Genetic and epigenetic coordination of cortical interneuron development.

Animals Cell Differentiation Cell Movement Cerebral Cortex / cytology Epigenesis, Genetic Female Gene Regulatory Networks Interneurons / cytology MEF2 Transcription Factors / genetics Male Mice Mice, Knockout Neurogenesis Parvalbumins / metabolism RNA-Seq Single-Cell Analysis Somatostatin / metabolism

Journal

Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462

Informations de publication

Date de publication:
09 2021
Historique:
received: 06 04 2020
accepted: 18 08 2021
pubmed: 24 9 2021
medline: 8 2 2022
entrez: 23 9 2021
Statut: ppublish

Résumé

One of the hallmarks of the cerebral cortex is the extreme diversity of interneurons

Identifiants

DOI: 10.1038/s41586-021-03933-1 PMID: 34552240 PMC: PMC9316417
pubmed: 34552240
doi: 10.1038/s41586-021-03933-1
pii: 10.1038/s41586-021-03933-1
pmc: PMC9316417
mid: NIHMS1818259
doi:

Substances chimiques

MEF2 Transcription Factors 0
Mef2c protein, mouse 0
Parvalbumins 0
Somatostatin 51110-01-1

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

693-697

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH071679
Pays : United States
Organisme : NINDS NIH HHS
ID : F31 NS103398
Pays : United States
Organisme : NIAID NIH HHS
ID : R01 AI130945
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM122515
Pays : United States
Organisme : NIDDK NIH HHS
ID : R01 DK103358
Pays : United States
Organisme : NIMH NIH HHS
ID : UG3 MH120096
Pays : United States
Organisme : NIMH NIH HHS
ID : R37 MH071679
Pays : United States
Organisme : NINDS NIH HHS
ID : R01 NS081297
Pays : United States

Informations de copyright

© 2021. The Author(s), under exclusive licence to Springer Nature Limited.

Références

Ascoli, G. A. et al. Petilla terminology: Nomenclature of features of GABAergic interneurons of the cerebral cortex. Nat. Rev. Neurosci. 9, 557–568 (2008).
pubmed: 18568015 doi: 10.1038/nrn2402
Defelipe, J. et al. New insights into the classification and nomenclature of cortical GABAergic interneurons. Nat. Rev. Neurosci. 14, 202–216 (2013).
pubmed: 23385869 pmcid: 3619199 doi: 10.1038/nrn3444
Kepecs, A. & Fishell, G. Interneuron cell types are fit to function. Nature 505, 318–326 (2014).
pubmed: 24429630 pmcid: 4349583 doi: 10.1038/nature12983
Mayer, C. et al. Clonally related forebrain interneurons disperse broadly across both functional areas and structural boundaries. Neuron 87, 989–998 (2015).
pubmed: 26299473 pmcid: 4560602 doi: 10.1016/j.neuron.2015.07.011
Harwell, C. C. et al. Wide dispersion and diversity of clonally related inhibitory interneurons. Neuron 87, 999–1007 (2015).
pubmed: 26299474 pmcid: 4581718 doi: 10.1016/j.neuron.2015.07.030
Freund, T. F. Interneuron diversity series: rhythm and mood in perisomatic inhibition. Trends Neurosci. 26, 489–495 (2003).
pubmed: 12948660 doi: 10.1016/S0166-2236(03)00227-3
Tremblay, R., Lee, S. & Rudy, B. GABAergic interneurons in the neocortex: from cellular properties to circuits. Neuron 91, 260–292 (2016).
pubmed: 27477017 pmcid: 4980915 doi: 10.1016/j.neuron.2016.06.033
Mayer, C. et al. Developmental diversification of cortical inhibitory interneurons. Nature 555, 457–462 (2018).
pubmed: 29513653 pmcid: 6052457 doi: 10.1038/nature25999
Mi, D. et al. Early emergence of cortical interneuron diversity in the mouse embryo. Science 360, 81–85 (2018).
pubmed: 29472441 pmcid: 6195193 doi: 10.1126/science.aar6821
Wonders, C. P. et al. A spatial bias for the origins of interneuron subgroups within the medial ganglionic eminence. Dev. Biol. 314, 127–136 (2008).
pubmed: 18155689 doi: 10.1016/j.ydbio.2007.11.018
Batista-Brito, R. & Fishell, G. The developmental integration of cortical interneurons into a functional network. Curr. Top. Dev. Biol. 87, 81–118 (2009).
pubmed: 19427517 pmcid: 4465088 doi: 10.1016/S0070-2153(09)01203-4
Wang, Y. et al. Dlx5 and Dlx6 regulate the development of parvalbumin-expressing cortical interneurons. J. Neurosci. 30, 5334–5345 (2010).
pubmed: 20392955 pmcid: 2919857 doi: 10.1523/JNEUROSCI.5963-09.2010
Pai, E. L.-L. et al. Mafb and c-Maf have prenatal compensatory and postnatal antagonistic roles in cortical interneuron fate and function. Cell Rep. 26, 1157–1173.e5 (2019).
pubmed: 30699346 pmcid: 6602795 doi: 10.1016/j.celrep.2019.01.031
Pai, E. L.-L. et al. Maf and Mafb control mouse pallial interneuron fate and maturation through neuropsychiatric disease gene regulation. eLife 9, e54903 (2020).
pubmed: 32452758 pmcid: 7282818 doi: 10.7554/eLife.54903
Ma, S. et al. Chromatin potential identified by shared single-cell profiling of RNA and chromatin. Cell 183, 1103–1116.e20 (2020).
pubmed: 33098772 doi: 10.1016/j.cell.2020.09.056 pmcid: 7669735
Sinnamon, J. R. et al. The accessible chromatin landscape of the murine hippocampus at single-cell resolution. Genome Res. 29, 857–869 (2019).
pubmed: 30936163 pmcid: 6499306 doi: 10.1101/gr.243725.118
Preissl, S. et al. Single-nucleus analysis of accessible chromatin in developing mouse forebrain reveals cell-type-specific transcriptional regulation. Nat. Neurosci. 21, 432–439 (2018).
pubmed: 29434377 pmcid: 5862073 doi: 10.1038/s41593-018-0079-3
Fang, R. et al. Comprehensive analysis of single cell ATAC-seq data with SnapATAC. Nat. Commun. 12, 1337 (2021).
pubmed: 33637727 pmcid: 7910485 doi: 10.1038/s41467-021-21583-9
Stuart, T. et al. Comprehensive integration of single-cell data. Cell 177, 1888–1902.e21 (2019).
pubmed: 31178118 pmcid: 6687398 doi: 10.1016/j.cell.2019.05.031
Barkas, N. et al. Joint analysis of heterogeneous single-cell RNA-seq dataset collections. Nat. Methods 16, 695–698 (2019).
pubmed: 31308548 pmcid: 6684315 doi: 10.1038/s41592-019-0466-z
Miyoshi, G. & Fishell, G. GABAergic interneuron lineages selectively sort into specific cortical layers during early postnatal development. Cereb. Cortex 21, 845–852 (2011).
pubmed: 20732898 doi: 10.1093/cercor/bhq155
Batista-Brito, R. et al. The cell-intrinsic requirement of Sox6 for cortical interneuron development. Neuron 63, 466–481 (2009).
pubmed: 19709629 pmcid: 2773208 doi: 10.1016/j.neuron.2009.08.005
Azim, E., Jabaudon, D., Fame, R. M. & MacKlis, J. D. SOX6 controls dorsal progenitor identity and interneuron diversity during neocortical development. Nat. Neurosci. 12, 1238–1247 (2009).
pubmed: 19657336 pmcid: 2903203 doi: 10.1038/nn.2387
Au, E. et al. A modular gain-of-function approach to generate cortical interneuron subtypes from ES cells. Neuron 80, 1145–1158 (2013).
pubmed: 24314726 pmcid: 5085060 doi: 10.1016/j.neuron.2013.09.022
Castro, D. M., de Veaux, N. R., Miraldi, E. R. & Bonneau, R. Multi-study inference of regulatory networks for more accurate models of gene regulation. PLoS Comput. Biol. 15, 1–22 (2019).
doi: 10.1371/journal.pcbi.1006591
Yadav, T., Quivy, J.-P. & Almouzni, G. Chromatin plasticity: a versatile landscape that underlies cell fate and identity. Science 361, 1332–1336 (2018).
pubmed: 30262494 doi: 10.1126/science.aat8950
Ladstätter, S. & Tachibana, K. Genomic insights into chromatin reprogramming to totipotency in embryos. J. Cell Biol. 218, 70–82 (2019).
pubmed: 30257850 pmcid: 6314560 doi: 10.1083/jcb.201807044
Harrington, A. J. et al. MEF2C regulates cortical inhibitory and excitatory synapses and behaviors relevant to neurodevelopmental disorders. eLife 5, e20059 (2016).
pubmed: 27779093 pmcid: 5094851 doi: 10.7554/eLife.20059
Cosgrove, D. et al. Genes influenced by MEF2C contribute to neurodevelopmental disease via gene expression changes that affect multiple types of cortical excitatory neurons. Hum. Mol. Genet. 30, 961–970 (2021).
pubmed: 32975584 doi: 10.1093/hmg/ddaa213
Monory, K. et al. The endocannabinoid system controls key epileptogenic circuits in the hippocampus. Neuron 51, 455–466 (2006).
pubmed: 16908411 pmcid: 1769341 doi: 10.1016/j.neuron.2006.07.006
Madisen, L. et al. A robust and high-throughput Cre reporting and characterization system for the whole mouse brain. Nat. Neurosci. 13, 133–140 (2010).
pubmed: 20023653 doi: 10.1038/nn.2467
Mo, A. et al. Epigenomic signatures of neuronal diversity in the mammalian brain. Neuron 86, 1369–1384 (2015).
pubmed: 26087164 pmcid: 4499463 doi: 10.1016/j.neuron.2015.05.018
Vong, L. H., Ragusa, M. J. & Schwarz, J. J. Generation of conditional Mef2c
pubmed: 16106363 doi: 10.1002/gene.20152
Fogarty, M. et al. Spatial genetic patterning of the embryonic neuroepithelium generates GABAergic interneuron diversity in the adult cortex. J. Neurosci. 27, 10935–10946 (2007).
pubmed: 17928435 pmcid: 6672847 doi: 10.1523/JNEUROSCI.1629-07.2007
Tirosh, I. et al. Single-cell RNA-seq supports a developmental hierarchy in human oligodendroglioma. Nature 539, 309–313 (2016).
pubmed: 27806376 pmcid: 5465819 doi: 10.1038/nature20123
Setty, M. et al. Characterization of cell fate probabilities in single-cell data with Palantir. Nat. Biotechnol. 37, 451–460 (2019).
pubmed: 30899105 pmcid: 7549125 doi: 10.1038/s41587-019-0068-4
Street, K. et al. Slingshot: cell lineage and pseudotime inference for single-cell transcriptomics. BMC Genomics 19, 477 (2018).
pubmed: 29914354 pmcid: 6007078 doi: 10.1186/s12864-018-4772-0
Gabitto, M. I. et al. Characterizing chromatin landscape from aggregate and single-cell genomic assays using flexible duration modeling. Nat. Commun. 11, 1–10 (2020).
doi: 10.1038/s41467-020-14497-5
Heinz, S. et al. Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities. Mol. Cell 38, 576–589 (2010).
pubmed: 20513432 pmcid: 2898526 doi: 10.1016/j.molcel.2010.05.004
Stroud, H. et al. An activity-mediated transition in transcription in early postnatal neurons. Neuron 107, 874–890.e8 (2020).
pubmed: 32589877 pmcid: 7486250 doi: 10.1016/j.neuron.2020.06.008
Liu, N. et al. Direct promoter repression by BCL11A controls the fetal to adult hemoglobin switch. Cell 173, 430–442.e17 (2018).
pubmed: 29606353 pmcid: 5889339 doi: 10.1016/j.cell.2018.03.016
Zhu, Q., Liu, N., Orkin, S. H. & Yuan, G.-C. CUT&RUNTools: a flexible pipeline for CUT&RUN processing and footprint analysis. Genome Biol. 20, 192 (2019).
pubmed: 31500663 pmcid: 6734249 doi: 10.1186/s13059-019-1802-4
Pliner, H. et al. Chromatin accessibility dynamics of myogenesis at single cell resolution. Preprint at https://doi.org/10.1101/155473 (2017).
Jackson, C. & Skok Gibbs, C. Inferelator example data and scripts. https://doi.org/10.5281/zenodo.3355524 (2019).

Auteurs

Kathryn C Allaway (KC)

Neuroscience Institute, New York University, New York, NY, USA.
Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.

Mariano I Gabitto (MI)

Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA.

Orly Wapinski (O)

Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.

Giuseppe Saldi (G)

Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
Department of Biology, New York University, New York, NY, USA.
ORCID: 0000-0002-9994-7354

Chen-Yu Wang (CY)

Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
ORCID: 0000-0002-3912-5113

Rachel C Bandler (RC)

Neuroscience Institute, New York University, New York, NY, USA.
Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.

Sherry Jingjing Wu (SJ)

Department of Neurobiology, Harvard Medical School, Boston, MA, USA.
Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA.
ORCID: 0000-0001-9625-1661

Richard Bonneau (R)

Center for Computational Biology, Flatiron Institute, Simons Foundation, New York, NY, USA. rbonneau@flatironinstitute.org.
Department of Biology, New York University, New York, NY, USA. rbonneau@flatironinstitute.org.
Center for Data Science, New York University, New York, NY, USA. rbonneau@flatironinstitute.org.
ORCID: 0000-0003-4354-7906

Gord Fishell (G)

Department of Neurobiology, Harvard Medical School, Boston, MA, USA. Gordon_Fishell@hms.harvard.edu.
Stanley Center for Psychiatric Research, Broad Institute, Cambridge, MA, USA. Gordon_Fishell@hms.harvard.edu.
ORCID: 0000-0002-9640-9278

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Classifications MeSH

questionsmedicales.fr › Eucaryotes › Animaux › Genetic and epigenetic coordination of...
questionsmedicales.fr › Phénomènes physiologiques cellulaires › Différenciation cellulaire › Genetic and epigenetic coordination of...
questionsmedicales.fr › Phénomènes physiologiques › Mouvement cellulaire › Genetic and epigenetic coordination of...
questionsmedicales.fr › Système nerveux › Système nerveux central › Encéphale › Prosencéphale › Télencéphale › Cerveau › Cortex cérébral › Genetic and epigenetic coordination of...
questionsmedicales.fr › Phénomènes génétiques › Régulation de l'expression des gènes › Épigenèse génétique › Genetic and epigenetic coordination of...
questionsmedicales.fr › Phénomènes génétiques › Structures génétiques › Séquences d'acides nucléiques régulatrices › Réseaux de régulation génique › Genetic and epigenetic coordination of...
questionsmedicales.fr › Cellules › Neurones › Interneurones › Genetic and epigenetic coordination of...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Facteurs de transcription › Protéines à domaine MADS › Facteurs de transcription MEF2 › Genetic and epigenetic coordination of...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Rodentia › Muridae › Murinae › Souris › Genetic and epigenetic coordination of...
questionsmedicales.fr › Eucaryotes › Animaux › Chordés › Vertébrés › Mammifères › Eutheria › Rodentia › Muridae › Murinae › Souris › Souris transgéniques › Souris knockout › Genetic and epigenetic coordination of...
questionsmedicales.fr › Phénomènes physiologiques de l'appareil locomoteur et du système nerveux › Phénomènes physiologiques du système nerveux › Neurogenèse › Genetic and epigenetic coordination of...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Protéines contractiles › Protéines du muscle › Parvalbumines › Genetic and epigenetic coordination of...
questionsmedicales.fr › Techniques d'investigation › Techniques génétiques › Analyse de séquence › Analyse de séquence d'ARN › RNA-Seq › Genetic and epigenetic coordination of...
questionsmedicales.fr › Techniques d'investigation › Techniques cytologiques › Analyse sur cellule unique › Genetic and epigenetic coordination of...
questionsmedicales.fr › Acides aminés, peptides et protéines › Protéines › Protéines de tissu nerveux › Neuropeptides › Hormones hypothalamiques › Hormones hypothalamiques hypophysotropes inhibitrices › Somatostatine › Genetic and epigenetic coordination of...