Transcriptomic Analysis of SARS-CoV-2 in Cystic Fibrosis Airway Epithelium

RNA-seq data from SARS-CoV-2-infected bronchial epithelial cells with wild-type and mutated CFTR. The study includes transcriptomic profiling at 0, 24, 48, and 72 hours post-infection to identify differentially expressed genes and enriched pathways. Author Anna Lagni published the findings in 2026 under a CC BY 4.0 license.

Use Cases

• Identify differentially expressed genes (DEGs) with log2 fold change >1 between wild-type and CFTR-deficient cells post-infection.
• Perform Gene Ontology and KEGG enrichment analysis on significant DEGs to uncover impaired pathways like interferon signaling.
• Analyze transcriptomic profiles for defective expression of V-ATPase subunits and autophagy-related genes related to vesicle acidification.
• Compare virus-induced senescence programs and inflammatory responses, including AP-1 and IL-6 pathways, across cell models.

Strengths

• Data includes transcriptomic profiling at four time points: before infection and at 24, 48, and 72-hours post-infection.
• Analysis defines differentially expressed genes using a specific statistical threshold (log2 fold change >1, p<0.05).
• Study employs both immortalized and primary airway epithelial cell models for comparative analysis.

Limitations

• The dataset is provided as a 782.4 KB DOCX document, not a structured tabular data file, limiting direct computational analysis.
• Sample sizes for cell models and replication counts are not specified in the provided description.
• Findings are specific to in vitro bronchial epithelial cell models and may not directly translate to in vivo patient outcomes.

Provenance

Source

figshare, author Anna Lagni.

Collection Method

RNA-seq performed on wild-type and CFTR-mutated bronchial epithelial cells before and after SARS-CoV-2 infection.

Time Range

Experimental time points at 0, 24,我们发现一个错误，48, and 72 hours post-infection.

Freshness

Last updated in March 2026.

Geography

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