Single-cell RNA sequencing reveals profibrotic roles of distinct epithelial and mesenchymal lineages in pulmonary fibrosis.
A Christian HabermannAustin J GutierrezLinh T BuiStephanie L YahnNichelle I WintersCarla L CalviLance PeterMei-I ChungChase J TaylorChristopher JetterLatha RajuJamie RobersonGuixiao DingLori WoodJennifer M S SucreBradley W RichmondAna P SerezaniWyatt J McDonnellSimon B MallalMatthew J BacchettaJames E LoydCiara M ShaverLorraine B WareRoss M BremnerRajat WaliaTimothy S BlackwellNicholas E BanovichJonathan A KropskiPublished in: Science advances (2020)
Pulmonary fibrosis (PF) is a form of chronic lung disease characterized by pathologic epithelial remodeling and accumulation of extracellular matrix (ECM). To comprehensively define the cell types, mechanisms, and mediators driving fibrotic remodeling in lungs with PF, we performed single-cell RNA sequencing of single-cell suspensions from 10 nonfibrotic control and 20 PF lungs. Analysis of 114,396 cells identified 31 distinct cell subsets/states. We report that a remarkable shift in epithelial cell phenotypes occurs in the peripheral lung in PF and identify several previously unrecognized epithelial cell phenotypes, including a KRT5- /KRT17 + pathologic, ECM-producing epithelial cell population that was highly enriched in PF lungs. Multiple fibroblast subtypes were observed to contribute to ECM expansion in a spatially discrete manner. Together, these data provide high-resolution insights into the complexity and plasticity of the distal lung epithelium in human disease and indicate a diversity of epithelial and mesenchymal cells contribute to pathologic lung fibrosis.
Keyphrases
- single cell
- extracellular matrix
- pulmonary fibrosis
- rna seq
- induced apoptosis
- high throughput
- neoadjuvant chemotherapy
- high resolution
- cell cycle arrest
- stem cells
- bone marrow
- endothelial cells
- systemic sclerosis
- oxidative stress
- endoplasmic reticulum stress
- signaling pathway
- electronic health record
- lymph node
- cell proliferation
- big data
- radiation therapy
- cell therapy
- machine learning
- liquid chromatography
- induced pluripotent stem cells