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Series GSE185849 Query DataSets for GSE185849
Status Public on Nov 16, 2021
Title Single-cell RNA sequencing of airway submucosal glands in wild-type and cystic fibrosis Pigs
Organism Sus scrofa
Experiment type Expression profiling by high throughput sequencing
Summary Submucosal glands (SMGs) in the upper respiratory system of mammals play important roles in fluid secretion, mucociliary transport, and host defense. In people with cystic fibrosis (CF), airway mucus obstruction and SMG duct occlusion are hallmark features. Although intensive investigations have focused on airway surface epithelium in normal and diseased lungs, our knowledge of SMGs is limited in terms of cell biology and physiology. Here, we conducted single cell RNA sequencing (scRNA-seq) of airway SMGs in newborn piglets. First, we dissected individual SMGs and surrounding non-epithelial tissues from newborn non-CF (n = 4) and CF (n = 4) pig trachea. Second, we did scRNA-seq using 10x genomics chromium platform. Third, we processed the raw sequencing data using an improved RefSeq pig genome reference. Last, we integrated all samples together and clustered cells into 14 major cell clusters using Seurat R toolkit (Stuart et al., 2019). These data allowed us to elucidate airway SMGs at single cell resolution. Moreover, we found that cell-types and gene expression were the same in non-CF and CF SMGs, suggesting that loss of epithelial anion secretion rather than an intrinsic cell defect causes CF mucus abnormalities.
 
Overall design We dissected and collected individual tracheal SMGs from 4 wild-type (WT) and 4 CFTR-/- (CF) newborn pigs.To eliminate contamination of airway surface epithelial cells, we brushed off airway surface epithelial cells as much as possible. To explore the SMGs before dissection, we peeled the epithelial layer away from the cartilage layer of the trachea. Single cells were processed using the 10X Genomics Chromium controller. cDNA libraries were generated using the Chromium Single cell 3’ V2 kit. Sequencing was conducted on a HiSeq 4000 system from Illumina.
 
Contributor(s) Yu W, Welsh MJ
Citation(s) 35046051, 36108628
Submission date Oct 13, 2021
Last update date Jan 06, 2023
Contact name Michael J. Welsh
E-mail(s) michael-welsh@uiowa.edu
Organization name The University of Iowa & Howard Hughes Medical Institute
Department Internal Medicine
Lab Michael Welsh
Street address 200 Hawkins Dr, 6330 PBDB
City Iowa City
State/province Iowa
ZIP/Postal code 52242
Country USA
 
Platforms (1)
GPL22475 Illumina HiSeq 4000 (Sus scrofa)
Samples (8)
GSM5624622 WT1
GSM5624623 WT2
GSM5624624 WT3
Relations
BioProject PRJNA770994
SRA SRP341232

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE185849_RAW.tar 283.1 Mb (http)(custom) TAR (of H5)
GSE185849_SMG.rds.gz 2.8 Gb (ftp)(http) RDS
GSE185849_Sscrofa11.1_refseq_improved.gtf.gz 21.3 Mb (ftp)(http) GTF
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record
Processed data provided as supplementary file

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