PGAP3 regulates human bronchial epithelial cell mRNAs present in asthma and respiratory virus reference data sets
Leslie, E.; Miller, M.; LaFuze, A.; Svyatskaya, S.; Choi, G.-S.; Broide, D. H.
Show abstract
PGAP3 is a glycosylphosphatidylinositol (GPI) phospholipase gene localized within chromosome 17q12-21, a region highly linked to asthma. Although much is known about the function of other chromosome 17q12-21 genes expressed at increased levels in bronchial epithelium such as ORMDL3 and GSDMB, little is known about the function of increased PGAP3 expression in bronchial epithelium in the context of asthma. The aim of this study was therefore to determine whether increased PGAP3 expression in human bronchial epithelial cells regulated expression of mRNA pathways important to the pathogenesis of asthma by utilizing RNA-sequencing and bioinformatic analysis. We performed RNA-sequencing on normal human bronchial epithelial cells transfected with PGAP3 for 24 and 48 hours. PGAP3 regulated genes were compared to asthma and respiratory virus (influenza A, rhinovirus, respiratory syncytial virus) reference data sets to identify PGAP3 target genes and pathways. Approximately 9% of the upregulated PGAP3-induced genes were found in an asthma reference data set, 41% in a rhinovirus reference data set, 33% in an influenza A reference data set, and 3% in a respiratory syncytial virus reference data set. PGAP3 significantly upregulated the expression of several genes associated with the innate immune response and viral signatures of respiratory viruses associated with asthma exacerbations. Two of the highest expressed genes induced by PGAP3 are RSAD2, OASL, and IFN-{lambda}, which are anti-viral genes associated with asthma. PGAP3 also upregulated the antiviral gene BST2, which like PGAP3 is a GPI-anchored protein. We conclude that PGAP3 expression in human bronchial epithelial cells regulates expression of genes known to be linked to asthma, and also regulates the bronchial epithelial expression of genes pertinent to the pathogenesis of respiratory viral triggered asthma exacerbations.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Single-cell profiling of bronchoalveolar cells reveals a Th17 signature in neutrophilic severe equine asthma 91%
- TLR8-Activating miR-146a-3p is an Intermediate Signal Contributing to Fetal Membrane Inflammation in Response to Bacterial LPS 89%
- Inhibition of PI3K p110δ activity reduces IgE production in IL-4 and anti-CD40 stimulated human tonsil B cell cultures 89%
Similar papers in this journal
- Revealing the impact of Pseudomonas aeruginosa quorum sensing molecule 2'-aminoacetophenone on human bronchial-airway epithelium and pulmonary endothelium using a human airway-on-a-chip 93%
- SARS-CoV-2 accessory proteins involvement in inflammatory and profibrotic processes through IL11 signaling 92%
- Immunoprofiling reveals novel mast cell receptors and a continuous nature of human lung mast cell heterogeneity 92%
Similar papers in this journal
- Distinct exosomal miRNA profiles from BALF and lung tissue from COPD and IPF patients 92%
- Modelling the effects of PPARβδ of innate inflammatory responses in lung tissues 90%
- Drug repurposing for Cystic Fibrosis: identification of drugs that induce CFTR-independent fluid secretion in nasal organoids 90%
Similar papers in this journal
- Distribution of ACE2, CD147, cyclophilins, CD26 and other SARS-CoV-2 associated molecules in human tissues and immune cells in health and disease 94%
- The effects of inhaled corticosteroids on healthy airways 93%
- Epigenetic regulation of epithelial dectin-1 through an IL-33-STAT3 axis in allergic disease 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.