Evidence map›Paper›PMID 33723434›Full record

ArticleNature neuroscience2021

Single-cell atlas of early human brain development highlights heterogeneity of human neuroepithelial cells and early radial glia.

Ugomma C Eze, Aparna Bhaduri, Maximilian Haeussler, Tomasz J Nowakowski, Arnold R Kriegstein

Abstract read
In one paragraph

Article in Nature neuroscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 270 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
270citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

270 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Variable expression ofProceedings of the National Academy of Sciences of the United States of America · 2024
    Pooled it
  4. Pooled it
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Article
  17. When to create embryos or organoids for research.Journal of medical ethics · 2026
    Article
  18. Article
  19. Article
  20. Article

210 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Ugomma C Eze *Department of Neurology, University of California, San Francisco (UCSF), San Francisco, CA, USA.ORCID http://orcid.org/0000-0001-8142-6318
Aparna Bhaduri *Department of Neurology, University of California, San Francisco (UCSF), San Francisco, CA, USA. Aparna.Bhaduri@ucsf.edu.ORCID http://orcid.org/0000-0003-4625-6899
Maximilian HaeusslerGenomics Institute, University of California, Santa Cruz, Santa Cruz, CA, USA.ORCID http://orcid.org/0000-0001-8721-8253
Tomasz J NowakowskiDepartment of Neurology, University of California, San Francisco (UCSF), San Francisco, CA, USA.ORCID http://orcid.org/0000-0003-2345-4964
Arnold R KriegsteinDepartment of Neurology, University of California, San Francisco (UCSF), San Francisco, CA, USA. Arnold.Kriegstein@ucsf.edu.ORCID http://orcid.org/0000-0001-5742-2990

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Development and Expansion of the Human Cerebral CortexR35NS097305 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRIEGSTEIN, ARNOLD · 2017 to 2024
$8.5M
A Cellular Resolution Census of the Developing Human BrainU01MH114825 · NIMH · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, ERIC J, KRIEGSTEIN, ARNOLD · 2017 to 2021
$6.7M
Understanding Brain Development Through the Lens of MetabolismR00NS111731 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BHADURI, APARNA · 2021 to 2023
$738k
Understanding Brain Development Through the Lens of MetabolismK99NS111731 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BHADURI, APARNA · 2019 to 2020
$204k
Identifying developmental trajectories characterized in the neuroepithelial stem cell to radial glia transition using single-cell transcriptomicsF31NS117121 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI EZE, UGOMMA · 2020 to 2023
$175k
Using Single-Cell RNA Sequencing to Characterize Regional Differences in Cortical DevelopmentF32NS103266 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BHADURI, APARNA · 2017 to 2018
$108k
Medical Research Council MR/R006237/1NIGMS NIH HHS T32 GM007618NIMH NIH HHS U01 MH114825NINDS NIH HHS F31 NS117121NINDS NIH HHS F32 NS103266NINDS NIH HHS K99 NS111731NINDS NIH HHS R00 NS111731NINDS NIH HHS R35 NS097305
6 · The paper itself

Abstract

The human cortex comprises diverse cell types that emerge from an initially uniform neuroepithelium that gives rise to radial glia, the neural stem cells of the cortex. To characterize the earliest stages of human brain development, we performed single-cell RNA-sequencing across regions of the developing human brain, including the telencephalon, diencephalon, midbrain, hindbrain and cerebellum. We identify nine progenitor populations physically proximal to the telencephalon, suggesting more heterogeneity than previously described, including a highly prevalent mesenchymal-like population that disappears once neurogenesis begins. Comparison of human and mouse progenitor populations at corresponding stages identifies two progenitor clusters that are enriched in the early stages of human cortical development. We also find that organoid systems display low fidelity to neuroepithelial and early radial glia cell types, but improve as neurogenesis progresses. Overall, we provide a comprehensive molecular and spatial atlas of early stages of human brain and cortical development.

Indexed as

NeurogenesisAnimalsCerebral CortexEpendymoglial CellsHumansNeural Stem CellsNeuroepithelial CellsSingle-Cell Analysis

Identifiers

PMID33723434
PMCPMC8012207

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.