Computational deconvolution of cell type-specific gene expression in COPD and IPF lungs reveals disease severity associations.

ABSTRACT:

Background

Chronic obstructive pulmonary disease (COPD) and idiopathic pulmonary fibrosis (IPF) are debilitating diseases associated with divergent histopathological changes in the lungs. At present, due to cost and technical limitations, profiling cell types is not practical in large epidemiology cohorts (n > 1000). Here, we used computational deconvolution to identify cell types in COPD and IPF lungs whose abundances and cell type-specific gene expression are associated with disease diagnosis and severity.

Results

We analyzed lung tissue RNA-seq data from 1026 subjects (COPD, n = 465; IPF, n = 213; control, n = 348) from the Lung Tissue Research Consortium. We performed RNA-seq deconvolution, querying thirty-eight discrete cell-type varieties in the lungs. We tested whethe

SUBMITTER: Ryu MH 

PROVIDER: S-EPMC11654147 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature