Ontology highlight
ABSTRACT: Background
Worldwide, lung cancer stands as the predominant contributor to cancer mortality, characterized by substantial heterogeneity alongside intricate tumor microenvironment interactions. Gaining insight into how immune cells behave across space and time, coupled with profiling key gene expression, offers pathways toward comprehending disease advancement and uncovering therapeutic innovations.Methods
Characterization of the lung cancer immune cell landscape was achieved through single-cell RNA sequencing technology. Advanced dimensionality reduction techniques, encompassing UMAP and t-SNE methodologies, enabled multimodal examination of how cells are composed and distributed spatially. Gene Ontology (GO) enrichment alongside pathway analyses were executed to pinpoint b
SUBMITTER: Huang H
PROVIDER: S-EPMC12770138 | biostudies-literature | 2025 Dec
REPOSITORIES: biostudies-literature