The Identification Markers of activated myofibroblast subsets in the Human Lung Fibrosis Ecosystem via integrated omics Analysis.

This article discusses the identification markers of activated myofibroblast subsets in the human lung fibrosis ecosystem through integrated omics analysis. The study utilized single-cell RNA sequencing (scRNA-seq) to analyze the phenotypic and functional characteristics of human pulmonary fibrosis (PF). The researchers identified the dynamic changes in the extracellular matrix (ECM) and potential markers of myofibroblasts using a polynomial regression model. Additionally, bulk RNA-seq analysis identified eight new activating markers of myofibroblasts. The findings suggest that understanding the contributions of ECM and myofibroblast subsets could lead to potential therapeutic targets for PF. [Extracted from the article]