Cited by 259Neurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene RegulationSingle-cell and spatial transcriptomics

The DOI matches its Crossref record; 45 of the 45 references it cites were found in a registry or an index; none of the 22 sources its claims cite is checked for support yet.

Early emergence of cortical interneuron diversity in the mouse embryo

Open access

Abstract

Embryonic hints of adult diversity: The adult brain contains dozens of different types of interneurons that control and refine neuronal circuits. Mi et al. used single-cell transcriptomics to investigate when these subtypes emerge during interneuron development in the mouse. Transcriptomes of embryonic interneurons showed similarities to adult classes of differentiated interneurons, thus dividing the immature embryonic interneurons themselves into classes. Nearly a dozen classes of embryonic neurons could be identified soon after their last mitosis by transcriptomic similarity with known classes of adult cortical interneurons. Thus, the fate of embryonic interneurons can be read in their transcriptomes well before the neurons migrate and reach their final sites of differentiation and circuit integration. Science , this issue p. 81

Overview

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Registry

Crossref · 10.1126/science.aar6821

Cites

45 of 45 references verified0 citation errors · 0 not checkable

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Claims the paper makes

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Show all 37 claims

  • Probably not a substantial claim. 2
  • It may state two separate claims as one. 10
11 of 11
  • The paper relies on this without support.

    Transcriptional similarity between embryonic and adult neurons is sufficient to assign embryonic neurons to adult interneuron cell types.

    “We then assigned prospective identities to embryonic neurons based on transcriptional similarity with adult interneurons.”
    “We then used the identified adult interneuron cell types to annotate the embryonic dataset using the RF classification workflow”
  • The paper relies on this without support.

    Changes in the relative proportion or density of SST+ and PV+ interneurons after Maf manipulation reflect altered fate specification rather than differences in survival, proliferation, or migration.

    “We found that widespread expression of Maf in MGE progenitors increases the relative proportion of SST+ interneurons at the expense of PV+ cells (Fig. 4F and fig. S24C).”
    “Conversely, conditional loss of Maf from MGE progenitor cells decreases the density of cortical SST+ interneurons (Fig. 4, G and H).”
  • The paper relies on this without support.

    Regressing out cell cycle-dependent genes removes their influence without distorting cell type identification.

    “We performed regression analysis on these cells to remove the influence of cell cycle-dependent genes in cell type identification (fig. S1G).”
3 of 3

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Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Overlap of eight subtypes exceeds the six found by one method

    Major

    The RF approach identified six prospective embryonic subtypes. An overlap between the RF and CCA approaches cannot contain eight subtypes if the RF approach identified only six.

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Metadata

Authors
Mi, D., Li, Z., Lim, L., Li, M., Moissidis, M., Yang, Y., Gao, T., Hu, T. X., Pratt, T., Price, D. J., Sestan, N., & Marín, O.
Affiliations
  • King's College London (GB)
  • Yale University (US)
  • University of Edinburgh (GB)
  • Harvard University (US)
  • Department of Neuroscience and Kavli Institute for Neuroscience, Yale School of Medicine, New Haven, CT 06510, USA.
  • Centre for Developmental Neurobiology, Institute of Psychiatry, Psychology, and Neuroscience, King’s College London, London SE1 1UL, UK.
Corresponding author
  • Mi, Da
  • Li, Zhen
Venue
Science
Published
2018-04-06
Volume
360
Issue
6384
Pages
81-85
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2789083734
Cited by
259
References
45
Citations by year
2026: 14 · 2025: 18 · 2024: 21 · 2023: 32 · 2022: 30 · 2021: 41 · 2020: 39 · 2019: 37 · 2018: 26
FWCI
13.14
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Research Portal (King's College London) (submittedVersion, other-oa)
  • Edinburgh Research Explorer (University of Edinburgh) (submittedVersion, other-oa)
Funders
  • Wellcome Trust (103714MA)
  • Medical Research Council (N012291)
  • Biotechnology and Biological Sciences Research Council (N006542)
  • National Institute for Health (NS095654, MH106934)
Topics
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
Keywords
cortical interneurons, GABAergic neurons, interneuron diversity, ganglionic eminence, neural progenitor cells, cortical development, transcriptional programs, single-cell transcriptomics, mouse embryo, postmitotic neurons, neuronal differentiation
MeSH terms
Animals, Cerebral Cortex, Embryo, Mammalian, Female, Interneurons, Male, Mice, Inbred Strains, Mitosis, Transcription, Genetic, Gene Expression Profiling, Mice, Neurogenesis, Neural Stem Cells, Single-Cell Analysis, GABAergic Neurons, Transcriptome

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