Decoding epithelial-fibroblast interactions in lung adenocarcinoma through single-cell and spatial transcriptomics.

ABSTRACT:

Background

Lung adenocarcinoma (LUAD) exhibits significant cellular heterogeneity, yet the precise interactions between epithelial and stromal cells remain unclear. This study integrates single-cell and spatial transcriptomics to delineate tumor microenvironment dynamics, aiming to uncover key cellular subpopulations and their roles in LUAD progression.

Methods

We analyzed single-cell RNA sequencing (scRNA-seq) data from 21 LUAD patients and performed spatial transcriptomic deconvolution. Epithelial and fibroblast subpopulations were identified using Seurat and Harmony. Cell-cell communication was inferred via CellChat, while metabolic interactions were assessed using MEBOCOST. Copy number variation (CNV) analysis distinguished malignant cells, and trajectory inference mappe

SUBMITTER: Yang J 

PROVIDER: S-EPMC12290149 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature