Ontogenetic rules for the molecular diversification of hypothalamic neurons View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2022-07-29

AUTHORS

Marco Benevento, Tomas Hökfelt, Tibor Harkany

ABSTRACT

The hypothalamus is an evolutionarily conserved endocrine interface that, among other roles, links central homeostatic control to adaptive bodily responses by releasing hormones and neuropeptides from its many neuronal subtypes. In its preoptic, anterior, tuberal and mammillary subdivisions, a kaleidoscope of magnocellular and parvocellular neuroendocrine command neurons, local-circuit neurons, and neurons that project to extrahypothalamic areas are intermingled in partially overlapping patches of nuclei. Molecular fingerprinting has produced data of unprecedented mass and depth to distinguish and even to predict the synaptic and endocrine competences, connectivity and stimulus selectivity of many neuronal modalities. These new insights support eminent studies from the past century but challenge others on the molecular rules that shape the developmental segregation of hypothalamic neuronal subtypes and their use of morphogenic cues for terminal differentiation. Here, we integrate single-cell RNA sequencing studies with those of mouse genetics and endocrinology to describe key stages of hypothalamus development, including local neurogenesis, the direct terminal differentiation of glutamatergic neurons, transition cascades for GABAergic and GABAergic cell-derived dopamine cells, waves of local neuronal migration, and sequential enrichment in neuropeptides and hormones. We particularly emphasize how transcription factors determine neuronal identity and, consequently, circuit architecture, and whether their deviations triggered by environmental factors and hormones provoke neuroendocrine illnesses. More... »

PAGES

611-627

References to SciGraph publications

  • 2021-11-18. GnRH neurons recruit astrocytes in infancy to facilitate network integration and sexual maturation in NATURE NEUROSCIENCE
  • 2018-05-23. Dlx1/2 and Otp coordinate the production of hypothalamic GHRH- and AgRP-neurons in NATURE COMMUNICATIONS
  • 2020-08-13. Cellular and molecular properties of neural progenitors in the developing mammalian hypothalamus in NATURE COMMUNICATIONS
  • 2020-08-31. The cellular and molecular landscape of hypothalamic patterning and differentiation from embryonic to late postnatal development in NATURE COMMUNICATIONS
  • 2012-08-02. Leptin signaling and circuits in puberty and fertility in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2015-11-05. Genes and brain malformations associated with abnormal neuron positioning in MOLECULAR BRAIN
  • 2012-07-11. Epigenetic Inheritance of Disease and Disease Risk in NEUROPSYCHOPHARMACOLOGY
  • 2018-06-05. Development of neuroendocrine neurons in the mammalian hypothalamus in CELL AND TISSUE RESEARCH
  • 2004-09-27. Sexual differentiation of the vertebrate nervous system in NATURE NEUROSCIENCE
  • 2020-02-17. Spatiotemporal single-cell analysis of gene expression in the mouse suprachiasmatic nucleus in NATURE NEUROSCIENCE
  • 2009-07-02. Neurobiological consequences of maternal cannabis on human fetal development and its neuropsychiatric outcome in EUROPEAN ARCHIVES OF PSYCHIATRY AND CLINICAL NEUROSCIENCE
  • 2012-05-31. Effects of thermal environment on sleep and circadian rhythm in JOURNAL OF PHYSIOLOGICAL ANTHROPOLOGY
  • 2008-05-27. Galanin – 25 years with a multitalented neuropeptide in CELLULAR AND MOLECULAR LIFE SCIENCES
  • 2020. Neuroanatomy of the Mouse, An Introduction in NONE
  • 2021-05-21. Cannabis and synaptic reprogramming of the developing brain in NATURE REVIEWS NEUROSCIENCE
  • 1994-03. Turning of nerve growth cones induced by neurotransmitters in NATURE
  • 2017-02-06. A molecular census of arcuate hypothalamus and median eminence cell types in NATURE NEUROSCIENCE
  • 2019-10-04. Urocortins in the mammalian endocrine system in ACTA VETERINARIA SCANDINAVICA
  • 2014-06-01. Leptin signaling in astrocytes regulates hypothalamic neuronal circuits and feeding in NATURE NEUROSCIENCE
  • 2019-01-28. Functional identity of hypothalamic melanocortin neurons depends on Tbx3 in NATURE METABOLISM
  • 2010-05-02. A genomic atlas of mouse hypothalamic development in NATURE NEUROSCIENCE
  • 2001-03-01. Multiple roles of eph receptors and ephrins in neural development in NATURE REVIEWS NEUROSCIENCE
  • 2018-07-09. The maternal vaginal microbiome partially mediates the effects of prenatal stress on offspring gut and hypothalamus in NATURE NEUROSCIENCE
  • 2010-03-25. Neurogenic radial glia in the outer subventricular zone of human neocortex in NATURE
  • 2021-05-17. Functionally distinct POMC-expressing neuron subpopulations in hypothalamus revealed by intersectional targeting in NATURE NEUROSCIENCE
  • 2020-04-13. Hypothalamic oestrogen receptor alpha establishes a sexually dimorphic regulatory node of energy expenditure in NATURE METABOLISM
  • 2016-12-19. Molecular interrogation of hypothalamic organization reveals distinct dopamine neuronal subtypes in NATURE NEUROSCIENCE
  • 1975-09. Immunofluorescence of vasopressin and oxytocin in the rat hypothalamo-neurohypophyseal system in JOURNAL OF NEURAL TRANSMISSION
  • 2018-04-17. Feeding circuit development and early-life influences on future feeding behaviour in NATURE REVIEWS NEUROSCIENCE
  • 1999-09. Growth-cone attraction to netrin-1 is converted to repulsion by laminin-1 in NATURE
  • 2015-06-17. Single-cell chromatin accessibility reveals principles of regulatory variation in NATURE
  • 2021-01-21. Gene regulatory networks controlling differentiation, survival, and diversification of hypothalamic Lhx6-expressing GABAergic neurons in COMMUNICATIONS BIOLOGY
  • 2019-01-09. Single-cell microRNA-mRNA co-sequencing reveals non-genetic heterogeneity and mechanisms of microRNA regulation in NATURE COMMUNICATIONS
  • 2010-03-28. Pomc-expressing progenitors give rise to antagonistic neuronal populations in hypothalamic feeding circuits in NATURE MEDICINE
  • 2007. Neurotransmitters and the Development of Neuronal Circuits in AXON GROWTH AND GUIDANCE
  • 2004-08. The floating blueprint of hypothalamic feeding circuits in NATURE REVIEWS NEUROSCIENCE
  • 2021-01-11. The histone H3-lysine 4-methyltransferase Mll4 regulates the development of growth hormone-releasing hormone-producing neurons in the mouse hypothalamus in NATURE COMMUNICATIONS
  • 2020-05-06. Molecular design of hypothalamus development in NATURE
  • 2020-09-15. Single-cell sequencing techniques from individual to multiomics analyses in EXPERIMENTAL & MOLECULAR MEDICINE
  • 2019-02-12. Distinct Subsets of Lateral Hypothalamic Neurotensin Neurons are Activated by Leptin or Dehydration in SCIENTIFIC REPORTS
  • 2012-03-20. The many faces of insulin-like peptide signalling in the brain in NATURE REVIEWS NEUROSCIENCE
  • 2018-10-31. Shared and distinct transcriptomic cell types across neocortical areas in NATURE
  • 2011-02-09. Functional identification of an aggression locus in the mouse hypothalamus in NATURE
  • 2012-09-12. Mind-altering microorganisms: the impact of the gut microbiota on brain and behaviour in NATURE REVIEWS NEUROSCIENCE
  • 2002-09. Excitatory actions of gaba during development: the nature of the nurture in NATURE REVIEWS NEUROSCIENCE
  • 2009-10. Evolution of the neocortex: a perspective from developmental biology in NATURE REVIEWS NEUROSCIENCE
  • 2016-04-13. Somatostatin triggers rhythmic electrical firing in hypothalamic GHRH neurons in SCIENTIFIC REPORTS
  • 2013-11-08. AMPA-silent synapses in brain development and pathology in NATURE REVIEWS NEUROSCIENCE
  • 2020-04-30. Nutrition and its role in epigenetic inheritance of obesity and diabetes across generations in MAMMALIAN GENOME
  • 2021-05-10. Integrating barcoded neuroanatomy with spatial transcriptional profiling enables identification of gene correlates of projections in NATURE NEUROSCIENCE
  • 2020-06-11. Neurons that regulate mouse torpor in NATURE
  • 2020-11-03. Neuronal tangential migration from Nkx2.1-positive hypothalamus in BRAIN STRUCTURE AND FUNCTION
  • 2001-10-29. Dynamic regulation of axon guidance in NATURE NEUROSCIENCE
  • 2014-07-17. Endocannabinoids modulate cortical development by configuring Slit2/Robo1 signalling in NATURE COMMUNICATIONS
  • 2019-05-13. Proneural factors Ascl1 and Neurog2 contribute to neuronal subtype identities by establishing distinct chromatin landscapes in NATURE NEUROSCIENCE
  • 2021-04-02. Control of Systemic Metabolism by Astrocytes in the Brain in GLIAL-NEURONAL SIGNALING IN NEUROENDOCRINE SYSTEMS
  • 1980-04. Peptidergic neurones in NATURE
  • 2016-05-02. A microRNA switch regulates the rise in hypothalamic GnRH production before puberty in NATURE NEUROSCIENCE
  • 2019-03-11. Single-cell transcriptomic analysis of the lateral hypothalamic area reveals molecularly distinct populations of inhibitory and excitatory neurons in NATURE NEUROSCIENCE
  • 2019-11-18. Life-long epigenetic programming of cortical architecture by maternal ‘Western’ diet during pregnancy in MOLECULAR PSYCHIATRY
  • 2018-12-10. Role of astrocytes, microglia, and tanycytes in brain control of systemic metabolism in NATURE NEUROSCIENCE
  • 2013-11-20. Temporal fate specification and neural progenitor competence during development in NATURE REVIEWS NEUROSCIENCE
  • 2001-02. Neurons derived from radial glial cells establish radial units in neocortex in NATURE
  • 2019-08-16. Single cell transcriptome analysis of developing arcuate nucleus neurons uncovers their key developmental regulators in NATURE COMMUNICATIONS
  • 1989-03. Origin of luteinizing hormone-releasing hormone neurons in NATURE
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/s41583-022-00615-3

    DOI

    http://dx.doi.org/10.1038/s41583-022-00615-3

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1149842713

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/35906427


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