Single cell RNA analysis identifies cellular heterogeneity and adaptive responses of the lung at birth.
Minzhe GuoYina DuJason J GokeySamriddha RaySheila M BellMike AdamParvathi SudhaAnne Karina PerlHitesh DeshmukhS Steven PotterJeffrey A WhitsettYan XuPublished in: Nature communications (2019)
The respiratory system undergoes a diversity of structural, biochemical, and functional changes necessary for adaptation to air breathing at birth. To identify the heterogeneity of pulmonary cell types and dynamic changes in gene expression mediating adaptation to respiration, here we perform single cell RNA analyses of mouse lung on postnatal day 1. Using an iterative cell type identification strategy we unbiasedly identify the heterogeneity of murine pulmonary cell types. We identify distinct populations of epithelial, endothelial, mesenchymal, and immune cells, each containing distinct subpopulations. Furthermore we compare temporal changes in RNA expression patterns before and after birth to identify signaling pathways selectively activated in specific pulmonary cell types, including activation of cell stress and the unfolded protein response during perinatal adaptation of the lung. The present data provide a single cell view of the adaptation to air breathing after birth.
Keyphrases
- single cell
- rna seq
- high throughput
- gene expression
- pulmonary hypertension
- cell therapy
- gestational age
- stem cells
- signaling pathway
- pregnant women
- bone marrow
- preterm infants
- binding protein
- mesenchymal stem cells
- machine learning
- small molecule
- dna methylation
- artificial intelligence
- computed tomography
- preterm birth
- contrast enhanced