Ontology highlight
ABSTRACT: Background
Lung adenocarcinoma (LUAD) posed a significant threat to global human health. This study employed single-cell RNA sequencing (scRNA-seq) to analyze transcriptomic data from nine LUAD patients at different stages of tumor infiltration, aiming to elucidate the tumor microenvironment and key biological processes of LUAD.Methods
In this study, we processed the scRNA-seq data using the Seurat package and sequentially applied principal component analysis followed by the Harmony package to effectively correct for batch effects, identifying 105,725 high-quality cells. Through cell clustering and gene expression profiling, we identified critical cell subpopulations and gene expression patterns in LUAD patients.Results
Our analysis revealed that the C4 MYH11+ Fibro
SUBMITTER: Jia H
PROVIDER: S-EPMC11982484 | biostudies-literature | 2025 May
REPOSITORIES: biostudies-literature