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Human brain development research is advancing rapidly using big data from genomic and epigenomic datasets. New brain organoid models are helping scientists understand early human brain development and gene regulation.

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Area of Science:

  • Developmental neuroscience
  • Genomics
  • Stem cell biology

Background:

  • Human brain development involves critical cell fate decisions during inaccessible embryonic and fetal stages.
  • Recent advancements in atlases, databases, and biological models are improving insights into this period.

Purpose of the Study:

  • To review the current state of genomic, transcriptomic, and epigenomic datasets for normal human brain development.
  • To highlight the role of single-cell technologies and brain organoids in this research area.

Main Methods:

  • Analysis of existing genomic, transcriptomic, and epigenomic datasets.
  • Utilizing single-cell technologies to chart developmental trajectories.
  • Comparing fetal brain tissue with brain organoids derived from pluripotent stem cells.

Main Results:

  • Identification of gene regulatory networks active in early brain development through comparative studies.
  • Demonstration of brain organoids as a viable model for studying human neural lineages and transcriptional dynamics.
  • Integration of multi-omics data to characterize normal human brain development.

Conclusions:

  • Large-scale multi-omics investigations have ushered brain development into the 'big data' era.
  • Transversal approaches combining fetal brain and organoid data are crucial for answering fundamental questions in brain biology and psychiatry.