Treffer: scRNA-seq data of: A novel in vitro tubular model to recapitulate features of distal airways: the bronchioid

Title:
scRNA-seq data of: A novel in vitro tubular model to recapitulate features of distal airways: the bronchioid
Contributors:
Leipold, Alexander M., Saliba, Antoine-Emmanuel
Publisher Information:
Zenodo
Publication Year:
2024
Collection:
Zenodo
Subject Terms:
Document Type:
dataset
Language:
English
DOI:
10.5281/zenodo.10831475
Rights:
Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number:
edsbas.7EB1DA18
Database:
BASE

Weitere Informationen

We provide a .Rds file of an annotated Seurat Object of scRNA-seq data of two bronchioid models derived from distinct donors after 21days of culture using 10x genomics 3' v3 chemistry. Raw data was processed using CellRanger v7.1.0. Cells were filtered based on detected UMIs (>2000) and fraction of mitochondrial counts (<10%).Metadata annotations contain:- Patient -> patient information for every cell (patient1 or patient2)- nCount_RNA -> UMI counts per cell- nFeature_RNA -> genes detected per cell- percent.mt -> mitochondrial count fraction per cell- seurat_clusters -> unsupervised clustering results using Louvain algorithm with resolution = 0.5- Manual.Annotation -> Cell types annotated based on marker gene expression- Celltypist.prediction -> Cell types predicted with CellTypist Python package- Celltypist.prediction.ari -> Cell types predicted with CellTypist Python package, with harmonized names for comparison with manual annotation