Prognostic model of fibroblasts in idiopathic pulmonary fibrosis by combined bulk and single-cell RNA-sequencing.

ABSTRACT:

Background

Fibroblasts play an important role in the development of idiopathic pulmonary fibrosis (IPF).

Methods

We employed single-cell RNA-sequencing data obtained from the Gene Expression Omnibus database to perform cell clustering and annotation analyses. We then performed secondary clustering of fibroblasts and conducted functional enrichment and cell trajectory analyses of the two newly defined fibroblast subtypes. Bulk RNA-sequencing data were used to perform consensus clustering and weighted gene co-expression network analysis. We constructed a fibroblast-related prognostic model using least absolute shrinkage, selection operator regression, and Cox regression analysis. The prognostic model was validated using a validation dataset. Immune infiltration and functional

SUBMITTER: Zhao J 

PROVIDER: S-EPMC11305307 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature