autoencodix/census-lung

Tasks

• feature-extraction

Citation text from the card

Licensed **CC-BY-4.0**, per [CZ CELLxGENE Discover's data reuse policy](https://chanzuckerberg.github.io/cellxgene-census/) - every dataset admitted to Census is contributed under this license by the original authors. Attribution to the original contributing studies (not just CZI) is a term of that license. This dataset draws cells from 23 distinct publications/collections:

- Sikkema et al. (2023) Nat Med — "The integrated Human Lung Cell Atlas" (31,485 cells)
- Salcher et al. (2022) Cancer Cell — "High-resolution single-cell atlas reveals diversity and plasticity of tumor-associated neutrophils in non-small cell lung cancer" (26,179 cells)
- Guo et al. (2023) Nat Commun — "Human CellCards Multi-Study CellRef 1.0 Atlas" (5,191 cells)
- Xu et al. (2025) Nat Genet — "Integrated human endoderm-derived organoids cell atlas (HEOCA)" (4,188 cells)
- "Bronchopulmonary Dysplasia" collection, no citation on file in Census (3,546 cells)
- Natri et al. (2024) Nat Genet — "Single-cell RNA-seq analysis of Interstitial Lung Disease (ILD) subtypes" (2,266 cells)
- Madissoon et al. (2023) Nat Genet — "A spatially resolved atlas of the human lung characterizes a gland-associated immune niche" (2,193 cells)
- Travaglini et al. (2020) Nature — "A molecular cell atlas of the human lung from single cell RNA sequencing" (2,099 cells)
- Lim et al. (2023) Cell Stem Cell — "Organoid modeling of human fetal lung alveolar development reveals mechanisms of cell fate patterning and neonatal respiratory 

All datasets marked Permissive or share-alike | JSON