciences, Zhongshan Hospital, Fudan University, Shanghai 200438, China; School of Life Sciences, Fudan University, Shanghai 200438, China; School of Life Sciences, Institues of Biomedical Sciences, Inner Mongolia University, Hohhot 010000, China.
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24
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Kaplan HS, Logeman BL, Zhang K, Santiago C, Sohail N, Naumenko S, Ho Sui SJ, Ginty DD, Ren B, Dulac C. Sensory Input, Sex, and Function Shape Hypothalamic Cell Type Development. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.01.23.576835. [PMID: 38328205 PMCID: PMC10849564 DOI: 10.1101/2024.01.23.576835] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2024]
Abstract
Mammalian behavior and physiology undergo dramatic changes in early life. Young animals rely on conspecifics to meet their homeostatic needs, until weaning and puberty initiate nutritional independence and sex-specific social interactions, respectively. How neuronal populations regulating homeostatic functions and social behaviors develop and mature during these transitions remains unclear. We used paired transcriptomic and chromatin accessibility profiling to examine the developmental trajectories of neuronal populations in the hypothalamic preoptic region, where cell types with key roles in physiological and behavioral control have been identified1-6. These data reveal a remarkable diversity of developmental trajectories shaped by the sex of the animal, and the location and behavioral or physiological function of the corresponding cell types. We identify key stages of preoptic development, including the perinatal emergence of sex differences, postnatal maturation and subsequent refinement of signaling networks, and nonlinear transcriptional changes accelerating at the time of weaning and puberty. We assessed preoptic development in various sensory mutants and find a major role for vomeronasal sensing in the timing of preoptic cell type maturation. These results provide novel insights into the development of neurons controlling homeostatic functions and social behaviors and lay ground for examining the dynamics of these functions in early life.
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Affiliation(s)
- Harris S. Kaplan
- Department of Molecular and Cellular Biology, Howard Hughes Medical Institute, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Brandon L. Logeman
- Department of Molecular and Cellular Biology, Howard Hughes Medical Institute, Center for Brain Science, Harvard University, Cambridge, MA, USA
| | - Kai Zhang
- Department of Cellular and Molecular Medicine, Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA 92093, USA
- Current address: Westlake Laboratory of Life Sciences and Biomedicine, School of Life Sciences, Westlake University, Hangzhou, China
| | - Celine Santiago
- Department of Neurobiology, Harvard Medical School, Howard Hughes Medical Institute, 220 Longwood Ave, Boston, MA, 02115, USA
| | - Noor Sohail
- Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA
| | - Serhiy Naumenko
- Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA
- Newborn Screening Ontario, Ottawa, ON, Canada
| | - Shannan J. Ho Sui
- Department of Biostatistics, Harvard Chan School of Public Health, Boston, MA, USA
| | - David D. Ginty
- Department of Neurobiology, Harvard Medical School, Howard Hughes Medical Institute, 220 Longwood Ave, Boston, MA, 02115, USA
| | - Bing Ren
- Department of Cellular and Molecular Medicine, Center for Epigenomics, University of California, San Diego School of Medicine, La Jolla, CA 92093, USA
| | - Catherine Dulac
- Department of Molecular and Cellular Biology, Howard Hughes Medical Institute, Center for Brain Science, Harvard University, Cambridge, MA, USA
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25
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Yang YT, Gan Z, Zhang J, Zhao X, Yang Y, Han S, Wu W, Zhao XM. STAB2: an updated spatio-temporal cell atlas of the human and mouse brain. Nucleic Acids Res 2024; 52:D1033-D1041. [PMID: 37904591 PMCID: PMC10767951 DOI: 10.1093/nar/gkad955] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Revised: 09/30/2023] [Accepted: 10/13/2023] [Indexed: 11/01/2023] Open
Abstract
The brain is constituted of heterogeneous types of neuronal and non-neuronal cells, which are organized into distinct anatomical regions, and show precise regulation of gene expression during development, aging and function. In the current database release, STAB2 provides a systematic cellular map of the human and mouse brain by integrating recently published large-scale single-cell and single-nucleus RNA-sequencing datasets from diverse regions and across lifespan. We applied a hierarchical strategy of unsupervised clustering on the integrated single-cell transcriptomic datasets to precisely annotate the cell types and subtypes in the human and mouse brain. Currently, STAB2 includes 71 and 61 different cell subtypes defined in the human and mouse brain, respectively. It covers 63 subregions and 15 developmental stages of human brain, and 38 subregions and 30 developmental stages of mouse brain, generating a comprehensive atlas for exploring spatiotemporal transcriptomic dynamics in the mammalian brain. We also augmented web interfaces for querying and visualizing the gene expression in specific cell types. STAB2 is freely available at https://mai.fudan.edu.cn/stab2.
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Affiliation(s)
- Yucheng T Yang
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang 313000, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, Huzhou, Zhejiang 313000, China
- Institute of Science and Technology for Brain‐Inspired Intelligence, and Department of Neurology of Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200433, China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
| | - Ziquan Gan
- Institute of Science and Technology for Brain‐Inspired Intelligence, and Department of Neurology of Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200433, China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
| | - Jinglong Zhang
- Institute of Science and Technology for Brain‐Inspired Intelligence, and Department of Neurology of Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200433, China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
| | - Xingzhong Zhao
- Institute of Science and Technology for Brain‐Inspired Intelligence, and Department of Neurology of Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200433, China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
| | - Yifan Yang
- Institute of Science and Technology for Brain‐Inspired Intelligence, and Department of Neurology of Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200433, China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
| | - Shuwen Han
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang 313000, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, Huzhou, Zhejiang 313000, China
| | - Wei Wu
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang 313000, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, Huzhou, Zhejiang 313000, China
| | - Xing-Ming Zhao
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, Zhejiang 313000, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, Huzhou, Zhejiang 313000, China
- Institute of Science and Technology for Brain‐Inspired Intelligence, and Department of Neurology of Zhongshan Hospital, Fudan University, 220 Handan Road, Shanghai 200433, China
- MOE Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence, and MOE Frontiers Center for Brain Science, Fudan University, Shanghai 200433, China
- State Key Laboratory of Medical Neurobiology, Institutes of Brain Science, Fudan University, Shanghai 200032, China
- International Human Phenome Institutes (Shanghai), Shanghai 200433, China
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26
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Herb BR, Glover HJ, Bhaduri A, Colantuoni C, Bale TL, Siletti K, Hodge R, Lein E, Kriegstein AR, Doege CA, Ament SA. Single-cell genomics reveals region-specific developmental trajectories underlying neuronal diversity in the human hypothalamus. SCIENCE ADVANCES 2023; 9:eadf6251. [PMID: 37939194 PMCID: PMC10631741 DOI: 10.1126/sciadv.adf6251] [Citation(s) in RCA: 23] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/02/2022] [Accepted: 10/24/2023] [Indexed: 11/10/2023]
Abstract
The development and diversity of neuronal subtypes in the human hypothalamus has been insufficiently characterized. To address this, we integrated transcriptomic data from 241,096 cells (126,840 newly generated) in the prenatal and adult human hypothalamus to reveal a temporal trajectory from proliferative stem cell populations to mature hypothalamic cell types. Iterative clustering of the adult neurons identified 108 robust transcriptionally distinct neuronal subtypes representing 10 hypothalamic nuclei. Pseudotime trajectories provided insights into the genes driving formation of these nuclei. Comparisons to single-cell transcriptomic data from the mouse hypothalamus suggested extensive conservation of neuronal subtypes despite certain differences in species-enriched gene expression. The uniqueness of hypothalamic neuronal lineages was examined developmentally by comparing excitatory lineages present in cortex and inhibitory lineages in ganglionic eminence, revealing both distinct and shared drivers of neuronal maturation across the human forebrain. These results provide a comprehensive transcriptomic view of human hypothalamus development through gestation and adulthood at cellular resolution.
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Affiliation(s)
- Brian R. Herb
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Pharmacology, University of Maryland School of Medicine, Baltimore, MD, USA
- UM-MIND, University of Maryland School of Medicine, Baltimore, MD, USA
- Kahlert Institute for Addiction Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Hannah J. Glover
- Naomi Berrie Diabetes Center, Columbia Stem Cell Initiative, Department of Pediatrics, Columbia University Irving Medical Center, New York, NY, USA
| | - Aparna Bhaduri
- Department of Biological Chemistry, University of California, Los Angeles, Los Angeles, CA, USA
| | - Carlo Colantuoni
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Tracy L. Bale
- Department of Psychiatry, University of Colorado School of Medicine, Aurora, CO, USA
| | - Kimberly Siletti
- Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden
| | - Rebecca Hodge
- Allen Institute for Brain Science, Seattle, WA 98109
| | - Ed Lein
- Allen Institute for Brain Science, Seattle, WA 98109
| | - Arnold R. Kriegstein
- Department of Neurology, University of California, San Francisco, San Francisco, CA, USA
- The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California, San Francisco, CA, USA
| | - Claudia A. Doege
- Naomi Berrie Diabetes Center, Columbia Stem Cell Initiative, Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New York, NY, USA
| | - Seth A. Ament
- Institute for Genome Sciences, University of Maryland School of Medicine, Baltimore, MD, USA
- UM-MIND, University of Maryland School of Medicine, Baltimore, MD, USA
- Kahlert Institute for Addiction Medicine, University of Maryland School of Medicine, Baltimore, MD, USA
- Maryland Psychiatric Research Center, Department of Psychiatry, University of Maryland School of Medicine, Baltimore, MD, USA
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27
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Fong H, Zheng J, Kurrasch D. The structural and functional complexity of the integrative hypothalamus. Science 2023; 382:388-394. [PMID: 37883552 DOI: 10.1126/science.adh8488] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2023] [Accepted: 09/28/2023] [Indexed: 10/28/2023]
Abstract
The hypothalamus ("hypo" meaning below, and "thalamus" meaning bed) consists of regulatory circuits that support basic life functions that ensure survival. Sitting at the interface between peripheral, environmental, and neural inputs, the hypothalamus integrates these sensory inputs to influence a range of physiologies and behaviors. Unlike the neocortex, in which a stereotyped cytoarchitecture mediates complex functions across a comparatively small number of neuronal fates, the hypothalamus comprises upwards of thousands of distinct cell types that form redundant yet functionally discrete circuits. With single-cell RNA sequencing studies revealing further cellular heterogeneity and modern photonic tools enabling high-resolution dissection of complex circuitry, a new era of hypothalamic mapping has begun. Here, we provide a general overview of mammalian hypothalamic organization, development, and connectivity to help welcome newcomers into this exciting field.
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Affiliation(s)
- Harmony Fong
- Department of Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Jing Zheng
- Department of Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - Deborah Kurrasch
- Department of Medical Genetics, Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
- Alberta Children's Hospital Research Institute, University of Calgary, Calgary, AB, Canada
- Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
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28
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Sarrafha L, Neavin DR, Parfitt GM, Kruglikov IA, Whitney K, Reyes R, Coccia E, Kareva T, Goldman C, Tipon R, Croft G, Crary JF, Powell JE, Blanchard J, Ahfeldt T. Novel human pluripotent stem cell-derived hypothalamus organoids demonstrate cellular diversity. iScience 2023; 26:107525. [PMID: 37646018 PMCID: PMC10460991 DOI: 10.1016/j.isci.2023.107525] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2023] [Revised: 06/19/2023] [Accepted: 07/31/2023] [Indexed: 09/01/2023] Open
Abstract
The hypothalamus is a region of the brain that plays an important role in regulating body functions and behaviors. There is a growing interest in human pluripotent stem cells (hPSCs) for modeling diseases that affect the hypothalamus. Here, we established an hPSC-derived hypothalamus organoid differentiation protocol to model the cellular diversity of this brain region. Using an hPSC line with a tyrosine hydroxylase (TH)-TdTomato reporter for dopaminergic neurons (DNs) and other TH-expressing cells, we interrogated DN-specific pathways and functions in electrophysiologically active hypothalamus organoids. Single-cell RNA sequencing (scRNA-seq) revealed diverse neuronal and non-neuronal cell types in mature hypothalamus organoids. We identified several molecularly distinct hypothalamic DN subtypes that demonstrated different developmental maturities. Our in vitro 3D hypothalamus differentiation protocol can be used to study the development of this critical brain structure and can be applied to disease modeling to generate novel therapeutic approaches for disorders centered around the hypothalamus.
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Affiliation(s)
- Lily Sarrafha
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Department of Neurology, Mount Sinai, New York, NY 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
| | - Drew R. Neavin
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia
| | - Gustavo M. Parfitt
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
| | | | - Kristen Whitney
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Department of Pathology, Molecular, and Cell-Based Medicine, Mount Sinai, New York, NY 10029, USA
| | - Ricardo Reyes
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Department of Neurology, Mount Sinai, New York, NY 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
| | - Elena Coccia
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Department of Neurology, Mount Sinai, New York, NY 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
| | - Tatyana Kareva
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Department of Neurology, Mount Sinai, New York, NY 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
| | - Camille Goldman
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Department of Neurology, Mount Sinai, New York, NY 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
| | - Regine Tipon
- New York Stem Cell Foundation, New York, NY 10019, USA
| | - Gist Croft
- New York Stem Cell Foundation, New York, NY 10019, USA
| | - John F. Crary
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Department of Pathology, Molecular, and Cell-Based Medicine, Mount Sinai, New York, NY 10029, USA
- Windreich Department of Artificial Intelligence and Human Health, Mount Sinai, New York, NY 10029, USA
| | - Joseph E. Powell
- Garvan-Weizmann Centre for Cellular Genomics, Garvan Institute of Medical Research, Darlinghurst, Sydney, NSW 2010, Australia
- UNSW Cellular Genomics Futures Institute, University of New South Wales, Kensington, Sydney, NSW 2052, Australia
| | - Joel Blanchard
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
| | - Tim Ahfeldt
- Nash Family Department of Neuroscience, Mount Sinai, New York, NY 10029, USA
- Department of Neurology, Mount Sinai, New York, NY 10029, USA
- Department of Cell, Developmental and Regenerative Biology, Mount Sinai, New York, NY 10029, USA
- Ronald M. Loeb Center for Alzheimer’s Disease, Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Mount Sinai, New York, NY 10029, USA
- Black Family Stem Cell Institute, Mount Sinai, New York, NY 10029, USA
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29
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Wang X, Liu D, Luo J, Kong D, Zhang Y. Exploring the Role of Enhancer-Mediated Transcriptional Regulation in Precision Biology. Int J Mol Sci 2023; 24:10843. [PMID: 37446021 PMCID: PMC10342031 DOI: 10.3390/ijms241310843] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/18/2023] [Accepted: 06/25/2023] [Indexed: 07/15/2023] Open
Abstract
The emergence of precision biology has been driven by the development of advanced technologies and techniques in high-resolution biological research systems. Enhancer-mediated transcriptional regulation, a complex network of gene expression and regulation in eukaryotes, has attracted significant attention as a promising avenue for investigating the underlying mechanisms of biological processes and diseases. To address biological problems with precision, large amounts of data, functional information, and research on the mechanisms of action of biological molecules is required to address biological problems with precision. Enhancers, including typical enhancers and super enhancers, play a crucial role in gene expression and regulation within this network. The identification and targeting of disease-associated enhancers hold the potential to advance precision medicine. In this review, we present the concepts, progress, importance, and challenges in precision biology, transcription regulation, and enhancers. Furthermore, we propose a model of transcriptional regulation for multi-enhancers and provide examples of their mechanisms in mammalian cells, thereby enhancing our understanding of how enhancers achieve precise regulation of gene expression in life processes. Precision biology holds promise in providing new tools and platforms for discovering insights into gene expression and disease occurrence, ultimately benefiting individuals and society as a whole.
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Affiliation(s)
- Xueyan Wang
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Danli Liu
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Jing Luo
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Dashuai Kong
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
| | - Yubo Zhang
- College of Life Science and Technology, Huazhong Agricultural University, Wuhan 430070, China;
- Shenzhen Branch, Guangdong Laboratory of Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518120, China; (D.L.); (J.L.); (D.K.)
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30
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Zeng B, Liu Z, Lu Y, Zhong S, Qin S, Huang L, Zeng Y, Li Z, Dong H, Shi Y, Yang J, Dai Y, Ma Q, Sun L, Bian L, Han D, Chen Y, Qiu X, Wang W, Marín O, Wu Q, Wang Y, Wang X. The single-cell and spatial transcriptional landscape of human gastrulation and early brain development. Cell Stem Cell 2023; 30:851-866.e7. [PMID: 37192616 PMCID: PMC10241223 DOI: 10.1016/j.stem.2023.04.016] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Revised: 03/14/2023] [Accepted: 04/17/2023] [Indexed: 05/18/2023]
Abstract
The emergence of the three germ layers and the lineage-specific precursor cells orchestrating organogenesis represent fundamental milestones during early embryonic development. We analyzed the transcriptional profiles of over 400,000 cells from 14 human samples collected from post-conceptional weeks (PCW) 3 to 12 to delineate the dynamic molecular and cellular landscape of early gastrulation and nervous system development. We described the diversification of cell types, the spatial patterning of neural tube cells, and the signaling pathways likely involved in transforming epiblast cells into neuroepithelial cells and then into radial glia. We resolved 24 clusters of radial glial cells along the neural tube and outlined differentiation trajectories for the main classes of neurons. Lastly, we identified conserved and distinctive features across species by comparing early embryonic single-cell transcriptomic profiles between humans and mice. This comprehensive atlas sheds light on the molecular mechanisms underlying gastrulation and early human brain development.
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Affiliation(s)
- Bo Zeng
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Changping Laboratory, Beijing 102206, China
| | - Zeyuan Liu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Changping Laboratory, Beijing 102206, China
| | - Yufeng Lu
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Suijuan Zhong
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Changping Laboratory, Beijing 102206, China
| | - Shenyue Qin
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, UK; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, UK
| | - Luwei Huang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yang Zeng
- State Key Laboratory of Experimental Hematology, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100071, China
| | - Zixiao Li
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing 100069, China
| | - Hao Dong
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yingchao Shi
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Guangdong Institute of Intelligence Science and Technology, Guangdong 519031, China
| | - Jialei Yang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Yalun Dai
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Qiang Ma
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Le Sun
- Beijing Institute of Brain Disorders, Capital Medical University, Beijing 100069, China
| | - Lihong Bian
- Department of Gynecology, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100071, China
| | - Dan Han
- Department of Obstetrics & Gynecology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Youqiao Chen
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China
| | - Xin Qiu
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China
| | - Wei Wang
- State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China
| | - Oscar Marín
- Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London SE1 1UL, UK; MRC Centre for Neurodevelopmental Disorders, King's College London, London SE1 1UL, UK.
| | - Qian Wu
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; Changping Laboratory, Beijing 102206, China.
| | - Yongjun Wang
- China National Clinical Research Center for Neurological Diseases, Beijing 100070, China; Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing 100070, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing 100069, China.
| | - Xiaoqun Wang
- State Key Laboratory of Cognitive Neuroscience and Learning, IDG/McGovern Institute for Brain Research, Beijing Normal University, Beijing 100875, China; State Key Laboratory of Brain and Cognitive Science, Institute of Biophysics, Chinese Academy of Sciences, Beijing 100101, China; Beijing Institute of Brain Disorders, Capital Medical University, Beijing 100069, China; Guangdong Institute of Intelligence Science and Technology, Guangdong 519031, China; Changping Laboratory, Beijing 102206, China; New Cornerstone Science Laboratory, Beijing Normal University, Beijing 100875, China.
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31
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Wang Y, Madhusudan S, Cotellessa L, Kvist J, Eskici N, Yellapragada V, Pulli K, Lund C, Vaaralahti K, Tuuri T, Giacobini P, Raivio T. Deciphering the Transcriptional Landscape of Human Pluripotent Stem Cell-Derived GnRH Neurons: The Role of Wnt Signaling in Patterning the Neural Fate. Stem Cells 2022; 40:1107-1121. [PMID: 36153707 PMCID: PMC9806769 DOI: 10.1093/stmcls/sxac069] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2022] [Accepted: 09/14/2022] [Indexed: 01/05/2023]
Abstract
Hypothalamic gonadotropin-releasing hormone (GnRH) neurons lay the foundation for human development and reproduction; however, the critical cell populations and the entangled mechanisms underlying the development of human GnRH neurons remain poorly understood. Here, by using our established human pluripotent stem cell-derived GnRH neuron model, we decoded the cellular heterogeneity and differentiation trajectories at the single-cell level. We found that a glutamatergic neuron population, which generated together with GnRH neurons, showed similar transcriptomic properties with olfactory sensory neuron and provided the migratory path for GnRH neurons. Through trajectory analysis, we identified a specific gene module activated along the GnRH neuron differentiation lineage, and we examined one of the transcription factors, DLX5, expression in human fetal GnRH neurons. Furthermore, we found that Wnt inhibition could increase DLX5 expression and improve the GnRH neuron differentiation efficiency through promoting neurogenesis and switching the differentiation fates of neural progenitors into glutamatergic neurons/GnRH neurons. Our research comprehensively reveals the dynamic cell population transition and gene regulatory network during GnRH neuron differentiation.
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Affiliation(s)
- Yafei Wang
- Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Shrinidhi Madhusudan
- Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Ludovica Cotellessa
- Univ. Lille, Inserm, CHU Lille, Laboratory of Development and Plasticity of the Postnatal Brain, Lille Neuroscience & Cognition, UMR-S1172, Lille, France
| | - Jouni Kvist
- Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Nazli Eskici
- Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Venkatram Yellapragada
- Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Kristiina Pulli
- Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Carina Lund
- Folkhälsan Research Center, Helsinki, Finland
| | - Kirsi Vaaralahti
- Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland,New Children’s Hospital, Pediatric Research Center, Helsinki University Hospital, Helsinki, Finland
| | - Timo Tuuri
- Department of Obstetrics and Gynecology, Helsinki University Hospital, Helsinki, Finland
| | | | - Taneli Raivio
- Corresponding author: Taneli Raivio, Stem Cells and Metabolism Research Program, Research Programs Unit, and Department of Physiology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
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García-García RD, Garay-Pacheco E, Marín-Llera JC, Chimal-Monroy J. Recombinant Limb Assay as in Vivo Organoid Model. Front Cell Dev Biol 2022; 10:863140. [PMID: 35557939 PMCID: PMC9086426 DOI: 10.3389/fcell.2022.863140] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2022] [Accepted: 04/04/2022] [Indexed: 11/13/2022] Open
Abstract
Organ formation initiates once cells become committed to one of the three embryonic germ layers. In the early stages of embryogenesis, different gene transcription networks regulate cell fate after each germ layer is established, thereby directing the formation of complex tissues and functional organs. These events can be modeled in vitro by creating organoids from induced pluripotent, embryonic, or adult stem cells to study organ formation. Under these conditions, the induced cells are guided down the developmental pathways as in embryonic development, resulting in an organ of a smaller size that possesses the essential functions of the organ of interest. Although organoids are widely studied, the formation of skeletal elements in an organoid model has not yet been possible. Therefore, we suggest that the formation of skeletal elements using the recombinant limb (RL) assay system can serve as an in vivo organoid model. RLs are formed from undissociated or dissociated-reaggregated undifferentiated mesodermal cells introduced into an ectodermal cover obtained from an early limb bud. Next, this filled ectoderm is grafted into the back of a donor chick embryo. Under these conditions, the cells can receive the nascent embryonic signals and develop complex skeletal elements. We propose that the formation of skeletal elements induced through the RL system may occur from stem cells or other types of progenitors, thus enabling the study of morphogenetic properties in vivo from these cells for the first time.
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Affiliation(s)
| | | | | | - Jesús Chimal-Monroy
- Departamento de Medicina Genómica y Toxicología Ambiental, Instituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, Ciudad Universitaria, Ciudad de México, México
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