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

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 epide...

Full description

Saved in:
Bibliographic Details
Main Authors: Min Hyung Ryu, Jeong H. Yun, Kangjin Kim, Michele Gentili, Auyon Ghosh, Frank Sciurba, Lucas Barwick, Andrew Limper, Gerard Criner, Kevin K. Brown, Robert Wise, Fernando J. Martinez, Kevin R. Flaherty, Michael H. Cho, Peter J. Castaldi, Dawn L. DeMeo, Edwin K. Silverman, Craig P. Hersh, Jarrett D. Morrow
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Genomics
Subjects:
Chronic obstructive pulmonary disease
Idiopathic pulmonary fibrosis
RNA sequencing
Computational deconvolution
Lung function tests
Cell type-specific gene expression.
Online Access:https://doi.org/10.1186/s12864-024-11031-5
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1186/s12864-024-11031-5

Similar Items