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Computational Deconvolution of Cell Type-Specific Gene Expression in COPD and IPF Lungs Reveals Disease Severity Associations.

Min Hyung RyuJeong Hyun YunKangjin KimMichele GentiliAuyon GhoshFrank SciurbaLucas BarwickAndrew LimperGerard CrinerKevin K BrownRobert WiseFernando J MartinezKevin R FlahertyMichael H ChoPeter J CastaldiDawn L DeMeoEdwin K SilvermanCraig P HershJarrett D Morrow
Published in: medRxiv : the preprint server for health sciences (2024)
Utilization of RNA-seq deconvolution enabled us to pinpoint cell types present in the lungs that are associated with the severity of COPD and IPF. This knowledge offers valuable insight into the alterations within tissues in more advanced illness, ultimately providing a better understanding of the underlying pathological processes that drive disease progression.
Keyphrases
  • rna seq
  • single cell
  • gene expression
  • idiopathic pulmonary fibrosis
  • chronic obstructive pulmonary disease
  • lung function
  • dna methylation
  • healthcare
  • stem cells
  • mesenchymal stem cells
  • bone marrow