Copied to clipboard!

Single-cell profiling reveals conserved epithelial composition and CFTR expression in human nasal epithelial and BCi airway cultures.

We generated single-cell RNA-sequencing profiles from differentiated human nasal epithelial (HNE) cells obtained from one healthy donor and from the immortalized human airway basal cell line BCi-NS1.1. Both models were differentiated under air-liquid interface conditions for 30 days before cell dissociation, single-cell partitioning, barcoding, and sequencing using the 10x Genomics Chromium Single Cell 3′ Reagent Kit v4. The dataset contains approximately 30,146 cells and was generated to compare epithelial cell composition and CFTR expression between primary HNE-derived and BCi-derived airway epithelia. The data identify basal, suprabasal, ciliated, deuterosomal, secretory, goblet, ionocyte, macroalveolar, and neuroendocrine populations and support evaluation of BCi-NS1.1 as a complementary model for cystic fibrosis airway research.

Type: Transcriptome Sequencing
Archive: European Genome-phenome Archive (EGA)

1 Dataset

Click on a Dataset ID in the table below to learn more, and to find out who to contact about access to these data

Dataset ID	Description	Technology	Samples
EGAD50000003161	This dataset contains single-cell RNA-sequencing data from two human airway epithelial samples: differentiated primary human nasal epithelial cell cultures and the BCi-NS1.1 immortalized airway epithelial cell line. The data were generated using Illumina sequencing technology and comprise paired-end FASTQ files (R1 and R2) for each sample, together with index-read FASTQ files (I1 and I2) for the primary nasal epithelial cell sample. The dataset was generated to characterise airway epithelial cell populations and CFTR expression. It is subject to controlled access under the associated Data Access Policy and Data Access Committee.	Illumina NovaSeq X Plus	2