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Charting the human-specific properties of gene expression networks in the infant prefrontal cortex

  • Jonathan Klavert
  • , Djawad Radjabzadeh
  • , Erlantz Gonzalez Sanchez
  • , Bas Castelijns
  • , Ilia S Timpanaro
  • , Joachim Boers
  • , Federica Fabro
  • , Gerjanne Vroeg In de Wei
  • , Eric Bindels
  • , Ivanela Kondova
  • , Joost Gribnau
  • , Menno P Creyghton*
  • *Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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Abstract

Human infancy is characterized by protracted brain development coinciding with sensitive periods of extensive synaptic remodeling. Whether this is supported by human infant-specific transcriptional programs is unknown as comparative material in closely related primate species was unavailable. Here, we analyze rare newborn chimpanzee and age-matched human and rhesus macaque brain samples using single-cell transcriptomics and epigenomics. We identify a human infant-specific transcriptional program in immature oligodendrocytes that is overrepresented in autism risk genes and patient gene expression changes. Furthermore, a human infant-specific transcriptional program in the neural lineage is overrepresented in Parkinson's disease risk genes and patient gene expression changes. Both of these programs are part of a core transcriptional network that contains human-specific sequence changes in regulatory DNA and lacks cell lineage specificity. Our study provides insights into the stage-specific properties of human evolution during early infancy and sheds light on the human-specific propensities to neural disease.

Original languageEnglish
Article numbereaea3316
JournalScience advances
Volume12
Issue number23
DOIs
Publication statusPublished - 5 Jun 2026

Keywords

  • Animals
  • Autistic Disorder/genetics
  • Gene Expression Regulation, Developmental
  • Gene Regulatory Networks
  • Humans
  • Infant
  • Macaca mulatta
  • Oligodendroglia/metabolism
  • Pan troglodytes
  • Parkinson Disease/genetics
  • Prefrontal Cortex/metabolism
  • Single-Cell Gene Expression Analysis
  • Transcriptome

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