Human intermediate progenitor diversity during cortical development

Proc Natl Acad Sci U S A. 2021 Jun 29;118(26):e2019415118. doi: 10.1073/pnas.2019415118.

Abstract

Studies of the spatiotemporal, transcriptomic, and morphological diversity of radial glia (RG) have spurred our current models of human corticogenesis. In the developing cortex, neural intermediate progenitor cells (nIPCs) are a neuron-producing transit-amplifying cell type born in the germinal zones of the cortex from RG. The potential diversity of the nIPC population, that produces a significant portion of excitatory cortical neurons, is understudied, particularly in the developing human brain. Here we explore the spatiotemporal, transcriptomic, and morphological variation that exists within the human nIPC population and provide a resource for future studies. We observe that the spatial distribution of nIPCs in the cortex changes abruptly around gestational week (GW) 19/20, marking a distinct shift in cellular distribution and organization during late neurogenesis. We also identify five transcriptomic subtypes, one of which appears at this spatiotemporal transition. Finally, we observe a diversity of nIPC morphologies that do not correlate with specific transcriptomic subtypes. These results provide an analysis of the spatiotemporal, transcriptional, and morphological diversity of nIPCs in developing brain tissue and provide an atlas of nIPC subtypes in the developing human cortex that can benchmark in vitro models of human development such as cerebral organoids and help inform future studies of how nIPCs contribute to cortical neurogenesis.

Keywords: cortex; development; human; neuronal; progenitor.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Cerebral Cortex / embryology*
  • Green Fluorescent Proteins / metabolism
  • Humans
  • Neural Stem Cells / cytology*
  • Neural Stem Cells / metabolism
  • Neurogenesis
  • Reproducibility of Results
  • Sequence Analysis, RNA
  • Single-Cell Analysis
  • Time Factors
  • Transcriptome / genetics

Substances

  • Green Fluorescent Proteins