Evidence map›Paper›PMID 39363111›Full record

ArticleExperimental & molecular medicine2024

An integrative single-cell atlas for exploring the cellular and temporal specificity of genes related to neurological disorders during human brain development.

Seoyeon Kim, Jihae Lee, In Gyeong Koh, Jungeun Ji, Hyun Jung Kim, Eunha Kim, Jihwan Park, Jong-Eun Park, Joon-Yong An

Abstract read
In one paragraph

Article in Experimental & molecular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing 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

23 citing papers in PubMed.

  1. Article
  2. Genes · 2026
    Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Genetic and Cortical Cell-Type Liability Architecture of Autism.bioRxiv : the preprint server for biology · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

9 authors.

Seoyeon Kim *Department of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea.ORCID 0000-0001-9184-7087
Jihae Lee *School of Biosystem and Biomedical Science, College of Health Science, Korea University, Seoul, Republic of Korea.
In Gyeong KohDepartment of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea.
Jungeun JiDepartment of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea.
Hyun Jung KimDepartment of Biomedical Sciences, College of Medicine, Korea University, Seoul, Republic of Korea.
Eunha KimDepartment of Neuroscience, College of Medicine, Korea University, Seoul, Republic of Korea.ORCID 0000-0001-7041-1727
Jihwan ParkSchool of Life Sciences, Gwangju Institute of Science and Technology (GIST), Gwangju, Republic of Korea.ORCID 0000-0002-5728-912X
Jong-Eun ParkGraduate School of Medical Science and Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.
Joon-Yong AnDepartment of Integrated Biomedical and Life Science, Korea University, Seoul, Republic of Korea. joonan30@korea.ac.kr.ORCID 0000-0001-8839-6297

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell technologies have enhanced comprehensive knowledge regarding the human brain by facilitating an extensive transcriptomic census across diverse brain regions. Nevertheless, understanding the cellular and temporal specificity of neurological disorders remains ambiguous due to developmental variations. To address this gap, we illustrated the dynamics of disorder risk gene expression under development by integrating multiple single-cell RNA sequencing datasets. We constructed a comprehensive single-cell atlas of the developing human brain, encompassing 393,060 single cells across diverse developmental stages. Temporal analysis revealed the distinct expression patterns of disorder risk genes, including those associated with autism, highlighting their temporal regulation in different neuronal and glial lineages. We identified distinct neuronal lineages that diverged across developmental stages, each exhibiting temporal-specific expression patterns of disorder-related genes. Lineages of nonneuronal cells determined by molecular profiles also showed temporal-specific expression, indicating a link between cellular maturation and the risk of disorder. Furthermore, we explored the regulatory mechanisms involved in early brain development, revealing enriched patterns of fetal cell types associated with neuronal disorders indicative of the prenatal stage's influence on disease determination. Our findings facilitate unbiased comparisons of cell type‒disorder associations and provide insight into dynamic alterations in risk genes during development, paving the way for a deeper understanding of neurological disorders.

Indexed as

BrainNervous System DiseasesSingle-Cell AnalysisGene Expression ProfilingGene Expression Regulation, DevelopmentalHumansNeurogliaNeuronsTranscriptome

Identifiers

PMID39363111
PMCPMC11541755

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Registered trials

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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.