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Next Generation Sequencing Quantitative Analysis of RA-UIP, IPF-UIP, and Non-UIP Patient Lung Biopsy Transcriptomes

ABSTRACT: Purpose: The goal of this study is to compare transcriptome profiling (RNA-seq) of lung tissue biopsies derived from patients with idiopathic pulmonary fibrosis (IPF or IPF-UIP), or rheumatoid arthritis-associated interstitial diseases (RA-ILD or RA-UIP), or non-usual interstitial pneumonia (non-UIP) controls. Methods: Total RNA was extracted using the RNeasy kit (Qiagen) from fresh frozen lung tissue obtained from the Lung Tissue Repository Consortium (LTRC). RNA samples were then sent to the Genome Analysis Core at Mayo Clinic for sequencing using conventional Illumina mRNA-Seq protocols. A total of 23,295 genes were probed using this platform. Results: RNA-seq data revealed considerable transcriptomic differences between the groups. A heat map generated with the most differentially expressed genes (P<0.05) revealed two distinct gene expression profiles among the three groups. The heat map for the 3 RA-UIP and 20 IPF patients showed a similar gene expression pattern, which contrasted significantly from the non-UIP control group. Conclusions: The RNA-Seq data analysis shows similarities and differences between gene expression profiles of RA-UIP and IPF, suggesting both shared and differential disease-causing mechanistic pathways. Transcriptomic data distinguishes the RA-UIP group from IPF via JAK2-related JAK/STAT signaling pathways.

ORGANISM(S): Homo sapiens

PROVIDER: GSE199152 | GEO | 2022/05/31

REPOSITORIES: GEO

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