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<p>Despite significant advances in understanding lung development, the intricate cellular interactions and spatial organization of the developing human lung remain incompletely defined. Spatial transcriptomics enables gene expression profiling within the native tissue context, providing unprecedented insights into complex developmental processes. In this study, we applied the 10X Genomics Visium platform to characterize spatially resolved transcriptional profiles of prenatal human lungs during the pseudoglandular and canalicular stages.Spatial transcriptomic analysis of 12 prenatal lung samples (13–20 weeks gestation) identified 10 distinct transcriptional niches corresponding to unique combinations of epithelial, mesenchymal, endothelial, and immune cell populations. Unsupervised clustering revealed developmental shifts in spot/niche composition from the pseudoglandular to canalicular stage, with a progressive increase in alveolar epithelial spots and a concomitant decline in mesenchymal regions, particularly in peripheral lung areas. Differential gene expression analysis demonstrated stage-specific transcriptional transitions in individual spot types, including downregulation of cell cycle and structural pathways and upregulation of secretory pathways as the lung matures. Spatial organization analysis revealed increasing compartmentalization of pulmonary cell types, highlighting the progressive structuring of the distal lung microenvironment. In summary, this study provides a spatial map of the developing human lung, offering novel insights into pulmonary lineage dynamics and cellular interactions during early organogenesis.</p>

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Spatial transcriptomics of developing human lungs defines cellular phenotypes associated with age, lineage and location

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2026年1月3日

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  • Yue Ren,
  • Soula Danopoulos,
  • Gail H. Deutsch,
  • Ian A. Glass,
  • Thomas J. Mariani,
  • Soumyaroop Bhattacharya

摘要

Despite significant advances in understanding lung development, the intricate cellular interactions and spatial organization of the developing human lung remain incompletely defined. Spatial transcriptomics enables gene expression profiling within the native tissue context, providing unprecedented insights into complex developmental processes. In this study, we applied the 10X Genomics Visium platform to characterize spatially resolved transcriptional profiles of prenatal human lungs during the pseudoglandular and canalicular stages.Spatial transcriptomic analysis of 12 prenatal lung samples (13–20 weeks gestation) identified 10 distinct transcriptional niches corresponding to unique combinations of epithelial, mesenchymal, endothelial, and immune cell populations. Unsupervised clustering revealed developmental shifts in spot/niche composition from the pseudoglandular to canalicular stage, with a progressive increase in alveolar epithelial spots and a concomitant decline in mesenchymal regions, particularly in peripheral lung areas. Differential gene expression analysis demonstrated stage-specific transcriptional transitions in individual spot types, including downregulation of cell cycle and structural pathways and upregulation of secretory pathways as the lung matures. Spatial organization analysis revealed increasing compartmentalization of pulmonary cell types, highlighting the progressive structuring of the distal lung microenvironment. In summary, this study provides a spatial map of the developing human lung, offering novel insights into pulmonary lineage dynamics and cellular interactions during early organogenesis.