Evidence map›Paper›PMID 39567748›Full record

ArticleNature genetics2024

A temporal cortex cell atlas highlights gene expression dynamics during human brain maturation.

Christina Steyn, Ruvimbo Mishi, Stephanie Fillmore, Matthijs B Verhoog, Jessica More, Ursula K Rohlwink, Roger Melvill, James Butler, Johannes M N Enslin, Muazzam Jacobs and 7 more

Abstract read
In one paragraph

Article in Nature genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
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  4. bioRxiv : the preprint server for biology · 2026
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Christina SteynDivision of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-8365-4928
Ruvimbo MishiDivision of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-8166-1155
Stephanie FillmoreDivision of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-3647-0085
Matthijs B VerhoogDivision of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-8500-1795
Jessica MoreDivision of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.
Ursula K RohlwinkNeuroscience Institute, University of Cape Town, Cape Town, South Africa.
Roger MelvillDivision of Neurosurgery, Department of Surgery, University of Cape Town, Cape Town, South Africa.
James ButlerNeuroscience Institute, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0003-1978-6894
Johannes M N EnslinNeuroscience Institute, University of Cape Town, Cape Town, South Africa.
Muazzam JacobsNeuroscience Institute, University of Cape Town, Cape Town, South Africa.
Tatjana Sauka-SpenglerRadcliffe Department of Medicine, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Maria GrecoSingle Cell Facility, MRC Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, UK.
Sadi QuiñonesDepartment of Neuroscience, Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA.
Chris G DullaDepartment of Neuroscience, Graduate School of Biomedical Sciences, Tufts University School of Medicine, Boston, MA, USA.
Joseph V RaimondoDivision of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa.ORCID http://orcid.org/0000-0002-8266-3128
Anthony FigajiNeuroscience Institute, University of Cape Town, Cape Town, South Africa.
Dorit HockmanDivision of Cell Biology, Department of Human Biology, University of Cape Town, Cape Town, South Africa. dorit.hockman@uct.ac.za.ORCID http://orcid.org/0000-0003-2613-6216

Funding

Using Single Cell Biological Approaches to Understand CNS TBR01NS133998 · NINDS · TUFTS UNIVERSITY BOSTON · PI DULLA, CHRIS G · 2023 to 2025
$1.4M
Utilizing Single Cell Biological Approaches to Understand CNS TBR21TW011225 · FIC · TUFTS UNIVERSITY BOSTON · PI DULLA, CHRIS G, JACOBS, MUAZZAM · 2019 to 2020
$291k
European Molecular Biology Organization (EMBO) ALTF 415-2018FIC NIH HHS R21 TW011225National Research Foundation (NRF) CSRP210415595025NINDS NIH HHS R01 NS133998Royal Society FCG\R1\201023U.S. Department of Health & Human Services | National Institutes of Health (NIH) TW011225
6 · The paper itself

Abstract

The human brain undergoes protracted postnatal maturation, guided by dynamic changes in gene expression. Most studies exploring these processes have used bulk tissue analyses, which mask cell-type-specific gene expression dynamics. Here, using single-nucleus RNA sequencing on temporal lobe tissue, including samples of African ancestry, we build a joint pediatric and adult atlas of 75 cell subtypes, which we verify with spatial transcriptomics. We explore the differences between pediatric and adult cell subtypes, revealing the genes and pathways that change during brain maturation. Our results highlight excitatory neuron subtypes, including the LTK and FREM subtypes, that show elevated expression of genes associated with cognition and synaptic plasticity in pediatric tissue. The resources we present here improve our understanding of the brain during its development and contribute to global efforts to build an inclusive brain cell map.

Indexed as

Temporal LobeTranscriptomeAdolescentAdultAtlases as TopicBrainChildChild, PreschoolFemaleGene Expression ProfilingGene Expression Regulation, DevelopmentalHumansMaleNeuronsSequence Analysis, RNA

Identifiers

PMID39567748
PMCPMC11631765

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.