Identifying a survival-associated cell type based on multi-level transcriptome analysis in idiopathic pulmonary fibrosis.

ABSTRACT:

Background

Idiopathic pulmonary fibrosis (IPF) is a progressive disease with a five-year survival rate of less than 40%. There is significant variability in survival time among IPF patients, but the underlying mechanisms for this are not clear yet.

Methods and results

We collected single-cell RNA sequence data of 13,223 epithelial cells taken from 32 IPF patients and bulk RNA sequence data from 456 IPF patients in GEO. Based on unsupervised clustering analysis at the single-cell level and deconvolution algorithm at bulk RNA sequence data, we discovered a special alveolar type 2 cell subtype characterized by high expression of CCL20 (referred to as ATII-CCL20), and found that IPF patients with a higher proportion of ATII-CCL20 had worse prognoses. Furthermore, we uncovered th

SUBMITTER: Xu F 

PROVIDER: S-EPMC10941445 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature